osoparavos.com

An immodest proposal by Adam + AI

The Liberation of Imagination: In Support of the Dissolution of Intellectual Property Rights in Literature and the Arts

Introduction: Creativity as a Collective Inheritance

Every poem begins with a language that existed before its poet. Every painting draws upon a history of images, techniques, symbols, and visions inherited from generations of artists. Every novel is shaped, consciously or unconsciously, by the stories that preceded it, the experiences of its author, and the shared realities of human life. Creativity, although expressed through individual minds, is never entirely an individual achievement. It is a collective inheritance, continually renewed by the contributions of countless people, living and dead.

Yet modern intellectual property systems often treat creative expression as a form of private territory, granting authors, publishers, corporations, and other rights holders exclusive control over how particular works may be reproduced, adapted, distributed, or transformed. These protections can provide artists with income and recognition, but they also impose boundaries upon the cultural commons from which creativity emerges. When ideas, stories, images, melodies, and artistic techniques become enclosed by exclusive rights, the freedom to build upon our shared inheritance is restricted.

The case for dissolving intellectual property rights in literature and the arts rests upon a fundamental proposition: human creativity flourishes most fully when culture is accessible, adaptable, and collectively cultivated rather than governed by perpetual competition for ownership. A society that liberates creative works from exclusive control could encourage experimentation, democratize cultural participation, and allow ideas to develop beyond the limitations of their original creators. However, abolishing intellectual property would not, by itself, guarantee freedom. Without appropriate safeguards, the same openness that empowers independent creators could enable powerful corporations to appropriate their work and profit disproportionately from the cultural commons.

The challenge, therefore, is not merely to abolish ownership but to establish a new relationship between creativity, recognition, economic justice, and the public good.

I. The Illusion of Individual Ownership

The conventional justification for intellectual property begins with the individual creator. An author writes a book, a composer creates a melody, or an artist produces a painting, and the resulting work is understood as the product of personal intellectual labor. From this perspective, exclusive rights appear to be a natural extension of ownership: just as people may own the fruits of their physical labor, creators should control the fruits of their imagination.

There is a legitimate moral intuition behind this argument. Artists invest time, discipline, skill, and emotional energy in their work. They deserve recognition, and they need material conditions that allow them to continue creating.

Nevertheless, the analogy between intellectual and physical property is incomplete. A physical object is rivalrous: one person’s possession of a particular object may prevent another from using it simultaneously. An idea, a story, or a melody can be shared by millions without depriving its originator of the original. Creative expression is capable of abundance in a way that material goods are not.

Furthermore, no creative work emerges from an intellectual vacuum. Shakespeare drew upon existing histories, myths, and dramatic traditions. Contemporary filmmakers reinterpret established genres, while musicians continually transform inherited rhythms and harmonies. Writers develop their voices through reading other writers. Even the most original work is connected to an immense network of cultural influences.

Exclusive intellectual property rights can obscure this collective dimension by assigning legal control over particular expressions to designated rights holders. Although the law generally distinguishes unprotected ideas from protected expression, the practical restrictions surrounding finished works can still inhibit adaptations, quotations, translations, remixes, and other forms of cultural exchange.

Dissolving these exclusive rights would acknowledge that creativity is not simply a private possession but a contribution to an ongoing human conversation. The artist would remain the creator of the original work, but creation would no longer automatically confer the power to control its future cultural life.

II. The Cultural Commons and the Expansion of Possibility

A culture becomes richer when its members are free to respond to one another. A novel inspires a play; a painting becomes the foundation for a new visual language; a traditional melody is transformed into an entirely different musical form. These exchanges are not peripheral to artistic progress. They are among its principal engines.

When creative works enter a genuinely open commons, the costs of cultural participation can decline dramatically. Emerging writers could adapt neglected literature without negotiating complicated permissions. Independent filmmakers could reinterpret existing stories without confronting prohibitive licensing fees. Musicians could experiment with recordings and compositions, while educators and community organizations could circulate cultural materials more freely.

Such freedom would be especially valuable to creators who lack the financial resources, professional networks, or institutional influence necessary to secure permissions. A legal system that appears neutral in theory can create unequal practical burdens when navigating it requires money, specialist knowledge, or access to powerful rights holders.

The dissolution of exclusive rights could also encourage the preservation and revival of works that commercial markets have abandoned. Forgotten books, obscure films, regional music, and marginalized artistic traditions might find new audiences through adaptations, translations, and reinterpretations. Cultural value would no longer depend so heavily upon the commercial priorities of those controlling distribution.

The resulting society would not necessarily produce more masterpieces in any measurable sense. Rather, it would expand the range of people who could participate in making, transforming, and sharing culture. Its principal achievement would be an enlargement of possibility.

III. From Intellectual Scarcity to Creative Abundance

The economic structure of intellectual property is often defended as a means of ensuring that creators receive compensation for their work. Exclusive rights can allow authors and artists to license their creations, negotiate fees, and attract investment. These are important functions, particularly in an economy where artistic labor is frequently precarious.

Yet exclusive ownership also creates artificial scarcity around the use of works that can otherwise be reproduced at relatively low cost. The price of access may reflect not simply the cost of creating or distributing a work, but also the leverage conferred by exclusive control.

A more open cultural system could shift economic activity away from controlling access and toward supporting creation itself. Artists might receive income through public grants, subscriptions, voluntary patronage, commissions, live performances, exhibitions, teaching, cooperative production, and direct relationships with audiences. Publishers and cultural institutions could compete through editorial quality, discovery, preservation, production, and service rather than relying principally upon exclusive control over content.

This transition would not be effortless. Not every artist can earn a living from performances, donations, or commissions, and many forms of literature and art require years of work before an audience can assess their value. Public funding can be politically vulnerable, patronage can favor popular or fashionable work, and commercial sponsorship can introduce its own forms of dependence.

Abolition, therefore, should not be confused with the claim that art ought to be free of economic costs. Artists still need housing, food, materials, equipment, time, and security. The argument is instead that society should separate the right to make a living from the right to exclude others from cultural participation.

A just system would seek to guarantee artists the means to create without requiring them to exercise monopolistic control over the subsequent life of their works.

IV. The Central Danger: Who Profits from a Free Culture?

The most serious objection to abolishing intellectual property is not that creativity would cease. It is that the benefits of creative freedom might be captured by those who already possess the greatest economic power.

Imagine an independent writer who publishes a novel online. Under a system of unrestricted reuse, a multinational entertainment company could adapt that novel into a film, market it globally, and generate substantial revenue without paying the writer. A small artist might see an illustration reproduced across thousands of commercial products while receiving neither compensation nor meaningful recognition. A community’s traditional stories and artistic practices could be appropriated by outside businesses that possess greater marketing resources and distribution networks.

In these circumstances, the cultural commons could become an extractive economy: everyone would be permitted to use creative work, but only a few would possess the resources to turn that work into substantial wealth.

This possibility reveals an essential distinction between freedom of access and equality of opportunity. Removing exclusive rights may eliminate one obstacle to participation, but it does not eliminate unequal access to capital, technology, distribution, publicity, or institutional influence.

The answer cannot simply be to restore the same exclusive ownership structures under another name. Instead, a post-copyright society would need institutions that prevent the concentration of cultural wealth and ensure that the people who create public value share in the benefits.

The objective should be to liberate culture without liberating powerful intermediaries from their responsibilities to creators and communities.

V. Protecting Creative Ideas Without Re-establishing Copyright Monopolies

If exclusive intellectual property rights were dissolved, protection would need to be reimagined rather than abandoned. Several complementary mechanisms could help ensure that an open cultural commons remains genuinely public.

First, establish a universal right to attribution.

Freedom to reproduce and adapt a work need not mean freedom to misrepresent its origin. Creators should have strong, practical rights to be identified as the authors of their original contributions, and anyone distributing a substantially derived work should be encouraged or, where appropriate, required to acknowledge its sources.

Attribution would not give the original creator a veto over subsequent adaptations. Instead, it would preserve the historical record of cultural development, allowing audiences to trace the relationships between works and recognize the people whose efforts made later creations possible.

This distinction is fundamental: the right to be recognized as a creator is different from the right to control every future use of a creation.

Second, create a public cultural dividend.

If society benefits from unrestricted access to creative works, it could establish collective mechanisms through which creators receive financial support. Public funds, cultural levies, or contributions from large-scale commercial platforms could finance grants, fellowships, residencies, commissions, and universal basic support for artistic work.

A portion of the revenue generated by businesses that substantially exploit the cultural commons could be directed toward independent creators, cultural infrastructure, and underserved artistic communities. The details would require careful design to avoid favoring established institutions, popular genres, or politically influential artists.

Such a system would recognize that culture creates economic value beyond the work of any single individual. Instead of requiring every creator to defend a private monopoly, society would share responsibility for sustaining the conditions in which creativity becomes possible.

Third, require transparency from commercial users of the commons.

Large corporations that profit from open creative resources could be subject to disclosure requirements concerning their use of cultural materials, the provenance of significant inputs, and their contributions to collective cultural funds. Transparency would help the public understand where value originates and how it is distributed.

These obligations should be proportionate. An individual making a collage at home should not face the same administrative burden as a multinational company operating a large commercial platform. The purpose would be to address concentrations of economic power, not to create a new bureaucracy that discourages ordinary people from creating.

Fourth, protect creators against fraud and misrepresentation.

An open commons should not permit someone to falsely claim authorship of another person’s work, fabricate endorsements, forge provenance, or deliberately deceive audiences about a work’s origins. Consumer protection, fraud law, contractual remedies, and carefully defined attribution rules could address these abuses without granting creators broad exclusive control over reproduction and adaptation.

This would allow artistic works to circulate freely while maintaining accountability for dishonest commercial conduct.

Fifth, support cooperatives and shared ownership of infrastructure.

Artists could establish cooperatives that collectively operate publishing services, distribution networks, studios, archives, exhibition spaces, and digital platforms. These institutions could pool resources, negotiate service contracts, provide technical assistance, and distribute revenue among participating creators.

The emphasis would shift from defending individual monopolies to strengthening the collective bargaining power of creative communities. A cooperative publishing network, for example, could help authors reach international audiences while providing editing, translation, marketing, and income support.

Sixth, preserve the rights of communities to govern their cultural heritage.

Not all creative resources should be treated as universally available without qualification. Indigenous peoples and other communities may have legitimate interests in safeguarding sacred, confidential, or culturally restricted expressions. A blanket abolition of intellectual property could expose these materials to commercial exploitation by outsiders.

A fair system must therefore distinguish between opening ordinary cultural works to creative reuse and respecting community authority over knowledge that is not intended for unrestricted circulation. Community-led governance, consent procedures, and tailored protections would be necessary to prevent an ostensibly liberating policy from reproducing historical patterns of appropriation.

Together, these measures would offer a different model of cultural protection: fewer exclusive rights over the use of creative works, but stronger institutions for attribution, economic participation, transparency, and collective self-determination.

VI. Education, Artificial Intelligence, and the New Public Intelligence

The question becomes particularly urgent as digital technologies and artificial intelligence make it possible to reproduce, analyze, remix, and transform vast quantities of cultural material at unprecedented scale.

A public culture of unrestricted access could support new forms of education and experimentation. Students could study literature through adaptation, independent researchers could investigate artistic movements using large collections of works, and creators could collaborate across languages and disciplines with fewer legal barriers. Machine-assisted tools could help individuals with limited resources participate in cultural production.

But these opportunities also intensify the problem of unequal appropriation. A small group of technology companies may possess the computing infrastructure, distribution systems, and capital required to turn widely shared cultural material into privately controlled services. Independent creators may contribute to the underlying cultural wealth while receiving little influence over the products built from it.

The solution cannot be to assume that every use of cultural material automatically produces a public benefit. Nor should every technological transformation be treated as an infringement of individual ownership. Instead, society should evaluate the institutions through which collective knowledge is gathered, transformed, and monetized.

Systems that substantially profit from the cultural commons could be required to contribute to independent cultural production, disclose meaningful information about their operations, and provide accessible routes for creators and communities to challenge fraudulent attribution or misuse of protected cultural interests.

The broader principle is that the public’s freedom to use culture should not become a private corporation’s freedom to monopolize the infrastructure through which culture is accessed.

A genuinely open cultural order must democratize not only the raw material of creativity but also the means of developing, distributing, and benefiting from it.

VII. A Transition Toward a Post-Copyright Society

Dissolving intellectual property rights would be a profound institutional transformation. Implementing it responsibly would require more than a declaration that all creative works are free.

