In the last session of Congress, Senator Ron Wyden (D-OR), Senator Cory Booker (D-NJ), and Representative Yvette Clarke (D-NY-9) introduced S.3572, the Algorithmic Accountability Act of 2022, intended to increase transparency and bring new government oversight of software, algorithms, and other automated systems. The legislation was an update of the 2019 Algorithmic Accountability Act.

As part of a long-running collaboration with the Yale Information Society Project on AI Governance, the Georgetown Law Institute for Technology Law & Policy (the Tech Institute) and its Global TechNet Working Group hosted Senator Wyden on campus to discuss concerns about algorithmic bias and the future of algorithmic accountability legislation. Senator Wyden delivered remarks and then conversed with Chinmayi Arun, Executive Director, Yale Information Society Project, and Anupam Chander, Scott K. Ginsburg Professor of Law and Technology, Georgetown University Law Center.

An expert panel followed, featuring:

• Paul Ohm, Professor of Law; Chief Data Officer; Georgetown University Law Center
• Nikolas Guggenberger, Assistant Professor; The University of Houston Law Center
• Dennis Hirsch, Professor of Law; Director, Program on Data and Governance; Ohio State University
• Kyoko Yoshinaga, Non-Resident Senior Fellow of Georgetown Law’s Institute for Technology Law & Policy
• Mehtab Khan, Resident Fellow and the lead for the Yale/Wikimedia Initiative on Intermediaries and Information

This was the first in-person event of the long-running AI Governance Series collaboration between the Georgetown Law Institute for Technology Law & Policy Global TechNet Working Group and the Wikimedia Initiative of the Yale Information Society Project.