Harnessing Abundance: A Generativity Perspective on Human-GenAI Collaboration
Research on human-GenAI collaboration yields conflicting findings: GenAI can enhance creativity yet reduce collective diversity, with uneven benefits across skill levels. Rather than treating these as contradictions, we argue they reflect a core feature of GenAI: abundance. GenAI makes ideas, drafts, and recombinations plentiful, potentially expanding the hypothesis space and surfacing unanticipated possibilities. However, abundance alone doesn't ensure better outcomes. We propose generative fit as a unifying mechanism explaining when abundance yields productive creativity and when it backfires. Drawing on Generativity Theory, generative fit captures how well a system's generative potenti...
| Authors | Yoram M Kalman, Yun Wan |
|---|---|
| Primary category | cs.HC |
| Published | 20 June 2026 |
| Last updated at source | 20 June 2026 |
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