Overview
- Amit R. Zoran of Hebrew University published a theoretical paper arguing a “decoupling thesis” in which generative AI lets people produce sophisticated art without the long sensorimotor and emotional training that once shaped artists.
- The paper frames the deeper value of creativity as the experiential and neurocognitive change in makers and audiences rather than the finished artifact.
- Zoran proposes shifting how we judge creative AI away from speed, fidelity, and photorealism toward measures that track whether tools provoke curiosity, deepen perception, and enable multisensory engagement.
- He illustrates alternatives with hybrid projects that use AI as a sensory amplifier—examples include installations combining smell, taste, field recordings, adaptive AI music, and live projections to reconnect generative fluency with embodied experience.
- The paper calls on art schools, museums, funders, and AI designers to redesign curricula, assessment, and benchmarks so saved production time is reinvested in developmental practice and richer, place-based creative encounters.