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Legislation
About these categories

Social Impact: encompasses legislation that specifically addresses the impact of AI on society and individuals, including but not limited to; reducing the carbon footprint of AI systems, holding system developers accountable for the outputs of these systems, the establishment of new fairness and bias metrics to guard against AI-driven discrimination, the use of AI by minors, consumer protections for AI products, regulations that address psychological, physical, or material harm caused by interactions with AI systems, and the role of AI in misinformation, public discourse, and the erosion of trust in public institutions.

Data Governance: encompasses legislation that specifically addresses the secure and accurate collection and management of data within AI systems, including but not limited to; mandates for rectifying inaccuracies in AI data sets, mandates for ensuring AI data sets are free from biases, regulations that address intellectual property concerns with the unauthorized use of protected material in AI data sets, and requirements for data encryption, data anonymization, controlled access, and compliance with consumer privacy laws.

System Integrity: encompasses legislation that specifically addresses the inherent security, transparency, and control of AI systems, including but not limited to; mandates for human intervention and oversight in AI processes, standards for the interoperability of AI systems in essential services, and the implementation of security measures such as threat modeling, penetration testing, and incident response.

Robustness: encompasses legislation that specifically addresses the development and adoption of new benchmarks for AI performance, including but not limited to; the certification of AI systems against new benchmarks, ensuring compliance with international standards, requirements for auditing and transparent reporting to verify continuous regulatory compliance, and the creation of specialized oversight bodies.

About these sectors

Politics and Elections: encompasses legislation that specifically addresses the use and regulation of AI in political campaigns, electoral processes, and related legislative activities.

Government Agencies and Public Services: encompasses legislation that specifically addresses the use and regulation of AI by state and federal government agencies, as well as AI applications in the delivery of public services and enhancing government operations.

Judicial System: encompasses legislation that specifically addresses the use and regulation of AI by judicial and legal systems, including but not limited to the use of AI in case management and legal decision making.

Healthcare: encompasses legislation that specifically addresses the use and regulation of AI in healthcare settings, including but not limited to AI applications within hospitals and clinics, the development of AI-enabled diagnostic tools and related medical technologies, and the management of medical data.

Private Enterprises, Labor, and Employment: encompasses legislation that specifically addresses the use and regulation of AI in business environments, ensuring fair competition, and the effects of AI on labor markets, employment practices, and corporate governance.

Academic and Research Institutions: encompasses legislation that specifically addresses the use and regulation of AI in educational and research contexts.

International Cooperation and Standards: encompasses laws and agreements that address international cooperation on AI development, use, and regulation, including but not limited to multinational standards, cross-border data practices, and global ethical guidelines for AI.

Nonprofits and NGOs: encompasses legislation that specifically addresses the use and regulation of AI by nonprofits and non-governmental organizations and institutions.

Hybrid, Emerging, and Unclassified: encompasses legislation that doesn't neatly fit into other categories, as well as the application of AI in hybrid or emerging sectors.

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5040 results:


Texas HR795: Recognizing April 14, 2025, as Rice University Day at the State Capitol.

Description: Recognizing April 14, 2025, as Rice University Day at the State Capitol.
Summary: The bill designates April 14, 2025, as Rice University Day at the Texas State Capitol to honor the university's contributions to education and research in Texas.
Collection: Legislation
Status date: April 15, 2025
Status: Passed
Primary sponsor: Ann Johnson (sole sponsor)
Last action: Reported enrolled (April 15, 2025)

Keywords (occurrence): artificial intelligence (1) machine learning (1) show keywords in context

United States SB1396: Content Origin Protection and Integrity from Edited and Deepfaked Media Act of 2025

Description: A bill to require transparency with respect to content and content provenance information, to protect artistic content, and for other purposes.
Summary: The Content Origin Protection and Integrity from Edited and Deepfaked Media Act of 2025 mandates transparency in content creation, protecting artistic works and establishing standards for synthetic media provenance. It aims to enhance the integrity and authenticity of digital content.
Collection: Legislation
Status date: April 9, 2025
Status: Introduced
Primary sponsor: Maria Cantwell (3 total sponsors)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (April 9, 2025)