Existing artists may have relied on licensing agreements, royalties, or contractual expectations for their livelihoods. Abruptly eliminating these arrangements could impose severe costs on precisely the people whose creative freedom the reform seeks to expand. The law would also need to address the treatment of existing contracts, archives, unpublished works, and works containing private or sensitive material.

A gradual transition could begin by expanding the public domain, supporting voluntary open licensing, strengthening cultural cooperatives, and establishing public funding for independent creators. Governments and cultural institutions could invest in accessible archives and open educational resources while evaluating alternative methods of distributing cultural revenue.

Pilot programs could test collective cultural funds, creator cooperatives, and transparent contribution systems before broader reforms were introduced. The results should be assessed against concrete measures: artists’ financial security, the diversity of cultural participation, public access, the concentration of commercial revenue, and the ability of marginalized communities to protect their interests.

Such a transition would also require international cooperation. Literature, music, film, and digital media circulate across national borders, while intellectual property laws differ between jurisdictions. Any serious effort to create a shared cultural commons would have to address these differences and avoid placing creators in weaker positions merely because they live in countries with fewer resources.

The purpose of gradual reform would not be to preserve the existing system indefinitely. It would be to ensure that the movement toward openness does not leave creators economically exposed while powerful institutions adapt more quickly and capture the benefits.

Conclusion: Creativity as a Shared Human Right

The dissolution of intellectual property rights in literature and the arts invites us to reconsider what creativity is for. Is a poem primarily an asset to be controlled, a painting an exclusive commodity, or a story a possession whose value depends upon the power to restrict its circulation? Or are these works contributions to a shared human inheritance, gaining new meaning as they pass between people, cultures, and generations?

The argument for a cultural commons begins with the recognition that creativity is both individual and collective. Artists deserve dignity, recognition, and the material conditions necessary to work, but these needs do not necessarily justify permanent or expansive control over the cultural expressions they create. A society can honor its artists without treating every artistic contribution as private territory.

The strongest case for dissolution is therefore not a demand that creators surrender their interests to an unrestricted market. It is a demand that the benefits of culture be distributed more equitably and that the freedom to participate in artistic life take precedence over the preservation of exclusive control.

Such a society would protect attribution without granting a veto over adaptation. It would sustain artistic livelihoods through public investment, cooperative institutions, and fair contributions from commercial beneficiaries. It would prevent fraud, recognize community authority over sensitive cultural heritage, and challenge the concentration of power in the institutions that distribute creative work.

Above all, it would understand that openness alone is insufficient. A free commons without economic justice can become a resource for the powerful; a protected creator without freedom of cultural exchange can become isolated from the very traditions that make creativity possible.

The goal must be to achieve both freedom and fairness.

Ideas cannot be liberated meaningfully if the people who develop them are left without the means to live. Nor can creativity reach its full social potential if the public must continually seek permission to engage with its own cultural inheritance. The task is to build institutions that preserve the conditions for artistic creation while allowing its results to circulate, evolve, and inspire further work.

A culture is not diminished when its stories are retold, its images reinterpreted, or its melodies transformed. It is alive precisely because people continue to make something new from what they have received.

The ultimate measure of a creative society should not be how successfully it encloses imagination, but how generously it enables imagination to multiply. By replacing exclusive intellectual property with a carefully governed, economically just cultural commons, humanity could move closer to a world in which creativity is not merely a private asset, but a shared and continually renewing source of freedom.

_____________________________

Raising the Quality of AI-Supported Art, Literature, Science, and Philosophy Through Major Prizes

Introduction

Artificial intelligence is transforming the way people write books, create visual art, conduct scientific research, and explore philosophical questions. These technologies allow individuals to develop ideas, experiment with unfamiliar styles, investigate complex problems, and produce creative work with unprecedented speed. Yet the ability to produce more work does not automatically lead to better work. When AI makes the creation of books, images, music, and research easier, society faces a new challenge: how can it encourage originality, depth, intellectual honesty, and genuine excellence rather than simply rewarding speed, popularity, or technical sophistication?

One promising answer is the establishment of major international prizes for outstanding artworks, literature, scientific discoveries, and philosophical contributions supported by AI. Inspired by the influence of prizes such as the Nobel Prizes, the Booker Prize, and other prestigious cultural and scientific awards, these initiatives could establish ambitious standards for AI-supported achievement. By combining substantial financial rewards, public recognition, independent evaluation, and a commitment to human creativity, such prizes could help raise the quality of AI-supported books and art while encouraging more responsible and thoughtful uses of artificial intelligence.

1. From Producing More to Creating Better

A central consequence of AI is that the cost of producing creative material has fallen dramatically. Writers can generate alternative chapters, artists can explore numerous visual compositions, and researchers can examine possibilities that would previously have required months of work. These capabilities are valuable, but they also create a problem of abundance. When almost anyone can generate a polished-looking book cover, a plausible story, or a sophisticated essay in minutes, technical polish becomes a less reliable indicator of quality.

The most important question is therefore no longer simply whether a work can be produced, but whether it deserves to exist and be remembered.

Major prizes can help answer this question by distinguishing exceptional achievements from the vast quantity of ordinary output. They can reward works that demonstrate originality, emotional power, intellectual depth, craftsmanship, and lasting significance. In literature, this might mean a novel that offers a profound understanding of human experience. In visual art, it might mean a work that develops a distinctive aesthetic vision rather than reproducing familiar styles. In science, it might mean a discovery that changes how a problem is understood. In philosophy, it might mean an argument that clarifies a difficult question or challenges deeply rooted assumptions.

By celebrating these achievements, prizes would send a clear message: AI is valuable not merely because it accelerates production, but because it can help people pursue forms of excellence that would otherwise be difficult to achieve.

2. Creating New Standards for AI-Supported Literature

AI-supported literature offers opportunities to expand the possibilities of storytelling. Writers can use AI to test narrative structures, develop complex characters, investigate historical settings, compare alternative endings, and refine their prose. Translators can use it to explore linguistic nuances, while authors working in unfamiliar genres can employ it as a partner in experimentation.

However, these advantages also introduce risks. AI-generated writing can become repetitive, formulaic, excessively explanatory, or emotionally unconvincing. It may imitate established authors without developing a distinctive voice. Books produced under pressure to maximize sales or online engagement may prioritize familiar formulas over literary ambition.

A major international prize for AI-supported literature could counter these tendencies by rewarding literary achievement rather than the mere presence of AI. Judges could evaluate narrative coherence, stylistic originality, psychological insight, thematic complexity, and the work’s contribution to literature. They could ask whether AI enabled the author to accomplish something artistically meaningful that would have been more difficult to achieve otherwise.

Such a prize could also encourage authors to treat AI as a demanding creative instrument rather than an automatic substitute for judgment. An author might generate dozens of possible passages, but the quality of the final book would depend on the ability to recognize the strongest ideas, reject weak alternatives, revise relentlessly, and preserve a coherent artistic vision.

The prize would thus encourage a culture of selection, revision, and reflection. It could help establish the principle that the abundance of AI-generated possibilities makes human editorial judgment more important, not less.

3. Encouraging Originality and Experimentation in the Visual Arts

The visual arts present a similar challenge. AI image-generation systems can produce technically impressive pictures in seconds, but visual sophistication alone does not guarantee artistic significance. A compelling artwork often depends on a relationship between form, meaning, historical context, material, and the artist’s intentions.

A major prize for AI-supported art could encourage artists to move beyond predictable prompts and familiar visual conventions. Rather than rewarding the most photorealistic image or the most elaborate digital composition, juries could recognize work that develops a distinctive artistic language, explores new relationships between humans and machines, or uses AI to question established assumptions about perception, identity, memory, and society.

For example, an artist might use AI to reinterpret family archives, investigate the visual consequences of climate change, or construct an interactive artwork that evolves through collaboration between people and algorithms. The artistic achievement would lie not simply in the generated images, but in the conceptual framework, creative decisions, experimentation, and emotional or intellectual effect of the complete work.

Prizes could also encourage artists to explore methods that combine AI with painting, sculpture, photography, animation, performance, and other traditional practices. This would help prevent AI art from becoming a narrow contest in prompt-writing or image generation.

Importantly, the evaluation of originality would need to consider the work’s relationship to existing art. Artists should not receive major recognition merely for producing attractive variations on other people’s styles. Awards could instead favor meaningful transformation, distinctive expression, and responsible engagement with artistic influences.

4. Applying the Lessons of Scientific Prizes

Science offers particularly useful lessons because prestigious scientific awards have long sought to recognize discoveries that contribute substantially to human knowledge. AI can support scientific work by analyzing large datasets, identifying patterns, suggesting hypotheses, assisting with simulations, and helping researchers investigate questions that exceed ordinary computational or analytical capabilities.

Yet scientific quality cannot be measured by the speed or volume of output. AI can also produce plausible but incorrect explanations, identify spurious patterns, or generate references and claims that require careful verification. If institutions reward researchers primarily for the quantity of AI-assisted publications, they risk encouraging superficial work and weakening scientific standards.

Major prizes for AI-supported science should therefore emphasize reproducibility, methodological rigor, transparency, explanatory power, and demonstrated significance. Independent researchers should be able to examine the evidence and test the findings. Where appropriate, awards should recognize teams, including researchers and technical contributors whose work makes a discovery possible.

These principles could also improve AI-supported books and art. Scientific culture demonstrates the value of testing assumptions, revising claims, documenting methods, and distinguishing evidence from speculation. Writers could apply similar habits when using AI to research historical subjects or explain scientific ideas. Artists could document the provenance of source material and examine the social consequences of their methods.

The connection is especially important for nonfiction. A prestigious prize for AI-supported nonfiction could reward books that combine accessible writing with rigorous research, transparent sourcing, and careful treatment of uncertainty. In this way, the standards of scientific excellence could help make AI-supported literature more trustworthy without restricting its imaginative freedom.

5. Bringing Philosophy into the Evaluation of AI

Philosophy has a crucial role to play because the development of AI raises questions that cannot be resolved by technical performance alone. What counts as creativity? What makes a work original? Who deserves recognition when a human and an AI system collaborate? What responsibilities do creators have toward the people whose work contributed to the training or development of these systems? How should society distinguish genuine understanding from convincing imitation?

A major prize for AI-supported philosophy could reward work that addresses these questions with conceptual clarity, logical rigor, intellectual courage, and awareness of competing perspectives. It could recognize philosophical books, essays, and other works that improve public understanding of technology, ethics, consciousness, knowledge, and human agency.

Such prizes could also provide a framework for evaluating AI-supported creative work itself. Instead of treating authorship as a simple question of whether a human or a machine produced particular sentences or images, judges could examine the nature of the collaboration. Who formulated the central ideas? Who made the decisive choices? How were alternatives assessed? What intellectual or artistic contribution emerged from the process?

These questions would help establish more nuanced standards of attribution and responsibility. They would also discourage the assumption that the use of sophisticated technology automatically confers artistic or intellectual merit.

Philosophical prizes could therefore serve as a bridge between technical innovation and cultural judgment, helping society determine not only what AI can produce, but what kinds of production are worth encouraging.

6. How Prizes Could Change Incentives and Professional Culture

The influence of a major prize extends beyond its immediate winner. A prestigious award can affect what publishers acquire, what galleries exhibit, what universities study, what researchers investigate, and what aspiring creators regard as an attainable ideal.

If an international prize consistently recognized AI-supported works characterized by originality, rigor, and lasting value, it could change the incentives facing authors, artists, publishers, and technology developers. Instead of competing primarily to release more material in less time, creators might invest more effort in developing distinctive ideas, refining their methods, and improving the quality of their finished work.

Publishers could become more willing to support ambitious books that require extensive revision. Art institutions could exhibit AI-supported projects that challenge conventions rather than merely demonstrate technical novelty. Research organizations could invest in AI systems designed to assist with reasoning, verification, and experimentation rather than simply increasing output. Educational institutions could use award-winning works to teach students how to combine technological assistance with independent judgment.

Prizes could also stimulate constructive competition among AI developers. Systems might be evaluated on their ability to help people solve difficult creative problems, sustain complex narratives, explore unusual artistic directions, and improve factual reliability. Such competitions could shift attention away from raw generation speed and toward the quality of the human-AI collaboration.

Over time, the prestige attached to these awards could help establish a more demanding cultural expectation: the best use of AI is not the production of the greatest quantity of material, but the achievement of the greatest possible value from human imagination and machine assistance.

