The 2020 CMU Symposium on
and Social Good
Time: April 23 - 24, 2020.
Location: 6115 Gates Hillman Center, Carnegie Mellon University.
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.
Call for Abstracts
1-paragraph abstract describing an AI and social good project. We welcome submissions on completed, ongoing, as well as early-stage projects. We especially encourage students and researchers in disciplines other than computer science to submit. A link to the full paper is welcomed but not required. Accepted abstracts will be presented as contributed talks or posters.
The event is open to the public. We request anyone who wish to attend without a submission also complete the form linked above.
February 15: abstract submission due
February 22: acceptance notification
April 23 - 24: 2020 CMU Symposium on AI and Social Good