Managing AI Risks: Reflections on NIST AI Risk Management Framework and Beyond [Video]

Abstract: 

The AI Risk Management Framework (AI RMF) from NIST is a centerpiece of current AI policy in the United States. In this Distinguished Lecturer Seminar, Jeanna Matthews provides a detailed overview of the framework and the process by which it was developed and discusses some implications of its voluntary/non-regulatory nature and the ways it is being used going forward. She shares some of her experiences as a Faculty Fellow at NIST working in the small team responsible for the framework and comments on directions for AI risk management policy more broadly.

Bio: 

Jeanna Matthews is a professor of computer science at Clarkson University. She is a founding Chair of the ACM Technology Policy Subcommittee on Artificial Intelligence and Algorithmic Accountability, a Vice-Chair of Institute of Electrical and Electronics Engineers (IEEE) - USA AI Policy Committee, and a member of the ACM Technology Policy Committee.  She worked as a faculty fellow at NIST on the AI Risk Management Framework. She is a member of the NSF CISE Advisory Council, a member of the ACM Council, a chair of the ACM Special Interest Group Governing Board, the chair of the ACM Special Interest Group on Operating Systems (SIGOPS), chair of the Viewpoints section of the CACM magazine, an ACM Distinguished Speaker, an affiliate at Data and Society and a Fulbright Scholar.