研究显示激励机制可缓解生成式AI创作的同质化效应
Incentives Shape How Humans Co-Create with Generative AI
AI 导读
arXiv 论文《Incentives Shape How Humans Co-Create with Generative AI》通过两项预注册随机对照试验发现，在两个互动式创意写作任务中，以相对同侪原创性为奖励的参与者比仅以质量为奖励的参与者产出更丰富的集体多样性。这些参与者仍继续使用AI，但逐字照搬AI生成文本的比例更低，并发布了涵盖两项研究人机共创细粒度轨迹的匿名数据集。
正文 · 原文
Abstract:Generative AI is quickly becoming an integral part of people's everyday workflows. Early evidence has shown that while generative AI can increase individual-level productivity, it does so at the cost of collective diversity, potentially narrowing the set of ideas and perspectives produced. Our research stands in contrast to this concern: through two pre-registered randomized control trials, we show that incentives can moderate AI's homogenizing force in two creative writing tasks where participants can use AI interactively. Participants rewarded for originality relative to peers produce collectively more diverse writing than those rewarded for quality alone. These participants continued to engage with AI, but ultimately incorporated less AI-generated text verbatim. Our results reveal that the effects of generative AI depend not only on the technology itself, but also the behavioral strategies and incentive structures surrounding its use. We release a rich, anonymized dataset capturing fine-grained trajectories of human-AI co-creation across both studies.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2604.03529 [cs.HC] |
| (or arXiv:2604.03529v2 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2604.03529 arXiv-issued DOI via DataCite |
Submission history
From: Nathanael Jo [view email]
[v1]
Sat, 4 Apr 2026 00:18:51 UTC (3,149 KB)
[v2]
Wed, 28 Oct 2026 23:58:55 UTC (8,359 KB)
来源：arXiv cs.AI · arxiv.org