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Bill· SS. 4199 (119th)reported

Youth AI Privacy Act

United States · United States Congress · 26 August 2026

Bill· HRH.R. 9333 (119th)reported

AI Flaw Reporting and Security Enhancement Act

United States · United States Congress · 26 August 2026

AI Flaw Reporting and Security Enhancement Act This bill establishes a program to facilitate the voluntary reporting and tracking of artificial intelligence (AI) flaws, to be administered by the National Institute of Standards and Technology (NIST). In carrying out this program, NIST must seek to convene various stakeholders to establish common definitions for terms related to AI flaws and criteria for the classification of AI flaws (e.g., security-related flaws and safety-related flaws). The group must also support the development of technical standards and guidance related to detecting, managing, and disclosing AI flaws and prioritizing the remediation of such flaws. Further, NIST must develop, or enter into cooperative agreements with institutions of higher education or research institutions to develop, infrastructure for the voluntary reporting, collection, and tracking of AI flaws. This must include a national database of AI flaws or the modification of an existing national database to account for AI flaws. (NIST currently administers a national database of cybersecurity vulnerabilities.) NIST must consider certain topics when developing this infrastructure, including the interoperability of the infrastructure with relevant existing systems, standards, and best practices. Within three years of the bill’s enactment, NIST must report to Congress on the implementation of these provisions. Under the bill, an AI flaw is a set of conditions or behaviors that allow for the violation of certain policies (e.g., safety or security policies) and is not necessarily associated with malicious intent.

Question· Schriftliche Frage21/2387open

Nichtvertretung des BSI im geplanten Nationalen Sicherheitsrat

Germany · German Bundestag · 26 August 2026

Originaltext der Frage(n):<br /> <br /> Was sind die konkreten Gründe dafür, dass das Bundesamt für Sicherheit in der Informationstechnik (BSI) und/oder künftig der CISO Bund trotz der enormen sicherheitspolitischen Bedeutung der IT-Sicherheit und dem zweifellos großen Know-how des Bundesamts bei der Abwehr hybrider Bedrohungen nach den bisherigen Planungen nicht im Nationalen Sicherheitsrat vertreten ist/sind, und wie stellt die Bundesregierung sicher, dass das Bundesamt bei Themen, die seinen Tätigkeitsbereich unmittelbar betreffen (wie zum Beispiel IT-Sicherheit, Schutz Kritischer Infrastruktur, Künstliche Intelligenz, Bekämpfung von Desinformation) frühzeitig und umfänglich in Abstimmungen der Bundesregierung einbezogen wird?

Record· Brief regering2026Z15760open

Internationale AI Strategie

Netherlands · House of Representatives · 26 August 2026

Internationale AI Strategie

Question· Schriftliche Frage21/4573open

Gesetzlicher Nachbesserungsbedarf im Umgang mit KI-Deepfakes

Germany · German Bundestag · 26 August 2026

Originaltext der Frage(n):<br /> <br /> An welcher konkreten Stelle müssen nach Ansicht der Bundesregierung gesetzliche Instrumente im Umgang mit KI-Deepfakes etc. "nachgeschärft" werden (vgl. www.deutschlandfunk.de/digitalminister-wildberger-ki-bilder-ohne-bezug-zur-realitaet-bedrohen-die-demokratie-100.html, abgerufen am 24. Februar 2026)?

Question· Schriftliche Frage21/4573open

Maßnahmen zur Steigerung der Attraktivität Deutschlands als Standort für KI-Rechenzentren

Germany · German Bundestag · 26 August 2026

Originaltext der Frage(n):<br /> <br /> Plant die Bundesregierung, die Attraktivität des Standortes Deutschland für KI-Rechenzentren kurzfristig zu steigern, und wenn ja, mit welchen konkreten Maßnahmen (vgl. www.noz.de/deutschland-welt/wirtschaft/artikel/ki-treibt-strombedarfvon-rechenzentren-hilft-kernfusion-49936776, abgerufen am 24. Februar 2026)?

