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Assessing AI's risks and impacts: A conversation with NIST's Reva Schwartz

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Manage episode 434208468 series 1930853
Content provided by Privacy Professionals, Jedidiah Bracy, and IAPP Editorial Director. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Privacy Professionals, Jedidiah Bracy, and IAPP Editorial Director 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.

In May 2024, the U.S. National Institute for Standards and Technology launched a new program called ARIA, which is short for Assessing Risks and Impacts of AI. The aim of the program is to advance sociotechnical testing and evaluation of artificial intelligence by developing methods to quantify how a given system works within real-world contexts. Potential outputs include scalable guidelines, tools, methodologies and metrics. Reva Schwartz is a research scientist and principal investigator for AI bias at NIST and the ARIA program lead. In recent years, she's also helped with NIST's AI Risk Management Framework.

IAPP Editorial Director Jedidiah Bracy recently caught up with Reva to discuss the program, what it entails, how it will work and who will be involved.

  continue reading

104 episodes

Artwork
iconShare
 
Manage episode 434208468 series 1930853
Content provided by Privacy Professionals, Jedidiah Bracy, and IAPP Editorial Director. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Privacy Professionals, Jedidiah Bracy, and IAPP Editorial Director 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.

In May 2024, the U.S. National Institute for Standards and Technology launched a new program called ARIA, which is short for Assessing Risks and Impacts of AI. The aim of the program is to advance sociotechnical testing and evaluation of artificial intelligence by developing methods to quantify how a given system works within real-world contexts. Potential outputs include scalable guidelines, tools, methodologies and metrics. Reva Schwartz is a research scientist and principal investigator for AI bias at NIST and the ARIA program lead. In recent years, she's also helped with NIST's AI Risk Management Framework.

IAPP Editorial Director Jedidiah Bracy recently caught up with Reva to discuss the program, what it entails, how it will work and who will be involved.

  continue reading

104 episodes

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