...olving digital assets, including comments with respect to—
(1) application program interfaces; (2) artificial intelligence; (3) digital identify verification; and (4) use of blockchain technology and monitoring.
(b) T
REASURY RESEARCH .—
(1) I N GENERAL .—Upon completion of the public comment
period described in subse...
5057 results:
Description: A bill to provide for the regulation of payment stablecoins, and for other purposes.
Summary: The GENIUS Act regulates U.S. payment stablecoins, establishing permissible issuers, reserve requirements, and penalties for violations to ensure consumer protection and financial stability in the digital asset market.
Collection: Legislation
Status date: July 17, 2025
Status: Enrolled
Primary sponsor: Bill Hagerty
(6 total sponsors)
Last action: Motion to reconsider laid on the table Agreed to without objection. (July 17, 2025)
Keywords (occurrence):
artificial intelligence (1)
show keywords in context
Description: An original bill to authorize appropriations for fiscal year 2026 for military activities of the Department of Defense, for military construction, and for defense activities of the Department of Energy, to prescribe military personnel strengths for such fiscal year, and for other purposes.
Summary: The National Defense Authorization Act for Fiscal Year 2026 authorizes military funding, personnel levels, construction projects, and various defense activities for the Department of Defense and Energy.
Collection: Legislation
Status date: July 15, 2025
Status: Introduced
Primary sponsor: Roger Wicker
(sole sponsor)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 115. (July 15, 2025)
Keywords (occurrence):
artificial intelligence (104)
machine learning (20)
automated (24)
deepfake (1)
show keywords in context
Description: An original bill to authorize appropriations for fiscal year 2026 for military activities of the Department of Defense, for military construction, and for defense activities of the Department of Energy, to prescribe military personnel strengths for such fiscal year, and for other purposes.
Summary: The Atomic Energy Testing Liability Act Military Construction Authorization Act for FY 2026 authorizes appropriations for military activities, construction, and defense programs, establishing military personnel strength for the fiscal year.
Collection: Legislation
Status date: July 15, 2025
Status: Introduced
Primary sponsor: Roger Wicker
(sole sponsor)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 115. (July 15, 2025)
Keywords (occurrence):
artificial intelligence (104)
machine learning (20)
automated (24)
deepfake (1)
show keywords in context
Description: An Act providing for high impact data centers; establishing the Office of Transformation and Opportunity and the Artificial Intelligence, Data Center and Emerging Technology Regulatory Sandbox Program; and providing for powers and duties of office.
Summary: This bill establishes the Office of Transformation and Opportunity in Pennsylvania to oversee high-impact data centers and a regulatory sandbox program for artificial intelligence and emerging technologies, facilitating innovation while ensuring consumer protection.
Collection: Legislation
Status date: July 14, 2025
Status: Introduced
Primary sponsor: Greg Rothman
(2 total sponsors)
Last action: Referred to COMMUNICATIONS AND TECHNOLOGY (July 14, 2025)
Category:
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards
Hybrid, Emerging, and Unclassified (see reasoning)
Keywords (occurrence): artificial intelligence (31) show keywords in context
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
The text explicitly addresses the establishment of an Artificial Intelligence program and discusses the impact of AI through the regulatory sandbox program. It provides definitions and reference to AI's applications, uses, and impacts on business and consumer protection. Given these elements, the legislation is quite relevant under categories that address societal impacts of AI and governance concerning data and systems.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards
Hybrid, Emerging, and Unclassified (see reasoning)
This legislation is primarily related to governmental functions regarding artificial intelligence applications, suggesting strong implications for public services and cooperative efforts between various agencies. The artificial intelligence regulatory sandbox essentially seeks to facilitate innovation, suggesting it could significantly impact various sectors as it promotes the testing of AI products particularly within state frameworks. However, it does not focus directly on specific industries or sectors like healthcare or judicial matters, making it less relevant to those categories.
Keywords (occurrence): artificial intelligence (31) show keywords in context
Description: Campaign Finance Modernization Amendment Act of 2025
Summary: The Campaign Finance Modernization Amendment Act of 2025 aims to enhance transparency and efficiency in campaign finance by increasing reporting requirements, addressing deepfake regulations, and improving support for campaign operations.
