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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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4829 results:


United States SB1053: FIGHT China Act of 2025 Foreign Investment Guardrails to Help Thwart China Act of 2025

Description: A bill to protect the national security of the United States by imposing sanctions with respect to certain persons of the People's Republic of China and prohibiting and requiring notifications with respect to certain investments by United States persons in the People's Republic of China, and for other purposes.
Summary: The FIGHT China Act of 2025 aims to safeguard U.S. national security by imposing sanctions on certain Chinese entities and regulating U.S. investments in China, particularly in sensitive technologies.
Collection: Legislation
Status date: March 13, 2025
Status: Introduced
Primary sponsor: John Cornyn (14 total sponsors)
Last action: Read twice and referred to the Committee on Banking, Housing, and Urban Affairs. (Sponsor introductory remarks on measure: CR S1746-1747) (March 13, 2025)

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

Ohio SB164: Regulate the use of artificial intelligence by health insurers

Description: To amend section 3902.50 and to enact section 3902.80 of the Revised Code to regulate the use of artificial intelligence by health insurers.
Summary: This bill regulates the use of artificial intelligence by health insurers in Ohio, ensuring that decisions about medical necessity are made by qualified professionals and require transparency in AI-driven determinations.
Collection: Legislation
Status date: April 1, 2025
Status: Introduced
Primary sponsor: Alessandro Cutrona (sole sponsor)
Last action: Referred to committee: Financial Institutions, Insurance and Technology (April 2, 2025)

Keywords (occurrence): artificial intelligence (5) algorithm (6) show keywords in context

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

Summary: The "Detection Equipment and Technology Evaluation to Counter the Threat of Fentanyl and Xylazine Act of 2024" mandates the Department of Homeland Security to enhance detection methods for illicit substances, particularly fentanyl and xylazine, focusing on improving law enforcement capabilities.
Collection: Congressional Record
Status date: Dec. 12, 2024
Status: Issued
Source: Congress

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

New York A07611: Enacts the "New York State Digital Government Modernization Act"; establishes the digital government modernization initiative and the digital government enhancements pilot program.

Description: Enacts the "New York State Digital Government Modernization Act"; establishes the digital government modernization initiative and the digital government enhancements pilot program.
Summary: The "New York State Digital Government Modernization Act" establishes a modernization initiative to enhance online government services, streamline processes, and implement a two-year pilot program for digital enhancements.
Collection: Legislation
Status date: April 1, 2025
Status: Introduced
Primary sponsor: Matthew Slater (sole sponsor)
Last action: referred to governmental operations (April 1, 2025)

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

Text of Senate Amendment 3329

Summary: The "DETECT Fentanyl and Xylazine Act of 2024" aims to enhance the Department of Homeland Security's capabilities in detecting illicit drugs like fentanyl and xylazine through improved technology and research collaboration.
Collection: Congressional Record
Status date: Dec. 12, 2024
Status: Issued
Source: Congress

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

WILDLIFE INNOVATION AND LONGEVITY DRIVER REAUTHORIZATION ACT

Summary: The Wildlife Innovation and Longevity Driver Reauthorization Act reauthorizes and expands various wildlife conservation programs, including multiyear grants for elephant, rhinoceros, tiger, great ape, and marine turtle conservation to enhance long-term strategies for these species.
Collection: Congressional Record
Status date: Dec. 11, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (136) machine learning (12) automated (33) large language model (1) algorithm (1) show keywords in context

United States HB2152: To require a strategy to defend against the economic and national security risks posed by the use of artificial intelligence in the commission of financial crimes, including fraud and the dissemination of misinformation, and for other purposes.

Description: To require a strategy to defend against the economic and national security risks posed by the use of artificial intelligence in the commission of financial crimes, including fraud and the dissemination of misinformation, and for other purposes.
Summary: The AI PLAN Act mandates a strategy to counter economic and national security risks from AI in financial crimes, including fraud and misinformation, requiring annual reports and recommendations from key government officials.
Collection: Legislation
Status date: March 14, 2025
Status: Introduced
Primary sponsor: Zachary Nunn (2 total sponsors)
Last action: Referred to the House Committee on Financial Services. (March 14, 2025)

Keywords (occurrence): artificial intelligence (8) show keywords in context

Kentucky SB241: AN ACT relating to autonomous vehicles.

