New research on best practices and policies to reduce consumer harms from algorithmic bias
On May 22, 2019, 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 can be watched on YouTube. (Please note that this link starts the video at the beginning of the panel discussion, which follows about 12 minutes of introductory remarks.)