AI Legislation & Governance
Snapshot tracker for AI laws, policy frameworks, and operational risk issues by region.
Explainability, traceability, and deployment controls increasingly hinge on living documentation.
- Versioned model card in repo
- Risk register with owner, status, and mitigation
- Change-log linking model updates to risk impacts
High-risk and foundation-model regimes require demonstrable pre/post-deployment testing.
- Quarterly adversarial test reports
- Safety benchmark dashboard with pass/fail thresholds
- Remediation tickets tied to eval failures
Regimes are converging on rapid reporting, takedowns, and documented mitigations.
- Named incident commander + escalation matrix
- 72h incident timeline template
- Tabletop exercise logs for model misuse scenarios
Public-sector and enterprise procurement increasingly acts as de facto AI regulation.
- Security architecture + SBOM
- Data governance and retention policy
- Third-party audit attestations
Election and consumer-protection measures are tightening around synthetic content disclosure.
- Watermarking or provenance metadata spec
- User-visible labeling on generated outputs
- Detection/abuse monitoring metrics
Open-weight distribution obligations are still moving; explicit guardrails reduce legal ambiguity.
- OSS release decision tree
- Acceptable use policy for downstream use
- Exception approvals for high-risk capabilities
National consultation on mandatory guardrails for high-risk AI, likely blending voluntary and enforceable controls.
National framework bill under active debate on risk classification, accountability, and supervisory authority.
Federal proposal imposing obligations on high-impact systems and creating regulator powers around harm mitigation.
Generative AI service rules focusing on provider registration, content obligations, and security/data controls.
Comprehensive risk-based AI regulation with obligations by risk class and additional requirements for GPAI/foundation models.
Proposal to ease the burden of proof for victims of AI-caused harm and align with the EU AI Act risk classification.
Rules on access to and use of data generated by connected products and related services, with downstream implications for AI training data.
Platform accountability framework with risk assessment duties for VLOPs/VLOSEs, including AI-driven recommender systems and generative content.
Gatekeeper obligations affecting AI distribution, app stores, and access to platform data used to train models.
AI governance currently distributed across privacy law and sector policy while broader digital regulation evolves.
Voluntary governance and testing toolkit widely used as practical compliance baseline for enterprise deployments.
Policy-first approach emphasizing national strategy, capacity building, and eventual risk governance structures.
Guidance-led governance model with strong public-sector AI strategy and emerging sector-specific controls.
Non-statutory, regulator-led framework using five cross-sector principles and guidance rather than one AI law.
Artificial Intelligence (Regulation) Bill [HL]
Public Authority Algorithmic and Automated Decision-Making Systems Bill [HL]
Artificial Intelligence (Regulation) Bill [HL]
Artificial Intelligence (Regulation and Workers' Rights) Bill
Notice is hereby given, pursuant to the provisions of the rules and regulations of the U.S. Commission on Civil Rights (Commission) and the Federal Advisory Committee Act, that the Maryland Advisory Committee (Committee) to the Commission will hold public meetings via Zoom. The purpose is for the committee to begin briefing planning on the chosen topic of artificial intelligence and its application in voting administration.
Notice is hereby given, pursuant to the provisions of the rules and regulations of the U.S. Commission on Civil Rights (Commission) and the Federal Advisory Committee Act, that the Maryland Advisory Committee (Committee) to the Commission will hold public meetings via Zoom. The purpose is for the committee to begin the proposal discussion on the chosen topic of artificial intelligence and its application in voting administration.
Notice is hereby given, pursuant to the provisions of the rules and regulations of the U.S. Commission on Civil Rights (Commission) and the Federal Advisory Committee Act, that the Illinois Advisory Committee (Committee) to the U.S. Commission on Civil Rights will hold a public business meeting the last Wednesday of the month (January 2026 through March 2026) via Zoom at 3:30 p.m. CT. The purpose of these meetings is to discuss the Committee's project, Civil Rights, Civil Liberties, and Generative AI.
State-level high-risk AI framework focused on algorithmic discrimination controls and documentation duties.
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.
The Center for AI Standards and Innovation (CAISI), housed within the National Institute of Standards and Technology (NIST) at the Department of Commerce, is seeking information and insights from stakeholders on practices and methodologies for measuring and improving the secure development and deployment of artificial intelligence (AI) agent systems. AI agent systems are capable of taking autonomous actions that impact real-world systems or environments, and may be susceptible to hijacking, backdoor attacks, and other exploits. If left unchecked, these security risks may impact public safety, undermine consumer confidence, and curb adoption of the latest AI innovations. We encourage respondents to provide concrete examples, best practices, case studies, and actionable recommendations based on their experience developing and deploying AI agent systems and managing and anticipating their attendant risks. Responses may inform CAISI's work evaluating the security risks associated with various AI capabilities, assessing security vulnerabilities of AI systems, developing evaluation and assessment measurements and methods, generating technical guidelines and best practices to measure and improve the security of AI systems, and other activities related to the security of AI agent systems.
The United States Patent and Trademark Office (USPTO) had issued inventorship guidance for AI-assisted inventions on February 13, 2024.\1\ The USPTO hereby rescinds the previously published Inventorship Guidance for AI-Assisted Inventions and replaces it with the guidance below. ---------------------------------------------------------------------------
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.
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.
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.
