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AI and Collective Intelligence

Overview
  • "Emergent Coordination in Multi-Agent Language Models." ICLR'26. Website, arXiv and GitHub.
  • "Quantifying Human-AI Synergy." (by Riedl & Weidmann, 2026). Website, paper.
  • "Agents of Chaos" report from our investigation of OpenClaw agents, arXiv and website.
  • “The AI Penalty: People Reduce Compensation for Workers Who Use AI” (with Jin Kim, Shane Schweitzer, and David De Cremer). arXiv.
  • "AI for Collective Intelligence." (by Riedl & De Cremer 2025). ACM Collective Intelligence, 4(2).
  • "Personalized AI Scaffolds Synergistic Multi-Turn Collaboration in Creative Work" (by Kelley, De Cremer, Riedl), arXiv.
  • "Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Independence in LLMs" (by Kelley & Riedl), working paper.
  • "The Potential and Challenges for AI for Collective Intelligence" (by Riedl et al. 2025). ACM Collective Intelligence, 4(1).
  • "How to Use AI to Build Your Company's Collective Intelligence" (by Riedl 2024). Harvard Business Review, October, preprint.
  • "Workforce Ecosystems and AI" (by Altman, Kiron, & Riedl, 2023). Brookings Institute.​
  • "Quantifying Collective Intelligence in Human Groups (by Riedl, Kim, Gupta, Malone, Woolley, 2021).  Proceedings of the National Academy of Sciences, 118 (21) e2005737118, article.​

AI to Enhance Collective Memory
  • "Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach," (by Westby & Riedl 2023) .  In Proceedings of the 37th AAAI Conference on Artificial Intelligence (2023). arXiv, Github.

AI to Enhance Collective Attention
  • "Cognitive Spillover in Human-AI Teams" (by Riedl, Savage, Zvelebilova, 2026). ACM TOCHI. arXiv.
  • "Welfare benefits of AI in a differentiated product market" (by Reimers, Riedl, & Waldfogel). NBER Working Paper.

AI to Enhance Collective Reasoning
  • "Language Models use Lookbacks to Track Beliefs" (with Nikhil Prakash, Natalie Shapira, Arnab Sen Sharma, Christoph Riedl, Yonatan Belinkov, Tamar Rott Shaham, David Bau, Atticus Geiger). ICLR'26. arXiv.
  • "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity" (by Riedl & Bogert). arXiv.



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