Hearing:
Task Force on Artificial Intelligence: Equitable Algorithms: Examining Ways to Reduce AI Bias in Financial Services
Committee on Financial Services
Wednesday, February 12, 2020 (2:00 PM)
2128 RHOB
Washington, D.C.
Witnesses
Dr. Philip Thomas
Assistant Director and Co-Director of the Autonomous Learning Lab, College of Information and Computer Sciences, University of Massachusetts Amherst
Added
02/10/2020 at 12:21 PM
- Witness Testimony
[PDF]
Added
02/11/2020 at 02:01 PM
- Truth in Testimony
[PDF]
Added
02/11/2020 at 02:01 PM
Dr. Makada Henry-Nickie
Fellow, Race Prosperity and Inclusion Initiative Governance Studies Program, Brookings Institute
Added
02/10/2020 at 12:21 PM
Updated
02/12/2020 at 01:50 PM
- Witness Testimony
[PDF]
Added
02/12/2020 at 10:44 AM
Updated
02/12/2020 at 01:50 PM
- Truth in Testimony
[PDF]
Added
02/12/2020 at 01:50 PM
Dr. Michael Kearns
Professor and National Center Chair, Department of Computer and Information Science, The University of Pennsylvania
Added
02/10/2020 at 12:21 PM
- Witness Testimony
[PDF]
Added
02/11/2020 at 02:01 PM
- Truth in Testimony
[PDF]
Added
02/11/2020 at 02:01 PM
Ms. Bärí Williams
Attorney and Emerging Tech AI and Privacy Advisor
Added
02/10/2020 at 12:21 PM
- Witness Testimony
[PDF]
Added
02/11/2020 at 02:01 PM
- Truth in Testimony
[PDF]
Added
02/11/2020 at 02:01 PM
Mr. Rayid Ghani
Distinguished Career Professor, Machine Learning Department and Heinz College of Information Systems and Public Policy, Carnegie Mellon University
Added
02/10/2020 at 12:21 PM
Updated
02/12/2020 at 01:50 PM
- Witness Testimony
[PDF]
Added
02/12/2020 at 10:44 AM
Updated
02/12/2020 at 01:50 PM
- Truth in Testimony
[PDF]
Added
02/12/2020 at 10:44 AM
Support Documents
- Hearing Notice
[PDF]
- Hearing Memo
[PDF]
Added
02/07/2020 at 05:35 PM
Updated
02/10/2020 at 12:21 PM
Witness added
First Published:
February 5, 2020 at 02:27 PM
Last Updated:
February 12, 2020 at 01:50 PM