Collection: Legislation
Status date: July 14, 2025
Status: Introduced
Primary sponsor: Charles Allen
(4 total sponsors)
Last action: Referred to Committee on Executive Administration and Labor (Sept. 17, 2025)
Keywords (occurrence):
artificial intelligence (6)
deepfake (2)
show keywords in context
Description: Autonomous Vehicles Amendment Act of 2025
Summary: The Autonomous Vehicles Amendment Act of 2025 updates regulations for operating fully autonomous vehicles in Washington, D.C., establishing a framework for their operation, registration, and commercial use while ensuring public safety and compliance with existing laws.
Collection: Legislation
Status date: July 11, 2025
Status: Introduced
Primary sponsor: Kenyan McDuffie
(sole sponsor)
Last action: Referred to Committee on Transportation and the Environment (July 14, 2025)
Keywords (occurrence):
automated (21)
autonomous vehicle (38)
show keywords in context
Description: Relative to classified workers.
Summary: The bill urges federal legislation to secure rights for classified workers in schools, ensuring stable employment, competitive wages, health care access, and safe working conditions while emphasizing their vital role in education.
Collection: Legislation
Status date: July 10, 2025
Status: Passed
Primary sponsor: Sabrina Cervantes
(63 total sponsors)
Last action: Chaptered by Secretary of State. Res. Chapter 141, Statutes of 2025. (July 10, 2025)
Keywords (occurrence):
artificial intelligence (1)
show keywords in context
Description: To enact section 9.89 of the Revised Code to limit further regulation of certain computational systems, require risk management policies for AI-controlled critical infrastructure, and to name this act the Ohio Right to Compute Act.
Summary: The Ohio Right to Compute Act limits regulations on computational systems, mandates risk management for AI in critical infrastructure, and safeguards lawful computational resource use, emphasizing responsible AI deployment.
Collection: Legislation
Status date: July 7, 2025
Status: Introduced
Primary sponsor: Tex Fischer
(2 total sponsors)
Last action: Introduced (July 7, 2025)
Keywords (occurrence):
artificial intelligence (7)
machine learning (2)
show keywords in context
Description: Enacts the "New York fundamental artificial intelligence requirements in (FAIR) news act"; provides requirements for fairness in disclosures to news media workers, news media consumers, oversight of AI systems, and workplace protections for news media workers.
Summary: The "FAIR News Act" aims to ensure fairness and transparency regarding AI use in news media by mandating disclosures to workers and consumers, establishing oversight of AI systems, and protecting journalists' rights.
Collection: Legislation
Status date: July 7, 2025
Status: Introduced
Primary sponsor: Patricia Fahy
(sole sponsor)
Last action: REFERRED TO RULES (July 7, 2025)
Keywords (occurrence):
artificial intelligence (12)
automated (4)
show keywords in context
Description: To provide for reconciliation pursuant to title II of H. Con. Res. 14.
Summary: The FEHB Protection Act of 2025 aims to revise various federal programs, enhance military and disaster assistance, implement tax reforms, and modify agricultural, environmental, and energy policies to support middle-class families and American businesses.
Collection: Legislation
Status date: July 4, 2025
Status: Passed
Primary sponsor: Jody Arrington
(sole sponsor)
Last action: Became Public Law No: 119-21. (July 4, 2025)
Keywords (occurrence):
artificial intelligence (11)
machine learning (3)
automated (1)
show keywords in context
Description: A bill to improve the resilience of critical supply chains, and for other purposes.
Summary: The Promoting Resilient Supply Chains Act of 2025 aims to enhance the resilience of U.S. critical supply chains by assessing vulnerabilities, encouraging domestic production, and coordinating government responses to supply chain shocks.
Collection: Legislation
Status date: July 3, 2025
Status: Engrossed
Primary sponsor: Maria Cantwell
(4 total sponsors)
Last action: Held at the desk. (July 3, 2025)
Keywords (occurrence):
artificial intelligence (1)
automated (1)
Description: ELECTIONS -- DECEPTIVE AND FRAUDULENT SYNTHETIC MEDIA IN ELECTION COMMUNICATIONS - Creates the deceptive and fraudulent synthetic media in election communications chapter to regulate the use of synthetic media in elections.
