Professor for Information Systems, Northeastern University; Interested in collective intelligence, human-AI teaming & crowdsourcing

Boston, MA
Joined January 2010
Evidence that multi-agent LLMs develop emergent coordination and specialized roles—especially with personas and "think about others" prompts. No free lunch tho: strong performance needs both alignment and complementarity arxiv.org/abs/2510.05174
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Christoph Riedl retweeted
📢 ✨ Symposium at #AOM2026: Augmenting Human Potential with Generative AI: Opportunities & Risks Excited to be co-organizing this with @mattgroh! Come join us to hear from the brilliant @alexolegimas @criedl @hamsabastani @ShiriM528 & Anita Woolley!
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Our article "Complex Contagion in Social Networks: Causal Evidence from a Country-Scale Field Experiment” published in Sociological Science won the James Coleman Best Paper Award sociologicalscience.com/arti… @davidlazer and Jaemin Lee
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Christoph Riedl retweeted
Please join us at NEMI 2026, the 3rd New England Mechanistic Interpretability Workshop! August 14th at Boston University. Register now: nemiconf.github.io/summer26/ A remarkable time for AI. Come share your insights and research on the mechanisms inside our models.
🧠🤖 The 2026 New England Mechanistic Interpretability (NEMI) Workshop will be Aug. 14 at Boston University! Help spread the word and join the New England mech interp community! Registration and submission info in thread:👇
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Christoph Riedl retweeted
AI is not just a tool, it can reshape how people think, communicate, & connect. New in #TOCHI: “Cognitive Spillover in Human-AI Teams” shows that AI use changes shared language & team cohesion. Read:dl.acm.org/doi/abs/10.1145/3… Authors: @criedl , Saiph Savage, Josie Zvelebilova
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Cognitive Spillover in Human-AI Teams ACM TOCHI
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Think AI only affects the person using it? Our experiments show AI reshapes shared language, collective attention, mental models, AND social cohesion among human teammates. AI reshapes the cognitive ecology of teamwork
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The complex contagion story, updated: ✅ Social reinforcement is real [1] ❌ You don't need hypergraphs to model it [1,2] ❌ You don't need simultaneous group interaction [1,2,3] ❌ It doesn't mean clustered networks win [3]
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Christoph Riedl retweeted
At #ICLR2026 Sci4DL (101B 10:00AM) I will be talking about @kevinlu4588's new work cracking open protein folding models to decode their internals. folding.baulab.info/
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CI'26 call for papers is out! Deadline June 8 ci.acm.org/2026/cfp.html
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Our lab is looking to fill a post-doc position to do research on collective intelligence in AI and human-AI systems. More details here christophriedl.net/jobs.html
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Evidence that multi-agent LLMs develop emergent coordination and specialized roles—especially when instructed to "think about others" (ie ToM). No free lunch tho: strong performance needs both alignment and complementarity #ICLR
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We find multi-agent systems have capacity for emergence - they are real "teams" that are more than the sum of their parts. And we can steer them with clever prompts. The ToM condition in particular leads to stable specialization and goal-directed complementarity across agents
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Christoph Riedl retweeted
2026 is a whirlwind year for AI. Underlying it all: the greatest scientific mystery of our age. How does a neural network think? I talked w @oliver_whang22 in NYTimes Magazine, on how AI interpretability is a tangle of structure waiting to be unraveled: nytimes.com/2026/04/15/magaz…
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Cognitive Spillover in Human-AI Teams ACM TOCHI
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save the date: CI'26 September 27-30 near DC ci.acm.org/2026/ @ci_acm
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