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AI Risk Management

Identifying current and emerging AI risks is an essential step in determining how to mitigate them. AI risks include: (1) design and development risks such as cybersecurity, privacy, and bias, and (2) risks from using AI, such as amplifying and spreading disinformation, undermining intellectual property (IP) protections, creating unfair trade practices, and perpetrating fraud.

Featured Content

AI Governance: A Conversation with Reva Schwartz of the National Institute of Standards and Technology (NIST) about NIST's new AI Risk Management Framework

In this conversation, Reva Schwartz, a research scientist in the Information Technology Laboratory (ITL) at NIST, and a member of the ABA Presidential Task Force on AI and the Law (ABA AI Task Force) Advisory Council and Cynthia Cwik, a Vice-Chair of the ABA AI Task Force, discuss the NIST AI framework and how it is being implemented by organizations to advance trustworthy and responsible AI.


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