Fairness by Design
How Can Big Data Advance Opportunity for All?
Today, it’s easier than ever before to make predictions and decisions by analyzing an unprecedented wealth of data. While corporate use of these “algorithmic decision-making tools” is widespread, government agencies at all levels are also using these techniques to guide decisions, increase efficiency, inform policy, and shape service delivery. Yet with these advances come risks: Without careful design, application, and oversight, these tools could be used to harm vulnerable populations and reinforce existing inequities.
On Monday, May 23, the Ford Foundation hosted a discussion on how to ensure these technologies are applied in ways that serve all Americans.
Keynote Address
DJ Patil US Chief Data Scientist
Introduction by Xavier de Souza Briggs Vice President, Ford Foundation
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Civil Rights and Data Science
Julie Brill Partner, Hogan Lovells; Former Commissioner, Federal Trade Commission
Harlan Yu Principal, Upturn
Moderator Alvaro Bedoya Executive Director, Center on Privacy & Technology and Adjunct Professor of Law, Georgetown University Law Center
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Big Data and Criminal Justice
Roy L. Austin Jr. Deputy Assistant to the President for Urban Affairs, Justice, and Opportunity, Domestic Policy Council, White House
Clarence Wardell III Digital Services Expert, US Digital Service, White House
Moderator Julia Angwin Senior Reporter, ProPublica
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Government Accountability
R. David Edelman Special Assistant to the President for Economic and Technology Policy, White House
Corrine Yu Managing Policy Director, The Leadership Conference on Civil and Human Rights
Moderator Xavier de Souza Briggs Vice President, Ford Foundation
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Achieving Fairness by Design
Cecilia Muñoz Director, Domestic Policy Council, White House
Megan Smith US Chief Technology Officer, White House
Darren Walker President, Ford Foundation
Moderator Susan Crawford John A. Reilly Clinical Professor, Harvard Law School
This video was created by an external party and may not be fully accessible.