Joel is a senior staff research scientist at Google DeepMind and visiting professor at King's College London. He obtained his PhD from MIT where he studied computational neuroscience and machine learning with Tomaso Poggio. Joel was one of the first researchers to join DeepMind, starting as an intern in 2010, and then joining full time after finishing his PhD in 2013. He is interested in reverse engineering human biological and cultural evolution to inform the development of artificial intelligence that is simultaneously human-like and human-compatible. In particular, Joel believes that theories of cooperation from fields like cultural evolution and institutional economics can be fruitfully applied to inform the development of ethical and effective artificial intelligence technology.

Publications


Selected (old) conference abstracts