Keywords (occurrence): artificial intelligence (11) deepfake (1) algorithm (1) show keywords in context

United States SB1399: Health Tech Investment Act

Description: A bill to amend title XVIII of the Social Security Act to ensure appropriate payment of certain algorithm-based healthcare services under the Medicare program.
Summary: The Health Tech Investment Act amends Medicare payment policies to ensure appropriate compensation for algorithm-based healthcare services, promoting the integration of advanced technology in healthcare delivery.
Collection: Legislation
Status date: April 9, 2025
Status: Introduced
Primary sponsor: Mike Rounds (3 total sponsors)
Last action: Read twice and referred to the Committee on Finance. (April 9, 2025)

Keywords (occurrence): artificial intelligence (1) machine learning (1) algorithm (7) show keywords in context

INTRODUCTION OF BILLS AND JOINT RESOLUTIONS

Summary: The bill includes the introduction of several legislative proposals addressing issues like healthcare, election security, and tax reform, aimed at improving community services, fiscal policies, and government operations.
Collection: Congressional Record
Status date: Dec. 19, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (2) show keywords in context

Alabama HB283: Data privacy, processing of data regulated, consumer actions related to data authorized

Description: Data privacy, processing of data regulated, consumer actions related to data authorized
Summary: The Alabama Personal Data Protection Act authorizes consumers to manage their personal data and regulates how entities process such data, addressing privacy and consent requirements.
Collection: Legislation
Status date: April 22, 2025
Status: Engrossed
Primary sponsor: Mike Shaw (sole sponsor)
Last action: Pending Senate Fiscal Responsibility and Economic Development (April 24, 2025)

Keywords (occurrence): artificial intelligence (2) machine learning (1) automated (5) algorithm (2) show keywords in context

ADDITIONAL COSPONSORS

Summary: The bill outlines the addition of names as cosponsors for various Senate bills, addressing issues such as commercial vehicle parking, Homeland Security, mercury monitoring, LGBTQI rights, financial assistance programs, and healthcare regulations.
Collection: Congressional Record
Status date: Dec. 19, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (3) show keywords in context

New York S07599: Regulates automated decision-making by government agencies; requires agencies to conduct impact assessments; requires disclosure to the legislature of automated decision-making systems utilized by governmental agencies.

Description: Regulates automated decision-making by government agencies; requires agencies to conduct impact assessments; requires disclosure to the legislature of automated decision-making systems utilized by governmental agencies.
Summary: The bill regulates automated decision-making by New York government agencies, requiring impact assessments and legislative disclosures to ensure transparency and mitigate risks to individuals' rights and welfare.
Collection: Legislation
Status date: April 23, 2025
Status: Introduced
Primary sponsor: Kristen Gonzalez (sole sponsor)
Last action: REFERRED TO INTERNET AND TECHNOLOGY (April 23, 2025)

Keywords (occurrence): artificial intelligence (1) machine learning (1) automated (38) show keywords in context

AMENDMENTS SUBMITTED AND PROPOSED

Summary: The bill proposes amendments related to wildlife conservation funding and adjustments to Social Security provisions, including repealing pension offsets and making changes to benefits calculations for public employees.
Collection: Congressional Record
Status date: Dec. 17, 2024
Status: Issued
Source: Congress

Keywords (occurrence): automated (3) show keywords in context

LEGISLATIVE SESSION

Summary: The Wildlife Innovation and Longevity Driver Reauthorization Act aims to reauthorize wildlife habitat and conservation programs, reflecting bipartisan efforts to enhance environmental protections while supporting related initiatives.
Collection: Congressional Record
Status date: Dec. 18, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (3) show keywords in context

REPORTS OF COMMITTEES

Summary: The bill outlines initiatives related to artificial intelligence (AI), including establishing standards, promoting innovation, and conducting public awareness campaigns about AI's risks and benefits.
Collection: Congressional Record
Status date: Dec. 18, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (4) show keywords in context

