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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.

Clear All

5022 results:


Minnesota SF2940: Minnesota Data Privacy Act modification to make consumer health data a form of sensitive data provision and sensitive data additional protections addition provision

Description: Minnesota Data Privacy Act modification to make consumer health data a form of sensitive data provision and sensitive data additional protections addition provision
Summary: The bill modifies the Minnesota Consumer Data Privacy Act to classify consumer health data as sensitive data, enhancing protections for such data within privacy regulations.
Collection: Legislation
Status date: March 24, 2025
Status: Introduced
Primary sponsor: Bonnie Westlin (2 total sponsors)
Last action: Referred to Commerce and Consumer Protection (March 24, 2025)

Category:
Societal Impact
Data Governance (see reasoning)

The text details modifications to the Minnesota Data Privacy Act, specifically addressing consumer health data and its classification as sensitive data. It emphasizes the additional protections for sensitive data, such as biometric and genetic information. The inclusion of 'algorithms' and 'machine learning' in connection with health data solidifies its relevance for data governance, particularly regarding how personal data is managed securely and without bias. While there is a significant emphasis on data governance, the text also indirectly relates to social impacts by discussing consumer protections and impacts on health-related data handling. However, system integrity and robustness are less directly addressed, as the text primarily revolves around consumer rights and data privacy rather than technical standards or performance benchmarks for AI systems.


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

The text is highly relevant to the Healthcare sector, as it primarily concerns consumer health data and its protections under modified privacy laws. It also touches on government operations by describing how the legislation affects the handling of data by entities operating in Minnesota, which could include both public and private organizations involved in healthcare. However, its focus on consumer protections means it is less applicable to sectors like Private Enterprises or Academic Institutions, as it primarily discusses regulatory compliance rather than sector-specific applications of AI. The inclusion of terms like 'algorithms' and 'profiling' links to broader implications on AI use in the healthcare space, enhancing its relevance to that sector.


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

Oklahoma HB1983: Schools; media literacy and cybersecurity to be taught in sixth, seventh, or eighth grades; State Department of Education to adopt curriculum standards; effective date.

Description: Schools; media literacy and cybersecurity to be taught in sixth, seventh, or eighth grades; State Department of Education to adopt curriculum standards; effective date.
Summary: The bill mandates that public schools in Oklahoma teach media literacy and cybersecurity to students in sixth to eighth grades, establishing curriculum standards and instructional guidelines by November 1, 2025.
Collection: Legislation
Status date: Feb. 3, 2025
Status: Introduced
Primary sponsor: Trish Ranson (sole sponsor)
Last action: Authored by Representative Ranson (Feb. 3, 2025)

Category:
Societal Impact
Data Governance (see reasoning)

The text primarily addresses the implementation of media literacy and cybersecurity education in Oklahoma schools. The relevance of AI is primarily derived from the specific mention of identifying deepfake images, videos, audio, and artificial intelligence as part of the curriculum. This suggests a focus on understanding and combating misinformation potentially generated or propagated by AI technologies. Given this context, the relevant categories vary in terms of their applicability to the legislation. Social Impact relates to the societal implications of misinformation and the ethical use of AI tools in media. Data Governance touches on aspects of protecting personal information and navigating digital environments. System Integrity aligns with the emphasis on teaching critical evaluation of media content which bears on the requirement for reliable information sources. Robustness is less relevant here as there are no direct implications regarding benchmarks or performance of AI systems discussed in the text.


Sector:
Academic and Research Institutions (see reasoning)

The sectors potentially affected by this legislation largely relate to Academia due to its focus on educational standards and curriculum development tailored for students. The relevance to Government Agencies is minimal, despite the State Department of Education being involved. Other sectors, such as Healthcare or Judicial System, have no connection to the content of this text. Therefore, the scoring reflects a significant focus on Academic and Research Institutions, with a marginal consideration of others according to context.


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

New Jersey A5004: Creates separate crime for items depicting sexual exploitation or abuse of children; concerns computer generated or manipulated sexually explicit images.

Description: Creates separate crime for items depicting sexual exploitation or abuse of children; concerns computer generated or manipulated sexually explicit images.
Summary: This bill establishes a new crime classification in New Jersey for the distribution and possession of computer-generated or manipulated images depicting child sexual exploitation or abuse, aiming to enhance protections for minors against such exploitation.
Collection: Legislation
Status date: Oct. 28, 2024
Status: Introduced
Primary sponsor: Luanne Peterpaul (3 total sponsors)
Last action: Reported out of Assembly Comm. with Amendments, 2nd Reading (June 19, 2025)

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

California AB325: Cartwright Act: violations.

