Under What Conditions Can a Machine Be Called Genuinely Creative?

Creativity requires more than novelty: The paper argues that genuine machine creativity cannot be defined simply by whether AI produces novel outputs or performs well on current benchmarks. Instead, true creativity involves "structural transformation of incomplete situations through recursive intervention dynamics"—meaning the system must actively work through problems and adapt its approach.

Ten specific requirements must be met: The framework identifies concrete conditions for genuine machine creativity, including that systems must represent their environment, identify conflicts, take interventions, observe consequences, update their knowledge, and crucially, operate within human-AI "co-living" arrangements that preserve human agency and oversight.

Human agency must be actively preserved: The paper emphasizes that genuine machine creativity is not compatible with fully autonomous systems operating without human involvement. Instead, responsible AI creativity requires intentional design to maintain human participation and control within "shared cognitive and creative environments."

Current AI systems may not meet the standard: By proposing these rigorous requirements, the paper suggests that many current AI systems generating impressive outputs—from text to scientific workflows—may not qualify as "genuinely creative" under this framework, raising important questions about how we evaluate and deploy these technologies.

Responsibility requires structural design, not just output monitoring: Rather than assessing AI creativity after-the-fact, the framework suggests that responsible AI development requires building in specific capabilities and human-centered structures from the beginning.