Description: Amend KRS 186.763 to extend the requirement for a human driver on a fully autonomous commercial vehicle in excess of 62,000 pounds from July 31, 2026 to July 31, 2031; prohibit school districts from using fully autonomous vehicles as school buses or to transport students; amend KRS 186.779 to allow units of local government to impose conditions on autonomous vehicle operation within their jurisdictions; amend KRS 186.766 and 281.655 to increase all insurance minimum requirement amounts from $...
Summary: The bill regulates the operation of fully autonomous vehicles in Kentucky, allowing them on highways without a human driver, under safety and insurance requirements, while restricting their use as school buses.
Collection: Legislation
Status date: Feb. 18, 2025
Status: Introduced
Primary sponsor: David Yates (sole sponsor)
Last action: to Committee on Committees (S) (Feb. 18, 2025)

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

The text focuses heavily on the operation and regulation of fully autonomous vehicles, which directly ties into the impact of AI on transportation and society at large. The legislative framework establishes criteria for the operation of automated driving systems, reflecting significant considerations regarding accountability, safety, and the societal implications of using such technology. This highlights its relevance to the Social Impact category. Data Governance is also relevant as the text discusses safety compliance and operational standards, which align with data management and security needs for autonomous systems. System Integrity is pertinent because it specifies requirements for operational and performance standards, encompassing transparency in automated driving system functionalities. Robustness has moderate relevance; while it doesn’t focus specifically on performance benchmarks, compliance with federal standards indicates concern for the ongoing accountability of AI systems. Overall, this text primarily pertains to the Social Impact of AI and its regulatory landscape regarding autonomous vehicles, affecting both individual safety and broader societal implications.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment (see reasoning)

The text primarily deals with the use and regulation of AI through autonomous vehicles, which intersects with multiple sectors. Politics and Elections has minimal relevance as it doesn't address the use of AI in the electoral process. Government Agencies and Public Services is relevant since it discusses governmental regulation of autonomous vehicles on public roads. The Judicial System is not applicable in this context as there is no mention of legal processing with AI. Healthcare has no relevance as it doesn’t pertain to medical applications. Private Enterprises, Labor, and Employment is moderately relevant since it addresses the implications of autonomous vehicles on business operations and insurance requirements. Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, and Hybrid, Emerging, and Unclassified sectors have little to no relevance in this specific legislation regarding autonomous vehicles. Hence, the most relevant sectors are Government Agencies and Public Services and Private Enterprises, Labor, and Employment.


Keywords (occurrence): automated (7) autonomous vehicle (14) show keywords in context

NOTICE OF ADOPTION OF REGULATIONS AND TRANSMITTAL FOR CONGRESSIONAL APPROVAL

Summary: The bill formalizes regulations under the Congressional Accountability Act to implement the Fair Chance to Compete for Jobs Act, limiting pre-employment criminal history inquiries in legislative branch hiring.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

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

New Jersey A2838: Establishes guidelines for creditworthiness determinations concerning affordable housing programs.

Description: Establishes guidelines for creditworthiness determinations concerning affordable housing programs.
Summary: The bill establishes guidelines for evaluating creditworthiness in affordable housing programs, aiming to prevent discrimination against low- and moderate-income renters by limiting the use of credit scores in lease applications.
Collection: Legislation
Status date: Jan. 9, 2024
Status: Introduced
Primary sponsor: Anthony Verrelli (5 total sponsors)
Last action: Introduced, Referred to Assembly Housing Committee (Jan. 9, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