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 (90 FR 43514), and the additional proposed Secretary's Supplemental Priorities on Artificial Intelligence, published as a proposed priority on July 21, 2025 (90 FR 34203); Career Pathways and Workforce Readiness, published as a proposed priority on September 25, 2025 (90 FR 46111); and Promoting Patriotic Education, published as a proposed priority on September 17, 2025 (90 FR 44788).
The Secretary proposes a priority and related definitions for use in currently authorized discretionary grant programs, or such 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 may 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 proposed priorities on May 21, 2025 (90 FR 21710).
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. The final 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 (90 FR 43514); the Secretary's Supplemental Priority on Meaningful Learning Opportunities, published as a final priority on February 12, 2026 (91 FR 6625); the Secretary's Supplemental Priority on Advancing Artificial Intelligence in Education, published as a final priority on April 13, 2026 (91 FR 18774); and the Secretary's Supplemental Priority and Definitions on Career Pathways and Workforce Readiness, published as a final priority on April 13, 2026 (91 FR 18780).
Ensuring a National Policy Framework for Artificial Intelligence
Preventing Woke AI in the Federal Government
Promoting Advanced Artificial Intelligence Innovation and Security
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.
The consent agreement in this matter settles alleged violations of Federal law prohibiting unfair or deceptive acts or practices. The attached Analysis of Proposed Consent Order to Aid Public Comment describes both the allegations in the complaint and the terms of the consent order--embodied in the consent agreement--that would settle these allegations.
Federal AI governance via executive authorities, agency guidance, procurement controls, and NIST-linked standards work.
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).
The HHS Office of the Deputy Secretary in collaboration with ASTP/ONC has published this Request for Information (RFI) to seek broad public comment on what HHS can do to accelerate the adoption and use of AI as part of clinical care.
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.
This final rule amends Department of Homeland Security (DHS) regulations to provide that DHS may require all aliens to be photographed when entering or exiting the United States, and may require non-exempt aliens to provide other biometrics. The final rule also amends the regulations to remove the references to pilot programs and the port limitation to permit collection of biometrics from aliens departing from airports, land ports, seaports, or any other authorized point of departure. In addition, DHS is requesting comments on the specific collection process as well as costs and benefits for new transportation modalities.
The Transportation Security Administration (TSA) invites public comment on one currently approved Information Collection Request (ICR), Office of Management and Budget (OMB) control number 1652-0027, abstracted below, which we will submit to OMB for an extension in compliance with the Paperwork Reduction Act (PRA). The ICR describes the nature of the information collection and its expected burden. The collection involves a driver's voluntary submission of biometric and biographic information for TSA's Security Threat Assessment (STA) to obtain the Hazardous Materials Endorsement (HME) on a Commercial Driver's License (CDL) issued by states and the District of Columbia.
This notice announces that the Transportation Security Administration (TSA) has forwarded the Information Collection Request (ICR), Office of Management and Budget (OMB) control number 1652-0059, abstracted below to OMB for review and approval of a revision of the currently approved collection under the Paperwork Reduction Act (PRA). The ICR describes the nature of the information collection and its expected burden. The collection involves the submission of biographic and biometric information by TSA PreCheck[supreg] Application Program or U.S. Customs and Border Protection (CBP) Trusted Traveler Program individuals enrolling in MyTSA PreCheck ID <SUP>TM</SUP>, TSA's Customer Service Portal, and Seamless Identity Automation.
The U.S. Nuclear Regulatory Commission (NRC) will convene a meeting of the Advisory Committee on the Medical Uses of Isotopes (ACMUI) on April 20-21, 2026. A sample of agenda items to be discussed include: a review of recent medical events; recommendations and advice to support the NRC implementation of the ADVANCE Act; recommendations on the staff's memo for licensing the use of alpha nuclides in radiopharmaceutical therapy; recommendations on the potential applications of artificial intelligence (AI) and deep learning technologies to enhance the efficiency and effectiveness of the NRC medical staff and the ACMUI; recommended best practices for the preparation of reports, including guidance on writing subcommittee reports and developing effective presentations, including Commission presentations; assessment of ACMUI membership to determine if the ACMUI would like to propose a change in membership to include an interventional radiologist; ACMUI review and recommendations regarding staff's proposed rulemaking on modernizing requirements relating to physical protection of category 1 and category 2 quantities of radioactive material rulemaking (topic is tentative based on its rulemaking schedule); and NRC's medical radiation safety team updates.
Different compute or capability thresholds can force multiple model-release and reporting playbooks.
- Diverging threshold definitions in implementing acts
- Cross-border model registration obligations
- Cloud provider attestation requirements
Unclear liability perimeter for open-weight and community-fine-tuned models can chill OSS ecosystems.
- New guidance on who is an AI provider/deployer
- Case law involving open-weight releases
- OSS-specific safe harbor proposals
Mandatory assessment rules may outpace availability of qualified auditors and evaluators.
- Backlogs in conformity assessments
- Regulator-approved auditor lists
- Standardized audit schema adoption
Fast-moving deepfake controls can trigger emergency restrictions on model features and distribution.
- Election-period content labeling mandates
- Rapid takedown liability windows
- Jurisdictional bans on specific tooling
Government procurement requirements are becoming practical compliance standards even before hard law.
- Model cards/evaluation report requirements
- Cybersecurity attestations for AI vendors
- Mandatory red-team evidence in bids
