Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.
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:
- 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.
- 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.
References
NIST A.I. Reference Library Bibliography: Bias in Artificial Intelligence
BIAS IN AI WORKSHOP was held August 18, 2020
NIST hosted 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