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Regulations and Documents
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:


North Carolina S735: AI Innovation Trust Fund

Description: AI Innovation Trust Fund
Summary: The AI Innovation Trust Fund establishes a non-reverting fund in North Carolina to support responsible AI development through grants and entrepreneurship programs, while ensuring protections against misuse and harm.
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)

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

The AI Innovation Trust Fund outlines important regulations and provisions concerning the development, deployment, and safety of artificial intelligence systems in North Carolina. It touches upon themes such as responsible innovation, grants for AI development, as well as potential risks associated with AI technologies, which directly aligns with the Social Impact and System Integrity categories. The focus on collaboration and governance suggests a comprehensive understanding of the societal implications of AI and the security measures necessary for its integrity. The trust fund seeks to ensure that AI technologies do not infringe on individual rights, outlining measures that developers must adhere to. There are also considerations for fairness and accountability in the development of AI models. Overall, this bill is highly relevant to all categories as it engages with the intersection of AI technology and its broader social implications, data governance, and system integrity, promoting secure and responsible AI practices.


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

The text primarily addresses the creation of an AI Innovation Trust Fund, which emphasizes collaboration between various stakeholders, including government agencies and research institutions. While it doesn’t specifically categorize legislation based exclusively on one sector, its references to collaboration with research institutions and state agencies indicate strong relevance to the Government Agencies and Public Services sector. The bill outlines development frameworks for AI, specifically targeting its societal applications, suggesting a broader implication in sectors like Private Enterprises and Academic Institutions due to its provisions related to grants and safety measures. Given these connections, it is moderately relevant overall to sectors that deal with the use and regulation of AI across various environments.


Keywords (occurrence): artificial intelligence (27) show keywords in context

North Carolina S624: AI Chatbots - Licensing/Safety/Privacy

Description: AI Chatbots - Licensing/Safety/Privacy
Summary: Senate Bill 624 regulates AI chatbots in North Carolina, instituting licensing and safety standards, particularly for those managing health information, to enhance data privacy and user protection.
Collection: Legislation
Status date: March 25, 2025
Status: Introduced
Primary sponsor: Jim Burgin (sole sponsor)
Last action: Ref To Com On Rules and Operations of the Senate (March 26, 2025)

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

The text primarily focuses on the licensing, safety, and privacy of AI chatbots. Given the substantial role AI plays in the operation of chatbots, all sections of the legislation explicitly mention AI and its implications. The most relevant category here is 'Social Impact,' as it addresses consumer protection and psychological safety concerning chatbot use. The 'Data Governance' category is also pertinent, given the regulations on data collection, usage, and user consent, which are central to privacy practices in this legislation. The 'System Integrity' category is relevant due to mentions of security measures, oversight, and human intervention protocols in chatbot operations. The ‘Robustness’ category has lower relevance, as it is focused more on performance benchmarks for AI systems rather than on safety, licensing, and privacy concerns. Overall, the text heavily aligns with the social implications and governance issues associated with AI in stakeholder interactions.


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

The legislation explicitly pertains to AI chatbots, which influences how services are provided and regulated within various sectors. The 'Healthcare' sector is particularly relevant because the text discusses chatbots that handle sensitive health information and imposes strict licensing requirements for such use. The 'Government Agencies and Public Services' sector is also relevant, as the regulation originates from the state Assembly, influencing public standards for chatbot services. The 'Private Enterprises, Labor, and Employment' sector is involved, given how businesses may deploy these AI chatbots for customer interaction, potentially affecting job functions related to customer service. Other sectors like 'Politics and Elections' or 'Judicial System' do not relate closely to the content of this text. 'Academic and Research Institutions' might also have marginal relevance due to potential educational chatbots but is very limited.