The text discusses guidelines related to the assessment of creditworthiness for affordable housing programs, specifically regarding the unfair impact of credit assessments on low- and moderate-income households. It touches on issues of discrimination in credit evaluations, particularly concerning African-Americans and other protected classes. While it does mention assessments and algorithms in defining credit scores, the focus remains primarily on social equity and housing access rather than broader social implications of AI technology or algorithmic biases across various sectors. Thus, its relevance to the category of Social Impact stems from its focus on fairness and discrimination related to housing but is less aligned with robust AI-specific frameworks. Data Governance is somewhat relevant as it discusses guidelines on the use of data (credit scores) but lacks deeper specific governance aspects of data integrity or privacy. System Integrity is minimally relevant; although it implies some scrutiny on the evaluation process, it doesn't pertain to the integrity of AI systems. Robustness is not relevant as the text does not mention benchmarks or performance metrics for AI systems.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment (see reasoning)

The legislation primarily focuses on creditworthiness in the context of affordable housing applications, making it relevant to the housing sector. While it does touch on social equity and discrimination issues that cross over into various social sectors, the direct ramifications and applications of AI technologies to this bill are limited. Thus, its relevance to Politics and Elections is minimal, and similarly for Judicial System, which it does not address particularly concerning legal assessments. Government Agencies and Public Services is moderately relevant as the bill discusses guidelines that could influence public policies regarding housing assessments. Thus, the most relevant sector is Private Enterprises, Labor, and Employment due to the implications for landlords and tenants, but again falls short of pivotal connections in the broader employment or labor landscape. Other sectors such as Academic Institutions and Nonprofits are less relevant as they do not directly address the key components that pertain specifically to legislation governing their functions.


Keywords (occurrence): algorithm (1) show keywords in context

REMEMBERING DR. CHARLIE McMILLAN

Summary: The bill commemorates Dr. Charlie McMillan, honoring his contributions to science, particularly in physics and supercomputing, and recognizes his legacy in public service and community engagement in New Mexico.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

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

North Carolina S738: Digital Content Provenance Initiative/Funds

Description: Digital Content Provenance Initiative/Funds
Summary: The bill establishes the Digital Content Provenance Initiative in North Carolina to create standards for authenticating digital content and combat misinformation from AI-generated media, appropriating $500,000 for implementation.
Collection: Legislation
Status date: March 25, 2025
Status: Introduced
Primary sponsor: DeAndrea Salvador (6 total sponsors)
Last action: Re-ref Com On Appropriations/Base Budget (March 26, 2025)

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

JOINT EXPLANATORY MATERIAL STATEMENT SUBMITTED BY MR. ROGERS OF ALABAMA, CHAIR OF THE HOUSE COMMITTEE ON ARMED SERVICES, ON HOUSE AMENDMENT TO SENATE AMENDMENT TO H.R. 5009

Summary: The bill, known as the Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025, authorizes $883.7 billion for national defense programs, enhancing servicemember quality of life and national security initiatives.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

Category:
System Integrity (see reasoning)

The text primarily discusses provisions related to the National Defense Authorization Act for Fiscal Year 2025 and includes several mentions of autonomous systems, particularly in the context of military applications. Most notably, it references 'autonomous surface and underwater dual-modality vehicles,' which directly indicates the use of AI. However, the text does not broadly address the societal implications of AI, data management specifics, system integrity, or the establishment of performance benchmarks for AI systems. Consequently, while some relevant elements are present, many aspects of the categories are not fully addressed.


Sector:
Hybrid, Emerging, and Unclassified (see reasoning)

The text includes provisions that relate directly to the armed forces and their procurement, suggesting a focus on military applications for AI, particularly in terms of autonomous systems. The mentions of robotic targets and autonomous vehicles indicate relevance to the defense sector but do not extend much beyond this focus. Other sectors such as healthcare, government services, or public policy are not represented in the text.


