Times shown are Eastern Standard Time (UTC/GMT-5)

Rackham Building,
915 E Washington St, Ann Arbor, MI 48109

In-person attendance at this event requires free advance registration. See the event home page.

ABSTRACT

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 BIO

Rayid Ghani was Chief Scientist of 2012 Obama Campaign. He is presently Distinguished Career Professor in Machine Learning at Carnegie Mellon University.

This event is part of the 2019 Michigan Institute for Data Science Symposium.