TEXT OF AMENDMENTS

Summary: The bill amends wildlife habitat conservation and proposes military spending reductions, while also eliminating pension offset provisions affecting Social Security benefits for certain public employees.
Collection: Congressional Record
Status date: Dec. 17, 2024
Status: Issued
Source: Congress

Keywords (occurrence): automated (3) show keywords in context

DETECTION EQUIPMENT AND TECHNOLOGY EVALUATION TO COUNTER THE THREAT OF FENTANYL AND XYLAZINE ACT OF 2024

Summary: The DETECT Fentanyl and Xylazine Act of 2024 mandates the Department of Homeland Security to enhance drug detection technologies and collaboration with the Drug Enforcement Administration, addressing the growing threats from fentanyl and xylazine.
Collection: Congressional Record
Status date: Dec. 18, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (3) machine learning (1) show keywords in context

Oklahoma SB224: Student data; creating the Oklahoma Education and Workforce Statewide Longitudinal Data System. Effective date. Emergency.

Description: Student data; creating the Oklahoma Education and Workforce Statewide Longitudinal Data System. Effective date. Emergency.
Summary: The bill establishes the Oklahoma Education and Workforce Efficiency Data System to securely share and analyze educational and workforce data, aiming to improve outcomes and safeguard taxpayer interests.
Collection: Legislation
Status date: March 26, 2025
Status: Engrossed
Primary sponsor: Ally Seifried (3 total sponsors)
Last action: Coauthored by Representative(s) Waldron (April 17, 2025)

Keywords (occurrence): artificial intelligence (1) machine learning (1) show keywords in context

Maryland HB956: Consumer Protection - Workgroup on Artificial Intelligence Implementation

Description: Establishing the Workgroup on Artificial Intelligence Implementation; requiring the Workgroup to monitor and make recommendations related to the regulation of artificial intelligence, consumer protection, current private sector use of artificial intelligence, enforcement authority for the Office of the Attorney General's Office of Consumer Protection, and impact in the determination of government benefits; and requiring the Workgroup to make its recommendations to certain committees of the Ge...
Summary: The bill establishes a Workgroup on Artificial Intelligence Implementation in Maryland to monitor AI issues related to consumer protection, providing recommendations and oversight on its impact on individuals and industries.
Collection: Legislation
Status date: April 22, 2025
Status: Passed
Primary sponsor: C.T. Wilson (sole sponsor)
Last action: Approved by the Governor - Chapter 105 (April 22, 2025)

Category:
Societal Impact
Data Governance (see reasoning)

The text outlines the establishment of a Workgroup on Artificial Intelligence Implementation that specifically focuses on consumer protection, among other issues related to AI, like privacy rights and the regulation of AI impacting individuals' livelihoods. Given the emphasis on consumer protection and the regulation of AI, this text touches on societal consequences and consumer rights associated with AI technologies. Therefore, it is very relevant to the 'Social Impact' category. The mention of monitoring AI use and ensuring protections aligns well with aspects of 'Data Governance,' particularly regarding privacy rights. However, it does not provide detailed mechanisms for data management or accuracy, which diminishes its relevance to 'Data Governance' compared to its direct implications on societal impact. 'System Integrity' is less relevant here as the text does not detail security measures or systems oversight, while 'Robustness' has no related mentions, thus scoring lower in relevance across those two categories.


Sector:
Government Agencies and Public Services
Healthcare
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Nonprofits and NGOs (see reasoning)

The text pertains significantly to 'Government Agencies and Public Services' as it discusses the establishment of a workgroup that involves multiple state representatives and focuses directly on regulatory aspects of AI. It is also tied to 'Private Enterprises, Labor, and Employment' through its examination of AI's impact on employment and privacy rights of individuals in the context of consumer protections. The other sectors, while they may have indirect connections, do not engage directly with the content of the workgroup's purpose as explicitly outlined in this text. Therefore, the scoring reflects this focus.


