Social Intelligence Virtual Gathering

Social Gathering at ICLR 2021 - Thursday May 6th, 2-4pm PDT

Social intelligence, the ability to understand other agents’ mental states, and interact with them, is at the core of human and machine intelligence. There has been an accelerating interest in machine social intelligence, or Social AI. However, as an emerging field, there has been little formal discussion on the challenges and advances in engineering machine social intelligence. This virtual gathering aims to provide an opportunity for people (both beginners and experts) to connect with one another, learn more about the advances in the field, and discuss scientific questions about the field.


Natasha Jaques

Google Research, UC Berkeley

Alexander Trott

Salesforce Research

Shari Liu

Massachusetts Institute of Technology

Dylan Hadfield-Menell

Massachusetts Institute of Technology


Pacific Time (PDT)
02:00- 02:05pm Introductory Remarks
02:05-02:25pm Natasha Jaques
Social Reinforcement Learning
02:25-02:45pm Alexander Trott
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
02:45-03:00pm Discussion Session
03:00-03:20pm Shari Liu
Social intelligence: Origins in human infancy, and implications for engineering
03:20-03:40pm Dylan Hadfield-Menell
The Incompleteness Problem for Social AI Systems
03:40-03:55pm Discussion Session
03:45-04:00pm Closing Remarks


Tianmin Shu

Massachusetts Institute of Technology

Xavier Puig

Massachusetts Institute of Technology

Reach out to for any questions.