Patrick LaVictoire

Affiliated Researcher

Corrigibility in Artificial Intelligence Systems
Patrick LaVictoire has a background in pure mathematics (B.A. from the University of Chicago, Ph.D. from UC Berkeley, postdoc at the University of Wisconsin) and applied machine learning/data science (working for the app search startup Quixey). Patrick joined MIRI in March 2015. His research interests include the mathematics of idealized decision theory, logical counterfactuals, principled self-modification, goal stability, and corrigibility.

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