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AI Foundational Research - Free of Bias

A crucial principle, for both humans and machines, is to avoid bias in order to prevent discrimination. It is critical that AI systems are trained with data that is unbiased and using algorithms that can be explained. The purpose of this project is to understand, examine, and mitigate bias in AI systems.

There are two upcoming opportunities to participate in the project:

  1. A NIST virtual workshop in August 2020 will bring together experts to develop a shared understanding of bias in AI, what it is, and how to measure it. Please check for workshop sign-ups and project updates on this webpage. 
  2. A NIST report on AI bias, detailing a taxonomy of concepts and defining terminology in the field of AI bias and based in part on the August workshop, will be released for public comment later this year.

SAVE THE DATE - BIAS IN AI WORKSHOP - AUGUST 18, 2020

NIST is hosting a virtual workshop on August 18, 2020, to develop a shared understanding of bias in AI, what it is, and how to measure it.

To join NIST ai-bias list serve, send email to ai-bias@list.nist.gov

Created April 6, 2020, Updated June 9, 2020