))
Elham Tabassi: Framing and Taming AI Risks
Manage episode 413179436 series 3567138
Content provided by Kevin Werbach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Werbach or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Join Professor Kevin Werbach and Elham Tabassi, Associate Director for Emerging Technologies at NIST, as they explore the nuances of the NIST AI Risk Management Framework (RMF). Their discussion illuminates the science of measurement, the challenges of operationalizing legal and governance requirements for AI, and the pursuit of standards for trustworthy AI. During the conversation, they delve into the diverse challenges businesses face when adopting the AI RMF and how the Trustworthy AI Resource Center serves as a critical tool to keeping entities at the forefront of technology. They examine the intricate task of measuring AI systems, tackling biases of all kinds, and overcoming the socio-technical barriers that influence the development of standards. With NIST’s non-regulatory role fostering transformative policies, the discussion offers insights into the responsible growth of AI technologies, setting the stage for a future where AI safety and trustworthiness are tangible realities.
Elham Tabassi is Associate Director of Emerging Technologies at NIST, the National Institute of Standards and Technology in the US Commerce Department, and Chief Technologist of the US government’s new AI Safety Institute. She was named by Time Magazine as one of the 100 most influential people in AI, because of her role in the NIST AI Risk Management Framework, or RMF.
Elham Tabassi: Time 100 Most Influential People in AI
NIST AI Risk Management Framework v. 1.0
17 episodes
Share
