US Global AI Standards Engagement Plan

Overview

The document, titled A Plan for Global Engagement on AI Standards (NIST AI 100-5e2025), outlines the United States' strategic approach to fostering the development and adoption of artificial intelligence (AI) standards worldwide. Developed by the Department of Commerce, in close coordination with the Department of State and numerous other U.S. Government agencies, this plan is a direct response to an Executive Order mandate and reflects extensive input from a diverse array of stakeholders. These stakeholders include federal and non-U.S. governments, businesses, academia, and civil society, whose insights were gathered through a December 2023 Request for Information and subsequent multistakeholder listening sessions across various sectors. The overarching goal is to ensure that AI-related consensus standards are developed and implemented in a manner that promotes trustworthy and responsible AI, thereby supporting innovation while mitigating potential risks. This plan serves as a foundational policy document, articulating the U.S. vision for leading global efforts in AI standardization and emphasizing the critical role of international cooperation and coordination.

The plan underscores the importance of U.S. leadership in shaping the global AI standards landscape to maintain its innovation economy and ensure that AI systems are developed and deployed responsibly. It is not a technical standard itself, but rather a strategic blueprint for engagement. The document highlights the necessity of accelerating the development of AI standards, promoting their widespread adoption, fostering international collaboration, and advancing pre-standardization research. By engaging with international partners and leveraging existing standards development organizations, the U.S. aims to influence the trajectory of AI governance and technology. The National Institute of Standards and Technology (NIST), in its role as the federal AI standards coordinator, plays a central part in orchestrating these efforts, ensuring a coordinated and effective national strategy for global AI standards engagement. This comprehensive approach is designed to build public trust in AI systems and facilitate their beneficial integration into society.

Definitions

While A Plan for Global Engagement on AI Standards does not establish a new set of formal definitions for AI terminology, it operates within the context of existing and emerging international consensus standards. The plan's primary focus is on driving the development and implementation of AI-related consensus standards, which inherently involves the harmonization and clarification of definitions within the global standardization ecosystem. Key concepts implicitly referenced and central to the plan's objectives include "trustworthy and responsible AI," which encompasses characteristics like accuracy, explainability, robustness, privacy, and fairness. The plan also emphasizes "multistakeholder engagement," referring to the collaborative involvement of governments, industry, academia, and civil society in the standards development process. The term "consensus standards" refers to standards developed through processes that involve broad agreement among interested parties, typically facilitated by private sector-led standards development organizations (SDOs).

The document acknowledges that a broad spectrum of standards for AI data, performance, and governance are, and increasingly will be, a priority for achieving trustworthy and responsible AI. Therefore, while it doesn't provide a dedicated glossary, its strategic recommendations implicitly guide the definitional work that occurs within various standards bodies. For instance, the plan's alignment with the NIST AI Risk Management Framework (AI RMF) suggests an adherence to the definitions and conceptualizations of AI risks and trustworthiness characteristics outlined within the AI RMF. The plan's objective to foster greater awareness of existing standards, guidelines, best practices, methodologies, and tools for managing AI risks further implies that it leverages and promotes the adoption of established terminology and definitions from recognized international and national standards organizations, rather than creating new ones.

Governance and Institutional Framework

The governance and institutional framework for implementing A Plan for Global Engagement on AI Standards is multi-layered, with the National Institute of Standards and Technology (NIST) at its core as the federal AI standards coordinator. This plan was developed by the Department of Commerce, in coordination with the Department of State and numerous other U.S. Government agencies, highlighting a whole-of-government approach. NIST's role involves leading and participating in the development of technical standards, including international standards, to promote innovation and public trust in AI systems. This coordination extends across federal agencies through mechanisms such as the Interagency Committee on Standards Policy (ICSP), which NIST chairs, and its dedicated AI Standards Coordination Working Group (AISCWG). The AISCWG's mandate includes promoting effective and consistent federal policies leveraging AI standards, raising awareness, fostering agencies’ use of AI to inform standards development, and coordinating government and private sector positions regarding international AI standards activities.