7. Designing Prizes That Reward Genuine Excellence

For these benefits to materialize, prize institutions would need carefully designed rules. The use of AI should neither guarantee recognition nor automatically disqualify a work. Instead, the central question should be whether the work achieves a high standard of excellence and whether its creative or intellectual process is consistent with the prize’s principles.

First, judging should be independent and diverse. Panels should include accomplished writers, artists, scientists, philosophers, critics, and specialists in AI, with expertise appropriate to each category. A single universal measure of quality would be inappropriate because a philosophical argument, a novel, a scientific discovery, and a painting achieve different kinds of value.

Second, the criteria should be published in advance. Literary prizes might emphasize originality, narrative achievement, and emotional depth. Art prizes might emphasize aesthetic innovation, conceptual coherence, and expressive power. Scientific prizes might emphasize validity, reproducibility, and significance. Philosophy prizes might emphasize clarity, argumentation, and conceptual contribution.

Third, transparency should be encouraged without making the process unnecessarily burdensome. Applicants could disclose significant AI contributions, identify relevant sources and collaborators, and explain how the technology was used. Independent checks could investigate plagiarism, fabricated evidence, undisclosed conflicts of interest, and other serious concerns.

Fourth, judges should assess the finished achievement rather than reward the novelty of a particular tool. An extraordinary novel created with modest technological assistance may be more valuable than a mediocre novel generated through a sophisticated system. Similarly, a scientifically important discovery should not be discounted simply because AI played a substantial role in producing it.

Fifth, prizes should recognize collaboration fairly. Depending on the award, recognition might go to individual creators, research teams, or collaborative projects. AI systems themselves need not be treated as legal or moral persons for institutions to acknowledge their role in a creative process. The human beings and organizations responsible for the work should remain accountable for its integrity.

Finally, prize institutions should guard against domination by wealthy publishers, large technology companies, fashionable artistic movements, or narrow cultural networks. International participation, accessible submission procedures, transparent conflicts-of-interest policies, and varied judging perspectives would help ensure that valuable work from less established creators also receives consideration.

8. Protecting Diversity, Human Agency, and Cultural Value

One danger of prestigious prizes is that they can narrow creativity if everyone begins imitating previous winners. If juries repeatedly reward a particular writing style, visual aesthetic, or philosophical position, creators may optimize their work for the expectations of judges rather than explore genuinely unfamiliar territory.

A successful prize system should therefore recognize diversity as an essential component of excellence. It should support different languages, cultural traditions, artistic approaches, philosophical schools, and forms of collaboration. It should be willing to reward unconventional works whose significance may not be immediately obvious.

The system should also protect human agency. AI can propose alternatives, identify weaknesses, and accelerate experimentation, but the creator should retain meaningful control over the goals, values, and final form of the work. Prizes should encourage creators to develop their judgment rather than surrender it to automated recommendations.

Questions of copyright, consent, and attribution also deserve serious attention. Where AI-supported works rely on identifiable source material, institutions should have clear policies for addressing plagiarism, unlawful appropriation, and misleading claims of originality. The credibility of an award depends not only on the excellence of the winning work but also on confidence that the process respects creators and audiences.

These safeguards are not obstacles to innovation. They help create the trust required for AI-supported art, literature, science, and philosophy to earn lasting cultural recognition.

9. Building an International Culture of Excellence

The greatest potential of these prizes lies in their ability to connect disciplines that are often evaluated separately. Literature teaches us to attend to language, character, and experience. Visual art encourages new ways of seeing. Science provides methods for testing claims and expanding knowledge. Philosophy clarifies concepts and examines assumptions.

AI can support work in all four fields, and their standards can strengthen one another. A writer can learn from scientific habits of verification; a scientist can benefit from the imaginative freedom of artistic experimentation; an artist can draw on philosophical reflection; and a philosopher can use literature to explore the complexity of human experience.

An international network of major prizes could encourage this exchange through public exhibitions, readings, lectures, research demonstrations, and educational programs. Award-winning works could be made accessible through libraries, museums, universities, and digital platforms, subject to appropriate rights and licensing arrangements. Public discussions could explain not only why a work won but also how its creators combined AI assistance with human judgment.

The prizes could also establish special categories for emerging creators, interdisciplinary work, socially beneficial innovation, or projects that make excellent AI-supported work accessible to underserved communities. Such categories would broaden the meaning of excellence without weakening the standards applied to the awards.

By making outstanding examples visible and understandable, these institutions could help the public distinguish serious creative achievement from technological spectacle.

Conclusion

Major prizes for AI-supported art, literature, science, and philosophy could become important instruments for improving the quality of cultural and intellectual life in an age of increasingly powerful AI. Their greatest contribution would not be to encourage the production of more books, pictures, discoveries, or arguments, but to help society recognize and cultivate work of exceptional merit.

By rewarding originality, craftsmanship, rigor, intellectual depth, and responsible collaboration, these prizes could encourage writers to revise more carefully, artists to experiment more boldly, scientists to verify their findings more thoroughly, and philosophers to investigate the ethical and conceptual consequences of technological change. Their influence could extend through publishing, education, research, museums, and the development of AI systems themselves.

Success would depend on maintaining independent judgment, transparent criteria, cultural diversity, and respect for human creativity. Prizes must not confuse popularity with quality, technological novelty with originality, or effortless production with genuine achievement.

Ultimately, AI should be understood as an opportunity to expand human capabilities rather than lower expectations of what people can accomplish. When powerful tools are combined with ambitious standards and meaningful recognition, they can help people create works that are not merely faster or more numerous, but more beautiful, more truthful, more imaginative, and more profound. Major prizes could help make that aspiration a central principle of the emerging culture of human-AI collaboration.

__ Adam + AI

______________________________

The Changing Role of the Author in the Age of Artificial Intelligence

Introduction

The advent of artificial intelligence (AI) is transforming many aspects of modern life, and the world of literature and writing is no exception. For centuries, the author has been regarded as the central creative force behind a literary work, responsible for developing ideas, shaping narratives, expressing emotions, and communicating experiences to readers. However, the emergence of AI-powered writing tools has begun to challenge traditional understandings of authorship, creativity, and originality. AI can now generate stories, poems, essays, and even complex narratives within seconds, raising important questions about the relationship between human imagination and machine intelligence. As a result, the role of the author is changing from that of an independent creator to a more multifaceted figure who may also act as a collaborator, editor, curator, and critical interpreter of AI-generated content.

From Sole Creator to Creative Collaborator

Traditionally, authors have been understood as the primary originators of their literary works. Their writing emerges from personal experiences, cultural backgrounds, emotional responses, intellectual reflections, and imaginative abilities. Although authors have always drawn inspiration from other writers, historical events, and social influences, the creative process has generally been associated with human intention and individual expression.

AI challenges this traditional model by introducing a new participant into the writing process. Using large datasets and sophisticated language models, AI systems can generate text, suggest plot developments, imitate different writing styles, and produce alternative versions of a passage. Authors can use these capabilities to overcome writer’s block, experiment with unfamiliar genres, or explore ideas that might otherwise remain undeveloped.

Consequently, the author may no longer be the sole producer of every sentence in a literary work. Instead, authorship can become a collaborative process in which human writers provide direction, judgment, and purpose while AI contributes suggestions and generated material. Nevertheless, this collaboration does not necessarily diminish the author’s importance. Rather, it changes the nature of creative responsibility. The author must decide which ideas are valuable, which passages deserve revision, and how the final work should communicate its intended meaning.

Creativity, Originality, and Human Experience

One of the most significant questions raised by AI is whether machines can be genuinely creative. AI systems can produce convincing literary texts by identifying patterns in the material on which they have been trained. They can combine familiar narrative structures, reproduce linguistic conventions, and generate unexpected associations. Their outputs may sometimes appear imaginative, moving, or original.

However, generating a compelling text is not necessarily equivalent to creating a work grounded in conscious experience. Human authors write from their experiences of love, grief, conflict, uncertainty, belonging, and loss. These experiences often shape not only what they write but also why they write it. Their literary choices emerge from particular historical circumstances, social relationships, moral commitments, and personal perspectives.

AI can simulate the language of emotion without necessarily experiencing the emotions it describes. This distinction does not mean that AI-generated writing cannot affect readers. Indeed, readers may find meaning in a text regardless of whether its sentences originated with a human or a machine. Nevertheless, human authors bring a distinctive relationship between lived experience and literary expression.

In the age of AI, originality may therefore become less dependent on the production of entirely new sentences and more closely connected to the perspectives, interpretations, and intentions that shape a work. The author’s individuality may be expressed through the questions they ask, the material they select, the assumptions they challenge, and the meanings they construct.

The Author as Editor, Curator, and Critical Thinker

As AI becomes more capable of generating text, the ability to evaluate and refine that text becomes increasingly important. Authors may spend less time producing an initial draft and more time determining whether the generated material is accurate, coherent, stylistically appropriate, and intellectually meaningful.

This development strengthens the author’s role as an editor and curator. AI can offer multiple possibilities, but it cannot automatically determine which possibility best serves a particular literary, artistic, or ethical purpose. Such decisions require judgment, contextual understanding, and an awareness of the intended audience.

For example, an author writing a historical novel might use AI to brainstorm characters or develop alternative plotlines. However, the author remains responsible for verifying historical details, avoiding misleading representations, and ensuring that the narrative possesses psychological depth. Similarly, a poet may use AI to experiment with rhythm or imagery while retaining control over the poem’s emotional direction and artistic significance.

The author thus becomes responsible not only for creating content but also for evaluating the processes through which that content is produced. Critical thinking, discernment, and the capacity to revise become essential skills. In a world where text can be generated rapidly and in enormous quantities, the ability to recognize what is meaningful may become more valuable than the ability to produce words alone.

Ethical and Legal Challenges

The increasing use of AI in writing also raises important ethical and legal questions. One major concern involves the data used to train AI systems. These systems may learn from large collections of existing texts, including works produced by authors whose permission or compensation has been disputed. This situation has prompted debates about copyright, intellectual property, and the rights of writers whose work contributes to the development of AI technologies.

Another concern is transparency. If an author uses AI to generate substantial portions of a novel, article, or essay, should readers be informed? The answer may depend on the context. In some forms of creative writing, AI assistance may function as a relatively minor editorial aid. In others, it may play a central role in producing the final work. Clear disclosure can help readers, publishers, and institutions understand the relationship between human and machine contributions.

Accountability presents an additional challenge. AI systems can produce inaccurate information, reproduce stereotypes, or generate harmful representations of individuals and communities. When an author incorporates such material into a published work, responsibility cannot simply be transferred to the technology. The human writer, editor, or publisher must still consider the consequences of publication.

These challenges suggest that the changing role of the author involves not only new creative opportunities but also greater responsibility for transparency, verification, fairness, and the ethical use of technology.

Democratization of Writing and the Risk of Homogenization

AI technology has the potential to make writing more accessible. People who struggle with grammar, language barriers, disabilities, or limited formal education can use AI tools to communicate their ideas more effectively. Aspiring writers may receive feedback, experiment with unfamiliar styles, and develop their skills without requiring extensive resources. AI can also assist authors working in languages or genres for which traditional publishing support is limited.

In this sense, AI may broaden participation in literary and intellectual culture. It can help more people move from having ideas to expressing them in written form.

However, increased access also creates challenges. When large numbers of writers rely on similar AI systems, their writing may begin to share predictable structures, familiar expressions, and conventional patterns. The resulting abundance of content could make distinctive voices more difficult to identify. There is also a risk that writers may become overly dependent on automated suggestions, gradually losing confidence in their own creative instincts.

The challenge is therefore to use AI as a means of expanding human creativity rather than replacing it with standardized production. Authors must remain willing to experiment, question conventional assumptions, and preserve the peculiarities of their individual voices. The value of literature lies not simply in producing grammatically correct or commercially successful texts, but also in presenting readers with unfamiliar perspectives and challenging experiences.

The Future of Authorship

The future of authorship will likely involve a range of relationships between humans and AI. Some authors may choose to use AI extensively, integrating generated text into collaborative creative processes. Others may deliberately avoid it, emphasizing the value of human-made writing. Many will adopt a position between these extremes, using AI for research assistance, brainstorming, translation, or editing while maintaining direct control over their central ideas and final texts.

This diversity may encourage society to reconsider what it means to be an author. Instead of defining authorship exclusively through the physical act of writing words, it may become increasingly important to consider intention, intellectual contribution, creative decision-making, and responsibility for the finished work.

Education will also play a significant role in shaping this future. Students and emerging writers will need to learn how to use AI critically without surrendering their independent judgment. They must understand not only how to generate content but also how to question its reliability, identify its limitations, and develop ideas that reflect their own understanding of the world.

