Professor for Information Systems, Northeastern University; Interested in collective intelligence, human-AI teaming & crowdsourcing
Joined January 2010
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10 Oct 2025
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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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.
Jun 10
🧠🤖 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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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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May 11
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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May 11
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May 7
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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May 7
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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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Apr 23
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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Apr 20
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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Apr 20
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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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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Apr 1
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 dl.acm.org/doi/10.1145/38050… @acmtochi
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Christoph Riedl retweeted
Agents of Chaos in @ScienceMagazine
science.org/content/article/…
Quoting researchers including David Bau @davidbau Yonatan Belinkov @boknilev Michael Cohen @AI_Safety Peter Steinberger @steipete and me
Feature by Jeffrey Brainard @JeffreyBrainard @NewsfromScience @ScienceInsider
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