Keywords (occurrence): artificial intelligence (52) machine learning (7) automated (23) show keywords in context

China (Executive Session)

Summary: The bill aims to enhance transparency regarding U.S. investments in China, particularly in sensitive technologies, to mitigate national security risks tied to China’s military and aggressive economic practices.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

Category:
Societal Impact
Data Governance (see reasoning)

This document heavily discusses the implications of AI in the context of U.S. investment in China, posing it as a national security threat. The reference to AI as a sensitive technology that could be used against the U.S. implies significant concerns around its impact on society, accountability, and the dangers of transferring AI capabilities to an adversarial state. Therefore, there are strong implications regarding social impact and the governance of AI. There is also mention of the risks associated with AI use in military-civil fusion, reinforcing these concerns. However, the document does not specifically discuss the integrity or robustness of AI systems themselves, nor does it address benchmarks or performance standards for AI.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
International Cooperation and Standards (see reasoning)

The text explicitly mentions AI in relation to national security and investments, framing it as a critical area of concern. It relates to government oversight regarding AI investments and the implications of these technologies for international relations and safety. While there is some discussion on the influence of AI in military settings which could relate to the Government Agencies and Public Services sector, the primary focus is more on national security and less on specific sectors like Healthcare or Judicial System. The absence of focused mention on judicial, healthcare, or academic concerns indicates that the relevance is concentrated primarily on Government Agencies and national security aspects.


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

United States HR255: 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 strikes on the Houthis in Yemen and the disclosure 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 strikes on the Houthis in Yemen and the disclosure of confidential information to a journalist on the Signal application.
Summary: The bill requests the President and Secretary of State to provide the House of Representatives with records related to strikes on the Houthis in Yemen and disclosures to a journalist, aiming for transparency and accountability.
Collection: Legislation
Status date: March 26, 2025
Status: Introduced
Primary sponsor: Gregory Meeks (24 total sponsors)
Last action: Referred to the House Committee on Foreign Affairs. (March 26, 2025)

Category:
Data Governance
System Integrity (see reasoning)

The text contains references to artificial intelligence specifically in the context of requesting the transmission of 'artificial intelligence large language model conversation transcripts.' This indicates a connection to both the Data Governance category, which includes managing data within AI systems, and System Integrity, which encompasses security and transparency in data usage involving AI. However, the primary focus of the text is on governmental transparency and military actions, which does not deeply engage with the broader implications of AI on society or the specific integrity of AI systems. Overall, the relevance to Social Impact and Robustness is minimal, while Data Governance and System Integrity are more relevant due to the mention of using AI in governmental contexts and the implications of handling AI-generated data.


Sector:
Government Agencies and Public Services (see reasoning)

The text is focused on governmental transparency and the processes related to military strikes and communication among government officials. While it mentions AI in the context of conversation transcripts, it does not specifically address how AI operates or impacts the broader sectors listed. The implications of data governance through the lens of military and government practices give it some relevance to Government Agencies and Public Services, but without explicit mention of AI applications in public service delivery, it remains only moderately relevant. The legislation does not pertain strongly to sectors like Politics and Elections, Judicial System, Healthcare, or any of the other defined sectors beyond the governmental context.


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

Texas SB1188: Relating to electronic health record requirements.

Description: Relating to electronic health record requirements.
Summary: This bill establishes regulations for electronic health records in Texas, ensuring they are stored within the U.S., outlining required medical history content, and emphasizing biological sex documentation while restricting certain personal information.
Collection: Legislation
Status date: Feb. 7, 2025
Status: Introduced
Primary sponsor: Lois Kolkhorst (sole sponsor)
Last action: Left pending in committee (March 18, 2025)

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

The text primarily deals with the requirements for electronic health records (EHR), with a notable focus on how artificial intelligence (AI) is used in these records. Specifically, section 183.005 outlines responsibilities for health care practitioners using AI for diagnostic recommendations, mandating that they verify AI-provided information before recorded in EHRs, which addresses accountability and accuracy. This relates directly to the Social Impact category regarding consumer protection and potential health disparities stemming from AI use. It also sits within Data Governance, as it incorporates elements of data management in AI applications in healthcare. Moreover, there are references to maintaining the integrity of information and ensuring access controls under certain statutory frameworks, which connects to System Integrity. However, the text does not delve into the robustness standards or certification practices related to AI benchmarks, aligning less with the Robustness category.


