Adam Jonas

Adam Jonas

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This publication considers common types of biases in AI systems that can lead to public distrust in applications across all sectors of the economy and proposes a three-stage framework for reducing such biases. The National Institute of Standards and Technology intentionally focuses on how AI systems are designed, developed, and used and the societal context in which these systems operate rather than specific solutions for bias. As a result, its framework proposes to enable users of AI systems to identify and mitigate bias more effectively through engagement across diverse disciplines and stakeholders, including those most directly affected by biased models. This proposal represents a step by NIST towards the development of standards for trustworthy and responsible AI. NIST is accepting comments on this framework until August 5, 2021.