Role allocation and interaction strategy in human–AI co-creativity

Determine how a co-creative artificial intelligence agent should contribute and interact during human–AI collaborative creative processes, including the appropriate allocation of leadership between the human participant and the AI when user preferences for control vary, to support effective and positive co-creative experiences.

Background

The paper discusses human–AI co-creativity, noting that creative processes are dynamic and require adaptability from AI collaborators. It emphasizes that successful co-creative systems depend not only on the algorithmic capabilities of AI but also on the design of interaction and role allocation between human and AI.

Within this context, the authors explicitly identify uncertainty around determining how an AI collaborator should contribute and interact during co-creative tasks, particularly as human preferences for control and leadership can differ across users and situations. This raises a specific open question about defining effective contribution and interaction strategies for co-creative AI.