AI for Collective Intelligence

Overview

• "Emergent Coordination in Multi-Agent Language Models." arXiv.
• "Quantifying Human-AI Synergy." (by Riedl & Weidmann, 2025). Working paper.
• "AI for Collective Intelligence." (by Riedl & De Cremer 2025). ACM Collective Intelligence, 4(2).
• "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:2208.11660, Github

AI to Enhance Collective Attention

• "Collective Attention in Human-AI Teams" (by Zvelebilova, Savage, Riedl, 2024). Preprint on 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). arXiv.
• "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity" (by Riedl & Bogert). arXiv.