Contestability in Government AI Systems
Listen now
Description
The use of AI to make decisions about individuals raises the issue of contestability. When automated systems are used by governments to decide whether to grant or deny benefits, or calculate medical needs, the affected person has a right to know why that decision was made, and challenge it. But what does meaningful contestability of AI systems look like in practice? To discuss this question, Lawfare's Fellow in Technology Policy and Law Eugenia Lostri was joined by Jim Dempsey, Senior Policy Advisor at the Stanford Cyber Policy Center, and Ece Kamar, Managing Director of the AI Frontiers Lab at Microsoft. In January, they convened a workshop with stakeholders across disciplines to issue recommendations that could help governments embrace AI while enabling the contestability required by law. They talked about the challenges that the use of AI creates for contestability, how their recommendations align with recently published OMB guidelines, and how different communities can contribute to the responsible use of AI in government.   Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.
More Episodes
On April 24, President Joe Biden signed the National Security Package into law. It's a bundle of legislation that provides aid to Ukraine, Israel, and Taiwan and requires TikTok's Chinese parent company to divest from the app or face a national ban, among various other...
Published 04/30/24
Published 04/30/24
On March 20, the House of Representatives passed the Protecting Americans’ Data From Foreign Adversaries Act. The House bill was passed by the Senate on April 23 as part of the larger foreign aid package, which President Biden signed into law on April 24. Lawfare Senior Editor Stephanie Pell sat...
Published 04/29/24