Bill· HRH.R. 8800 (119th)passed

National Defense Authorization Act for Fiscal Year 2027

United States · United States Congress · 25 August 2026

National Defense Authorization Act for Fiscal Year 2027 This bill sets forth policies and authorities for FY2027 for Department of Defense (DOD) programs, activities, and military construction as well as the national security programs of the Department of Energy (DOE). Among other elements, the bill authorizes the procurement of various items, including aircraft and ships; sets active duty and reserve component personnel strength levels; sets policy regarding various aspects of military health care and military compensation; sets policy regarding DOD acquisitions and acquisition management, including contracting authorities and the acquisition workforce; sets policy for various matters related to DOD interactions with foreign nations, including matters concerning Israel, Europe, and the Indo-Pacific; sets policy for various matters related to DOD cybersecurity and artificial intelligence; requires DOD to include projected demand for foreign military sales in certain contexts, including munitions production planning, sustainment planning for major defense acquisition programs, and decisions regarding production rate increases of defense articles; requires DOD to establish an expedited qualification process for new domestic and allied sources of certain strategic materials, including specified metals, alloys, oxides, and magnets; authorizes specified military construction projects and extends the authorization of certain projects from previous fiscal years; and&nbsp; authorizes the National Nuclear Security Administration, Defense Nuclear Facilities Safety Board, Naval Petroleum Reserves, and Maritime Administration. For additional information on the National Defense Authorization Act (NDAA) see In Focus IF10516, Defense Primer: Navigating the&nbsp;NDAA , and In Focus IF10515, Defense Primer: The&nbsp;NDAA Process .

Bill· HRH.R. 6461 (119th)reported

READ AI Models Act

United States · United States Congress · 25 August 2026

Resources for Evaluating and Documenting AI Models or the READ AI Models Act This bill requires the National Institute of Standards and Technology (NIST) to develop a customizable template for information to accompany artificial intelligence (AI) models. Specifically, NIST must initiate a pilot program to establish a structured template that may be used to document information about an artificial intelligence model and any associated data, such as the model’s name, the developer, and the cutoff date for the model’s training data. The template must be modular to enable users to adopt and complete various sections to suit their needs and intended audience. NIST must also provide technical guidelines to accompany the template that incorporate consensus-based standards and industry best practices, as appropriate. In developing these materials, NIST must collaborate with and conduct periodic outreach to various stakeholders, including private sector entities, international standards organizations, and institutions of higher education. NIST must publish and solicit public comment on a draft of the template and guidelines. Within 12 months of the start of the pilot program, NIST must publish the finished products and report to Congress with an assessment of the program.

Question· Schriftliche Frage21/4573open

Maßnahmen zur Reduzierung von Biosecurity-Risiken

Germany · German Bundestag · 25 August 2026

Originaltext der Frage(n):<br /> <br /> Welche konkreten Maßnahmen ergreift bzw. plant die Bundesregierung, um Biosecurity-Risiken zu reduzieren, die durch die beschleunigte biologische Forschung und Entwicklung (u. a. mittels fortgeschrittener KI-Systeme) entstehen können, und inwiefern bezieht sie dabei Erkenntnisse aus ihren Arbeiten zur Forschungssicherheit ein?

Bill· SS. 4784 (119th)open

National Defense Authorization Act for Fiscal Year 2027

United States · United States Congress · 24 August 2026

National Defense Authorization Act for Fiscal Year 2027 This bill sets forth policies and authorities for FY2027 for Department of Defense (DOD) programs, activities, and military construction as well as the national security programs of the Department of Energy (DOE). Among other elements, the bill authorizes the procurement of various items, including aircraft and ships; sets active duty and reserve component personnel strength levels; sets policy regarding various aspects of military health care and military compensation; sets policy regarding DOD acquisitions and acquisition management, including contracting authorities; sets policy for various matters related to DOD interactions with foreign nations, including matters concerning the Middle East, Europe, and the Indo-Pacific; sets policy for various matters related to DOD cyber operations, cyber forces, cybersecurity, and artificial intelligence; requires DOD to review certain materials (including boron carbide, copper foil, and synthetic diamond) to determine actions to maintain access to critical defense industry components and materials, and report to Congress on such matters;&nbsp; authorizes DOD's Office of Strategic Capital to make equity investments in non-federal entities with respect to batteries and critical minerals, materials, and chemicals; authorizes specified military construction projects and extends the authorization of certain projects from previous fiscal years; and&nbsp; authorizes the National Nuclear Security Administration and the Defense Nuclear Facilities Safety Board. For additional information on the National Defense Authorization Act (NDAA) see In Focus IF10516, Defense Primer: Navigating the&nbsp;NDAA , and In Focus IF10515, Defense Primer: The&nbsp;NDAA Process .

