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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:


EXECUTIVE COMMUNICATIONS, ETC.

Summary: The bill involves a series of executive communications, including regulatory updates and reports from various federal agencies, which are referred to relevant congressional committees for consideration.
Collection: Congressional Record
Status date: Jan. 22, 2025
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (1)

PUBLICATION OF COMMITTEE RULES

Summary: The bill outlines the rules for the House Armed Services Committee for the 119th Congress, detailing meeting schedules, subcommittee jurisdictions, and public accessibility of committee proceedings. Its purpose is to ensure transparency and orderly conduct within the committee's operations.
Collection: Congressional Record
Status date: Jan. 22, 2025
Status: Issued
Source: Congress

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

Pennsylvania SB293: Providing for a report on artificial intelligence in the workforce; and imposing duties on the Department of Labor and Industry and Department of Community and Economic Development.

Description: An Act providing for a report on artificial intelligence in the workforce; and imposing duties on the Department of Labor and Industry and Department of Community and Economic Development.
Summary: The Artificial Intelligence Workforce Impact Act mandates a comprehensive study on AI's effects on employment in Pennsylvania, aiming to prepare the workforce for changes, mitigate job displacement, and ensure accessible education and skills development.
Collection: Legislation
Status date: May 12, 2025
Status: Introduced
Primary sponsor: Vincent Hughes (10 total sponsors)
Last action: Referred to LABOR AND INDUSTRY (May 12, 2025)

Keywords (occurrence): artificial intelligence (14) 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 ()

Massachusetts S2814: Site Information & Links

Description: Site Information & Links
Summary: The bill authorizes $1.055 billion in funding for Massachusetts' information technology and cybersecurity investments, enhancing public services and infrastructure through technology improvements until 2030.
Collection: Legislation
Status date: June 6, 2024
Status: Introduced
Last action: See H4648 (June 6, 2024)

Category:
Societal Impact (see reasoning)

The text primarily revolves around funding for various information technology projects in Massachusetts, with specific sections addressing artificial intelligence (AI) and machine learning (ML) systems' implementation. The AI-related portions deal with state agencies' interactions with AI systems for enhancing public services, which falls squarely under aspects related to the Social Impact category. It is about leveraging AI to improve efficiency in public services and interactions with residents. However, there is limited specific discourse on issues such as ethical frameworks or biases regarding AI applications, which slightly reduces its relevance to the Social Impact category. The Data Governance category relates to the management and security of data; though the text includes data-security improvements, it does not explicitly focus on aspects like data biases or intellectual property concerns. The System Integrity category concerns the security and transparency of AI systems, and while the text mentions security improvements, it is not specifically focused on AI/non-AI settings. The Robustness category is less relevant since the text doesn’t address benchmarking, auditing, or standards specific to AI systems. Hence, averaging the scores leads to a final score of 4 for Social Impact due to the emphasis on AI's role enhancing public service and citizen engagement. Data Governance receives a score of 2 due to the mention of data-security improvements but lacks depth on governance-related aspects. System Integrity scores a 2 as well, focusing on technology but lacking dedicated mandates for AI process oversight. Robustness is assigned a 1 as no AI performance benchmarks or certifications are mentioned.


Sector:
Government Agencies and Public Services (see reasoning)

The legislation addresses the use of AI in public service delivery, which is particularly relevant to the Government Agencies and Public Services sector. The allocation of funds for the implementation of AI by state agencies indicates a direct connection with enhancing government functions and services. Healthcare is touched upon concerning health and human services, but specifics on AI in healthcare applications are lacking. Other sectors, such as Politics and Elections or the Judicial System, are not addressed or referenced, leading to them being irrelevant for this document. The emphasis on improving services via technology bridges primarily to Government Agencies and Public Services, scoring a 5. Other sectors, including Healthcare, receive a 2 due to indirect mention without explicit connections. The remaining sectors score 1 as they're not pertinent to the text.


