Explainable AI Workshop

NIST’s Explainable AI Workshop


This workshop explored an understanding of explainable AI, based on a draft NIST whitepaper describing four principles of explainable AI. Discussions addressed the roles of explanations in the AI life cycle, how explainable AI fits into the trustworthy AI ecosystem, and what a risk management strategy looks like for explainable AI.

Bias in AI Workshop

NIST’s Bias in AI Workshop


This workshop aimed to develop a shared understanding of bias in AI that can guide and speed the innovation and adoption of trustworthy AI systems, including measurements, standards, and related tools. This workshop aimed to build a community of interest for NIST’s multi-faceted work in this area, which includes foundational and use-inspired research, evaluation, standards, and policy engagement.