CHAI's mission is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.
“CHAI published a 2020 Progress Report which highlights some of the most important research that CHAI has produced since its inception. The report also documents our contributions beyond the AI community include contributions to public awareness of the risks from AI systems, contributions to world leaders’ awareness, and connecting with China. Lastly, the report lays out our future plans for the next few years.”
Longstanding CHAI participant Brian Christian has published The Alignment Problem: Machine Learning and Human Values, which chronicles the growth and progress of the field of technical AI safety, highlighting its recent milestones and open problems. The book showcases the work of many CHAI researchers, including Pieter Abbeel, Andrew Critch, Anca Dragan, Daniel Filan, Jaime Fernandez Fisac, Vael Gates, Alison Gopnik, Tom Griffiths, Dylan Hadfield-Menell, Dan Hendryks, Michael Littman, Smitha Milli, Stuart Russell, Satinder Singh, Jacob Steinhardt, and Alex Turner.
Six new PhD students advised by CHAI Principal Investigators. We are thrilled to have these new PhD students join us! The incoming students are Yuxi Liu, Micah Carroll, Cassidy Laidlaw, Alex Gunning, Alyssa Dayan, and Jessy Lin.
Rohin Shah, Jaime Fernández Fisac, and Dylan Hadfield-Menell have accepted jobs to begin after the completion of their PhD studies. Rohin will work at DeepMind as a Research Scientist. Jaime began working as an Assistant Professor of Electrical Engineering at Princeton University in the summer of 2020. Dylan will start working as an Assistant Professor at MIT starting in July 2021.
Andrew Critch, CHAI’s Research Scientist, and David Krueger wrote “AI Research Considerations for Human Existential Safety (ARCHES).”
Stuart Russell, professor of Computer Science at UC Berkeley and Director of the Center for Human-Compatible Intelligence (CHAI), has a new book out today: Human Compatible: Artificial Intelligence and the Control Problem.
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