AI rules

Request for Information (RFI) on Modernizing the National Vulnerability Database in the Age of Artificial Intelligence

The National Institute of Standards and Technology (NIST) established and operates the National Vulnerability Database (NVD), which provides the U.S. government repository of standards-based vulnerability management data. NIST seeks stakeholder input on opportunities, challenges, and priorities for modernizing the NVD in an evolving cybersecurity landscape increasingly shaped by artificial intelligence (AI) and machine-consumable security data. NIST's goal is to improve the NVD's scalability, automation, interoperability, transparency, and utility.

Enhanced Favorable Treatment for the United Arab Emirates Under the Export Administration Regulations

In this final rule, the Bureau of Industry and Security (BIS) amends the Export Administration Regulations (EAR) to provide enhanced favorable treatment for the United Arab Emirates (UAE). Specifically, BIS is removing the UAE from Country Groups D:3 and D:4 and adding the UAE to Country Group A:5. More license exceptions will now be available, including Strategic Trade Authorization (STA) for the UAE Government and approved commercial entities in the UAE. STA will authorize the export, reexport, or transfer (in-country) of military items; certain commercial satellites and spacecraft; and dual-use items useful in, inter alia, oil and gas production, desalination, and civil nuclear power generation. The UAE Government and approved commercial entities will also have license-free access to advanced computing items, consistent with the May 2025 U.S.-UAE Artificial Intelligence Cooperation framework, without compromising U.S. digital infrastructure buildout.

Proposed Information Collection; ATUS Artificial Intelligence (AI) Questions

The Department of Labor, as part of its continuing effort to reduce paperwork and respondent burden, conducts a pre-clearance consultation program to provide the general public and Federal agencies with an opportunity to comment on proposed and/or continuing collections of information in accordance with the Paperwork Reduction Act of 1995. This program helps to ensure that requested data can be provided in the desired format, reporting burden (time and financial resources) is minimized, collection instruments are clearly understood, and the impact of collection requirements on respondents can be properly assessed. The Bureau of Labor Statistics (BLS) is soliciting comments concerning the proposed new collection, the "American Time Use Survey (ATUS) Artificial Intelligence (AI) Questions." A copy of the proposed information collection request can be obtained by contacting the individual listed below in the Addresses section of this notice.

Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems

The Federal Trade Commission ("Commission") is proposing a policy statement regarding the application of the prohibition on deceptive acts or practices in section 5 of the Federal Trade Commission Act to companies that market artificial intelligence ("AI") systems.

General Services Acquisition Regulation; Acquisition of Information and Communication Technology; Notice of Listening Sessions and Request for Comments

The General Services Administration (GSA) is seeking public comment on the draft of a new General Services Administration Acquisition Regulation (GSAR) clause regarding basic safeguarding of data within Large Language Model Artificial Intelligence Systems (LLMs). Due to the complexity of the issue, GSA is publishing this notification and draft clause to gather feedback from stakeholders before taking future action (e.g., deviation and/or formal rulemaking).

Promoting Advanced Artificial Intelligence Innovation and Security

Reforming the High-Cost Program for an All-IP Future, Connect America Fund: A National Broadband Plan for Our Future High-Cost Universal Support

In this document, the Federal Communications Commission (FCC or Commission) adopted a Notice of Proposed Rulemaking (NPRM) that kicks off a process to examine how the Commission can make some of its high-cost mechanisms even more efficient and effective into the future. Ensuring a predictable High-Cost Program for years to come--call it High-Cost Modernization--will provide continuing support for our Build America Agenda, supercharge American leadership in Artificial Intelligence (AI) by efficiently supporting the broadband-capable networks upon which AI-enhanced applications and services will be delivered and accessed, and will help accelerate the transition to Internet Protocol (IP) networks.

