@criedl

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

 Boston, MA
christophriedl.net
Joined January 2010
  • Tweets1.6K
  • Following441
  • Followers1.5K
67Media
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
5
2
15
2,724
Christoph Riedl retweeted
Aakriti Kumar@aakriti1kumarJul 6
📢 ✨ 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!
1
2
1
4
1,298
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
3
7
524
Christoph Riedl retweeted
David Bau@davidbauJun 11
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.
Gabriel Franco@gvsfrancoJun 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:👇
7
1
69
6,561
Christoph Riedl retweeted
ACM TOCHI@acmtochiJun 4
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

Cognitive Spillover in Human–AI Teams | ACM Transactions on Computer-Human Interaction

AI is not only a neutral tool in team settings; it influence the social and cognitive fabric of collaboration. Across two randomized experiments, we demonstrate that AI exposure produces causal...

dl.acm.org
4
10
500
Cognitive Spillover in Human-AI Teams ACM TOCHI
1
4
18
1,342
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
1
1
4
152
dl.acm.org/doi/10.1145/38050…
1
2
145
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]
1
1
5
284
[1] sociologicalscience.com/arti… [2] arxiv.org/abs/2602.16937 [3] pnas.org/doi/abs/10.1073/pna…
1
74
@davidlazer @tiagopeixoto
68
Christoph Riedl retweeted
David Bau@davidbauApr 26
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/
3
9
1
68
4,402
CI'26 call for papers is out! Deadline June 8 ci.acm.org/2026/cfp.html
4
11
1,103
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
1
4
1
13
1,886
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
2
20
86
6,541
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
1
7
354
arxiv.org/abs/2510.05174
3
269
Christoph Riedl retweeted
David Bau@davidbauApr 20
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…

We Don’t Really Know How A.I. Works. That’s a Problem.

For us to trust it on certain subjects, researchers in the growing field of interpretability might need to learn how to open the black box of its brain.

nytimes.com
1
5
53
3,285
Cognitive Spillover in Human-AI Teams ACM TOCHI
1
3
13
1,238
dl.acm.org/doi/10.1145/38050…
107
save the date: CI'26 September 27-30 near DC ci.acm.org/2026/ @ci_acm
1
5
249
Load more