The rapid advances in AI have made it possible to leverage AI techniques to address some of the most challenging problems faced by society. Indeed, there is a growing interest in this topic in the AI community in the past few years. However, AI researchers often find themselves without a clear path from addressing fundamental research problems to real-world deployment and positive real-world impact. The 2020 CMU AI and Social Good Symposium aims to address these challenges by bringing together AI researchers and social impact leaders to present their ideas and applications for maximizing the social good.
We hope that this gathering of research talent will inspire the creation of new research directions, approaches, and AI-based tools benefiting all stakeholders. We also hope that this symposium can encourage the next generation of AI researchers to contribute to this theme.
This 1.5 day symposium will feature invited talks, contributed talks, panel discussions, and poster sessions.
We have an array of exciting programs including 4 invited talks, 18 contributed talks, and 50 spotlight talks on various applications of AI for social good.
Thursday 4/23 — 12:00 pm - 1:00 pm
AI/ML/Data Science for Social Good: Examples, Challenges, and Opportunities
— Rayid Ghani
Thursday 4/23 — 4:00 pm - 5:00 pm
Towards Interpretable Forecasts for Time-to-Event Outcomes in Healthcare via Kernel Survival Analysis
— George Chen
Friday 4/24 — 10:00 am - 11:00 am
Forecasting Epidemics and Pandemics
— Roni Rosenfeld
Friday 4/24 — 12:00 pm - 1:00 pm
Smart Infrastructure for Future Urban Mobility
— Stephen Smith