Summer of Social Impact Series: Machine Learning and Public Policy
The University of Chicago Harris School of Public Policy invites you to an evening of conversation and networking for the final installment of the Summer of Social Impact series. To mark the launch of its new evening degree program at 1871, Harris will host a series of conversations this summer exploring the vital role data and analytics play in making a social impact on issues facing Chicago.
-
Monday August 28, 2017
-
5:30 PM - 7:30 PM (Central Standard Time)
-
1871 Auditorium
This event has ended.
MACHINE LEARNING & PUBLIC POLICY:
New tools from machine learning have been able to solve problems that once seemed intractable, such as recognizing faces in photos, translating text from one language into another, and navigating robots through novel terrains. Machine learning tools solve these problems not by writing a program that draws on how humans recognize faces, but instead structuring them as statistical prediction problems. Their success in solving these sorts of “engineering” problems has led to growing interest in applying them to help solve public policy challenges as well, particularly those where a key policy decision hinges on a prediction. This talk will address both the potential – and the pitfalls – of applying machine learning tools to public policy problems.