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

United States HB5977: Sensible Classification Act of 2023

Description: To improve the classification and declassification of national security information, and for other purposes.
Summary: The Sensible Classification Act of 2023 aims to reform the classification and declassification processes for national security information, emphasizing sensible classification to protect public interest while limiting access and enhancing transparency.
Collection: Legislation
Status date: Oct. 17, 2023
Status: Introduced
Primary sponsor: Brad Wenstrup (2 total sponsors)
Last action: Referred to the Subcommittee on Energy, Climate and Grid Security. (Nov. 3, 2023)

Category:
System Integrity
Data Robustness (see reasoning)

The bill focuses primarily on improving the classification and declassification of national security information. The mention of using artificial intelligence and machine learning technologies (Section 7) indicates a direct interaction with technologies relevant to AI. However, the overall goal of the bill is more about enhancing efficiency in classification processes rather than addressing impactful socio-economic issues directly tied to AI, or data management and protection concerns. Hence, while the AI technology aspect is significant, it doesn't directly engage with broader social impacts, data governance, integrity of AI systems, or robustness as defined in the categories.


Sector:
Government Agencies and Public Services (see reasoning)

The legislation discusses the application of AI and machine learning specifically in the public sector for classification and declassification processes, indicating its relevance to government operations. The mention of AI technologies and the context of national security point to a strong association with Government Agencies and Public Services, as these technologies are being leveraged to improve governmental functions. However, the bill does not provide a detailed exploration of AI's implications in political campaigns, healthcare, judicial processes, or broader AI impacts on society or the workplace. This context frames the legislation primarily within the Government Agencies and Public Services sector.


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

United States SB1518: Sensible Classification Act of 2023

Description: A bill to improve the classification and declassification of national security information, and for other purposes.
Summary: The Sensible Classification Act of 2023 aims to reform national security information classification and declassification processes, enhancing efficiency while ensuring necessary security and transparency. It emphasizes sensible classification practices and technology implementation.
Collection: Legislation
Status date: May 10, 2023
Status: Introduced
Primary sponsor: John Cornyn (10 total sponsors)
Last action: Read twice and referred to the Committee on Homeland Security and Governmental Affairs. (May 10, 2023)

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

Illinois SB2085: FOIA-ENGINEERING PROPOSALS

Description: Amends the Freedom of Information Act. Provides that proposals or bids submitted by engineering consultants in response to requests for proposal or other competitive bidding requests by the Department of Transportation or the Illinois Toll Highway Authority are exempt from disclosure under the Act.
Summary: The bill amends the Freedom of Information Act to exempt engineering proposals and bids submitted to Illinois' Department of Transportation and Toll Highway Authority from public disclosure, enhancing confidentiality in bidding processes.
Collection: Legislation
Status date: Feb. 9, 2023
Status: Introduced
Primary sponsor: Donald DeWitte (2 total sponsors)
Last action: Added as Co-Sponsor Sen. Neil Anderson (Feb. 21, 2024)

Category: None (see reasoning)

The text primarily discusses amendments to the Freedom of Information Act (FOIA) in Illinois, specifically regarding the exemption of proposals or bids submitted by engineering consultants from disclosure. There are no explicit references to AI technologies or their impact on society, data governance, system integrity, or benchmarks for performance. As a result, the text does not align strongly with the defined categories on legislation specifically addressing these issues.


Sector: None (see reasoning)

The text does not focus on any of the nine specified sectors including politics, public services, or healthcare. It is centered around administrative procedures related to FOIA and does not delve into the use or regulation of AI within any sector. Therefore, relevance to the sectors is also minimal.


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

Massachusetts S2811: Site Information & Links

Description: Site Information & Links
Summary: The bill establishes a Cybersecurity Control Board and a Massachusetts Cyber Incident Response Team to enhance cybersecurity standards, response, and regulations for government entities and critical infrastructure in Massachusetts.
Collection: Legislation
Status date: June 6, 2024
Status: Introduced
Primary sponsor: Michael Moore (2 total sponsors)
Last action: See S2806 (June 6, 2024)

Keywords (occurrence): artificial intelligence (2) automated (1) show keywords in context

New York S06954: Requires generative artificial intelligence providers to include provenance data on synthetic content produced or modified by a generative artificial intelligence system that the generative artificial intelligence provider makes available; provides for the repeal of certain provisions relating th...

