This month’s virtual presenter is Elham Tabassi, Chief of Staff in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST). To speed innovation and adoption of trustworthy AI systems, we need greater understanding of – and the ability to communicate about and trust in – AI systems. To achieve trustworthy AI systems, stakeholders need to develop (and subsequently ensure understanding and use of) the building blocks for trustworthy AI systems. They also need the associated measurements, methods, standards, and tools to implement those building blocks when developing, using, and testing AI systems. NIST works with the AI community to establish the technical requirements needed to cultivate the trust that AI systems are accurate and reliable, safe and secure, explainable, and free from bias. This talk gives an overview of NIST trustworthy AI program.