NIST AI Workshops & Events

NIST works with the AI community to identify the building blocks needed to cultivate trust and ensure that AI systems are accurate, reliable, safe, secure and resilient, robust, explainable and interpretable – and that they mitigate bias while also taking into account privacy and fairness. To foster collaboration and develop a shared understanding of what constitutes trustworthy AI, NIST has been organizing a series of workshops bringing together government, industry, academia, and other stakeholders from the US and around the world. The workshops’ focus is on advancing the development of AI standards, guidelines, and related tools.

• The kickoff AI Workshop, Exploring AI Trustworthiness, took place on August 6, 2020. A report on the discussions is due out shortly. A recording of the workshop can be found on the event page.
• A workshop on Bias in AI was held on August 18, 2020. A draft report which includes information about discussions has been published. A recording of this event can be found on the event page. 
• A workshop on Explainable AI was held January 26-28, 2021. A workshop report is due out shortly. 
• National Academy of Science, Engineering and Medicine (NASEM) workshop on Assessing and Improving AI Trustworthiness: Current Contexts, Potential Paths was held on March 3-4, 2021
• A workshop on AI Measurement and Evaluation was held June 15 - 17, 2021.  

• NIST relies on workshops to gather public and private stakeholder information, feedback, and perspectives. Multiple related AI workshops have been held and are being scheduled. See here for more details. For details about the most recent workshop, see:

  • Kicking off NIST AI Risk Management Framework: Workshop #1 - October 19-21, 2021