Bill· SS. 1816 (119th)referred

Improving Seniors’ Timely Access to Care Act of 2025

United States · United States Congress · 24 August 2026

Improving Seniors' Timely Access to Care Act of 2025 This bill establishes several requirements and standards relating to prior authorization processes under Medicare Advantage (MA) plans. Specifically, MA plans must (1) establish an electronic prior authorization program that meets specified standards; (2) annually submit to the CMS for publication specified prior authorization information, including the percentage of requests approved and the average response time; and (3) meet other standards, as set by the Centers for Medicare &amp; Medicaid Services (CMS), relating to the quality and timeliness of prior authorization determinations. The CMS and the&nbsp;Office of the National Coordinator for Health Information Technology must publish on the CMS' website a report that analyzes the information received from MA plans, the feasibility of implementing real-time decision making with respect to prior authorization requests, and the impact of decisions that are made using artificial intelligence on patient access.&nbsp;

Bill· HRH.R. 9334 (119th)reported

Workforce for AI Trust Act

United States · United States Congress · 24 August 2026

Workforce for AI Trust Act This bill provides for various workforce development and research programs related to artificial intelligence (AI). For example, the bill authorizes the National Institute of Standards and Technology (NIST) to support education and workforce development activities to expand careers in the AI workforce. Further, the bill requires NIST to develop a common system for describing and classifying AI-related tasks, knowledge, and skills that can be used to develop job descriptions or competency areas (an AI workforce framework ). NIST must develop guidelines for using the framework and take other steps to support external use (e.g., through outreach and dissemination to AI education programs). Separately, the National Science Foundation (NSF) may make awards through eligible institutions of higher education to support graduate and postdoctoral research fellowships across disciplines (including in&nbsp;social science and humanities) related to trustworthy AI. NSF may also make awards to support institutional workshops to advance the development and training of trustworthy AI systems. NSF must encourage the use of AI to accelerate work across&nbsp;NSF-supported fields, including by supporting (1) training for undergraduate and graduate students and postdoctoral researchers, (2) workshops on the application of trustworthy AI to new uses, and (3) supplements to existing research awards for applying AI to ongoing research. Further, NSF must generally ensure that merit review panels convened to evaluate AI-related proposals incorporate perspectives from diverse research disciplines (e.g., social science, ethics, and linguistics).

Report· Bericht, Gutachten, Programm21/7250open

Dreizehnter Bericht des Ausschusses für Finanzstabilität zur Finanzstabilität in Deutschland

Germany · German Bundestag · 24 August 2026

Risikolage im deutschen Finanzsystem: makrofinanzielles Umfeld, vom Unternehmenssektor und vom Immobilienmarkt ausgehende Risiken, Risiken im Banken-, Versicherungs- und Investmentfondssektor, makroprudenzielle Instrumente, weitere Themen (Cyberrisiken und hybride Bedrohungen, Stablecoins und KI), Zusammenarbeit mit dem Europäischen Ausschuss für Systemrisiken

Motion· Motie2025Z09354adopted

Motion by Member Van Nispen on algorithms that may use risk profiling and publish automated selection tools in the Algorithm Register

Original: Motie van het lid Van Nispen over algoritmes die mogelijk gebruikmaken van risicoprofilering en geautomatiseerde selectie-instrumenten in het Algoritmeregister publiceren

Netherlands · House of Representatives · 21 August 2026

Translated from Dutch

Motion by Member Van Nispen on algorithms that may use risk profiling and publish automated selection tools in the Algorithm Register