Keywords (occurrence): artificial intelligence (5) machine learning (1) chatbot (47) show keywords in context

United States SB2770: Protect Elections from Deceptive AI Act

Description: A bill to prohibit the distribution of materially deceptive AI-generated audio or visual media relating to candidates for Federal office, and for other purposes.
Summary: The "Protect Elections from Deceptive AI Act" aims to prohibit the distribution of misleading AI-generated audio or visual media related to federal candidates, safeguarding electoral integrity.
Collection: Legislation
Status date: Sept. 12, 2023
Status: Introduced
Primary sponsor: Amy Klobuchar (6 total sponsors)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 388. (May 15, 2024)

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

Kentucky HB7: AN ACT relating to autonomous vehicles.

Description: Creates various sections of KRS Chapter 186 to establish a regulatory framework for the operation of fully autonomous vehicles on public highways, to define terms, to establish requirements for autonomous vehicles and automated driving systems, to provide that from the effective date of the Act until July 31, 2026, any fully autonomous vehicle for which the declared gross weight is more than 62,000 pounds shall be required to have an appropriately credentialed human driver in the vehicle to m...
Summary: The bill establishes regulations for the operation of fully autonomous vehicles without human drivers in Kentucky, focusing on safety, insurance, and compliance with traffic laws while promoting the use of automated driving systems.
Collection: Legislation
Status date: April 12, 2024
Status: Passed
Primary sponsor: Josh Bray (4 total sponsors)
Last action: delivered to Secretary of State (Acts Ch. 176) (April 12, 2024)

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

This legislation primarily focuses on the operation and regulation of fully autonomous vehicles, which inherently involve AI and automated driving systems. The Social Impact category is relevant due to potential societal implications of autonomous vehicles, such as safety, ethics, and the role of human agency in driving. The Data Governance category is moderately relevant as it relates to the data handling processes associated with vehicle accidents and operational details. The System Integrity category is very relevant, given the security measures and operational protocols involved in managing automated driving systems. The Robustness category is slightly relevant in that it concerns compliance with performance standards of these automated systems but does not primarily focus on benchmarks or systematic evaluation. Therefore, the scores will reflect these evaluations.


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

The text primarily concerns the use of AI technologies in the context of autonomous vehicles. It touches upon critical sectors such as Government Agencies and Public Services due to regulatory implications on public transport. It also relates to the Private Enterprises, Labor, and Employment sector as industrial settings for AI technology in automotive sectors are heavily influenced by these regulations. There are minimal direct mentions relevant to Judicial System, Healthcare, Academic Institutions, or NGOs in this context. Thus, the scores indicate strong relevance only for Government Agencies and Public Services, and Private Enterprises, Labor, and Employment.


Keywords (occurrence): automated (25) autonomous vehicle (29) show keywords in context

Florida S1260: Verification of Reemployment Assistance Benefit Eligibility

Description: Citing this act as the "Promoting Work, Deterring Fraud Act of 2024"; providing requirements for reemployment assistance benefit conditions for non-Florida residents; removing requirements that certain skills assessments of claimants be voluntary; revising circumstances under which the department disqualifies claimants from benefits; requiring the department to verify claimants' identities before paying benefits; requiring the department to procure an online workforce search and match tool fo...
Summary: The "Promoting Work, Deterring Fraud Act of 2024" enhances eligibility verification for Florida's reemployment assistance benefits, imposing stricter identity checks, cross-checks against databases, and mandatory reporting requirements for claimants.
Collection: Legislation
Status date: March 8, 2024
Status: Other
Primary sponsor: Jay Trumbull (sole sponsor)
Last action: Died in Appropriations Committee on Transportation, Tourism, and Economic Development (March 8, 2024)

Category:
Data Robustness (see reasoning)

The text primarily addresses the verification of reemployment assistance benefit eligibility and the implementation of an online workforce search and match tool. While it references 'artificial intelligence generation' in the context of matching job seekers to opportunities, it does not delve into the broader societal impacts of AI, issues of data governance related to AI systems, or questions of system integrity or robustness in these AI applications. Therefore, it is relevant mainly in terms of its technological aspect but not deeply in any of the four categories. This leads to moderate relevancy due to the explicit mention of AI in the hiring tool context.