NIST Artificial Intelligence Consortium

The National Institute of Standards and Technology (NIST), an agency of the United States Department of Commerce, previously announced the formation of the Artificial Intelligence Safety Institute Consortium ("AISIC") through a publication dated November 2, 2023 (88 FR 75276). AISIC brought together more than 280 organizations to develop science-based and empirically backed guidelines and standards for artificial intelligence (AI) measurement, laying a foundation for global AI metrology. Through this succeeding notice, NIST is announcing the retitling of AISIC as the NIST Artificial Intelligence Consortium ("Consortium"), revising the scope of the Consortium's research, and reissuing its invitation to organizations to submit letters of interest in order to collaborate with NIST, non-profit organizations, industry leaders, universities, and other agencies of the Federal Government in addressing the challenges associated with the development and deployment of AI-based innovations. In support of NIST's directives under the National Artificial Intelligence Initiative Act of 2020 (Pub. L. 116-283), in accordance with Executive Order 14179 issued January 23, 2025 (Removing Barriers to American Leadership in Artificial Intelligence), and as mandated by America's AI Action Plan, issued July 2025, NIST will utilize the Consortium to empower the collaborative establishment of a new measurement science that will enable the identification of proven, scalable, and interoperable techniques and metrics to promote the development and use of AI. Interested organizations should describe the technical expertise and products, data, and/or models that they will bring to the Consortium to support the Consortium's collaborative research activities. Participation in the Consortium is open to all interested organizations that can contribute their expertise, products, data, and/or models to the Consortium activities. Selected participants will be required to enter into a Consortium Cooperative Research and Development Agreement (CRADA) with NIST. At NIST's discretion, entities that are not legally permitted to enter into CRADAs pursuant to law may be allowed to participate in the Consortium under a separate non-CRADA agreement. Organizations that are already members of the Consortium ("Consortium Members") are not required to reapply to NIST but may be asked to sign amendments to their current agreements with NIST that reflect the refocused direction of the Consortium.

AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program; Request for Information; Extension of Comment Period

The Food and Drug Administration (FDA or the Agency) is extending the comment period for the notice entitled "AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program; Request for Information" that appeared in the Federal Register of April 29, 2026. In the notice, FDA requested comments to solicit input on a proposed pilot program to assess how artificial intelligence (AI)-enabled technologies can improve efficiency, speed, and quality of decision- making in early phase clinical trials. The Agency is taking this action in response to a request for an extension to allow interested persons additional time to submit comments.

AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program; Request for Information

The Food and Drug Administration (FDA or the Agency) is issuing this request for information to solicit input on a proposed pilot program to assess how artificial intelligence (AI)-enabled technologies can improve efficiency, speed, and quality of decision- making in early phase clinical trials. Early-phase clinical trials represent a critical bottleneck in drug development, often characterized by high uncertainty, limited patient populations, and inefficient decision- making processes. This pilot program aims to explore how advances in AI and data science can improve trial efficiency, enhance safety monitoring, facilitate dose selection decisions, and enable more informed early go/no-go decisions (e.g., a regulatory decision as to whether a Phase 1 study may proceed) while maintaining FDA's rigorous scientific and regulatory standards and promoting trustworthy AI systems. The pilot program will be guided by principles aligned with the National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF).

Final Priority and Definitions-Secretary's Supplemental Priority and Definitions on Advancing Artificial Intelligence in Education

The Department of Education (Department) announces one priority and related definitions for use in currently authorized discretionary grant programs or programs that may be authorized in the future. The Secretary may choose to use an entire priority for a grant program or a particular competition or use one or more of the priority's component parts. This priority and definitions augment the initial set of three Secretary's Supplemental Priorities on Evidence- Based Literacy, Educational Choice, and Returning Education to the States published as final priorities on September 9, 2025; the additional Secretary's Supplemental Priorities on Meaningful Learning Opportunities, published as a final priority on February 12, 2026, and Career Pathways and Workforce Readiness, published as a final priority elsewhere in this issue of the Federal Register; and the additional proposed Secretary's Supplemental Priority on Promoting Patriotic Education, published as a proposed priority on September 17, 2025.

Final Priority and Definitions-Secretary's Supplemental Priority and Definitions on Career Pathways and Workforce Readiness

The Department of Education (Department) announces a final priority and definitions for use in currently authorized discretionary grant programs or programs that may be authorized in the future. The Secretary may choose to use the entire priority for a grant program or a particular competition or use one or more of the priority's component parts. This priority and definitions augment the initial set of three Secretary's Supplemental Priorities on Evidence-Based Literacy, Educational Choice, and Returning Education to the States published as final priorities on September 9, 2025; the additional Secretary's Supplemental Priorities on Meaningful Learning Opportunities, published as a final priority on February 12, 2026, and Advancing Artificial Intelligence in Education, published as a final priority elsewhere in this issue of the Federal Register; and the additional proposed Secretary's Supplemental Priority on Promoting Patriotic Education published as a proposed priority on September 17, 2025.

American AI Exports Program; Call for Proposals for Pre-Set Consortia

The Department of Commerce (the Department), through the International Trade Administration (ITA), invites proposals for full- stack American AI export packages from industry-led `pre-set' consortia for designation under the American Artificial Intelligence (AI) Exports Program (the Program) established pursuant to Executive Order 14320, "Promoting the Export of the American AI Technology Stack." A designated package will be presented by U.S. Government representatives as a standing, full-stack American AI export package and may receive priority government advocacy, export licensing review and processing, interagency coordination, and financing referrals, subject to applicable law. Designation does not guarantee any particular form of federal assistance, financing, license approval, advocacy outcomes, or a contract award.