Motion· Motie2025Z03193adopted

Motion by member Six Dijkstra on a progress letter on the registration per department of both high-risk AI and high-impact algorithms

Original: Motie van het lid Six Dijkstra over een voortgangsbrief inzake de registratie per departement van zowel hoogrisico-AI als impactvolle algoritmen

Netherlands · House of Representatives · 21 August 2026

Translated from Dutch

Motion by member Six Dijkstra on a progress letter on the registration per department of both high-risk AI and high-impact algorithms

Bill· HJRESH.J.Res. 187 (119th)referred

Providing for congressional disapproval under chapter 8 of title 5, United States Code, of the rule submitted by the Centers for Medicare & Medicaid Services of the Department of Health and Human Services relating to "Medicare Program; Implementation of Prior Authorization for Select Services for the Wasteful and Inappropriate Services Reduction (WISeR) Model".

United States · United States Congress · 21 August 2026

This joint resolution prohibits the Centers for Medicare &amp; Medicaid Services (CMS) from testing a new Medicare payment model in certain states that involves a prior authorization process and the use of enhanced technology by third-party contractors to determine whether certain claims should be paid. Specifically, the joint resolution nullifies a notice issued by the CMS on July 1, 2025, titled Medicare Program; Implementation of Prior Authorization for Select Services for the Wasteful and Inappropriate Services Reduction (WISeR) Model . (On May 12, 2026, the Government Accountability Office issued a letter of opinion stating that this notice constituted an agency rule and is therefore subject to the Congressional Review Act.) The CMS selected six states to participate in this model over a six-year period: New Jersey, Ohio, Oklahoma, Texas, Arizona, and Washington. Under the model, contracted companies must process prior authorization requests (i.e., requests for coverage determinations before a service is furnished) for certain services using enhanced technology (e.g., artificial intelligence). Contracted companies are paid based on the share of resulting savings. The CMS aims to test the model's ability to produce accurate results while streamlining the prior authorization process for Medicare claims. The model is based in part on similar processes used for Medicare Advantage claims.&nbsp; CMS began implementing the model on January 1, 2026. This joint resolution prohibits the CMS from continuing to do so.

Bill· HRH.R. 9686 (119th)referred

FARM AI Act of 2026

United States · United States Congress · 21 August 2026

Bill· HRH.R. 3514 (119th)reported

Improving Seniors’ Timely Access to Care Act of 2025

United States · United States Congress · 21 August 2026

Improving Seniors' Timely Access to Care Act of 2025 This bill establishes several requirements and standards relating to prior authorization processes under Medicare Advantage (MA) plans. Specifically, MA plans must (1) establish an electronic prior authorization program that meets specified standards; (2) annually submit to the CMS for publication specified prior authorization information, including the percentage of requests approved and the average response time; and (3) meet other standards, as set by the Centers for Medicare &amp; Medicaid Services (CMS), relating to the quality and timeliness of prior authorization determinations. The CMS and the&nbsp;Office of the National Coordinator for Health Information Technology must publish on the CMS' website a report that analyzes the information received from MA plans, the feasibility of implementing real-time decision making with respect to prior authorization requests, and the impact of decisions that are made using artificial intelligence on patient access.&nbsp;

Bill· HRH.R. 8048 (119th)referred

AI/AN CAPTA

United States · United States Congress · 21 August 2026

Bill· HRH.R. 3029 (119th)referred

To amend the Research and Development, Competition, and Innovation Act to support nucleic acid screening, and for other purposes.

United States · United States Congress · 20 August 2026

Nucleic Acid Standards for Biosecurity Act This bill explicitly requires the National Institute of Standards and Technology (NIST) to support the development of best practices and technical standards for nucleic acid synthesis. Nucleic acids, including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), carry genetic information within cells. Nucleic acid synthesis is the process of designing and creating custom nucleic acids; it is used in the development of medications and agricultural products. However, this technology also poses a risk of misuse (e.g., the intentional or unintentional creation of dangerous biological agents). The bill requires NIST to carry out measurement research to support the development and improvement of biosecurity best practices and technical standards related to nucleic acid synthesis. This effort must address specified topics including nucleic acid synthesis screening, operational security, and conformity assessment. (A 2023 executive order titled Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence directed NIST to develop and refine similar specifications and best practices for use by synthetic nucleic acid providers. NIST's work on this topic is ongoing.) In carrying out this effort, NIST must convene stakeholders to develop and periodically update consensus priorities and best practices for synthetic nucleic acid screening mechanisms. Within a specified period, NIST must submit a summary of the stakeholder group’s findings to Congress. NIST must also take steps to advance risk management best practices and technical standards for engineering biology and biomanufacturing, including with respect to risks associated with the use of artificial intelligence.

