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July 27th, 2021

12:00 PM - 1:00 PM ET

The effects of algorithmic and data biases continue to make headlines and erode public trust in artificial intelligence (AI). Recruiting software unfairly discriminates against women and minorities, facial recognition tools used in law enforcement misidentify specific demographic groups, and algorithms for diagnosing and treating diseases perpetuate inequalities.

In an effort to develop a framework for mitigating the risk of bias in AI, the National Institute of Standards and Technology ("NIST") has issued a proposal for identifying and managing bias in AI and is accepting comments on the proposal until September 10, 2021.

Join us on Tuesday, July 27, 2021, for a lively virtual roundtable discussion as we explore the good and the bad in NISTs proposal and the legal implications for businesses using AI tools in their operations. This roundtable will serve as a forum to help companies that are evaluating whether to file comments and what to include in their comments, as well as an opportunity to connect with peers.

We hope to see you then!

AGENDA:

12:00-12:05 p.m. Overview of NISTs Proposal12:05-12:10 p.m. The Good12:10-12:15 p.m. The Bad12:15-1:00 p.m. Peer-to-Peer Discussion with AI Roundtable Participants

WHO SHOULD ATTEND:

General Counsel and other law department leaders, leaders in human resources including Chief Talent/Acquisition Officer, and other organizational leaders such as Chief Information Officers, Chief Compliance Officers and Chief Regulatory Officers (FDA).

To ensure a quality experience for all participants, space will be limited. Registration is complimentary and pre-registration is required.

This roundtable event is only available live and will not be available at a later date.

For questions about the roundtable, please contact Matt Loomis or Dionna Rinaldi.

Members of the media, please contact Piper Hall.

Read more here:
[Virtual Roundtable] NISTs Proposal on Bias in Artificial Intelligence Roundtable - July 27th, 12:00 pm - 1:00 pm ET - JD Supra