How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
Joshua Ashkinaze, Julia Mendelsohn, Li Qiwei, Ceren Budak, Eric Gilbert

TL;DR
This study investigates how exposure to AI-generated ideas influences human creativity and idea diversity, revealing that AI increases collective diversity but not individual creativity, with effects depending on exposure level and individual traits.
Contribution
It provides empirical evidence on the impact of large language models on cultural idea evolution through a large-scale, dynamic experiment.
Findings
High AI exposure increases idea diversity
AI does not enhance individual creativity
Disclosure has no main effect on influence
Abstract
Exposure to large language model output is rapidly increasing. How will seeing AI-generated ideas affect human ideas? We conducted an experiment (800+ participants, 40+ countries) where participants viewed creative ideas that were from ChatGPT or prior experimental participants and then brainstormed their own idea. We varied the number of AI-generated examples (none, low, or high exposure) and if the examples were labeled as 'AI' (disclosure). Our dynamic experiment design -- ideas from prior participants in an experimental condition are used as stimuli for future participants in the same experimental condition -- speaks to the interdependent process of cultural creation: creative ideas are built upon prior ideas. Hence, we capture the compounding effects of having LLMs 'in the culture loop'. We find that high AI exposure (but not low AI exposure) did not affect the creativity of…
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Taxonomy
TopicsLanguage and cultural evolution · Computational and Text Analysis Methods
