On March 3-4, 2021, the National Academies of Sciences, Engineering, and Medicine held a workshop to explore both current assessments and current approaches to understanding and enhancing trustworthy artificial intelligence (AI) and to identify potential paths to contribute to improved assessments of AI trustworthiness. A series of five panel discussions and one keynote address provided an overview of current practices in AI trustworthiness and then focused on attributes of trustworthy systems and tools and assessments to better understand and communicate a system's trustworthiness. This publication summarizes the presentations and discussion of the workshop.
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|Assessing and Improving AI Trustworthiness: Current Contexts and Concerns Proceedings of a Workshop in Brief||1-12|
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