Ultimately, AI is unlikely to eliminate the need for authors. Rather, it will alter the skills and expectations associated with the profession. As automated text production becomes more common, readers may place greater emphasis on distinctive perspectives, credible knowledge, emotional complexity, and the human intentions that give literary works their significance.

Conclusion

The advent of artificial intelligence marks a significant turning point in the history of authorship. By making it possible to generate, revise, and transform written material at unprecedented speed, AI challenges the traditional image of the author as the sole creator of a literary work. At the same time, it opens new possibilities for collaboration, experimentation, accessibility, and creative development.

The author’s role is consequently evolving into something more complex. Authors increasingly act as collaborators, editors, curators, critical thinkers, and ethical decision-makers. Their value lies not only in their ability to produce language but also in their capacity to interpret experience, establish meaning, exercise judgment, and take responsibility for what they publish.

The central question is therefore not simply whether AI can write, but what human authors contribute to writing in a world where machines can generate text. The answer lies in the continuing importance of human intention, critical awareness, individual perspective, and meaningful expression. If authors use AI thoughtfully rather than uncritically, the technology may become a powerful instrument of creativity. The future of authorship will depend less on a contest between humans and machines than on how effectively technology can be integrated into a creative process that preserves the depth, diversity, and intellectual independence of human expression.

Adam + AI

___________________________\

Has AI Signalled the End of Painting?

Introduction

Has artificial intelligence signalled the end of painting as one of the major art forms? The question is provocative, but it is not entirely new. The end of painting has been forewarned many times during the past century. Photography was once expected to make painted representation unnecessary. The rise of film, conceptual art, installation, performance, digital media, and mechanical reproduction each seemed to challenge painting’s central position in artistic culture. Yet painting survived these predictions, repeatedly redefining its purpose.

AI now presents a different kind of challenge. Unlike photography or film, it does not merely offer another medium for representing the world. It can generate images in response to written instructions, imitate historical styles, combine visual references, and produce polished compositions within seconds. This capacity raises difficult questions about creativity, originality, artistic labour, and the value of the painted object. Nevertheless, AI may not signal the end of painting. Instead, it may force painting to clarify what it offers that automated image production cannot easily replace.

The Long History of Painting’s Supposed End

Painting has often been declared obsolete when new technologies have transformed visual culture. The invention of photography in the nineteenth century appeared to threaten painting’s traditional role as a means of recording appearances. If a camera could reproduce a face, landscape, or event with greater speed and apparent accuracy, why would artists continue to paint?

Painting responded by moving away from strict representation. Impressionism, Expressionism, Cubism, abstraction, and other modernist movements demonstrated that painting could explore perception, emotion, structure, materiality, and ideas rather than simply reproduce visible reality. Photography did not destroy painting; it helped expand the range of what painting could be.

Similar predictions followed the development of cinema, television, digital imaging, and conceptual art. Each new form challenged painting’s cultural authority, but none eliminated it. Painting remained valuable because it was not only a method of producing images. It was also a physical, historical, and intellectual practice involving surfaces, gestures, materials, time, and the presence of an artist.

AI continues this history of disruption, but it intensifies the challenge. It can produce images that appear finished, expressive, and technically accomplished without requiring the prolonged physical process traditionally associated with painting. The question is therefore not simply whether AI can make pictures, but whether it can replace the cultural and human functions that painting has developed over centuries.

AI and the Automation of Image-Making

AI image generators have changed expectations about how quickly and easily visual content can be produced. A user can describe a scene, request a particular style, and receive numerous variations almost immediately. The system can imitate the appearance of oil paint, watercolour, fresco, or other artistic techniques without physically applying pigment to a surface.

This development challenges the idea that technical skill alone guarantees artistic value. If a machine can produce a convincing image in the style of a celebrated painter, then visual resemblance becomes less significant as a measure of achievement. The ability to render a face, construct a composition, or reproduce a familiar aesthetic may no longer distinguish a human painter from an automated system.

AI also makes image production more accessible. People without formal training can experiment with colour, composition, and visual storytelling. Designers, advertisers, filmmakers, and illustrators can use AI to generate concepts and explore possibilities before committing to a final work. In this sense, AI may function as a powerful creative tool rather than merely a competitor to painters.

However, the speed and abundance of AI-generated images create a new problem. When images can be produced almost without limit, individual images may become less valuable. Painting has traditionally involved scarcity, duration, and physical presence. A painted work is usually the result of sustained attention and exists as a particular object. AI-generated images, by contrast, can be endlessly revised, reproduced, and discarded. Their abundance may make them visually impressive but culturally disposable.

The Difference Between an Image and a Painting

The central distinction may lie between an image and a painting. An image is a visual result, while a painting is also a process, an object, and a record of physical decisions. The surface of a painting preserves evidence of the artist’s actions: the pressure of a brush, the thickness of paint, a correction, a hesitation, or a change of direction. These marks can communicate something about time and embodiment that a generated image does not necessarily possess.

This does not mean that every painting is automatically meaningful or that every AI image is empty. A painting can be formulaic, while an AI-generated image can provoke genuine thought. The distinction concerns the relationship between the work and the conditions of its creation.

Viewers often respond to paintings not only because of what they depict but also because of their material presence. The scale of the canvas, the texture of the surface, the smell of the medium, and the visible traces of labour all contribute to the experience. A painting occupies a physical space and changes as the viewer moves around it. Even when reproduced digitally, it retains a connection to an original object.

AI-generated images can also exist as physical objects if they are printed or incorporated into installations. Yet their origin remains different. They are produced through computational processes that draw on vast collections of existing visual material. Their significance may depend less on the uniqueness of the object than on the concept, selection, and context provided by the human creator.

Creativity, Intention, and Human Experience

AI can generate images that appear imaginative, but the question of intention remains important. A human painter may create a work in response to grief, political violence, memory, desire, landscape, or personal experience. The painting may embody a particular relationship to the world, shaped by the artist’s body, history, and circumstances.

AI does not experience the world in this way. It can reproduce visual signs associated with emotion, conflict, beauty, or suffering, but it does not possess a personal life from which those meanings arise. Its images are generated through patterns learned from existing data rather than through lived experience.

This distinction does not prevent AI-generated images from affecting viewers. People can find meaning in objects beyond the intentions of their makers, and viewers may respond emotionally to images regardless of their origin. Nevertheless, human artists contribute more than visual arrangement. They bring memory, vulnerability, responsibility, and a position within society.

The future of painting may therefore depend increasingly on intention and context. A painter’s work may be valued not because it displays a skill that machines cannot imitate, but because it expresses a distinctive way of seeing and inhabiting the world. In an environment saturated with generated images, the artist’s perspective may become more important than technical novelty.

The Painter as Author, Editor, and Curator

AI may also change what it means to be a painter. Artists can use image-generation systems to develop sketches, test compositions, explore colour schemes, or imagine alternative forms. They may combine generated material with painting, collage, photography, sculpture, or digital manipulation.

In such practices, the artist becomes a curator and editor of possibilities. The creative act may involve selecting, transforming, rejecting, and contextualising images rather than producing every visual element directly. This is not entirely unfamiliar. Artists have long used found objects, photographs, assistants, mechanical processes, and industrial materials. AI extends these practices while making the process faster and more complex.

However, the use of AI raises questions about authorship. If a painter generates an image from a prompt and then reproduces it on canvas, who is responsible for the result? Is the artist the author, the software developer, the creators of the training images, or some combination of these participants? The answer may depend on the degree of human intervention and the artistic context.

What remains essential is the artist’s capacity to make meaningful decisions. AI can produce countless options, but it cannot independently determine which image matters, what it should communicate, or how it should be situated within a broader body of work. The painter’s role may shift from direct image production toward the construction of relationships, meanings, and experiences.

Ethical and Legal Challenges

The rise of AI-generated art has created serious ethical and legal concerns. Many image-generation systems are trained on large collections of artworks, including images made by artists who may not have given permission for their work to be used. Their styles can be imitated without consent, compensation, or acknowledgement.

This issue is particularly significant for living artists whose distinctive visual languages can be reproduced through simple prompts. If an AI system can generate images “in the style of” a particular artist, the boundary between influence, imitation, and exploitation becomes difficult to define. The problem is not only legal but also cultural. Artists may feel that years of experimentation and labour have been absorbed into systems that allow others to reproduce their identities without participating in their artistic communities.

There are also concerns about transparency. Galleries, publishers, competitions, and collectors may need to know whether a work was painted by hand, generated digitally, or produced through a combination of methods. Clear disclosure can help audiences understand the work’s process and evaluate its claims.

Responsibility is another important issue. AI systems can reproduce stereotypes, distort cultural symbols, and generate images based on biased or exploitative data. Artists who use these systems cannot simply transfer responsibility to the technology. They must consider the sources of the images, the meanings they reproduce, and the consequences of presenting them to the public.

The Risk of Homogenisation

AI systems are trained on existing visual culture, which means that their outputs often reflect dominant patterns and familiar conventions. They can combine styles in surprising ways, but they may also produce images that are polished, predictable, and aesthetically generic.

This creates a risk of homogenisation. If artists, advertisers, publishers, and media organisations rely on the same systems, visual culture may become increasingly uniform. Images may be technically sophisticated while lacking the irregularities, contradictions, and personal obsessions that make an artist’s work distinctive.

Painting has historically provided a space for resistance to standardisation. Its slowness, physicality, and openness to accident allow artists to develop unusual forms and individual methods. A painter can work against efficiency, repeat an action obsessively, leave mistakes visible, or allow materials to behave unpredictably. These qualities may become more valuable as automated systems produce increasingly smooth and conventional images.

The challenge for painters will be to preserve experimentation and risk. AI may be useful when it expands an artist’s imagination, but it may become limiting when it encourages dependence on familiar visual formulas. The most compelling artists may be those who use AI critically, disrupt its expectations, and expose the tensions between human and machine production.

Why Painting May Become More Valuable

Paradoxically, AI could strengthen interest in painting. As generated images become common, the physical painting may acquire renewed significance as evidence of human presence and sustained attention. Viewers may seek works that cannot be reduced to a prompt or reproduced instantly.

The value of painting may increasingly lie in its resistance to speed. A painting takes time to make and time to encounter. Its surface records a sequence of decisions that cannot be fully separated from the artist’s body. In a culture of instant visual production, this slowness may feel meaningful rather than outdated.

Painting may also become more self-conscious about its material identity. Artists may emphasise texture, scale, pigment, damage, and the relationship between the painted object and the surrounding space. They may use AI as a contrast, creating works that deliberately foreground what automated image generation lacks: physical resistance, imperfection, and the presence of a particular maker.

The history of art suggests that painting survives not by remaining unchanged but by redefining its purpose. It may no longer dominate visual culture in the way it once did, but it can continue to offer experiences that other media cannot fully replace.

The Future of Painting

The future of painting will probably involve coexistence rather than simple victory or defeat. Some painters will reject AI, defending the value of direct manual practice. Others will incorporate AI into their processes, combining generated images with brushwork, printmaking, photography, sculpture, or digital projection. Many will move between these approaches depending on the project.

This diversity may make the category of painting more complicated. A work might begin as an AI-generated image, be printed onto canvas, altered by hand, and then presented alongside the digital source. Another artist might use AI only for research or visual planning while keeping the final image entirely manual. The boundaries between painting, digital art, and image-making will continue to shift.

Institutions will also need to adapt. Museums, galleries, competitions, and art schools may develop new ways of describing process, authorship, and collaboration. Collectors may ask not only who made a work but also how it was made, what data informed it, and what role the artist played in shaping the result.

The most important question will not be whether a work contains AI, but whether it has something significant to say. Technology can alter the means of production, but it cannot guarantee artistic depth. The future of painting will depend on the ability of artists to use new tools without surrendering their critical independence.

Conclusion

AI has not necessarily signalled the end of painting, but it has intensified the questions that have surrounded painting for more than a century. Photography, film, conceptual art, and digital media each challenged painting’s authority, yet painting survived by changing its aims and expanding its possibilities. AI now challenges not only painting’s representational function but also the assumptions that connect artistic value with technical skill and individual production.

The response should not be to deny the power of AI or to assume that every generated image is artistically empty. AI can provide new tools for experimentation, collaboration, and access. At the same time, it raises serious concerns about authorship, copyright, labour, bias, and the homogenisation of visual culture.