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

The text is particularly relevant to the 'Government Agencies and Public Services' sector since it outlines measures taken by the Department of Commerce regarding reemployment assistance, including identity verification and fraud prevention through AI tools. It also touches upon workforce development and job matching, which are relevant to public employment services provided by the government. The sectors of 'Private Enterprises, Labor, and Employment' and 'Academic and Research Institutions' may see slight relevance through possible interactions with workforce development tools and training opportunities, but the primary focus is on government administrative functions.


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

New Jersey S1501: Establishes guidelines for creditworthiness determinations concerning affordable housing programs.

Description: Establishes guidelines for creditworthiness determinations concerning affordable housing programs.
Summary: This bill establishes guidelines for evaluating creditworthiness in affordable housing applications, aiming to prevent discrimination against low- and moderate-income applicants with damaged credit due to financial struggles.
Collection: Legislation
Status date: Jan. 9, 2024
Status: Introduced
Primary sponsor: Shirley Turner (2 total sponsors)
Last action: Introduced in the Senate, Referred to Senate Community and Urban Affairs Committee (Jan. 9, 2024)

Category:
Societal Impact (see reasoning)

The text discusses the establishment of guidelines for evaluating creditworthiness in affordable housing, with a focus on how algorithms and risk scores can lead to discrimination against low- and moderate-income households. It highlights the potential for AI-related systems (like credit scoring algorithms) to negatively affect people's access to housing based on biased outputs. Therefore, it is relevant to the Social Impact category. While some mentions of data and assessment processes hint at data governance, the primary focus is on the social ramifications of using these assessments rather than strictly the management or security of data within AI systems. The System Integrity category does not apply here, as the legislation does not specifically address security measures for AI. Robustness is also not relevant, as the legislation does not deal with performance benchmarks for AI systems.


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

The text relates to the Government Agencies and Public Services sector due to its implications for public housing programs and regulation of landlords. It does not directly address Politics and Elections, Judicial System, Healthcare, or any other specific sector. While it has indirect relevance to Private Enterprises (landlords as businesses), the primary focus is on public housing access and creditworthiness theories, not enterprise-specific legislation.


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

Rhode Island H5857: Creates the reproductive freedom and gender affirming care health data privacy act.

Description: HEALTH AND SAFETY -- REPRODUCTIVE FREEDOM AND GENDER AFFIRMING CARE HEALTH DATA PRIVACY ACT - Creates the reproductive freedom and gender affirming care health data privacy act.
Summary: The bill establishes the Reproductive Freedom and Gender Affirming Care Health Data Privacy Act, aimed at protecting consumer health data related to reproductive and gender-affirming care in Rhode Island.
Collection: Legislation
Status date: Feb. 28, 2025
Status: Introduced
Primary sponsor: Jason Knight (10 total sponsors)
Last action: Introduced, referred to House Health & Human Services (Feb. 28, 2025)

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

Massachusetts S49: Relative to cybersecurity and artificial intelligence

Description: For legislation to implement annual statewide public employee cybersecurity training. Advanced Information Technology, the Internet and Cybersecurity.
Summary: This bill mandates annual cybersecurity training for all state, county, and municipal employees in Massachusetts, aiming to enhance public cybersecurity awareness and establish a comprehensive state cybersecurity framework.
Collection: Legislation
Status date: Feb. 27, 2025
Status: Introduced
Primary sponsor: Michael Moore (2 total sponsors)
Last action: Hearing scheduled for 04/09/2025 from 01:00 PM-05:00 PM in A-1 (March 24, 2025)

Keywords (occurrence): artificial intelligence (13) machine learning (2) automated (32) algorithm (1) show keywords in context