Beyond interagency coordination, the framework emphasizes broad multistakeholder engagement. The plan itself was shaped by extensive input from federal and non-U.S. governments, businesses, academia, and civil society, reflecting a commitment to inclusive governance. This collaborative model is crucial for developing consensus standards that are technically robust, globally interoperable, and responsive to societal needs. The U.S. government's strategy involves leveraging private sector-led standardization processes, where voluntary consensus standards are developed. This approach allows for agility and expertise from diverse sectors to contribute to AI standards development. Furthermore, the plan acknowledges the importance of international partnerships, with the Department of State playing a key role in diplomatic engagement to advance U.S. positions and foster cooperation on AI standards globally. This comprehensive framework is designed to ensure that the U.S. can effectively lead and contribute to global AI standardization efforts.

Key Focus Areas

The Plan for Global Engagement on AI Standards outlines several critical focus areas designed to advance trustworthy and responsible AI globally. A primary objective is to accelerate the development of AI standards, recognizing that timely and relevant standards are essential for fostering innovation and managing risks. This involves identifying priority topics for standardization work and actively contributing to their development within various standards development organizations (SDOs). Another key area is promoting the widespread adoption of these AI standards once they are developed. This includes encouraging both domestic and international stakeholders to integrate consensus standards into their AI design, development, deployment, and use practices, thereby enhancing interoperability, safety, and trustworthiness across the AI ecosystem.

Fostering international cooperation and coordination is a central pillar of the plan. The U.S. aims to lead global efforts by engaging with non-U.S. governments, international bodies, and private sector organizations to align approaches to AI standardization. This involves sharing information, harmonizing technical specifications where appropriate, and working towards mutual recognition of standards. The plan also emphasizes advancing pre-standardization research, which involves conducting foundational scientific work to inform future standards development. This research helps to address emerging technical challenges, anticipate future needs, and ensure that standards are based on sound scientific principles. By focusing on these interconnected areas, the plan seeks to establish a robust and globally coherent framework for AI standards that supports both technological progress and societal well-being.

Implementation Framework

The implementation framework for A Plan for Global Engagement on AI Standards is designed to be dynamic and collaborative, leveraging both governmental coordination and private sector expertise. A core component involves strengthening public-private partnerships, recognizing that the development of voluntary consensus standards is primarily driven by industry and technical experts. NIST, as the federal AI standards coordinator, facilitates this by engaging with diverse stakeholders—including businesses, academia, and civil society—to gather input and channel it into the standardization process. This ensures that standards are practical, technologically feasible, and reflective of broad societal needs. The plan also highlights the importance of leveraging existing standards bodies, both national and international, rather than creating new structures, to build upon established expertise and accelerate progress.

A notable initiative within this framework is NIST’s AI Standards “Zero Drafts” Pilot Project. This project aims to broaden participation in and accelerate the creation of standards by developing preliminary, stakeholder-driven drafts of standards based on science-backed work. These "zero drafts" are then submitted into the private sector-led standardization process as proposals for further development into voluntary consensus standards. This innovative approach helps to bridge the gap between research and formal standardization, making the process more accessible and responsive. Furthermore, the plan acknowledges that it will be followed by a more detailed implementation plan, indicating a phased approach to operationalizing its strategic objectives. This iterative process allows for flexibility and adaptation as the AI landscape evolves, ensuring that the U.S. approach to global AI standards engagement remains effective and impactful.

Monitoring and Evaluation

The Plan for Global Engagement on AI Standards implicitly recognizes the need for robust monitoring and evaluation to assess the effectiveness of its strategic objectives. While the document itself does not detail specific metrics or a formal evaluation framework, NIST's broader efforts in AI standards indicate a commitment to measuring impact. For instance, NIST released a report titled A Possible Approach for Evaluating AI Standards Development (GCR-26-069) on January 15, 2026. This report, prepared by Dr. Julia Lane, aims to stimulate discussion on a potential approach to evaluate the effectiveness, utility, and relative value of AI standards development. It acknowledges the lack of formal or shared methods to measure the impact of standards on goals like innovation and trust, and sketches out a conceptual structure for evaluation, drawing on successful approaches from other domains.

This initiative suggests that future iterations or accompanying documents to the Global Engagement Plan will likely incorporate more explicit mechanisms for monitoring progress. Key indicators for evaluation might include the number of U.S.-led or supported AI standards adopted internationally, the degree of alignment between international AI standards and U.S. principles (such as those in the AI RMF), the level of participation by U.S. experts in international SDOs, and the observed impact of implemented standards on AI trustworthiness, innovation, and risk management. The plan's emphasis on federal coordination and information sharing among agencies also implies an internal monitoring process to track agencies' AI standards-related priority activities and make recommendations to optimize engagement. Ultimately, the success of the plan will be measured by its ability to drive the worldwide development and implementation of AI-related consensus standards that foster trustworthy and responsible AI.