Painting may endure because it offers more than an image. It offers a physical object, a record of time, a material encounter, and a connection to the embodied experience of making. In a world filled with instantly generated pictures, these qualities may become increasingly important. The end of painting has been predicted many times, but each prediction has underestimated the medium’s ability to reinvent itself. AI may not close painting’s history. It may instead begin another chapter in its long transformation.

— Adam + AI

_____________________________

From the Ephemeral to the Algorithmic: A History of Temporary and Disposable Art and the Influence of Artificial Intelligence

Introduction

Art has traditionally been associated with permanence. Paintings are preserved in galleries, sculptures are installed in public spaces, and monuments are constructed to withstand the passage of time.

Museums, archives and private collections have helped establish the idea that the value of art is closely connected to its survival. Yet alongside this history exists another artistic tradition: one in which impermanence, disappearance, destruction and disposability are not limitations to be overcome but essential components of the work itself.

Temporary and disposable art challenges the assumption that an artwork must endure in order to matter. From ancient rituals and seasonal decorations to sand mandalas, performance art, land art, conceptual practices and contemporary digital creations, artists have repeatedly explored the possibility that art can be meaningful precisely because it does not last. In these practices, the experience of making, viewing or participating in an artwork may be more important than the preservation of a physical object.

The emergence of artificial intelligence (AI) introduces a new dimension to this history. AI-generated images, sounds, texts, videos and interactive environments can be produced in enormous quantities, modified almost instantly and discarded without the material costs associated with many traditional artistic processes.

At the same time, AI raises fundamental questions about authorship, originality, artistic labour, ownership and the relationship between an artwork and its record.

To understand the influence of AI on temporary and disposable art, it is therefore necessary to examine the longer history of artistic impermanence, the cultural movements that deliberately rejected permanence, and the changing relationship between artistic creation, material consumption and technological reproduction.

1. Ancient origins: art as ritual, process and transformation

The history of temporary art begins long before the development of the modern art market or the institution of the museum. Across many cultures, artistic expression has been connected to rituals, ceremonies, seasonal cycles and communal activities in which impermanence is fundamental to the work’s meaning.

Tibetan Buddhist sand mandalas provide a particularly striking example. Created from carefully arranged coloured sand, these intricate geometric compositions may require days or weeks of concentrated labour. Despite their extraordinary complexity, they are deliberately dismantled after completion. The destruction is not an accidental consequence of time or neglect; it forms part of the ritual itself. The mandala becomes an expression of impermanence, the transitory nature of material existence and the relationship between creation and dissolution.

Similarly, rangoli and other forms of temporary floor decoration in South Asia transform domestic and communal spaces through coloured powders, rice flour, flowers and other natural materials. Their significance often lies in the act of making, their association with festivals and hospitality, and their renewal over time. Japanese Zen gardens offer another perspective, where patterns raked into gravel can be altered and recreated, making maintenance and transformation integral to the aesthetic experience.

Seasonal festivals, ceremonial masks, floral arrangements, temporary structures and body painting likewise demonstrate that art need not be understood as an independent object intended for indefinite preservation. It can instead function as a social event, a spiritual practice or a temporary transformation of everyday life.

These traditions should not be reduced to early versions of contemporary Western art movements. They emerge from distinct cultural and religious contexts, each with its own understanding of artistic purpose. Nevertheless, they demonstrate that the ideal of permanent art has never been universal.

A crucial distinction also emerges here: temporary art is not necessarily disposable art. A mandala may be dismantled because its destruction carries symbolic meaning, while a disposable object may be discarded simply because it has exhausted its practical purpose. The two categories overlap, but they are not identical.

2. Modernity and the rejection of the permanent art object

The development of temporary and disposable art took a more explicitly critical direction during the twentieth century. Industrialisation, mass production, consumer culture and the expansion of the commercial art market encouraged artists to question why certain objects were elevated to the status of art while others were regarded as ordinary, expendable or worthless.

The early avant-garde movements, particularly Dada, challenged conventional artistic values by questioning the importance of technical skill, aesthetic beauty and the unique, handmade object. In 1917, Marcel Duchamp presented Fountain, a commercially manufactured urinal submitted as art. Although Fountain was not itself a temporary artwork in the usual sense, its conceptual challenge was fundamental: perhaps art could reside in a decision, a context or an idea rather than in the physical object alone.

This shift helped establish the conditions for later art practices in which an artwork might consist of an action, an instruction, a fleeting encounter or an intervention in everyday life. The question was no longer simply how to make an object that would survive, but whether the object was necessary in the first place.

By the 1950s and 1960s, artists increasingly experimented with events, participatory performances and inexpensive or unconventional materials. In the United States, Allan Kaprow’s 18 Happenings in 6 Parts (1959) helped establish the idea of the Happening: an event combining elements of theatre, movement, sound, visual art and ordinary activity. Rather than inviting audiences to contemplate a finished object, Happenings made the experience itself the artwork. Each event was contingent on its location, participants and moment in time, and could never be reproduced in precisely the same form.

The international Fluxus movement, which emerged in the early 1960s, pursued related ideas. Fluxus artists frequently used everyday objects, simple instructions, printed multiples, performances and experimental music to undermine distinctions between art and life. The relative cheapness and accessibility of these forms also challenged the idea that artistic value should depend on rarity, craftsmanship or market price.

Temporary and disposable art thus became more than an aesthetic choice. It offered a critique of the institutions that determine which objects deserve preservation and which can be discarded. If an artwork existed primarily as an action or an idea, it could potentially evade the conventional systems of ownership, display and exchange through which art acquired financial value.

Yet this opposition was never complete. Photographs, scores, instructions and surviving objects could subsequently enter collections, and once-radical artistic gestures could become valuable commodities. The history of ephemeral art is therefore also a history of the persistent tension between artistic freedom and institutional preservation.

3. Land art: the landscape as a temporary canvas

During the late 1960s and 1970s, Land Art, Earth Art and environmental art expanded the possibilities of impermanent artistic practice by moving creative activity beyond the gallery and into the natural world.

Artists began working directly with soil, stones, branches, ice, water, vegetation and other environmental materials. Some produced monumental earthworks that altered landscapes on a vast scale; others made modest interventions intended to disappear through natural processes. These approaches challenged the gallery’s authority and questioned the assumption that an artwork should be detached from its surroundings.

Richard Long’s A Line Made by Walking (1967) is an important example. By repeatedly walking back and forth across a field, Long created a line in the grass. The physical trace was temporary, but a photograph preserved evidence of the action. The work therefore existed in two related forms: an alteration of the landscape and a record through which that alteration could be encountered later.

Robert Smithson’s Spiral Jetty (1970), constructed from rock and earth in Utah’s Great Salt Lake, offers a different relationship between permanence and change. The large spiral remains a substantial physical intervention, yet its appearance changes with water levels, weather, mineral deposits and the surrounding environment. It is neither simply permanent nor disposable; its meaning develops through its exposure to time.

More recently, Andy Goldsworthy has become widely associated with sculptures made from leaves, ice, snow, stones and branches. Many of his works are designed to dissolve, melt, collapse or disperse. Their disappearance demonstrates that nature is not merely a setting for artistic production but an active participant in it.

In these practices, decay and transformation become creative forces. The artwork is not necessarily destroyed by time; rather, time completes it.

Land art also exposes an important contradiction. Some temporary works leave little material behind, while monumental earthworks may substantially alter ecosystems. An artwork’s impermanence does not automatically make it environmentally responsible. The choice of materials, the scale of intervention, the energy involved and the effects on the landscape remain important considerations.

4. Disposable art, consumerism and the culture of waste

The concept of disposable art becomes especially significant when considered alongside the growth of consumer capitalism. Modern economies produce enormous quantities of objects designed for short-term use, rapid replacement and eventual disposal. Packaging, advertising, fashion, plastic goods and electronic devices are often valued according to novelty rather than longevity.

Artists have used disposable materials both to criticise this culture and to participate in it. Cardboard, newspapers, plastic, found objects, broken electronics and discarded packaging can be transformed into artworks that expose the material consequences of consumption. Such works may challenge the distinction between waste and artistic material, asking whether an object’s value is inherent or determined by social context.

The distinction between temporary and disposable art is particularly important here. A temporary installation may be carefully planned, ethically produced and dismantled according to a conservation strategy. A disposable artwork, by contrast, may deliberately embrace cheapness, repetition or destruction. Neither term necessarily implies low artistic value.

There is also a paradox in the relationship between disposable art and the art market. An artwork made from waste can become expensive, while an edition of cheaply produced objects can acquire value through scarcity, authorship or provenance. Even destruction can increase an artwork’s cultural significance. Once an object has disappeared, its surviving documentation may become more desirable precisely because the original experience can no longer be repeated.

The history of disposable art therefore raises a question that becomes increasingly relevant in the age of AI: when the production of images and objects becomes easier and faster, does abundance reduce artistic value, or does it make selection, intention and context more important?

5. Digital art and the changing meaning of disappearance

The arrival of digital technology introduced a new paradox into the history of impermanence. Digital works appear immaterial because they consist of data rather than conventional physical substances. They can be copied, transmitted and reproduced at minimal marginal cost. Yet digital art is not necessarily permanent: files can be deleted, websites can disappear, software can become obsolete, and interactive works can cease to function when their supporting technologies are no longer available.

Net art, browser-based artworks, digital performances and interactive installations have developed this tension between reproducibility and disappearance. Some works are created to exist only for a particular period, while others change in response to viewers, network activity or external information. Their identities may depend less on a single image or object than on the systems that generate and display them.

This development also complicates the distinction between an artwork and its documentation. A photograph of a temporary sculpture may preserve its appearance, but it cannot fully reproduce the original encounter with the landscape. Similarly, a recording of a performance does not preserve the experience of being physically present. In digital art, however, documentation may itself become part of the artwork, while copies and remixes may acquire independent artistic significance.

The museum faces a particular challenge here. How should it preserve a work that depends on obsolete software, changing data or audience interaction? Should it preserve the original code, reconstruct the experience using modern technology, retain a video record or accept that the work cannot be reproduced without alteration? Research into the conservation of site-specific installations demonstrates that preserving an artwork can involve maintaining relationships, instructions and successive manifestations rather than simply protecting a single physical object.

These questions establish an important bridge to artificial intelligence. If a work is defined by a process rather than a fixed object, then a generative system may be understood as a continuing artistic event, with each output representing one temporary manifestation.

6. Artificial intelligence: a new age of generative and disposable art

The rapid development of generative artificial intelligence has created new possibilities for temporary and disposable art. Systems capable of generating images, texts, sounds, animations and videos can produce multiple variations from a single instruction. Artists can explore visual possibilities, transform existing materials, develop interactive environments and generate works that evolve in response to changing inputs.

Although computer-generated art predates contemporary AI by decades, the accessibility of modern generative systems marks a significant change in the scale and speed of production. The computer no longer merely follows a predetermined sequence of instructions; generative models can produce outputs whose detailed forms are not explicitly specified by the user.

This development has several implications for the history of ephemeral art.

First, AI makes artistic production potentially abundant. A traditional painting or sculpture may require considerable time, material and physical labour. An AI system can produce numerous variations within seconds or minutes. Many outputs can be examined, rejected and replaced almost immediately. The individual image may become less important than the act of generating, selecting and refining possibilities.

Second, AI shifts attention from the finished object to the generative process. An artist might design an installation in which images are continually generated from weather data, public observations, environmental measurements or audience contributions. Rather than presenting one definitive composition, the artist creates a framework within which the work repeatedly emerges and disappears. This approach has affinities with earlier Happenings, conceptual art and process-based practices, although the technologies and artistic intentions differ.

Third, AI challenges conventional ideas of artistic authorship. If an artist defines a concept, constructs a prompt, selects outputs, edits them and determines how they are displayed, where exactly does the creative act reside? Is it in the initial instruction, the system’s generative process, the selection of results or the arrangement that audiences encounter? These questions extend debates already raised by conceptual artists, but AI makes them more urgent by separating the visible production of an image from much of the labour traditionally associated with making it.

The most significant change may therefore be not that AI can create disposable art, but that it can make the production of possible artworks itself into an artistic medium.

7. AI and the aesthetics of endless variation

One of AI’s most interesting contributions to temporary art is its capacity to produce continuous variation. Instead of generating a single fixed image, an artist can construct a system that creates a changing sequence of forms, sounds or narratives.

Imagine an installation that generates a new landscape every few seconds using environmental data. Each image appears briefly, dissolves and is replaced by another. Visitors can observe the system but cannot recover every image they have seen. The artwork exists as a succession of events rather than as a stable visual object.