Description: Requires generative artificial intelligence providers to include provenance data on synthetic content produced or modified by a generative artificial intelligence system that the generative artificial intelligence provider makes available; provides for the repeal of certain provisions relating thereto.
Summary: The "Stop Deepfakes Act" mandates generative AI providers in New York to include provenance data for synthetic content, ensuring transparency about its origin and modifications to combat misinformation.
Collection: Legislation
Status date: March 27, 2025
Status: Introduced
Primary sponsor: Andrew Gounardes (sole sponsor)
Last action: REFERRED TO INTERNET AND TECHNOLOGY (March 27, 2025)

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

The text pertains to the inclusion of provenance data for synthetic content produced by generative artificial intelligence systems. This closely aligns with 'Social Impact' as it addresses the potential for misinformation through deepfakes, necessitating accountability and consumer protection measures. Regarding 'Data Governance', the provenance requirements also highlight the need for accurate data management as it affects content authenticity and accountability. 'System Integrity' is relevant since the legislation mandates transparency measures around the use of AI systems in content generation, emphasizing human oversight in verifying the provenance of synthetic content. However, it does not specifically address the integrity of the systems themselves or security measures against AI misuse. Finally, while 'Robustness' could be relevant if the legislation included benchmarks for AI performance, it primarily focuses on data provenance and usage rather than performance standards or compliance audits. Therefore, 'Social Impact' and 'Data Governance' resonate very strongly with the text, while 'System Integrity' is less so. 'Robustness' appears to be irrelevant.


Sector:
Politics and Elections
Government Agencies and Public Services (see reasoning)

The text particularly highlights how generative artificial intelligence is being regulated in terms of content provenance, which is crucial for sectors like 'Politics and Elections' due to the implications for misinformation. However, it primarily impacts the 'Government Agencies and Public Services' sector as it mandates that state agencies apply provenance data to digital content published or distributed. The focus on misinformation makes it tangentially relevant to 'Judicial System' since the accuracy of evidence can be affected by AI-generated content, but this is not the main focus of the document. The healthcare, private enterprises, academic institutions, and nonprofit sectors don't seem directly focused on, given the context of synthetic media regulation. There is little mention of international cooperation unless licenses or standards are considered across state lines in the future. Thus, 'Government Agencies and Public Services' is the primary relevant sector, with slight relevance to 'Politics and Elections' and 'Judicial System'.


Keywords (occurrence): artificial intelligence (23) automated (1) show keywords in context

New Jersey A4558: Establishes Next New Jersey Program for artificial intelligence investments.

Description: Establishes Next New Jersey Program for artificial intelligence investments.
Summary: The bill establishes the "Next New Jersey Program" to promote artificial intelligence investments in the state, incentivizing businesses through tax credits for capital investments and job creation.
Collection: Legislation
Status date: June 13, 2024
Status: Introduced
Primary sponsor: Christopher Tully (7 total sponsors)
Last action: Substituted by S3432 (June 28, 2024)

Category:
Societal Impact
Data Governance
Data Robustness (see reasoning)

The text establishes a program for investments in artificial intelligence (AI) within New Jersey, focusing on innovation, job creation, and economic opportunities. It emphasizes the importance of AI industries and related activities like machine learning and the development of AI applications. The relevance of AI to the text is direct and substantial, as it forms the core purpose of the legislation. Hence, the categories are assessed based on their connection to this core focus on AI policy and investments.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)

The legislation primarily impacts the sector of Government Agencies and Public Services due to its establishment by a state authority to manage and oversee the program. However, it also relates to Private Enterprises, Labor, and Employment, as it addresses job creation and economic impact within the AI industry. The text's detailing of AI-related activities also gives it relevance to Academic and Research Institutions, particularly in collaboration with universities for tech startups and research. The direct involvement of AI in various sectors like healthcare and the judicial system is not explicit in this text, leading to lower scores in those sectors.


Keywords (occurrence): artificial intelligence (12) machine learning (2) deep learning (1) show keywords in context

Alaska HB217: Autonomous Vehicle Regulations

Description: An Act regulating autonomous vehicles; and providing for an effective date.
Summary: House Bill 217 regulates autonomous vehicles in Alaska, requiring compliance with federal standards, limiting commercial use without a human operator present, and establishing liability protocols for accidents.
Collection: Legislation
Status date: May 2, 2025
Status: Introduced
Primary sponsor: Transportation (sole sponsor)
Last action: REFERRED TO TRANSPORTATION (May 2, 2025)

Keywords (occurrence): automated (6) autonomous vehicle (4) show keywords in context

Connecticut HB06846: An Act Concerning The Use Of Artificial Intelligence And Other Means To Generate Deceptive Synthetic Media And Affect Elections.