Keywords (occurrence): artificial intelligence (5) machine learning (1) show keywords in context

:

Description:
Summary:
Collection:
Status date:
Status:
Primary sponsor: ( total sponsors)
Source:
Last action: ()

Category: None (see reasoning)


Sector: None (see reasoning)


Keywords (occurrence): artificial intelligence () machine learning () neural network () deep learning () automated () deepfake () synthetic media () large language model () foundation model () chatbot () recommendation system () algorithm () autonomous vehicle ()

RECOGNIZING THE INTRODUCTION OF THE ORGAN DONATION REFERRAL IMPROVEMENT ACT

Summary: The Organ Donation Referral Improvement Act aims to modernize the organ donation referral process by promoting automated electronic systems, thereby improving efficiency and increasing the number of organ transplants to save lives.
Collection: Congressional Record
Status date: Jan. 9, 2025
Status: Issued
Source: Congress

Category:
Societal Impact
Data Governance
System Integrity (see reasoning)

The text discusses the Organ Donation Referral Improvement Act, which focuses on the automation of the organ donor referral process in healthcare. The mention of 'automated electronic organ donor referrals' highlights the relevance to AI, particularly in how such systems can improve efficiency and accuracy in organ donation processes. While the text does not explicitly mention advanced AI technologies like machine learning or neural networks, the concept of automating a process infers the use of algorithms that may be AI-driven, justifying a moderate level of relevance in certain categories.


Sector:
Government Agencies and Public Services
Healthcare (see reasoning)

The act is specifically pertinent to healthcare by focusing on how automated systems can improve organ donation processes. The reference to automating tasks typically performed by hospital staff implies a significant use of AI, making the healthcare sector highly relevant. There's no mention of political campaigns, judicial systems, labor markets, or academic contexts, which may indicate lesser relevance for those sectors. However, given that it aims to streamline governmental health services, there is some mention of its implications in how government agencies operate.


Keywords (occurrence): automated (2) show keywords in context

United States HR357: Of inquiry requesting the President and directing the Secretary of State to transmit to the House of Representatives any record created on or after January 20, 2025, under the control of the President or the Secretary, respectively, relating to international agreements between the United States o...

Description: Of inquiry requesting the President and directing the Secretary of State to transmit to the House of Representatives any record created on or after January 20, 2025, under the control of the President or the Secretary, respectively, relating to international agreements between the United States of America and El Salvador and the removal of individuals from the United States to El Salvador and subsequent detentions of such individuals.
Summary: The bill requests that the President and Secretary of State provide records related to international agreements with El Salvador, specifically concerning individual removals and detentions, created after January 20, 2025.
Collection: Legislation
Status date: April 29, 2025
Status: Introduced
Primary sponsor: Joaquin Castro (sole sponsor)
Last action: Referred to the House Committee on Foreign Affairs. (April 29, 2025)

Category:
Societal Impact (see reasoning)

The text contains one explicit mention of 'artificial intelligence large language model conversation transcripts.' This relevance extends to the category of Social Impact, where the implications of AI in international agreements and its role in transparency concerning government activities can raise ethical concerns. However, the text does not strongly engage with fairness, bias, or consumer protections that directly impact individuals on a broader societal level. For Data Governance, the mention of AI's role suggests considerations of data integrity and management but lacks depth, particularly around accurate data usage or security requirements. System Integrity is not significantly supported because while it addresses the need for transparency in communication records, it does not provide concrete measures or mandates for system security and oversight. Finally, Robustness is not relevant as it does not involve benchmarks, audits, or performance-related standards for AI systems. Overall, the categories display varied relevance based on this single mention of AI within the document.


Sector:
Government Agencies and Public Services (see reasoning)

The text primarily focuses on governmental operations and international relations regarding agreements with El Salvador, strongly embedding itself within the realm of Government Agencies and Public Services due to the request for records related to excessive governmental actions regarding immigration and international agreements. It does not address the use of AI in the context of political campaigns or electoral processes, thus receiving a low score for Politics and Elections. The Judicial System is similarly not engaged, as the text does not discuss AI's role in legal decisions. It does not clearly mention AI applications in healthcare, private enterprises, or research institutions, so those sectors receive a score of 1 or 2. The document does not delve into issues of international cooperation on AI standards or the operational space for NGOs, resulting in low scores for those sectors as well. Overall, the only strong association is with Government Agencies and Public Services, which justifies a moderate relevance score.