Alternatively, an artist might train or configure a generative system to produce imagined organisms that evolve according to audience interactions. Each visitor would encounter a different manifestation, and the work’s identity would reside in the relationship between its underlying rules and its unpredictable outputs.

Such practices recall the emphasis on chance, participation and variable experience found in earlier experimental art. Yet AI introduces a new dimension: the system can generate more variations than any individual viewer could reasonably experience or archive.

This creates a culture of potential rather than completion. The artwork is never fully exhausted because it can continue to generate new forms. At the same time, any particular output may be temporary, replaceable and ultimately insignificant to the system as a whole.

However, endless variation is not necessarily synonymous with artistic innovation. A system may generate thousands of visually different images that remain conceptually repetitive. The quantity of outputs does not determine the depth of the artistic idea. The artist’s decisions about constraints, context, selection and audience experience remain crucial.

In this respect, AI may strengthen rather than eliminate the role of artistic intention. When production becomes abundant, the ability to decide what deserves attention becomes increasingly important.

8. The paradox of digital permanence and AI-generated waste

AI-generated art appears to offer an almost ideal form of disposable creativity: it requires no canvas, pigment, stone or physical object for its initial production. An image can be generated, viewed and deleted without leaving a material artefact behind.

Yet this apparent immateriality is misleading. AI systems depend on data centres, computer hardware, electricity, cooling systems and networks. The environmental consequences of digital production do not disappear merely because the visible artwork is virtual. UNESCO’s 2025 report on artificial intelligence and culture highlights the importance of addressing energy consumption, computational efficiency and the environmental costs of AI-driven cultural production.

The distinction between the cost of an individual output and the cost of the system that makes it possible is essential. Generating one additional image may have a relatively small marginal impact, depending on the system and circumstances. However, generating vast quantities of images, videos and other material at scale can increase aggregate computational demand.

There is also a growing problem of informational excess. Digital environments already contain enormous quantities of images, videos, advertising and other material competing for human attention. AI expands the capacity to generate more of this content, potentially accelerating the production of work that is seen briefly and then forgotten.

This suggests a new form of disposability: not simply the disposal of physical objects, but the disposal of attention. An image may exist indefinitely on a server while remaining culturally ephemeral because it is encountered for a fraction of a second before being replaced by something else.

AI therefore produces an unusual contradiction. It can facilitate art that is materially lightweight and immediately reproducible, yet it can also contribute to energy consumption, hardware waste and an overwhelming abundance of digital content.

Artists working with AI have an opportunity to address this contradiction directly. They can design systems that generate fewer outputs, use smaller or more efficient models, rely on locally processed data where appropriate, and make computational limits part of the work’s conceptual framework.

In such cases, restraint becomes an artistic decision. The question is not how much a system can generate, but how much it needs to generate to communicate its idea.

9. Authorship, originality and the value of the unique

The relationship between AI and disposable art also raises fundamental legal and ethical questions. Generative systems are developed using large collections of data, and the use of copyrighted artistic works in training has become a significant area of public and legal debate. Artists and rights holders have raised concerns about permission, attribution, compensation and the possibility that AI-generated material may compete with the creators whose work helped shape these systems.

These issues are particularly important when artistic production is abundant. If an AI system can generate images resembling an artist’s visual language at very low cost, the economic value of producing similar work may change. The difficulty is not simply whether an output is original in a technical sense, but whether the creative process respects the rights and labour of others.

The legal status of AI-generated work also varies by jurisdiction. As one example, the US Copyright Office concluded in its January 2025 report that copyright protection for AI-assisted outputs depends on sufficient human-authored expressive contribution; a prompt alone does not establish copyrightability. This is a US legal position, not a universal rule for every country.

From an artistic perspective, these debates challenge the assumption that uniqueness must reside in a physical object. A work might be unique because it exists at a particular moment, because it was generated in response to a specific audience, or because its configuration cannot be repeated exactly. Conversely, a physically unique artwork may be conceptually conventional, while a reproducible digital work may be culturally significant.

The history of temporary art suggests that originality has never depended solely on the survival of an object. Performance, ritual, land art and conceptual practice all demonstrate that context, intention and experience can be central to artistic value.

AI extends this argument by making the relationship between an artistic system and its individual outputs increasingly visible. The work may be understood as a set of rules, a curated process, a relationship with an audience or an evolving collection of manifestations rather than one privileged image.

The challenge is to distinguish meaningful openness from indiscriminate production. Not every generated output deserves preservation, but neither should an artwork be dismissed merely because it is reproducible or short-lived.

10. Can AI create a new philosophy of impermanence?

The most profound influence of AI on temporary and disposable art may ultimately be philosophical rather than technological.

Earlier traditions of impermanent art often emphasised the limitations of human control. Flowers wither, ice melts, landscapes change, performances end, and physical materials return to the environment. Impermanence arises from the relationship between artistic intention and forces that exceed it.

AI introduces a different possibility: impermanence can be deliberately programmed. An artwork can be designed to expire, transform, erase itself or refuse to repeat the same state. Its disappearance may be determined by a timer, a data stream, audience behaviour or the cessation of the system that sustains it.

Consider three hypothetical forms of AI-based ephemeral art:

The disappearing image: A generative system produces a unique image, displays it briefly and then deletes it. Its disappearance makes the encounter itself the primary artistic experience.

The changing archive: An installation continually rewrites its own collection of images, retaining only a small number of recent outputs. Memory becomes selective, and the archive is never complete.

The responsive landscape:An AI system generates images or sounds from environmental information. As the environment changes, the work changes with it, creating a temporary artistic record of conditions that cannot be repeated exactly.

These examples suggest that AI can transform impermanence from a consequence of material fragility into a property of an artwork’s design.

Nevertheless, programmed disappearance raises a new question: does a work truly vanish if copies, screenshots, recordings or model-generated reconstructions survive elsewhere? A digital artwork may be designed to disappear from one screen while remaining reproducible indefinitely. Its disappearance may therefore be performative rather than absolute.

This is where AI-based ephemeral art encounters one of the central problems of contemporary culture: the tension between the desire to preserve everything and the possibility of allowing some experiences to pass without being recorded.

An artwork that cannot be fully captured or repeated may encourage a different relationship with attention. Instead of collecting and owning an image, the viewer must encounter it in the present. The work becomes an experience rather than a possession.

Such a practice would connect contemporary AI art with older traditions of ritual, performance and environmental art, while introducing new questions about digital memory, technological control and the limits of preservation.

Conclusion: From the permanent object to the temporary encounter

The history of temporary and disposable art reveals a continuous challenge to the assumption that artistic value depends on permanence. From ritual objects and seasonal decorations to Dada, Fluxus, performance art, Land Art, conceptual practice and digital installations, artists have repeatedly explored forms of creativity in which process, experience, transformation and disappearance matter as much as the finished object.

Artificial intelligence extends this history by making it possible to generate, modify and replace artistic outputs on an unprecedented scale. It offers artists new ways to create evolving environments, participatory experiences and works that exist as processes rather than fixed objects. It also intensifies longstanding debates about originality, authorship, commodification and the relationship between art and technology.

Yet AI does not automatically make art more meaningful, more democratic or more sustainable. The abundance of generated material may challenge artistic attention, the infrastructures that support digital production have environmental costs, and the use of existing works to train AI systems raises serious questions about creative rights and fair compensation.

The crucial distinction is between disposability as an unexamined consequence of excess and impermanence as a deliberate artistic choice. When art disappears because it is cheaply produced and quickly forgotten, its transience may reflect the broader culture of consumption. When it disappears because its creator has made absence, transformation or the limits of memory central to the work, impermanence can become a powerful aesthetic and philosophical statement.

AI gives artists new tools with which to explore this distinction. It enables the creation of artworks that continually emerge and dissolve, that respond to changing conditions, and that resist the idea of a single, definitive manifestation. But the technology itself cannot determine whether such works possess artistic significance. That significance depends on the questions they ask, the experiences they create and the relationships they establish with their audiences.

Ultimately, the future of temporary and disposable art may depend less on AI’s capacity to produce an unlimited quantity of images than on its ability to help artists reconsider what deserves to exist, what deserves to be remembered and what can be allowed to disappear.

In an age when almost anything can be generated, copied and stored, the decision not to preserve an artwork may become as meaningful as the decision to create it. The enduring achievement of ephemeral art is to remind us that permanence is not the only measure of value. Sometimes, an artwork matters precisely because it exists only once, for a limited time, and cannot be possessed in its entirety.

Selected references and further reading

1. Tate, Ephemeral Art — an introduction to temporary art, Fluxus and the challenge to traditional art objects. Tate: Art terms⁠.

2. Irish Museum of Modern Art, Performance Art — the development of performance, Happenings, documentation and the critique of the art object. IMMA: Performance Art⁠.

3. National Galleries of Scotland, Land Art — the history and environmental contexts of artistic interventions in the landscape. National Galleries of Scotland: Land Art⁠.

4. Scholte, Tatja (2022), The Perpetuation of Site-Specific Installation Artworks in Museums: Staging Contemporary Art. Amsterdam University Press. Open-access publication⁠.

5. OECD (2025), Intellectual Property Issues in Artificial Intelligence Trained on Scraped Data. OECD report⁠.

6. European Union Intellectual Property Office (2025), Development of Generative AI from a Copyright Perspective. EUIPO report⁠.

7. UNESCO (2025), Report of the Independent Expert Group on Artificial Intelligence and Culture. UNESCO report⁠.

— Adam + AI

____________________________

And finally, an update of my old essay (which is still popular on this blog):

Art Is Constantly Changing

Art is constantly changing, shaped by the social, economic, political, religious, psychological, and technological conditions of its time. As our understanding of the Human Condition evolves, so does our understanding of art. The ways in which artists interpret and represent human experience—whether through subjective or objective figurative art, abstraction, realism, or more conceptual approaches—reflect changing perceptions of ourselves and the world around us. The relationship between looking inward at the Self and looking outward at the world has been a recurring theme throughout art history, expressed through continually evolving subject matter, styles, and techniques.

The more I learn, the more I realise how much remains to be understood. This has become increasingly apparent as I wind down my #ArtSafari through some of Europe’s greatest painting and sculpture collections. My journey has been an attempt to understand the art-historical influences behind my own work, as well as those shaping Western contemporary art more generally. These influences are sometimes obvious, but often subtle and interconnected, spanning many epochs of individual and collective human development.

I have come to see art as both a reflection of the prevailing consciousness of its time and a form of resistance to established ways of seeing and understanding. At its most compelling, art may even help transform human consciousness itself. I am particularly fascinated by the relationships between art and economic systems, religion, politics, psychology, and the evolving balance between human-centred and God-centred conceptions of existence. These forces have influenced not only what artists depict, but also how they depict it, who commissions their work, who has access to it, and how it is ultimately interpreted.

The Classical, Baroque, and Modern periods alone reveal extraordinary shifts in artistic style and technique. Throughout these periods, artists have moved back and forth between abstraction and representation, objectivity and subjectivity, idealisation and realism, and the geometric and the organic. Such changes have rarely occurred in isolation. They have emerged through complex interactions between philosophical ideas, scientific discoveries, religious beliefs, economic conditions, political movements, and technological innovations.

Patrons and institutions have also played decisive roles in determining which artistic expressions flourish. The Church, royal courts, wealthy collectors, governments, private benefactors, and, more recently, commercial galleries and digital platforms have all influenced the production and reception of art. From Classical sculpture and Baroque religious painting to Impressionism, Socialist Realism, and contemporary conceptual practices, artistic developments have continually negotiated the relationship between individual expression and collective values.

Historically, religious institutions commissioned artworks that communicated Christian narratives to largely non-literate populations, reinforcing shared beliefs and making religious stories accessible through visual representation. Later, political ideologies and social movements increasingly used art to communicate ideas about class, national identity, freedom, equality, and the organisation of society. Advances in printing, photography, transportation, and digital communication have progressively expanded the geographical reach and speed of this exchange. Images and ideas that once circulated primarily within particular religious, cultural, or political communities can now travel around the world almost instantaneously.

The darker imagery found in much historical European art can also be understood in relation to the circumstances in which it emerged. Plague, warfare, famine, religious conflict, and widespread mortality profoundly influenced how people understood suffering, death, salvation, and the purpose of human existence. Although scientific and technological advances have reduced certain historical threats, suffering and insecurity have not disappeared; they have changed form and remain central to contemporary human experience. Art continues to respond to these conditions, reflecting both the fears of its time and the possibilities imagined for a different future.