Description: To prohibit distribution of certain deceptive synthetic media within the ninety-day period preceding an election or primary.
Summary: The bill prohibits the distribution of deceptive synthetic media targeting election candidates without consent during a specified period, aiming to protect electoral integrity from AI-generated misinformation.
Collection: Legislation
Status date: Jan. 31, 2025
Status: Introduced
Primary sponsor: Government Administration and Elections Committee (2 total sponsors)
Last action: Tabled for the Calendar, House (April 28, 2025)

Keywords (occurrence): artificial intelligence (2) automated (1) synthetic media (16) show keywords in context

United States HB633: TAKE IT DOWN Act Tools to Address Known Exploitation by Immobilizing Technological Deepfakes On Websites and Networks Act

Description: To require covered platforms to remove nonconsensual intimate visual depictions, and for other purposes.
Summary: The TAKE IT DOWN Act mandates platforms to remove nonconsensual intimate visual depictions and establishes penalties for violations, aiming to protect individuals’ privacy and mitigate harm from digital exploitation.
Collection: Legislation
Status date: Jan. 22, 2025
Status: Introduced
Primary sponsor: Maria Salazar (42 total sponsors)
Last action: Placed on the Union Calendar, Calendar No. 59. (April 28, 2025)

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

South Carolina S0268: Children and Social Media

Description: Amend The South Carolina Code Of Laws By Adding Chapter 80 To Title 39 So As To Provide That A Covered Online Service Shall Take Care In The Use Of A Minor's Personal Data And In The Design And Implementation Of The Service To Prevent Harm To Minors, To Provide That The Online Service Must Provide Minors With Easily Accessible Tools To Limit Time Spent On The Service And Protect Personal Data, To Provide Limits On How Much Of A Minor's Data The Service May Collect And Restrict The Use Of Such...
Summary: Bill 268 aims to enhance protections for minors using online services in South Carolina by enforcing restrictions on data collection, compulsive usage, and providing parental control tools to ensure child safety.
Collection: Legislation
Status date: May 1, 2025
Status: Engrossed
Primary sponsor: Sean Bennett (3 total sponsors)
Last action: Referred to Committee on Judiciary (May 1, 2025)

Keywords (occurrence): automated (3) recommendation system (1) show keywords in context

Kentucky HB15: AN ACT relating to instruction permits and declaring an emergency.

Description: Amend KRS 186.450 to allow persons who are at least 15 years of age to apply for a motor vehicle instruction permit; establish that an instruction permit is valid for four years; amend KRS 186.410, 186.452 and 159.051 to conform; EMERGENCY.
Summary: This bill allows individuals as young as 15 to apply for motor vehicle instruction permits, outlines requirements for applications, and adjusts licensing conditions to enhance youth transportation opportunities.
Collection: Legislation
Status date: March 25, 2025
Status: Passed
Primary sponsor: Steven Rudy (33 total sponsors)
Last action: signed by Governor (Acts Ch. 81) (March 25, 2025)

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

TEXT OF AMENDMENTS

Summary: The bill amends immigration laws to mandate detention or monitoring of certain undocumented aliens, especially those charged with theft, while allowing for selective release under specific circumstances.
Collection: Congressional Record
Status date: Jan. 14, 2025
Status: Issued
Source: Congress

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

Text of Senate Amendment 15

Summary: The bill amends immigration laws to mandate the detention of aliens charged with theft and adjusts residency status for long-term residents, particularly those who entered the U.S. as children.
Collection: Congressional Record
Status date: Jan. 13, 2025
Status: Issued
Source: Congress

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

Text of Senate Amendment 45

Summary: The bill requires the Secretary of Homeland Security to develop a plan for integrating innovative technologies to enhance Customs and Border Protection capabilities at international borders and ports. It aims to improve border security efficiently while addressing privacy and civil rights considerations.
Collection: Congressional Record
Status date: Jan. 14, 2025
Status: Issued
Source: Congress

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

United States SB1484: FORECAST Act of 2025 Forecasting Optimization for Robust Earth Climate Analysis and S2S Tracking Act of 2025

Description: A bill to improve weather research and forecasting by the National Oceanic and Atmospheric Administration, and for other purposes.
Summary: The FORECAST Act of 2025 aims to enhance weather research and forecasting efforts by the NOAA, focusing on improving subseasonal-to-seasonal predictions and workforce development in atmospheric sciences.
Collection: Legislation
Status date: April 10, 2025
Status: Introduced
Primary sponsor: Edward Markey (4 total sponsors)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (April 10, 2025)

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