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Chicago HAI
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Chicago HAI

@ChicagoHAI
The Chicago Human+AI Lab (CHAI) Lab. Research on human-centered AI, NLP, and CSS. PI @ChenhaoTan, tweets by CHAI members.
Chicago, IL
chicagohai.github.io
Joined October 2020
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721
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  • user avatar
    Chicago HAI
    @ChicagoHAI
    Jul 31
    Submit your ideas on IdeaHub (hypogenic.ai/ideahub)! The top 3 will be run by us using NeuriCo (github.com/ChicagoHAI/Neu…)! #AI4Science #AutoResearch
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    Article
    Week of 07/20/26-07/26/26: Can you trust what a model says about what it just did?
    Welcome to another weekly entry! Thank you to everyone who submitted and voted on ideas. Each idea was explored by one agent, Codex. All three runs were small pilots on small models, and Codex rated...
  • user avatar
    Chicago HAI
    @ChicagoHAI
    Jul 26
    Stop relying on complex latent maps to spot AI bias when asking the model directly works better✨
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    Chenxi Peng
    @ChenxiP9458
    Jul 26
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    Article
    Week of 07/13/26-07/19/26: Can you catch AI bias by mapping concepts, or do you have to just ask?
    Welcome to another weekly entry! Thank you to everyone who submitted and voted on ideas. Each idea was explored by one agent, Claude. This week we tested three things. First, can you predict what an...
  • user avatar
    Chicago HAI
    @ChicagoHAI
    Jul 22
    Built on OpenAIReview (openaireview.org) and Veritas (github.com/ChicagoHAI/ver…), SAI Review (sai.science) put ICML 2026 oral papers to the replication test!
    user avatar
    Chenhao Tan
    @ChenhaoTan
    Jul 22
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    Article
    How much science is verifiable? Results from replicating ICML 2026 oral papers
    [Please find the most updated version at https://sai.science/blog/how-much-science-is-verifiable] As AI agents become capable of increasingly complex, long-horizon tasks, we have an exciting opportunity to rethink the research...
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    Chicago HAI
    @ChicagoHAI
    Jul 18
    🦄 for casual reasoning!
    user avatar
    Qirun Dai
    @qirun_dai
    Jul 17
    Introducing UniCo🦄, a data generation framework for training Universal Causal Reasoners. We show causality-centered training develops a causal mindset towards faithful and consistent reasoning in the real world. With continued SFT on 66.6K UniCo data, Qwen3 and Olmo-3-Instruct
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    Chicago HAI
    @ChicagoHAI
    Jul 12
    congrats!🎉🎉🎉
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    Xiaoyan Bai
    @Elenal3ai
    Jul 12
    We’re honored that our paper, “The Story is Not the Science”, received the 🏆Best Poster Award at the ICML 2026 AI for Science workshop!🍻 Check out our paper here: arxiv.org/abs/2602.18458

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