Seminar: Multiagent Artificial General Intelligence

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Joel Z Leibo, DeepMind

Multiagent Artificial General Intelligence
It is difficult to achieve collective action when groups of individuals have conflicting interests and complex coordination is required. Human intelligence employs a set of cognitive abilities and inductive biases that underlie our impressive---for a mammal---ability to cooperate with one another. I will describe a research program concerned with reverse engineering human cooperation in order to build its principles into societies of intelligent machines.

Joel Leibo is a senior staff research scientist at DeepMind. 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 cooperation is the quintessential human ability. So 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.

Attend at the Max Planck Institute for Human Development or join online.
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Meeting number: 2742 450 7829
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