Summary: The bill establishes regulations on the use of deceptive synthetic media in election communications, prohibiting its distribution within 90 days of an election unless clearly disclosed as manipulated. It aims to protect electoral integrity.
Collection: Legislation
Status date: July 2, 2025
Status: Passed
Primary sponsor: Jacquelyn Baginski
(sole sponsor)
Last action: Signed by Governor (July 2, 2025)
Keywords (occurrence):
artificial intelligence (1)
synthetic media (15)
show keywords in context
Description: This Joint Resolution directing the Artificial Intelligence Commission to work in collaboration with the Secretary of State to create a regulatory sandbox framework for the testing of innovative and novel technologies that utilize agentic artificial intelligence.
Summary: This bill directs the Artificial Intelligence Commission to collaborate with the Secretary of State to develop a regulatory sandbox framework for testing innovative technologies using agentic AI, addressing legal and ethical concerns.
Collection: Legislation
Status date: June 30, 2025
Status: Enrolled
Primary sponsor: Krista Griffith
(5 total sponsors)
Last action: Passed By Senate. Votes: 21 YES (June 30, 2025)
Category:
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Hybrid, Emerging, and Unclassified (see reasoning)
Keywords (occurrence): artificial intelligence (6) show keywords in context
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
The text explicitly pertains to the collaboration between the Artificial Intelligence Commission and the Secretary of State to establish a regulatory sandbox framework for testing agentic AI technologies. This directly aligns with social impacts such as ensuring responsible AI usage and regulatory oversight which relates to societal concerns and the ethical implications of AI in governance, thus making Social Impact highly relevant. The mention of corporate governance and legal considerations indicates a link to Data Governance, especially regarding compliance and safety. System Integrity is also relevant due to the need for oversight and regulation in AI implementation, ensuring that AI systems operate safely and transparently. Robustness is moderately relevant as it touches upon the need for effective testing frameworks but lacks specifics on performance metrics or compliance benchmarks.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Hybrid, Emerging, and Unclassified (see reasoning)
The text relates to multiple sectors. It predominantly impacts Government Agencies and Public Services as it involves the creation of regulatory frameworks for state technology deployment. It also has implications for Private Enterprises, Labor, and Employment by addressing the corporate governance aspects of AI. While it touches on the need for governance and accountability, it does not directly reference politics, healthcare, or judicial systems, making those sectors less relevant. Similarly, it does not align closely with Academic and Research Institutions or International Cooperation and Standards, leading to a lower score across those sectors. Nonetheless, it is applicable to the hybrid or emerging technology context due to the innovative nature of agentic AI.
Keywords (occurrence): artificial intelligence (6) show keywords in context
Description: Establishes certain data privacy protection requirements for consumer health data, health care providers, and patients.
Summary: This bill establishes data privacy requirements for consumer health data, mandating consent from consumers for collection, sharing, and deletion, aiming to protect patients' personal health information in New Jersey.
Collection: Legislation
Status date: June 30, 2025
Status: Introduced
Primary sponsor: Raj Mukherji
(sole sponsor)
Last action: Introduced in the Senate, Referred to Senate Health, Human Services and Senior Citizens Committee (June 30, 2025)
Category:
Societal Impact
Data Governance (see reasoning)
Sector:
Government Agencies and Public Services
Healthcare (see reasoning)
Keywords (occurrence): machine learning (1) show keywords in context
Societal Impact
Data Governance (see reasoning)
This text primarily focuses on the protection of consumer health data and related privacy requirements. Within the text, certain aspects of data governance are explicitly mentioned, such as the handling of biometric data, consumer consent, data collection, and processing requirements involving algorithms and machine learning techniques. The emphasis on managing consumer health data tightly aligns with data governance considerations, as it addresses the secure and ethical collection, sharing, and processing of health-related information, including the implications of algorithmic decision-making in representing this data. However, there are also implicit implications for social impact since biases and fairness could arise from automated data processing. The relevance to system integrity and robustness is less pronounced, as the text does not delve deeply into security measures or performance benchmarks for AI systems, but rather focuses on legal mandates for data handling. Therefore, there will be a stronger emphasis on data governance due to the explicit connections made in the text related to the management of health data and algorithms used in this context.