Penalties, Liability, and Appeals

As a strategic policy document focused on driving global engagement in AI standards development, A Plan for Global Engagement on AI Standards does not prescribe specific penalties, liability regimes, or appeals mechanisms. Its scope is to outline a framework for fostering the creation and adoption of voluntary consensus standards, which are inherently non-binding in a regulatory sense unless adopted by specific jurisdictions or incorporated into contracts. The plan aims to influence the technical specifications and best practices for AI systems through collaboration and consensus, rather than through direct regulatory enforcement.

The principles and recommendations within this plan are intended to guide the actions of U.S. government agencies, private sector entities, and international partners in contributing to and utilizing AI standards. Any legal implications, such as liability for AI system failures or penalties for non-compliance, would typically arise from separate national or international laws and regulations that might reference or incorporate these voluntary standards. For example, if a future regulation mandates adherence to certain AI standards developed under the influence of this plan, then the penalties and liability associated with that regulation would apply. However, the plan itself does not establish such legal consequences, focusing instead on proactive engagement to shape the foundational technical and ethical guidelines for AI.

Relationship to Other Instruments

The Plan for Global Engagement on AI Standards is deeply interconnected with other significant U.S. and international AI policy instruments. Most notably, it is intrinsically linked to the NIST AI Risk Management Framework (AI RMF 1.0). The plan aims to further the AI RMF's value by promoting its incorporation into international standards, thereby providing a resource for organizations designing, developing, deploying, or using AI systems to manage risks and promote trustworthy AI. The AI RMF itself takes into account and cites numerous international standards and documents, and its roadmap prioritizes alignment with applicable international standards, guidelines, and practices, including crosswalks to ISO/IEC standards like ISO/IEC 5338, ISO/IEC 38507, ISO/IEC 22989, ISO/IEC 24028, ISO/IEC DIS 42001, and ISO/IEC NP 42005. NIST has already posted crosswalks between the AI RMF and ISO/IEC FDIS23894, as well as an illustration relating AI RMF trustworthiness characteristics to the OECD Recommendation on AI and the Proposed EU AI Act.

Furthermore, the plan operates within the broader context of U.S. federal AI initiatives, fulfilling a mandate from an Executive Order and building upon the NIST-developed “Plan for Federal Engagement in AI Standards and Related Tools.” This ensures a coordinated federal approach to AI standards. Internationally, the plan seeks to align U.S. efforts with global discussions and frameworks, such as the OECD Recommendation on AI and the EU AI Act. By encouraging the incorporation of U.S. principles into international standards, the plan aims to foster global interoperability and prevent fragmentation in AI governance. It implicitly acknowledges and seeks to influence the work of various international standards development organizations (SDOs) like ISO/IEC, ensuring that U.S. perspectives on trustworthy and responsible AI are reflected in globally recognized technical specifications.

International Alignment

International alignment is the foundational objective of A Plan for Global Engagement on AI Standards. The document explicitly aims to drive the worldwide development and implementation of AI-related consensus standards, cooperation, coordination, and information sharing. This strategic focus is critical for ensuring that AI innovation flourishes globally while upholding principles of trustworthiness and responsibility. The plan recognizes that AI is a global technology, and fragmented national approaches to standards could hinder innovation, create trade barriers, and undermine public trust. Therefore, the U.S. seeks to lead by example and through collaboration, influencing the global AI standards landscape to reflect democratic values and best practices.

The plan outlines a strategy for U.S. engagement with non-U.S. governments, international organizations, and private sector bodies to promote a common understanding and adoption of AI standards. This includes advocating for U.S. positions within international standards development organizations (SDOs) and fostering mutual recognition agreements where appropriate. By coordinating with the Department of State and other agencies, NIST ensures that U.S. diplomatic and technical efforts are harmonized to advance shared goals. The plan also emphasizes the importance of sharing pre-standardization research and technical expertise internationally, contributing to a robust global knowledge base for AI standardization. This proactive engagement is designed to ensure that global AI standards are interoperable, technically sound, and supportive of a responsible and innovative global AI ecosystem.

Implementation Timeline

Sources and References