Increasing mobility has further transformed artistic development. As artists have become more able to travel, study abroad, encounter unfamiliar traditions, and exchange ideas across national boundaries, artistic influences have circulated with increasing speed. What was once largely shaped by local traditions and established centres of patronage has become an increasingly interconnected international conversation. Artists borrow, reinterpret, challenge, and sometimes deliberately appropriate the work of their predecessors and contemporaries. The resulting visual language is more globally interconnected, although the inequalities governing access, visibility, and recognition remain significant.

Figurative art provides a particularly revealing example of these changing relationships. Across different periods, artists have moved between idealised representation, naturalism, abstraction, photorealism, and renewed forms of subjective expression. Photography challenged painting’s historical role as a primary means of recording visible reality, while the emergence of Realism as both an artistic movement and a broader cultural position challenged established conventions of idealisation. Developments in psychology, industrialisation, and modern philosophy further encouraged artists to explore perception, memory, emotion, and the unconscious.

The evolution of figurative painting should not, however, be understood as a simple linear progression from realism to abstraction and back again. Different approaches have coexisted, competed, and re-emerged in changing contexts. Malevich’s radical abstraction, Impressionism’s exploration of light and perception, Cubism’s fragmentation of conventional viewpoints, and photorealism’s meticulous rendering of visible detail represent different responses to the question of what art can reveal about reality. Contemporary figurative art continues this conversation, frequently combining recognisable imagery with distortion, ambiguity, psychological intensity, and subjective interpretation.

These developments also reflect changing understandings of the individual. In much Baroque religious painting, human figures exist within a spiritual order in which divine authority, sacrifice, penitence, and salvation are central. In much contemporary art, by contrast, the introspective Self occupies a more prominent position as a source of meaning in its own right. This distinction is not absolute: earlier artists explored individual psychology with remarkable sophistication, and contemporary artists continue to engage with religious and collective identities. Nevertheless, the changing balance between the individual, society, and the divine remains an important theme in Western art history.

Caravaggio has been particularly revealing in this regard during my #ArtSafari. Much of his religious work was created for churches and chapels rather than for the neutral, controlled environment of the modern museum. His extraordinary use of light and darkness, or chiaroscuro, gives his figures a physical and psychological immediacy that can be profoundly affecting. Although I admire many of his paintings encountered in museums, seeing his work in its original ecclesiastical setting has offered a different experience.

In the dimness of a church, the contrast between darkness and illumination can acquire an intensity that is difficult to reproduce in a brightly lit gallery. The surrounding architecture, the atmosphere of contemplation, and the painting’s relationship to religious ritual all contribute to its meaning. Caravaggio’s dramatic lighting brings human vulnerability, suffering, and physical presence into sharp focus, while the surrounding darkness can suggest mystery, uncertainty, and the possibility of divine revelation. I suspect that the original settings, together with the intentions of the artist and his patrons, were integral to the power of these works. Experiencing them in situ has reminded me that art cannot always be fully understood independently of the environment for which it was created.

The relationship between art, religion, and political power also raises questions about representation and status. During my travels, I have encountered religious paintings in which recognisable contemporary figures appear within biblical narratives, sometimes assuming the roles of saints, donors, or other participants in sacred events. Such representations could reinforce the prestige of patrons and connect their identities to a divinely sanctioned order. They also invite questions about how different religious traditions understood the relationship between sacred imagery, authority, and the representation of living individuals. The effects of Lutheranism and the wider Protestant Reformation on European art are particularly interesting in this respect, given the varied responses to religious images, ecclesiastical patronage, and the use of visual representation in worship.

For those interested in this subject, Olivia Facini’s article, The Impact of the Protestant Reformation on Renaissance Art, offers a useful point of departure for exploring how religious change affected artistic production and reception.

Technological developments have continued to transform both the creation and circulation of art. Photography, printmaking, and numbered editions made it possible to distribute images beyond the original artwork and the immediate circle of its owner. Digitalisation has expanded these possibilities dramatically. High-resolution reproductions, online collections, social media, and digital archives allow paintings and sculptures to reach audiences who may never encounter the originals. At the same time, the widespread reproduction of artworks has changed how images are consumed, valued, and understood within the art market.

This raises an important distinction between experiencing an original artwork and viewing its reproduction. A digital image can provide extraordinary access to details that might otherwise be difficult to see, but it cannot fully reproduce the scale, material presence, surface, spatial relationships, or atmosphere of the original. Nor does it necessarily convey the historical and cultural context in which the work was created. The ease with which images can now be copied and circulated has democratised access in many respects, while also creating new challenges around authenticity, ownership, attention, and the commercial value of art.

Artificial intelligence introduces another significant development into this evolving relationship between art and technology. AI systems can generate images, imitate visual styles, transform existing material, and produce numerous variations in a fraction of the time traditionally required to create an artwork. For artists, these capabilities offer new opportunities for experimentation with composition, colour, form, and subject matter. They also raise questions about authorship, originality, artistic labour, and the use of existing artists’ work in the development of generative systems.

I find these developments particularly relevant to the broader question of how art reflects changing human consciousness. AI can be understood as a new instrument through which artists explore the relationship between human intention and technological possibility. Yet the significance of AI-generated art does not lie simply in its ability to produce images rapidly. More important are the ideas behind the work, the decisions involved in selecting and transforming its outputs, and the meanings that emerge through its encounter with an audience.

AI also challenges established distinctions between the unique and the reproducible, the permanent and the temporary, and the finished artwork and the process that produces it. An artwork might consist of a single image, a series of changing images, or a generative system that continually produces new forms. Such possibilities connect with earlier developments in conceptual, performance, and digital art, while introducing new questions about the role of the artist in an environment where visual material can be generated almost without limit.

The resulting abundance of images may make artistic judgement and intention more important, rather than less. When almost anything can be generated, the challenge becomes deciding what is worth making, what deserves our attention, and what contributes something meaningful to our understanding of ourselves and the world. Technological innovation may expand the possibilities of artistic expression, but it does not eliminate the need for critical thought, cultural understanding, or individual vision.

My #ArtSafari has left me with many questions about how art is developing in response to contemporary challenges and our changing understanding of consciousness. Some concern the historical relationship between religious belief and artistic representation; others concern the changing balance between realism and abstraction, the influence of scientific discoveries, and the ways in which economic, political, and psychological developments shape artistic expression. The perception of the world as flat, for example, once formed part of a different understanding of humanity’s place in the universe. Subsequent scientific discoveries transformed that understanding, just as developments in psychology, technology, and social thought continue to challenge our assumptions today.

Since the Industrial Revolution, successive technological transformations have altered not only how art is made and distributed, but also how we understand the Human Condition. Information technology has changed communication and access to knowledge; biotechnology has challenged established ideas about life and the body; and artificial intelligence is now prompting new questions about intelligence, creativity, consciousness, and what it means to be human. These developments provide artists with new subject matter and new tools, while also challenging them to reconsider the assumptions underlying their work.

Ultimately, my #ArtSafari has reinforced my belief that art history is not simply a succession of styles and movements, but an ongoing dialogue between human beings and their changing understanding of existence. Each period inherits the ideas, techniques, and unresolved questions of the past, reinterpreting them in response to new circumstances. The past does not disappear; it remains present in the ways artists work, even when its influence is not immediately apparent.

This journey has also influenced my own art, encouraging me to experiment with different styles, themes, and techniques, and to question assumptions I might previously have taken for granted. Encountering masterpieces in their original settings, studying the differences between artistic traditions, and reflecting on the historical circumstances surrounding their creation have all expanded my understanding of what art can do.

The more I see, the less inclined I am to regard any single style, technique, or interpretation as definitive. Instead, I increasingly understand art as a continuing process of discovery: an attempt to make visible what we know, what we feel, what we fear, and what we have yet to comprehend.

Perhaps this is why art is constantly changing. As our understanding of the world evolves, so does our capacity to question it, reinterpret it, and imagine alternatives. Art can reflect the consciousness of its time, resist its limitations, and occasionally help us perceive possibilities that have not yet fully entered our collective awareness. For me, the most exciting prospect is not to arrive at a final understanding of art, but to remain open to the questions that make further exploration—and further artistic development—possible.

— Adam Donaldson Powell (updated)

_____________________________

Our Brave New World — Performance Art in the Digital and AI Age: From the Live Body to the Algorithmic Stage

Introduction

Performance art has always explored the relationship between the human body, time, space, identity and the audience. Unlike traditional painting and sculpture, which often result in physical objects intended to endure, performance art frequently places emphasis on the act itself: an action, gesture, encounter or event that exists in a particular moment and may never be repeated in precisely the same way. Its significance lies not only in what is seen, but also in what is experienced, felt and remembered.

In the digital age, however, the boundaries of performance have expanded dramatically. YouTube, TikTok, Instagram Reels, livestreaming platforms, virtual environments and artificial intelligence have transformed how performances are created, presented, circulated and consumed. A performance no longer needs to take place in a theatre, gallery or public square. It can occur in a bedroom, on a city street, in a virtual environment or through a digitally generated human figure. Its audience may consist of a handful of people present in the same room or millions of viewers encountering the recording at different times.

This transformation raises important questions. What constitutes performance art when almost anyone with a smartphone can become a performer? How do social media platforms influence the content and form of artistic expression? Does the possibility of reaching a global audience democratise performance, or does it encourage artists to conform to algorithms and commercial expectations? And as AI increasingly participates in the production of images, voices, bodies and gestures, what happens to the traditional relationship between the performer and the audience?

The digital and AI age has not simply transferred performance art onto screens. It has created new forms of performance, new relationships between creators and audiences, and new tensions between spontaneity and calculation, authenticity and simulation, artistic intention and technological control.

1. From the gallery to the everyday performance

The expansion of performance art during the twentieth century challenged the traditional separation between art and everyday life. Artists associated with Dada, Fluxus, Happenings and conceptual art questioned whether an artwork needed to exist as a permanent object. An action, a gesture, a set of instructions or an encounter could itself constitute the work.

Performance artists such as Marina Abramović have explored the limits of physical endurance, attention, vulnerability and the relationship between performer and spectator. In The Artist Is Present (2010), Abramović sat silently across from individual visitors at New York’s Museum of Modern Art, inviting them to share an extended moment of eye contact. The work depended on physical presence, duration and the emotional intensity of an encounter between two people.

The digital age changes the circumstances of such encounters, but it does not eliminate the central questions. A face on a screen may create intimacy, while simultaneously reminding us that the viewer and performer occupy different physical spaces. A livestream may allow an audience to participate through comments, reactions and direct interaction, even when the participants are geographically dispersed.

Research published by Philip Hancock and Melissa Tyler in 2025 suggests that livestreaming can expand the possibilities of live performance by creating new forms of audience participation and shared experience, although access to technology and the additional labour required of performers remain significant factors.

The important question is therefore not whether digital performance is inferior to physical performance, but what kinds of experience each makes possible.

2. YouTube Shorts and TikTok: performance in the attention economy

This has helped blur the boundaries between performance art, dance, comedy, acting, music, social commentary, personal storytelling and everyday self-presentation. A person applying make-up, preparing food, reacting to a news event, performing a dance or silently staring into a camera may be engaging in forms of self-presentation that acquire artistic or cultural significance through their framing, repetition and audience reception.

However, not every social media performance is necessarily performance art. Entertainment, advertising, personal expression and artistic experimentation may overlap, but they are not interchangeable. What distinguishes performance art is often the intention to investigate or challenge assumptions about identity, the body, society, politics or the nature of art itself.

The short-form video format nevertheless offers a particularly interesting artistic opportunity. A few seconds can concentrate attention on a gesture, expression or action. Repetition, abrupt transitions, looping footage and the juxtaposition of sound and image can transform an apparently ordinary moment into something unsettling, humorous or emotionally charged.

A short video of a person repeating the same gesture until it becomes almost mechanical, for example, might explore conformity, labour, anxiety or the repetitive routines of contemporary life. A performer who remains motionless while comments accumulate around them might expose the audience’s desire for constant stimulation. A sequence of increasingly distorted facial expressions could investigate the instability of identity under the pressure to appear attractive, entertaining or socially acceptable.

The format’s brevity need not prevent conceptual depth. Indeed, the contrast between the speed of consumption and the complexity of the underlying idea can itself become the subject of the work.

The algorithm as an invisible stage manager

Social media platforms are not neutral exhibition spaces. Their recommendation systems influence which performances are seen, which are ignored and which are repeatedly circulated. Creators therefore perform not only for human audiences but also within technological systems that classify, recommend and rank content.

This creates a new relationship between artistic intention and visibility. Performers may adapt their gestures, editing, timing, subject matter and presentation to encourage viewers to stop scrolling, watch until the end, comment, share or return for another instalment.

