Sanjeev Kulkarni on Machine Learning and Democracy: Some Problems in Collective Decision-Making
- 4/4/2013 |
4:30 PM – 5:30 PM
Location: Visual Arts Center, Beam Classroom
Event Type: Lecture
The Classics Department presents:
Professor of Electrical Engineering
Director of the Keller Center for Technology and Society
"Machine Learning and Democracy: Some Problems in Collective Decision-Making"
A recent area of interest in machine learning involves drawing inferences from a large number of agents, each with some partial information. These problems in collective decision-making are closely related to a fundamental problem of democracy--that of inferring the collective will of the people. This talk will give a brief overview of machine learning and voting theory, followed by a discussion of some of our recent work in these areas.
Underwritten by: the Charles F. Adams Lectureship Fund, the Jasper Jacob Stahl lectureship fund. Co-sponsored by the Classics Department and Computer Science with additional support from the Government Department and Computational Studies.