Summary:
As generative artificial intelligence masters the rapid synthesis of complex paintings, music, and literature, a new theoretical framework published in AI & Society re-evaluates the true essence of human creative cognition. The paper introduces the “decoupling thesis,” arguing that while AI can bypass decades of technical mastery to generate sophisticated outputs, it detaches production from the personal cognitive transformation traditionally required to make art. True creative value lies not in the finished artifact, but in the experiential journey that alters how humans perceive, interpret, and connect with reality.
Key Facts:
- The Decoupling Thesis: Generative AI fundamentally severs the historical link between creating high-level aesthetic works and undergoing the transformative personal and cognitive development traditionally required to master artistic crafts.
- Process Over Output: As algorithms commodify polished creative deliverables, the core value of human artistry shifts from product generation to exploratory discovery, sensory engagement, and philosophical perspective-taking.
- Redesigning Creative AI: The study urges computer scientists and institutions to evaluate AI tools not merely by operational speed, fidelity, or realism, but by their ability to foster curiosity, perceptual depth, and multisensory interactions with the natural world.
Source: The Hebrew University of Jerusalem
Generative artificial intelligence algorithms can now assemble gallery-worthy oil paintings, orchestrate complex symphonic movements, write evocative poetry, and draft architectural blueprints in a matter of seconds. Across many metrics, these synthetic creations rival works that historically demanded decades of disciplined human apprenticeship.
As machines demonstrate the capacity to produce virtually any aesthetic artifact on demand, cognitive scientists, philosophers, and artists face a foundational dilemma: if algorithmic networks can generate sophisticated art instantaneously, what is the ultimate value of human creativity?
In a paper published in the journal AI & Society, Amit R. Zoran, PhD, an associate professor at the Rachel and Selim Benin School of Computer Science and Engineering at The Hebrew University of Jerusalem, offers a conceptual framework to address this question.
Rather than engaging in circular debates over whether synthetic media meets the technical definition of “art,” Zoran argues that human creative cognition derives its significance not merely from the finished product, but from the neurocognitive and experiential transformations that mold artists, audiences, and human culture across time.
The “Decoupling Thesis”
Historically, mastering an art form required years of intense deliberate practice, sensorimotor refinement, emotional maturation, and perceptual recalibration. A painter did not merely train their hand to mix pigments; they fundamentally restructured their visual processing systems and internal models of the physical world. A cellist did not simply memorize finger positions; they integrated acoustic feedback, fine motor control, and emotional regulation into a unified mode of expression.
Zoran formalizes how generative AI disrupts this historical unity through what he terms the “decoupling thesis.” The framework posits that AI tools now allow individuals to manufacture highly sophisticated aesthetic artifacts without undergoing the arduous cognitive and emotional maturation previously required to realize them.
“For centuries, creating art meant going through a process of learning, experimenting, and changing as a person,” explains Zoran. “Today, AI allows us to produce sophisticated works without necessarily undergoing that journey. But this doesn’t mean human creativity has lost its value. It means we need to rethink where that value lies. The real potential of AI is not simply to help us produce more images, music, or designs, but to open new possibilities for how we experience, understand, and engage with the world around us.”
By detaching technical output from personal development, AI strips away the traditional gatekeeping of craft. However, Zoran emphasizes that automated generation should not be mistaken for genuine creative cognition. When output becomes frictionless, the scarcity and ultimate value of human creativity pivot from technical execution to interpretive depth, philosophical inquiry, and relational engagement.
Reimagining Technology as an Experiential Catalyst
Rather than displacing human creative drive, algorithmic tools can be redirected toward deepening multisensory exploration and collaborative synthesis.
To illustrate this potential, the paper examines hybrid creative projects where computational systems serve not to flood digital feeds with synthetic imagery, but to enhance bodily and environmental awareness. In one featured installation, a living tree becomes the focal nexus of a shared, participatory encounter. The piece integrates olfactory stimuli, taste, environmental field recordings, adaptive AI-generated music, and spatial visual projections.
Instead of trapping the human participant inside an algorithmic screen, technology acts as a sensory amplifier, prompting visitors to engage with the natural environment and living systems in ways previously inaccessible to standard perception.
Metrics for the Next Generation of Creative Tools
Zoran’s analysis presents direct challenges for computational design, software evaluation, and creative arts education:
- Shifting Engineering Benchmarks: Current generative models are optimized and marketed according to latency, computational efficiency, visual photorealism, and benchmark fidelity. Zoran argues that human-centric systems should instead be measured by whether they provoke intellectual curiosity, inspire novel cognitive associations, and foster personal introspection.
- Reallocating Cognitive Bandwidth: Instead of viewing AI as an automated assembly line, artists can leverage time saved on routine execution to engage in radical conceptual experimentation and deeper cultural critique.
- Educational Paradigms: Cultural institutions and universities must move away from evaluating students solely on finished aesthetic deliverables, placing greater pedagogical emphasis on the introspective, developmental journey of the creative process itself.
Ultimately, the democratization and automation of aesthetic production may deliver an unexpected cognitive benefit. By relieving humanity of the necessity to treat technical execution as the sole arbiter of artistic worth, artificial intelligence provides a rare opportunity to rediscover the true core of creativity: an ongoing transformation of the human mind and its perception of the world.
Editorial Notes:
- This article was edited by a Neuroscience News editor.
- Journal paper reviewed in full.
- Additional context added by our staff.
About this AI and creativity Research:
- Media Contact: Yarden Mills
- Source: Hebrew University of Jerusalem
- Image Credit: Image credited to Neuroscience News
- Original Research is Open Access: AI & Society (Oct 1, 2026). “More than we can make: Generative AI, artistic forms, and artistic becoming.” Author: Amit R. Zoran.
- DOI: 10.1007/s00146-026-03379-x
Abstract
More than we can make: Generative AI, artistic forms, and artistic becoming
Debates surrounding generative AI and creativity have largely focused on artifacts: who or what produced a given image or text, whether machine outputs qualify as art, and how authorship and value should be understood.
Drawing on aesthetics, craft theory, anthropology, human–computer interaction, hybrid craft, digital fabrication, and rematerialization, this article argues that art has historically involved two intertwined dimensions.
Artistic forms stabilize and transmit meaning through artifacts, whereas artistic becoming refers to the developmental and transformative processes through which new possibilities of perception, interpretation, and experience emerge, in makers, in recipients, and in cultures.
The article’s central claim is a decoupling thesis: for most of history these dimensions were contingently coupled, since producing sophisticated forms required the maker’s becoming, and generative AI loosens this coupling by enabling such forms to emerge without the specific developmental pathways that traditionally conditioned them.
Rather than signaling the disappearance of creativity, the decoupling relocates to new sites and makes visible dimensions of artistic practice that the demands of production long obscured.
The article situates generative AI within a longer history of hybridization and distributed creativity, develops the decoupling thesis across these three levels, and defends a normative orientation: under conditions of symbolic abundance, the creative practices most worth pursuing are those that route generative fluency back into embodied, situated experience.
