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AI Fundamental 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.

Past Activities

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.


NIST A.I. Reference Library Bibliography: Bias in Artificial Intelligence

Contact Information: ai-bias [at]


Created April 6, 2020, Updated October 8, 2021