Alaska SB64: Elections

Description: An Act relating to elections; relating to voters; relating to voting; relating to voter preregistration for minors at least 16 years of age; relating to voter registration; relating to the Alaska Public Offices Commission; relating to synthetic media in electioneering communications; relating to campaign signs; relating to public official financial disclosures; relating to the crime of unlawful interference with voting in the first degree; and providing for an effective date.
Summary: This bill addresses various aspects of election processes in Alaska, including voter registration, residency definitions, election administration, campaign contributions, and preventing election interference, aiming to enhance voting integrity and accessibility.
Collection: Legislation
Status date: Jan. 24, 2025
Status: Introduced
Primary sponsor: Rules (sole sponsor)
Last action: REFERRED TO FINANCE (March 28, 2025)

Keywords (occurrence): artificial intelligence (2) synthetic media (7) show keywords in context

California SB53: CalCompute: foundation models: whistleblowers.

Description: An act to add Section 11547.6.1 to the Government Code, and to add Chapter 5.1 (commencing with Section 1107) to Part 3 of Division 2 of the Labor Code, relating to artificial intelligence.
Summary: Senate Bill No. 53 establishes a consortium to develop "CalCompute," a public cloud computing cluster focused on ethical AI, and enhances whistleblower protections for employees revealing critical risks in AI development.
Collection: Legislation
Status date: Jan. 7, 2025
Status: Introduced
Primary sponsor: Scott Wiener (sole sponsor)
Last action: Read second time and amended. Re-referred to Com. on JUD. (March 27, 2025)

Keywords (occurrence): artificial intelligence (7) automated (1) foundation model (6) show keywords in context

Washington SB5042: Concerning vehicle and operator requirements for autonomous vehicles.

Description: Concerning vehicle and operator requirements for autonomous vehicles.
Summary: The bill establishes safety and operational requirements for registering and testing autonomous vehicles in Washington, including the presence of a human operator and compliance with federal standards.
Collection: Legislation
Status date: Jan. 13, 2025
Status: Introduced
Primary sponsor: John Lovick (11 total sponsors)
Last action: First reading, referred to Transportation. (Jan. 13, 2025)

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

This legislation explicitly addresses the requirements and regulations for autonomous vehicles, including the definitions and responsibilities of human safety operators, which directly ties to the concepts of automation and AI in the operation of vehicles. The bill mandates human oversight in vehicle operation, points towards algorithmic decision-making, and addresses accountability in the case of accidents or violations involving autonomous vehicles. As such, it leans towards discussions about the social impact of AI in terms of safety and regulatory needs. The bill, however, does not strongly address issues of data management, system integrity, or robustness in AI performance specifications, focusing instead on operational guidelines and safety monitoring.


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

The legislation primarily focuses on the regulation of autonomous vehicles, which can be related to several sectors. It effectively pertains to Government Agencies and Public Services as it involves state oversight, certification, and regulation of testing protocols for autonomous vehicles. It indirectly impacts the Judicial System, as potential collisions and moving violations need to be reported and managed under law. The bill also touches upon Healthcare, considering the implications of autonomous vehicle-related accidents and the importance of safety. However, it does not directly address politics, international cooperation, nonprofits, or academic institutions, making some sectors more relevant than others. Thus, while there are multiple relevant sectors, the Government Agencies and Public Services and Judicial System are the most linked to this text.


Keywords (occurrence): automated (1) autonomous vehicle (10) show keywords in context

North Carolina S619: AI Academic Support Grant Program

Description: AI Academic Support Grant Program
Summary: The bill establishes the AI Academic Support Grant Program in North Carolina, allocating funds for public schools to contract with Khan Academy's AI service, Khanmigo, for educational support in grades six to twelve.
Collection: Legislation
Status date: March 25, 2025
Status: Introduced
Primary sponsor: Michael Lee (7 total sponsors)
Last action: Re-ref Com On Appropriations/Base Budget (March 26, 2025)

Category:
Societal Impact
Data Governance (see reasoning)

