AGI Seminar Series

KAIST AGI Seminar Series

 Zoom Link

Our Zoom plan has a limit of 300 participants. So to make sure you get a spot, it might be a good idea to join a bit early. See you there!

#2 Yoshua Bengio (Mila & University of Montreal)

Title: Why and how could we design aligned and provably safe AI?
Abstract. This presentation will start by providing context for avoiding catastrophic outcomes from future advanced AI systems, in particular on the need to address both the technical alignment challenge and the political challenge of coordination and democratic governance, at national and international levels. I will then outline a machine learning research program to obtain quantitative and conservative risk evaluations to address the alignment challenge. This is based on amortized inference of Bayesian posterior over causal theories of the data available to the AI, using generative AI to approximate that posterior and mathematical methods developed recently around generative flow networks (GFlowNets).
When: @2/6/2024, 9:30:00 AM
Where: Zoom

#1 Jim Fan (NVIDIA)

Title: Generalist Agents in Open-Ended Worlds
When: @11/17/2023, 1:30:00 PM
Where: Zoom