Sector:
Government Agencies and Public Services
Healthcare (see reasoning)
The legislation is highly relevant to the Healthcare sector, as it directly outlines the rights and privacy protections for consumer health data and specifies the obligations of healthcare providers and entities. It details consent protocols, data privacy, and consumer rights which are critical for healthcare applications. While there may be implications for government agencies, particularly concerning how they handle health data in compliance with privacy standards, the direct focus here remains primarily on healthcare providers and consumers. Other sectors, like Politics and Elections, are not relevant, as this legislation does not address electoral processes or AI within that context. The relevance to Academic and Research Institutions may be considered relevant but is less direct compared to healthcare. Therefore, the score for Healthcare is high due to the clear applicability, and lower scores are given to other sectors as their relevance is either minimal or not applicable.
Keywords (occurrence): machine learning (1) show keywords in context
Description: To amend the Food, Agriculture, Conservation, and Trade Act of 1990 to require the Secretary of Agriculture to recognize centers of excellence, and for other purposes.
Summary: The American Agricultural Security Research Act of 2025 mandates the recognition of centers of excellence by the Secretary of Agriculture for advancing research and education in various agricultural fields, enhancing food security, and addressing emerging threats.
Collection: Legislation
Status date: June 26, 2025
Status: Introduced
Primary sponsor: Don Bacon
(sole sponsor)
Last action: Referred to the House Committee on Agriculture. (June 26, 2025)
Keywords (occurrence):
artificial intelligence (1)
show keywords in context
Description: Joint Order, to Carry Over Certain Matters from the First Special Session of the 132nd Legislature
Summary: The bill carries over various legislative matters from the First Special Session of the 132nd Legislature for consideration in future sessions, addressing topics such as transportation, healthcare, taxation, and housing.
Collection: Legislation
Status date: June 25, 2025
Status: Introduced
Primary sponsor: Teresa Pierce
(sole sponsor)
Last action: In concurrence. ORDERED SENT FORTHWITH. (June 25, 2025)
Keywords (occurrence):
artificial intelligence (1)
automated (1)
Description: A bill to direct the Federal Trade Commission to require impact assessments of automated decision systems and augmented critical decision processes, and for other purposes.
Summary: The Algorithmic Accountability Act requires the Federal Trade Commission to mandate impact assessments for automated decision systems and critical decision processes, ensuring transparency and consumer protection.
Collection: Legislation
Status date: June 25, 2025
Status: Introduced
Primary sponsor: Ron Wyden
(8 total sponsors)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (June 25, 2025)
Category:
Societal Impact
Data Governance
System Integrity (see reasoning)
Sector:
Government Agencies and Public Services
Judicial system (see reasoning)
Keywords (occurrence): artificial intelligence (3) machine learning (1) automated (44) show keywords in context
Societal Impact
Data Governance
System Integrity (see reasoning)
The text of the bill primarily focuses on the impact assessments required for automated decision systems and augmented critical decision processes, which relates strongly to accountability and ethical considerations in the deployment of AI technologies. As it emphasizes the consequences these systems have on consumers and society, it is highly relevant to the Social Impact category. The Data Governance category is also relevant because the bill mandates that covered entities maintain documentation of impact assessments, thus ensuring the responsible management of data used in these systems. System Integrity is addressed as well since the bill seeks to enforce compliance with regulations designed to ensure transparency and security in the implementation of these AI systems. Lastly, Robustness is somewhat addressed through the implications of conducting impact assessments and adhering to standards, but not directly covering benchmarks or certifications mentioned in this category description. Overall, the scores reflect strong relevance to Social Impact and Data Governance while noting moderate relevance in System Integrity and lower relevance in Robustness.
Sector:
Government Agencies and Public Services
Judicial system (see reasoning)
The bill relates primarily to Government Agencies and Public Services as it directs the Federal Trade Commission, a government entity, to enforce the new regulations on automated decision systems. There are also implications for the Judicial System, particularly regarding consumer rights and protections based on automated decisions which could affect legal outcomes. The text does not directly pertain to healthcare, politics, academic settings, or other specified sectors, as the focus is primarily on automated decision systems rather than their application in specific sectors like healthcare or politics. Given that, Government Agencies and Public Services ranks highest for its direct implications and regulatory enforcement, whereas the Judicial System has moderate relevance due to concerns around legal impacts from automated decisions.
