2019 MIDAS Symposium Keynote: Rayid Ghani

Thu, 11/14/2019 - 8:30am

Rackham Building 4th floor

Register and learn more about the MIDAS Symposium, "Embracing the Challenge: Data Science for the Next Ten Years," here

Machine Learning for Social Good: Examples, Opportunities, and Challenges


Can AI, ML and Data Science help help prevent children from getting lead poisoning? Can it reduce infant and maternal mortality? Can it reduce police violence and misconduct? Can it help cities better target limited resources to improve lives of citizens and achieve equity? We’re all aware of the potential of ML and AI but turning this potential into tangible social impact takes cross-disciplinary training, new methods, and scalable data and computational infrastructure. I’ll discuss lessons learned from working on 50+ projects over the past few years with non-profits and governments on high-impact public policy and social challenges in criminal justice, public health, education, economic development, public safety, workforce training, and urban infrastructure. I’ll highlight opportunities as well as challenges around explainability and bias/fairness that need to tackled in order to have social and policy impact in a fair and equitable manner.

Speaker Biography

Rayid Ghani was the Chief Scientist of 2012 Obama Campaign. He is now a Distinguished Career Professor at Carnegie Mellon with a joint appointment to the Heinz College of Information Systems and Public Policy and the School of Computer Science.



This event begins at 8:45 am and is co-sponsored by the Center for Ethics, Society, and Computing.