I’m a second year Artificial Intelligence PhD student working with Anca Dragan and Stuart Russell within BAIR and CHAI.
I’m broadly interested in ensuring that AI systems interfacing with humans will lead to beneficial individual and societal outcomes.
Most of my work so far has been in human-AI collaboration, improving the quality and robustness of agents trained to collaborate with humans. My current focus is on recommender systems, and estimating how they affect us users.
I’m very thankful to have grown up in Livorno, a lively city on the coast of Italy – it is to Livorno’s character that I owe much of my development and formative experiences.
Estimating and Penalizing Induced Preference Shifts in Recommender Systems. Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca Dragan. Recsys 2021 LBR Track, FAccTRec Workshop (long talk).
Optimal Behavior Prior: Improving Human-AI Collaboration Through Generalizable Human Models. Mesut Yang, Micah Carroll, Anca Dragan. In submission.
Evaluating the Robustness of Collaborative Agents. Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca Dragan, Rohin Shah. AAMAS 2021.
On the Utility of Learning about Humans for Human-AI Coordination. Micah Carroll, Rohin Shah, Mark Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, Anca Dragan. NeurIPS 2019.
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