The text detailing the AI Academic Support Grant Program is highly focused on the use of artificial intelligence in educational contexts. It establishes a specific program to support public school units in utilizing a particular AI application (Khanmigo) to enhance educational outcomes. Given its focus on the impact of AI on education and students, it strongly relates to the Social Impact category as it addresses the implications of AI on student performance and educational equity. The integration and management of data through a secure platform indicate relevance to Data Governance, especially concerning privacy and data integration. However, it is less focused on systemic integrity or robustness benchmarks, as it does not mention security measures or performance standards for the AI itself. Hence, while the Program touches on accountability and improvement in teaching and learning through AI, it does not specifically detail mandates or benchmarks related to these areas.


Sector:
Academic and Research Institutions (see reasoning)

The legislation focuses primarily on the use of AI within academic institutions, aiming to enhance educational delivery through an AI-driven platform. Its relevance to academic settings is straightforward, as it directly involves an educational support program. There is also an important aspect of the program’s evaluation methodology that aligns with research, which may relate to Academic and Research Institutions but is not the primary focus. Moreover, it does not specifically address public service delivery beyond school contexts, making it less relevant for sectors such as Government Agencies and Public Services. Its application in juvenile justice reflects a cross-sector interest but remains primarily educational. Therefore, the main relevance is to Academic and Research Institutions.


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

Hawaii HB2245: Relating To Technology.

Description: Establishes and appropriates funds for an artificial intelligence government services pilot program to provide certain government services to the public through an internet portal that uses artificial intelligence technologies.
Summary: The bill establishes an artificial intelligence pilot program to enhance state and county government services via an online portal, with an associated funding allocation for implementation.
Collection: Legislation
Status date: Jan. 24, 2024
Status: Introduced
Primary sponsor: Sean Quinlan (14 total sponsors)
Last action: Referred to HET, FIN, referral sheet 3 (Jan. 26, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

The text explicitly establishes an artificial intelligence government services pilot program and appropriates funds for it. Given the focus on using AI technologies for various government services, the legislation is closely tied to social impact as it indicates how AI will interact with the public regarding essential services like unemployment, death certificates, building permits, and driver's licenses. There’s also a component regarding the consultation with AI experts, indicating a concern for system integrity and ensuring reliable implementation. However, the primary focus seems to rest on the social impact AI will have as it is used in government service delivery. Data governance is indirectly relevant as handling sensitive information (like death certificates and licenses) requires secure data practices but is less highlighted in the document. System integrity and robustness are minimally addressed, as they refer more to homegrown security measures and performance benchmarks over the core aim of this legislation. Therefore, Social Impact is very relevant, followed by moderate relevance for Data Governance and lower relevance for System Integrity and Robustness.


Sector:
Government Agencies and Public Services (see reasoning)

The text explicitly addresses the use of artificial intelligence in government services, indicating a direct application of AI by state and county agencies. It speaks to how AI is to be utilized for delivering public services and improving government operations, making it highly relevant to the sector of Government Agencies and Public Services. It does not specifically mention aspects related to Politics and Elections, the Judicial System, Healthcare, Private Enterprises, Labor and Employment, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, or Hybrid, Emerging, and Unclassified sectors, thus those receive a lower relevance score. Therefore, the Government Agencies and Public Services sector stands out as very relevant, while others rank significantly lower for relevance.


Keywords (occurrence): artificial intelligence (7) show keywords in context

Washington HB1984: Concerning vehicle and operator requirements for autonomous vehicles.

Description: Concerning vehicle and operator requirements for autonomous vehicles.
Summary: The bill establishes vehicle and operator requirements for autonomous vehicles in Washington, mandating human safety operators during operation, adherence to federal standards, and reporting obligations for testing and incidents.
Collection: Legislation
Status date: Feb. 17, 2025
Status: Introduced
Primary sponsor: Shelley Kloba (12 total sponsors)
Last action: Public hearing in the House Committee on Transportation at 1:30 PM. (Feb. 24, 2025)

Keywords (occurrence): automated (2) autonomous vehicle (11) show keywords in context

Pennsylvania SB431: In preliminary provisions, further providing for definitions; and, in procedure, providing for acceptable denials.

