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AI Standards

NIST leads and participates in the development of technical standards, including international standards, that promote innovation and public trust in systems that use AI. A broad spectrum of standards for AI data, performance, and governance are – and increasingly will be – a priority for trustworthy and responsible AI. NIST carries out its work consistent with the US Government National Standards Strategy for Critical and Emerging Technology

Ensuring Awareness and Federal Coordination in AI Standards Efforts

  • In its role as federal AI standards coordinator, NIST works across the government and with industry stakeholders to identify critical standards development activities, strategies, and gaps. Based on priorities outlined in the NIST-developed “Plan for Federal Engagement in AI Standards and Related Tools,” NIST is tracking AI standards development opportunities, periodically collecting and analyzing information about agencies’ AI standards-related priority activities and making recommendations through the interagency process to optimize engagement.
  • On March 1, 2022, NIST delivered to Congress a report summarizing progress that federal agencies have made to implement the recommendations of the US Leadership in AI plan.
  • NIST is facilitating federal agency coordination in the development and use of AI standards in part through the Interagency Committee on Standards Policy (ICSP), which it chairs. An ICSP AI Standards Coordination Working Group (AISCWG) aims to promote effective and consistent federal policies leveraging AI standards, raise awareness, and foster agencies’ use of AI to inform the development of standards. The group helps to coordinate government and private sector positions regarding AI international standards activities. NIST’s role in ensuring awareness and federal coordination of AI standards is explained in more detail here.

Global Engagement for AI Standards

Under the October 30, 2023, Presidential Executive Order, NIST is developing a plan for global engagement on promoting and developing AI standards. The goal is to drive the development and implementation of AI-related consensus standards, cooperation and coordination, and information sharing. That plan may address: AI nomenclature and terminology; best practices regarding data capture, processing, protection, privacy, confidentiality, handling, and analysis; trustworthiness, verification, and assurance of AI systems; and AI risk management. 

Encouraging International Standards Incorporation of the AI Risk Management Framework (AI RMF 1.0)

Created August 3, 2021, Updated March 25, 2024