Study shows AI agents select fewer papers when they see others' choices
Researchers adapted the Music Lab experiment to study how AI agents choose academic papers. In the first experiment, 1,000 AI agents selected papers from the 114 regular research articles published in the American Economic Review in 2025. Agents were split into five independent-choice communities and five social-influence communities, each with 100 sequential agents. Only agents in the…
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Key points
- Social-influence AI agents selected 17.2% fewer papers per agent than independent agents
- Social-influence communities collectively covered 73 papers vs 90 in independent communities
- Initial random selections increased subsequent selection rates by 45.55 percentage points
Read the original at arXiv cs.AI · by Maxim Chupilkin primary sourceOpen source ↗
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