Description: An Act amending the act of February 14, 2008 (P.L.6, No.3), known as the Right-to-Know Law, in preliminary provisions, further providing for definitions; and, in procedure, providing for acceptable denials.
Summary: The bill amends Pennsylvania's Right-to-Know Law by defining "artificial intelligence" and "generative artificial intelligence," and allowing agencies to deny records requests that pose cybersecurity risks or are suspected to be generated by AI.
Collection: Legislation
Status date: March 21, 2025
Status: Introduced
Primary sponsor: Tracy Pennycuick (9 total sponsors)
Last action: Referred to COMMUNICATIONS AND TECHNOLOGY (March 21, 2025)

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

The text explicitly defines 'Artificial intelligence' and 'Generative artificial intelligence,' making it highly relevant to discussions around the social impact of AI, particularly in terms of ensuring accurate information and access to public records. It also addresses concerns about AI-generated requests potentially compromising cybersecurity, indicating a need for careful governance of AI data practices. This implies a significant consideration of how AI technologies impact societal functions such as transparency, privacy, and information security. Therefore, Social Impact is rated highly due to its implications for public trust and data management practices. Data Governance is also relevant given the focus on records requests and cybersecurity risks associated with AI. System Integrity and Robustness relate to overall transparency and oversight, particularly regarding the abilities and risks posed by AI-driven processes, thus scoring slightly lower than Data Governance in this instance, given the specific focus on records and definitions rather than direct system performance benchmarks.


Sector:
Government Agencies and Public Services (see reasoning)

The text discusses the use of AI within the framework of government transparency and access to public records, which strongly indicates its relevance to Government Agencies and Public Services. There is no mention of AI use in Politics and Elections, the Judicial System, Healthcare, or other specified sectors, making those irrelevant. The presence of AI-related vocabulary highlights its significance in public services. As such, Government Agencies and Public Services receive a high score, while the other sectors score low due to lack of relevance.


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

North Carolina S315: More Transparency/Efficiency in Utiliz. Rev

Description: More Transparency/Efficiency in Utiliz. Rev
Summary: Senate Bill 315 aims to enhance transparency and efficiency in health care utilization reviews by establishing clearer timelines and communication requirements for insurers, while ensuring compliance with federal regulations.
Collection: Legislation
Status date: March 17, 2025
Status: Introduced
Primary sponsor: Jim Burgin (18 total sponsors)
Last action: Ref to Health Care. If fav, re-ref to Rules and Operations of the Senate (March 18, 2025)

Category:
Societal Impact
System Integrity (see reasoning)

The text touches upon the implications of using artificial intelligence in the healthcare utilization review process. The mention of AI in the context of not allowing it to be the sole basis for making determinations about medical necessity or appropriateness is crucial, as it indicates a direct concern related to both system integrity and social impact. This aligns strongly with the social consequences of AI decision-making, particularly in healthcare where wrong decisions can lead to severe patient outcomes. System integrity is addressed since it focuses on the security and control mechanisms needed in AI applications, ensuring human oversight in healthcare decisions. Data governance is less relevant here as the emphasis is not on data management but rather on decision-making accountability. Robustness is not applicable given that the text does not address performance metrics or benchmarks for AI systems directly. Therefore, Social Impact and System Integrity score the highest relevance for this document.


Sector:
Healthcare (see reasoning)

The text primarily relates to the healthcare sector as it discusses utilization reviews in health insurance and regulations concerning AI in that context. The provisions are specifically aimed at how AI can or cannot be used in healthcare decisions, thus making healthcare the sector with the highest relevance. While some aspects related to transparency might hint towards government regulations, the focus remains deeply rooted in healthcare and patient care, making other sectors like politics or employment much less relevant. Therefore, Healthcare clearly receives the highest score, directly reflecting the context of AI and its prescribed limitations within healthcare utilization reviews.