Keywords (occurrence): artificial intelligence (3) machine learning (1) automated (44) show keywords in context
Description: A bill to direct the Federal Trade Commission to require impact assessments of automated decision systems and augmented critical decision processes, and for other purposes.
Summary: The Algorithmic Accountability Act of 2025 mandates the Federal Trade Commission to require impact assessments for automated decision systems, ensuring consumer protection and accountability in significant decision-making processes by certain entities.
Collection: Legislation
Status date: June 25, 2025
Status: Introduced
Primary sponsor: Ron Wyden
(8 total sponsors)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (June 25, 2025)
Category:
Societal Impact
Data Governance
System Integrity (see reasoning)
Sector:
Government Agencies and Public Services
Judicial system (see reasoning)
Keywords (occurrence): artificial intelligence (3) machine learning (1) automated (44) show keywords in context
Societal Impact
Data Governance
System Integrity (see reasoning)
The text of the bill primarily focuses on the impact assessments required for automated decision systems and augmented critical decision processes, which relates strongly to accountability and ethical considerations in the deployment of AI technologies. As it emphasizes the consequences these systems have on consumers and society, it is highly relevant to the Social Impact category. The Data Governance category is also relevant because the bill mandates that covered entities maintain documentation of impact assessments, thus ensuring the responsible management of data used in these systems. System Integrity is addressed as well since the bill seeks to enforce compliance with regulations designed to ensure transparency and security in the implementation of these AI systems. Lastly, Robustness is somewhat addressed through the implications of conducting impact assessments and adhering to standards, but not directly covering benchmarks or certifications mentioned in this category description. Overall, the scores reflect strong relevance to Social Impact and Data Governance while noting moderate relevance in System Integrity and lower relevance in Robustness.
Sector:
Government Agencies and Public Services
Judicial system (see reasoning)
The bill relates primarily to Government Agencies and Public Services as it directs the Federal Trade Commission, a government entity, to enforce the new regulations on automated decision systems. There are also implications for the Judicial System, particularly regarding consumer rights and protections based on automated decisions which could affect legal outcomes. The text does not directly pertain to healthcare, politics, academic settings, or other specified sectors, as the focus is primarily on automated decision systems rather than their application in specific sectors like healthcare or politics. Given that, Government Agencies and Public Services ranks highest for its direct implications and regulatory enforcement, whereas the Judicial System has moderate relevance due to concerns around legal impacts from automated decisions.
Keywords (occurrence): artificial intelligence (3) machine learning (1) automated (44) show keywords in context
Description: To direct the Department of Energy and the National Oceanic and Atmospheric Administration to conduct collaborative research in order to advance numerical weather and climate prediction in the United States, and for other purposes.
Summary: The Advanced Weather Model Computing Development Act mandates collaboration between the Department of Energy and NOAA to enhance weather and climate prediction using advanced computing technologies, including AI and quantum computing.
Collection: Legislation
Status date: June 25, 2025
Status: Introduced
Primary sponsor: Max Miller
(2 total sponsors)
Last action: Referred to the Committee on Natural Resources, and in addition to the Committee on Science, Space, and Technology, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned. (June 25, 2025)
Keywords (occurrence):
artificial intelligence (3)
machine learning (3)
show keywords in context
Description: To direct the Department of Energy and the National Oceanic and Atmospheric Administration to conduct collaborative research in order to advance numerical weather and climate prediction in the United States, and for other purposes.
Summary: The bill directs the Department of Energy and NOAA to collaborate on research aimed at enhancing weather and climate prediction capabilities in the U.S., utilizing advanced computing and artificial intelligence.
Collection: Legislation
Status date: June 25, 2025
Status: Introduced
Primary sponsor: Max Miller
(2 total sponsors)
Last action: Referred to the Committee on Natural Resources, and in addition to the Committee on Science, Space, and Technology, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned. (June 25, 2025)
Keywords (occurrence):
artificial intelligence (3)
machine learning (3)
show keywords in context