Bill· HRH.R. 4801 (119th)open

Unleashing AI Innovation in Financial Services Act

United States · United States Congress · 20 August 2026

Unleashing AI Innovation in Financial Services Act This bill allows regulated financial entities to test artificial intelligence (AI) projects under waived or modified regulations upon the approval of an application by the appropriate federal financial regulatory agency. These agencies must establish AI innovation labs to enable such projects. Under the bill, regulated entities may engage in AI test projects associated with financial products, services, or activities. Regulated entities must apply to the appropriate agency with a description and proposed duration of the AI test project, propose an alternative compliance strategy, and explain how the AI test project serves the public interest and does not present certain risks.&nbsp; The alternative compliance strategy must include several elements, such as (1) identifying a regulation issued by an agency that the regulated entity requests to be waived or modified and (2) proposing an alternative method of compliance with the regulation's underlying statute. Upon approval, the agency may only enforce such a regulation according to the agreement.&nbsp; The bill also provides for agency review of such applications, establishes procedures for entities that are subject to regulation by multiple agencies, and allows agencies to file for injunctive relief if an AI test project presents certain risks or dangers.&nbsp;

Bill· HRH.R. 2152 (119th)open

AI PLAN Act

United States · United States Congress · 20 August 2026

Artificial Intelligence Practices, Logistics, Actions, and Necessities Act or the AI PLAN Act This bill requires the Department of the Treasury, the Department of Homeland Security (DHS), and the Department of Commerce to submit a report on the risks posed by the use of artificial intelligence in the commission of financial crimes by adversarial actors. The report must describe interagency, intergovernmental, and public-private partnership activities, policies, and procedures to defend U.S. interests against the national and economic security risks posed by the use of artificial intelligence in the commission of financial crimes;&nbsp; provide a list of readily available resources that can be immediately deployed by federal agencies to combat these risks, and provide a list of resources needed by federal agencies to combat these risks. Risks that must be considered by the report include deepfakes, voice cloning, foreign election interference, synthetic identities, false flags that disrupt market operations, AI-supported social engineering,&nbsp;and general digital fraud. After submission of this report, Treasury,&nbsp;DHS, and Commerce must make recommendations for legislation and best practices for businesses and government entities to address these risks.

Bill· HRH.R. 9501 (119th)reported

AI Tax Integrity Act of 2026

United States · United States Congress · 20 August 2026

AI Tax Integrity Act of 2026 This bill requires the Internal Revenue Service to establish a pilot program to use artificial intelligence to identify inaccurate federal tax returns. Upon completion of the pilot program, the Government Accountability Office must submit a report to Congress describing the aggregate amount of improper tax refunds or reduced tax liability attributable to fraud detected by the pilot program, aggregate amount recovered as a result of the pilot program, and accuracy of the artificial intelligence tools used in the pilot program in identifying fraudulent federal tax returns.

Bill· HRH.R. 7972 (119th)reported

Taxpayer Workforce Modernization Act

United States · United States Congress · 20 August 2026

Taxpayer Workforce Modernization Act This bill requires the Internal Revenue Service to establish a fellowship program to recruit qualified data scientists and a task force, which includes such fellows, to support audit case selection and effectiveness, efforts to address offshore tax evasion, use of artificial intelligence and data&nbsp;analytics in tax administration, and various training and educational efforts. The bill defines a qualified data scientist as a professional who has demonstrated skills applying advanced&nbsp;analytics, statistical modeling, or machine learning in complex regulatory, financial, or compliance environments while working alongside tax law specialists and other tax subject matter experts.

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