Sector:
Healthcare (see reasoning)

The text specifically addresses the use of AI in healthcare settings, emphasizing electronic health records and AI responsibilities for healthcare practitioners. It is targeted towards rules and guidelines affecting medical facilities and practitioners in terms of their handling of health records that include AI-generated recommendations, which establishes a link to the Healthcare sector. The references to governmental entities controlling access to these records also add relevance, but it does not explicitly target other sectors such as Politics and Elections or the Judicial System, which might directly relate to AI regulation outside healthcare. Other sectors like Private Enterprises or Academia are touched upon only marginally if at all. Therefore, the greatest applicability remains within Healthcare.


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

Texas HB4503: Relating to electronic health record requirements.

Description: Relating to electronic health record requirements.
Summary: This bill establishes requirements for electronic health records in Texas, mandating storage within the U.S., outlining data inclusion and access protocols, and ensuring medical histories reflect biological sex accurately.
Collection: Legislation
Status date: March 12, 2025
Status: Introduced
Primary sponsor: Greg Bonnen (sole sponsor)
Last action: Filed (March 12, 2025)

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

This text emphasizes the requirements and regulations surrounding electronic health records (EHR), with a significant focus on the use of artificial intelligence (AI) in determining diagnostics and treatment suggestions based on patient medical records. Since AI is mentioned explicitly in the context of healthcare decisions, there is a strong relevance to the Social Impact category, particularly regarding consumer safety and healthcare accuracy. Furthermore, the text contains data governance aspects related to how electronic health records are managed and stored, especially concerning accuracy and access restrictions shaped by AI tools. The System Integrity category is also relevant due to the implications of ensuring human oversight on AI processes in healthcare. Robustness is less relevant because it does not mention benchmarks for performance or compliance measures extensively. Overall, this legislation directly addresses social issues (accuracy of AI in treatment), data management (EHR requirements), and the need for human oversight, which adds weight to the relevance of these categories.


Sector:
Healthcare (see reasoning)

The text primarily pertains to healthcare as it deals explicitly with electronic health records and AI usage in medical contexts. It outlines important legal frameworks that govern how healthcare practitioners interact with AI technology and manage patient information, especially concerning diagnostic procedures and recommendations. While the legislation touches upon AI implications in healthcare, there is minimal relevance to politics, the judicial system, private enterprises, academic institutions, nonprofits, or international standards, as it mainly focuses on specific healthcare practice regulations. As such, the strongest alignment is with the healthcare sector, reflecting a direct influence of AI within medical practice.


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

Illinois HB3720: AI-MEANINGFUL HUMAN REVIEW

Description: Creates the Meaningful Human Review of Artificial Intelligence Act. Sets forth provisions prohibiting a State agency, or any entity acting on behalf of an agency, from utilizing or applying any automated decision-making system, directly or indirectly, without continuous meaningful human review when performing any of the agency's specified functions. Requires impact assessments to be performed by State agencies seeking to utilize or apply an automated decision-making system with continuous mea...
Summary: The AI-MEANINGFUL HUMAN REVIEW Act mandates continuous human oversight for automated decision-making systems used by state agencies in Illinois, requiring impact assessments and ensuring accountability and protection of individual rights.
Collection: Legislation
Status date: Feb. 7, 2025
Status: Introduced
Primary sponsor: Abdelnasser Rashid (sole sponsor)
Last action: Rule 19(a) / Re-referred to Rules Committee (March 21, 2025)

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

The Meaningful Human Review of Artificial Intelligence Act focuses on the utilization of automated decision-making systems within state agencies with a requirement for continuous human oversight. This oversight directly relates to the Social Impact category, as it addresses concerns about the impact of AI-driven decisions on individual rights and welfare, ensuring that AI applications do not negatively affect civil liberties or public assistance benefits. The requirement for meaningful human review and impact assessments aligns with concerns regarding the ethical, social, and legal implications of using AI in sensitive government applications. This text is also relevant to the System Integrity category due to its emphasis on the security and reliability of decision-making processes reliant on AI platforms, mandating oversight and evaluations to maintain integrity and accountability. However, while data governance aspects such as rights related to personal data and evaluations of biases are addressed in the text, they are not the primary focus, making its relevance to this category moderate. There is no explicit mention of performance benchmarks or legislation that develops new AI methodologies, which makes Robustness less relevant. Overall, the act emphasizes social responsibility and the integrity of government applications of AI, which are key concerns in today's digital governance landscape.