The opening seconds can become disproportionately important. The performer must capture attention before the audience moves on to the next video. The result can be an aesthetic of immediacy, exaggeration, repetition and constant novelty.

Yet artists can also turn these conditions into material for critical investigation. They might deliberately produce a video that refuses to deliver an expected climax, repeat an apparently meaningless action, or expose the effort required to maintain an online persona. Such performances can reveal the pressure to make oneself continuously visible and commercially legible.

In a 2024 article, media scholar El Putnam examines digital performance works that repurpose everyday technologies to question algorithmic thinking, data extraction and the ways technology shapes human behaviour. The argument is particularly relevant to social media: the systems through which we express ourselves can also influence what we become accustomed to expressing.

The algorithm thus becomes both an enabling instrument and a potential constraint. It can introduce an artist to an unexpected audience, but it can also reward conformity and make artistic visibility dependent on commercial priorities.

3. The performed Self: identity, authenticity and spectacle

One of the most important developments in digital performance is the transformation of personal identity into something that is continuously presented, edited and circulated.

On social media, the Self can become a performance in the broadest sense. Individuals choose images, poses, clothes, backgrounds, expressions and narratives through which they present themselves to others. Filters and editing tools enable the face and body to be altered, while carefully selected fragments of daily life can be assembled into an apparently coherent identity.

This phenomenon is not entirely new. Portraiture, theatre, fashion, celebrity culture and photography have long involved the construction of public identities. What has changed is the frequency, accessibility and scale of this activity. Self-presentation can now become a continuous process, shaped by immediate feedback from audiences and by the anticipation of future reactions.

The distinction between authenticity and performance consequently becomes increasingly difficult to maintain. A seemingly spontaneous video may have been rehearsed repeatedly. An intimate confession may have been edited for maximum emotional effect. A display of vulnerability may be both sincere and strategically presented.

This does not necessarily mean that digital performances are dishonest. All forms of representation involve choices about what to reveal and what to conceal. The more important question is whether the viewer understands the relationship between the presented persona and the person behind it.

Performance artists can investigate this ambiguity in revealing ways. A work might juxtapose an unedited face with its filtered equivalent, expose the repeated takes required to create an apparently effortless video, or contrast a performer’s private speech with the polished persona presented online.

Such works can explore how the desire for recognition shapes behaviour, how external validation affects self-esteem, and how the boundary between individual identity and audience expectation becomes increasingly unstable.

The camera, in this context, functions as both a mirror and an audience. The performer sees themselves through the lens while anticipating how others will see them. The Self becomes simultaneously the subject, the creator and the object of observation.

4. AI performers, synthetic bodies and the question of presence

Artificial intelligence introduces a further transformation by allowing performance to be separated, to varying degrees, from the biological human body.

AI-generated characters can speak, sing, dance, tell stories and respond to viewers. Virtual influencers can maintain carefully constructed identities, while synthetic voices and digital avatars can reproduce aspects of human expression. Real performers can also use AI to transform their faces, voices, movements or surroundings.

These developments raise a fundamental question: must a performance be enacted by a living human being to possess artistic significance?

Historically, performance art has frequently emphasised the physical body as a site of vulnerability, resistance and lived experience. Pain, fatigue, ageing, breathing, physical presence and the possibility of failure can carry meanings that cannot simply be reproduced by an image of a body.

An AI-generated performer can imitate some of the visible signs of these experiences without necessarily undergoing them. A synthetic character may appear exhausted, frightened or grief-stricken, but its apparent emotional state is not equivalent to a human being experiencing exhaustion, fear or grief.

This distinction need not exclude synthetic performers from art. Rather, it changes the questions the work can ask.

An AI character might expose how readily audiences attribute personality, intention and emotion to a convincing image. A virtual performer might explore the social construction of gender, beauty, celebrity or authority. A work involving a digital double of a real person could investigate the gap between bodily identity and its reproducible representation.

AI can also enable live improvisation between a human performer and a generative system. The human might respond to images or sounds produced in real time, while the system’s outputs shape the performer’s next action. Neither the precise sequence nor the final result needs to be completely predetermined.

The resulting performance could become a dialogue between intention and unpredictability, between a body with lived experience and a technological system capable of generating complex responses.

Nevertheless, the presence of AI does not automatically make a performance innovative. A synthetic character that simply imitates familiar entertainment conventions may offer little beyond novelty. Its artistic significance depends on how the technology contributes to the work’s meaning.

5. The audience becomes a participant

Digital performance also transforms the traditional relationship between performer and spectator.

In a conventional theatre, the audience may be physically present but largely expected to remain silent. In a gallery, visitors may move freely around a performance, yet their participation is often limited by the artist’s instructions. On social media, by contrast, viewers can comment, remix, duet, respond, share and create their own versions of a performance.

The audience may therefore become a collaborator, critic, distributor or co-performer.

TikTok’s duet and stitch formats, for example, enable users to place their own responses alongside existing videos or incorporate excerpts of other people’s content into new creations. YouTube allows performances to generate extended conversations through comments, responses and follow-up videos. Livestreaming adds the possibility of real-time interaction, with audience messages influencing what happens next.

These practices can generate collective artworks whose development is distributed across many participants. A single performance may inspire hundreds of reinterpretations, each adding a new perspective or challenging the original creator’s intentions.

The collaborative musical project Ratatouille: The Musical, which emerged through TikTok during the pandemic, illustrates how a platform can become a site of networked cultural production rather than simply a channel for distributing finished work. Research published in 2025 examines this project in relation to algorithmic visibility, collective creativity and changing definitions of liveness.

However, participation does not necessarily mean that audiences possess equal power. The original creator may retain control over the work’s framing, while platforms determine which responses receive visibility. Commercial systems can benefit from the activity of participants even when the artistic labour is unpaid.

A critical understanding of digital performance must therefore consider not only who appears on screen, but also who contributes to the work, who controls its circulation and who benefits from the attention it generates.

6. Live performance versus recorded performance: what is lost and gained?

The difference between a live event and its digital representation has long been debated. The philosopher and cultural critic Walter Benjamin explored how mechanical reproduction changed the authority and cultural status of artworks. Performance introduces an additional difficulty because its significance often depends on the knowledge that something is happening here and now.

A live performance offers the possibility of uncertainty. A performer might make a mistake, react unexpectedly to an audience, or alter an action in response to circumstances. The audience shares the same temporal event, even if individual experiences differ.

A recording preserves a version of that event, but it also changes it. The camera determines what is visible; editing determines what is retained; and the viewer encounters the performance from a position chosen by someone else.

Yet digital mediation can also create new forms of intimacy. A close-up can reveal subtle facial expressions that might be difficult to see from the back of a theatre. A camera can enter spaces inaccessible to a conventional audience. Editing, multiple viewpoints and digital effects can create experiences that would be impossible in a single physical location.

The pandemic accelerated experimentation with livestreaming and online performance, forcing artists and audiences to reconsider assumptions about presence. Scholarship published in Theatre Research International argues that digital performances should not simply be dismissed as inferior versions of theatre, but understood through the intersecting histories of theatre, film and media.

The key distinction is between different kinds of presence rather than between presence and its complete absence. A person watching a livestream may feel emotionally connected to a performer, even though they cannot share the same physical space. Conversely, a recorded video may be viewed by millions without producing a meaningful sense of connection.

The medium does not determine the quality of the encounter on its own. Intention, context, interaction and audience expectations all matter.

7. AI and the future of the ephemeral performance

One of the most intriguing possibilities is the creation of performances that exist only temporarily and cannot be reproduced exactly.

An AI system could generate a sequence of movements, sounds, spoken words or visual environments in response to audience behaviour. Each performance would emerge from a particular combination of inputs, timing and interaction. Even if the underlying system remained the same, its manifestations could differ from one occasion to another.

Imagine a digital performance in which a human artist stands motionless while an AI-generated voice narrates fragments of an imagined biography. As audience members submit questions, the voice changes direction, producing a portrait of a person who never existed. The performance gradually becomes a reflection of the audience’s assumptions about identity, memory and truth.

Alternatively, an artist could create a series of short videos in which the same gesture is repeatedly transformed by AI. A familiar human movement might become increasingly exaggerated, distorted or mechanical, raising questions about the relationship between the body and technological representation.

A more explicitly social work might invite viewers to contribute descriptions of their fears, hopes or dreams.

An AI system would transform these contributions into a temporary audiovisual composition that disappears at the end of the session. The work would exist through collective participation rather than as a permanent object.

These possibilities connect AI performance with the long history of ephemeral art. They also raise difficult questions about preservation. Should such works be archived through recordings, saved as code, reconstructed from instructions, or allowed to disappear?

Preservation can be valuable for historical study, but it may also undermine the original concept if the work depends on uncertainty, transience or the impossibility of repetition.

A useful distinction is between preserving the performance itself and preserving the conditions that make future performances possible. In some cases, the artist may wish to retain the system, instructions and contextual information while allowing individual manifestations to vanish.

The result would be an artwork whose continuity lies in its capacity to generate experiences rather than in the survival of any single version.

8. Ethical questions: surveillance, manipulation and digital labour

The possibilities of digital and AI performance must be considered alongside the ethical and political conditions in which these technologies operate.

Social media platforms collect information about user behaviour and use various signals to personalise content and recommend videos. Performers work within environments in which their visibility can depend on systems they neither control nor fully understand. The pursuit of attention can encourage increasingly provocative content, while the need to maintain an audience may turn artistic practice into continuous promotional labour.

AI adds further concerns involving consent, likeness and ownership. A person’s face or voice may be reproduced or manipulated without permission. Performers may find their work incorporated into datasets or imitated by generative systems, raising questions about attribution, compensation and control over their own identities.

Deepfakes create particular risks because they can make fabricated performances appear authentic. The same technology that enables creative experimentation can also be used to deceive, harass or damage reputations.

Artists can respond to these issues by making the systems of surveillance and manipulation visible. A performance might expose how a platform categorises a user’s behaviour, dramatise the transformation of personal information into commercial data, or demonstrate how an AI-generated identity changes according to audience expectations.

Such works would not merely use technology as a tool. They would examine technology as a force shaping contemporary life.

The artist’s responsibility is therefore not limited to the content presented on screen. It may also extend to the data used, the people whose identities are represented, the labour involved in producing the work and the systems through which it reaches its audience.

Conclusion: from performing for an audience to performing within a system

Performance art in the digital and AI age represents a significant expansion of the relationship between the body, technology, identity and the audience. YouTube Shorts, TikTok and other platforms have made performance more accessible, more widely distributed and more closely integrated into everyday life. They have enabled new forms of collaboration and participation, while also placing artistic expression within commercial systems that compete for attention.

AI extends these developments by making it possible to generate synthetic performers, transform human bodies, create interactive environments and produce performances that change in response to audience participation. It challenges established distinctions between human and machine, live and recorded, original and reproducible, and individual authorship and collective production.

Yet the central questions of performance art remain recognisable. What does it mean to be human? How do we construct our identities? What happens when we are observed? How do power, technology and social expectations shape our behaviour? And what distinguishes an authentic encounter from a convincing simulation?

Perhaps the most important change is that performers today are no longer performing only for an audience. They are also performing through platforms, within algorithms, in response to metrics and sometimes in collaboration with AI systems. The technological environment becomes part of the stage, even when it remains invisible to the viewer.

This creates both opportunities and dangers. The artist can reach audiences beyond traditional institutions and experiment with forms that would previously have been impossible. But the same artist may also become dependent on systems that reward repetition, visibility and commercial conformity.

The challenge is to use these technologies without allowing them to determine the limits of artistic imagination. A performance does not become meaningful simply because it is viral, technologically sophisticated or generated by AI. Its significance depends on the questions it raises, the experiences it creates and its capacity to reveal something about the human condition.

In a culture increasingly dominated by screens, speed and endless streams of content, performance art may be most powerful when it interrupts the expected rhythm of consumption. A moment of silence, an unresolved gesture, an unfiltered face or an action that refuses to entertain can challenge the assumption that every second must compete for attention.

Ultimately, the future of performance art may lie not in choosing between the human body and the digital world, but in exploring the tensions between them. The most compelling works may be those that use technology to expose rather than conceal the complexities of human experience: our desire for connection, our fear of invisibility, our susceptibility to manipulation, and our continuing search for meaning.

Even when the stage becomes virtual, the central artistic question remains profoundly human: what can we reveal about ourselves through the act of performing, and what might we discover about ourselves by watching others perform?

— Adam + AI