Keywords (occurrence): artificial intelligence (1) large language model (1) show keywords in context

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill introduces multiple public bills and resolutions addressing various issues, including securities regulations, veterans' affairs, immigration enforcement, and funding prohibitions, aimed at legislative reforms and studies.
Collection: Congressional Record
Status date: Jan. 7, 2025
Status: Issued
Source: Congress

Category: None (see reasoning)

The text does not strongly address the broader societal implications, ethical considerations, or the specific impact of AI systems on individuals or communities. The only relevant part is the mention of 'artificial intelligence and machine learning technologies can qualify as a practitioner eligible to prescribe drugs,' which highlights a potential application of AI in healthcare. However, this does not encompass the broader societal impacts typically included in the Social Impact category. There are no discussions about the carbon footprint, accountability for AI outputs, fairness metrics, or consumer protections relevant to AI in society. Therefore, this category is scored a 2.


Sector:
Healthcare (see reasoning)

The text mentions 'artificial intelligence and machine learning technologies' in the context of healthcare, specifically regarding their eligibility to prescribe drugs. This connection places the text moderately relevant in the Healthcare sector, but it does not extend to other sectors such as Politics and Elections or Government Agencies as there are no explicit references to AI's role or implications in those areas. Thus, Healthcare is scored a 3, while all other sectors are scored a 1.


Keywords (occurrence): artificial intelligence (1) machine learning (1) show keywords in context

RECOGNIZING DR. DIMITRI KUSNEZOV

Summary: The bill recognizes Dr. Dimitri Kusnezov for his 23 years of service, highlighting his contributions to innovation in technology and national security while serving in various governmental roles.
Collection: Congressional Record
Status date: Jan. 9, 2025
Status: Issued
Source: Congress

Category: None (see reasoning)

The text mentions artificial intelligence in relation to Dr. Dimitri Kusnezov's achievements and roles. As he has led initiatives related to AI technologies at the Department of Homeland Security and the Department of Energy, this suggests a strong implication of AI's relevance to various governance and social considerations. However, the text does not delve deeply into the impact of AI on society, data governance, system integrity, or robustness, but rather highlights an individual’s contributions. Thus, while relevant, it does not strongly connect to comprehensive legislative categories regarding AI.


Sector:
Government Agencies and Public Services (see reasoning)

The text acknowledges Dr. Kusnezov's work relating to AI within governmental contexts, particularly at the Department of Homeland Security and the Department of Energy. However, it does not explicitly address the use or regulation of AI within specific sectors such as Politics and Elections, Government Agencies and Public Services, or other sectors. The mention of AI is more about individual contributions rather than sector-specific applications or regulations, leading to a low relevance across all sectors.


Keywords (occurrence): artificial intelligence (2) show keywords in context

AUTHORIZING THE CLERK TO INFORM THE PRESIDENT OF THE ELECTION OF THE SPEAKER AND THE CLERK

Summary: The bill authorizes the Clerk of the House of Representatives to inform the President about the election of the Speaker and Clerk for the 119th Congress.
Collection: Congressional Record
Status date: Jan. 3, 2025
Status: Issued
Source: Congress

Category: None (see reasoning)

The text discusses legislative resolutions pertaining to the election of House officials and the rules governing the operations of the House of Representatives. There are no mentions or discussions regarding Artificial Intelligence, data management, system integrity, or robustness in AI systems. Therefore, none of the categories have a relevant connection to the content of the text.


Sector: None (see reasoning)

The content does not address the uses or regulations of AI across any of the defined sectors, including politics and elections, government services, or any other relevant fields. The text solely focuses on legislative matters specific to the operation of the House of Representatives, with no mention of AI's impact or role.


Keywords (occurrence): artificial intelligence (3) show keywords in context
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