8 - Assistance Games with Dylan Hadfield-Menell
Play • 2 hr 23 min

How should we think about the technical problem of building smarter-than-human AI that does what we want? When and how should AI systems defer to us? Should they have their own goals, and how should those goals be managed? In this episode, Dylan Hadfield-Menell talks about his work on assistance games that formalizes these questions. The first couple years of my PhD program included many long conversations with Dylan that helped shape how I view AI x-risk research, so it was great to have another one in the form of a recorded interview.

Link to the transcript

Link to the paper "Cooperative Inverse Reinforcement Learning"

Link to the paper "The Off-Switch Game"

Link to the paper "Inverse Reward Design"

Dylan's twitter account

Link to apply to the MIT EECS graduate program

Other work mentioned in the discussion:

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