The U.S.-EU Trade and Technology Council and the National Institute of Standards and Technology (NIST) recently released a joint roadmap in an effort to uplift trust in artificial intelligence (AI) and improve risk management strategies in this area.

The roadmap, which was shared at the TTC Ministerial Meeting (December 2022), aims to guide the development of tools, methodologies, and approaches to AI risk management and trustworthy AI. It also advances U.S. and EU shared interest to support international standardization efforts and promote trustworthy AI on the basis of a shared dedication to democratic values and human rights.

NIST’s expertise in AI enables the agency to make important technical contributions to the development of policies. NIST also plays a key role as a neutral convener of organizations and individuals with disparate views about AI matters. Furthermore, the agency’s active participation in national and global discussions can help to shape the development of trustworthy and responsible AI.

NIST is contributing to the important, fast-emerging area of AI via a number of avenues and initiatives. These include:

• Leading and participating in several federal AI policymaking efforts and engaging with many other federal offices and interagency groups
• Establishing and administering the National Artificial Intelligence Advisory Committee (NAIAC), co-chairing the National Science and Technology Council’s Machine Learning and Artificial Intelligence Subcommittee, co-chairing the Networking and Information Technology Research and Development’s (NITRD) AI Working group, and founding and co-chairing the AI Standards Coordination Working Group (AISCWG) under the Interagency Committee on Standards Policy (ICSP). NIST’s AI lead also serves as Federal AI Standards Coordinator and is a member of the National AI Research Resource Task Force
• Engaging with private, public, and non-profit organizations about AI-related policies that align with NIST’s mission and technical contributions. NIST also convenes national and international stakeholders to ensure two-way communications on select AI-related issues
• Developing guidance to facilitate voluntary data sharing arrangements among industry, federally funded research centers, and federal agencies to advance AI research and technologies. This comprises offering options for partnership models between government entities, industry, universities, and nonprofits that incentivize each to share the data they have collected.

This article first appeared on the NIST website and is published here with permission.