New research on best practices and policies to reduce consumer harms from algorithmic bias

New research on best practices and policies to reduce consumer harms from algorithmic bias

On May 22, 2019, CSMR Director Paul Resnick was among the featured expert speakers at the Brookings Institution's Center for Technology Innovation, which hosted a discussion on algorithmic bias. This panel discussion related to the newly released Brookings paper on algorithmic bias detection and mitigation, co-authored by Nicol Turner Lee, Resnick, and Genie Barton. It offers government, technology, and industry leaders a set of public policy recommendations, self-regulatory best practices, and consumer-focused strategies that promote the fair and ethical deployment of artificial intelligence systems and machine learning algorithms.

The full video of the panel discussion is below. (Please note that there are about 12 minutes of introductory remarks before the start of the panel discussion.)