The USG has issued two documents designed to advance trustworthy approaches to AI and address AI risk. First, the National Institute of Standards and Technology (NIST) will release its AI Risk Management Framework 1.0 (AI RMF) on January 26th. The framework is a voluntary guidance for organizations to use when managing AI risks to individuals, organizations, and society by incorporating trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems. It has been developed through a consensus-driven, transparent, and collaborative process among AI stakeholders– including representation from private industry, civil society, academia, and government agencies. The second document, issued by the US/EU Trade and Technology Council, is a joint roadmap that aims to guide the development of tools, methodologies, and approaches to AI risk management and trustworthy AI. The US and the EU agree that AI technologies should be shaped by democratic values and a commitment to human rights, but the two take a different approaches to balancing soft and hard law. To find common ground, the Roadmap is designed to 1: advance shared terminologies and taxonomies, 2: collaborate on standards and tools for trustworthy AI and risk management, 3: and monitor and measure existing and emerging AI risks.

Dr. Elham Tabassi, Chief of Staff at the Information Technology Lab at NIST, will describe a detailed overview of the AI RMF and discuss how it relates to the work of the TTC and other AI risk activities. She will also explain how the US and EU can collaborate on monitoring and measuring AI risks. Dr. Tabassi not only directs NIST’s AI risk work, but she is also Vice Chair of a Working Group at the OECD to examine AI Governance at the national and international levels, acts as the Federal government’s AI standards coordinator, and serves on the National Artificial Intelligence Research Resource Task Force.

In Partnership with