Sector:
Government Agencies and Public Services (see reasoning)

This legislation pertains directly to government agencies and public services, specifically how they utilize AI in decision-making processes that significantly affect the rights and welfare of individuals, particularly in public assistance contexts. The prohibition of automated decisions without meaningful human review speaks to the accountability and transparency expected in public sector operations when employing technology. There are specific terms related to the governance of automated systems and their impact assessments, reinforcing the role of AI in enhancing or compromising the integrity of public services. The text does not address sectors like Politics and Elections, Judicial System, Healthcare, Private Enterprises, Academic Institutions, or International Standards directly, making their relevance minimal in this context. Additionally, it does not touch upon nonprofit organizations, nor does it suggest any hybrid or emerging sector applications. The primary focus remains on government operations, thus aligning specifically with the Government Agencies and Public Services sector.


Keywords (occurrence): artificial intelligence (3) machine learning (1) automated (40) show keywords in context

Massachusetts H3324: Relative to the safety of autonomous vehicles

Description: For legislation to further regulate the operation of autonomous vehicles. Transportation.
Summary: The bill regulates the operation of autonomous vehicles in Massachusetts, requiring a human safety operator to be present during transport to ensure safety and compliance with federal standards.
Collection: Legislation
Status date: Feb. 16, 2023
Status: Introduced
Primary sponsor: Jessica Giannino (4 total sponsors)
Last action: Accompanied a study order, see H4530 (April 29, 2024)

Category:
System Integrity (see reasoning)

This bill addresses the regulation and safety of autonomous vehicles, which are intrinsically linked to artificial intelligence (AI) technologies. The term 'autonomous vehicles' implies the use of AI algorithms and automated decision-making processes for navigation and control. The legislation emphasizes the need for human oversight, which hints at concerns regarding the integrity and safety of AI systems in this context. The focus is primarily on system integrity due to mandates for human intervention and adherence to federal standards, alongside safety measures. However, it does not discuss broader social implications or data governance concerning AI-driven systems, leading to a lower score for those categories.


Sector:
Government Agencies and Public Services (see reasoning)

The text explicitly addresses legislation related to autonomous vehicles, which falls under the transportation sector but also impacts government regulations concerning public safety. It does not specifically mention political campaigns, healthcare, or other sectors. Thus, it is primarily relevant to government operations related to public safety and transportation. The score for this sector reflects its focus on vehicle safety and regulation.


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

Artificial Intelligence (Executive Session)

Summary: The bill focuses on advancing bipartisan legislation for artificial intelligence, aiming to promote innovation while implementing safeguards to prevent misuse, ensuring the U.S. remains a technological leader.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text primarily discusses the legislative efforts and bipartisan commitment around AI, indicating its social implications and the need for governance around its impact. It highlights the importance of creating AI legislation that prioritizes innovation while ensuring safeguards against potential harms, touching on social impacts such as healthcare and climate change. However, it lacks specific details about data governance, system integrity measures, or robustness benchmarks. Thus, while it is relevant to social impact, it is less relevant to the other categories.


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

While the text addresses AI in a governmental context, it does not delve into specifics about how AI is used or regulated within any individual sector. It indicates a commitment to improving AI legislation, which can apply across sectors but does not offer concrete examples pertinent to any one sector. The focus remains on legislative processes rather than sector-specific applications of AI. Therefore, its relevance to the sectors is limited, with the strongest ties to government agencies based on its commentary about bipartisan talks.


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