Keywords (occurrence): artificial intelligence (1) algorithm (1) 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 within 90 days of elections unless disclaimers are provided, aiming to prevent manipulation that could influence electoral outcomes.
Collection: Legislation
Status date: Jan. 31, 2025
Status: Introduced
Primary sponsor: Government Administration and Elections Committee (2 total sponsors)
Last action: File Number 143 (March 19, 2025)

Category:
Societal Impact
Data Governance (see reasoning)

The Act addresses various implications of Artificial Intelligence (AI) in the context of elections, particularly focusing on the distribution of deceptive synthetic media, highlighting concerns around misinformation, ethics, and public trust. The presence of AI-generated media that could influence elections makes this legislation relevant to the social impact of AI. The importance of holding individuals accountable for the use and distribution of AI-generated content that could deceive or manipulate the electoral process is significant, further reinforcing its relevance to the social impact category. The act also stipulates regulations around the attribution of content and the consents required for using personal depictions, linking it somewhat to data governance but primarily showcasing broader social implications. The nature of the legislation is to mitigate harm caused by deceptive practices in political communication, connecting it deeply with concerns around psychological and material harm, thus reinforcing its relevance to the social impact category specifically, while receiving a slightly lower relevance for data governance as it pertains to fairness and accountability but less directly linked to data management as described in the category.


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

This legislation directly addresses the intersection of AI and politics, focusing on how synthetic media can manipulate public perception during elections. As it regulates the distribution of deceptive AI-generated content and sets rules for consent and notifications during political campaigns, it is highly relevant to the Politics and Elections sector. The legislative provisions specifically aim to prevent the misuse of AI technologies in influencing electoral outcomes. The focus on accountability and systematic rules also implies impact on broader governmental processes but is primarily political, making the score for Government Agencies and Public Services relevant but less central. There is minimal mention of implications for healthcare, judicial systems, labor, or academic sectors, thus receiving scores of 1 or 2 in those areas. The legislation focuses on regulating AI use within the political sector, hence, the score for Politics and Elections is 5, while the Government Agencies and Public Services sector receives a 3.


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

Alabama HB515: Artificial intelligence; regulate use in health coverage decisions.

Description: Artificial intelligence; regulate use in health coverage decisions.
Summary: The bill regulates the use of artificial intelligence in health insurers' coverage decisions, ensuring human oversight by healthcare professionals and allowing patients to seek damages for related injuries.
Collection: Legislation
Status date: April 3, 2025
Status: Introduced
Primary sponsor: Mark Shirey (sole sponsor)
Last action: Pending House Insurance (April 3, 2025)

Keywords (occurrence): artificial intelligence (13) algorithm (6) show keywords in context

SOCIAL SECURITY FAIRNESS ACT OF 2023--Motion to Proceed

Summary: The Social Security Fairness Act of 2023 seeks to repeal provisions that reduce Social Security benefits for retirees who have public service careers, addressing inequities for public servants like teachers and firefighters.
Collection: Congressional Record
Status date: Dec. 12, 2024
Status: Issued
Source: Congress

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

Alabama HB516: Consumer protection, use of a computer to interact with a consumer when consumer believes the interaction is with a human is an unlawful trade practice

Description: Consumer protection, use of a computer to interact with a consumer when consumer believes the interaction is with a human is an unlawful trade practice
Summary: The bill makes it illegal for businesses to use computer technology, such as chatbots or AI, to mislead consumers into believing they are interacting with a human during commercial transactions.
Collection: Legislation
Status date: April 3, 2025
Status: Introduced
Primary sponsor: Prince Chestnut (sole sponsor)
Last action: Pending House Commerce and Small Business (April 3, 2025)

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