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