Description: An act to add Sections 16729 and 16756.1 to the Business and Professions Code, relating to business regulations.
Summary: The bill amends the Cartwright Act to prohibit the use of common pricing algorithms for price-fixing conspiracies and clarifies complaint requirements, aiming to strengthen antitrust enforcement in California.
Collection: Legislation
Status date: June 2, 2025
Status: Engrossed
Primary sponsor: Cecilia Aguiar-Curry (2 total sponsors)
Last action: From committee chair, with author's amendments: Amend, and re-refer to committee. Read second time, amended, and re-referred to Com. on JUD. (June 19, 2025)

Keywords (occurrence): artificial intelligence (1) machine learning (1) algorithm (10) show keywords in context

Montana SB67: Provide for the use of autonomous vehicles

Description: Provide for the use of autonomous vehicles
Summary: The bill establishes regulations for the safe use of autonomous vehicles on Montana's public highways, promoting technology integration and addressing local driving conditions while allowing for rulemaking by transportation authorities.
Collection: Legislation
Status date: May 5, 2025
Status: Passed
Primary sponsor: Denley Loge (sole sponsor)
Last action: Chapter Number Assigned (May 8, 2025)

Keywords (occurrence): automated (30) show keywords in context

Louisiana HB178: Provides for the continuous revision of the Code of Civil Procedure

Description: Provides for the continuous revision of the Code of Civil Procedure
Summary: This bill updates Louisiana's Code of Civil Procedure, amending multiple articles to improve procedural clarity, address judicial processes, and enhance attorney conduct, with an emphasis on efficiency in civil cases.
Collection: Legislation
Status date: June 11, 2025
Status: Passed
Primary sponsor: Mike Johnson (sole sponsor)
Last action: Effective date: 08/01/2025. (June 11, 2025)

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

Rhode Island H5123: Requires DOA provide inventory of all state agencies using artificial intelligence (AI); establishes a 13 member permanent commission to monitor the use of AI in state government and makes recommendations for state government policy and other decisions.

Description: STATE AFFAIRS AND GOVERNMENT -- ARTIFICIAL INTELLIGENCE ACCOUNTABILITY ACT - Requires DOA provide inventory of all state agencies using artificial intelligence (AI); establishes a 13 member permanent commission to monitor the use of AI in state government and makes recommendations for state government policy and other decisions.
Summary: The bill establishes the Artificial Intelligence Accountability Act, mandating an inventory of AI usage by state agencies and creating a commission to monitor AI's impact and recommend policies.
Collection: Legislation
Status date: Jan. 22, 2025
Status: Introduced
Primary sponsor: John Lombardi (6 total sponsors)
Last action: Introduced, referred to House Innovation, Internet, & Technology (Jan. 22, 2025)

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

The text encompasses legislation aimed at monitoring and regulating the use of artificial intelligence (AI) within state government. It highlights accountability by requiring an inventory of AI systems used across state agencies and establishes a commission to assess their impacts, ensuring they do not lead to unlawful discrimination or other societal issues. This aligns strongly with themes of social impact due to the focus on fairness, discrimination, and societal effects of AI systems. Data governance is also relevant given the text's emphasis on data usage, security, and assessment procedures around AI systems. System integrity is significant due to mandates for transparency and assessment of AI systems and their processes. Robustness is also a consideration, albeit to a lesser extent, as it implies the establishment of benchmarks and policies for continuous assessment of AI performance, which is indirectly referenced but is critical for ongoing compliance and improvement.


Sector:
Government Agencies and Public Services
Academic and Research Institutions (see reasoning)

This legislation is particularly relevant to the 'Government Agencies and Public Services' sector, as it establishes a framework for how artificial intelligence is used within state government, overseeing its implementation, effects, and compliance with ethical guidelines. It is also somewhat relevant to the 'Academic and Research Institutions' sector, considering the commission includes experts from academic backgrounds to inform best practices and guidelines. Other sectors like Politics and Elections, Healthcare, and Private Enterprises do not appear as directly relevant based on the text provided, making this legislation primarily focused on governmental use of AI.


Keywords (occurrence): artificial intelligence (28) machine learning (2) neural network (1) show keywords in context

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

Description: Student data; creating the Oklahoma Education and Workforce Statewide Longitudinal Data System.
Summary: The bill establishes the Oklahoma Education and Workforce Efficiency Data System to securely manage and analyze educational and workforce data, aiming to improve outcomes and taxpayer investment.
Collection: Legislation
Status date: March 26, 2025
Status: Engrossed
Primary sponsor: Ally Seifried (3 total sponsors)
Last action: HAs read (May 5, 2025)

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

Ohio SB79: Regulate the use of pricing algorithms

Description: To amend sections 1331.01, 1331.04, and 1331.16 and to enact sections 1331.05 and 1331.50 of the Revised Code to regulate the use of pricing algorithms.
Summary: The bill regulates pricing algorithms by prohibiting the use of nonpublic competitor data, aiming to prevent anti-competitive practices and ensure fair market competition in Ohio.
Collection: Legislation
Status date: Feb. 4, 2025
Status: Introduced
Primary sponsor: Louis Blessing (2 total sponsors)
Last action: Introduced (Feb. 4, 2025)

Category:
Societal Impact (see reasoning)

The text primarily discusses the regulation of pricing algorithms, which incorporates artificial intelligence and machine learning techniques. This directly relates to how AI impacts business practices and pricing strategies, which can have social repercussions regarding fairness and bias in pricing decisions. The legislation does not focus explicitly on data governance, system integrity, or the establishment of performance benchmarks, which would typically characterize robustness. Therefore, the most relevant category for this text would fall under Social Impact due to its implications on fairness and accountability in pricing decisions influenced by AI algorithms, with more limited relevance to other categories.


Sector:
Private Enterprises, Labor, and Employment (see reasoning)

This text primarily pertains to the private sector and its use of AI within business contexts, particularly focusing on pricing algorithms that can affect competitive practices. It emphasizes business regulations that will affect how commercial entities set their prices and interact with market data. However, it does not specifically address sectors like government agencies, healthcare, academia, or international standards. Hence, the relevance to the Private Enterprises, Labor, and Employment sector is moderate. There is no significant emphasis on political, legal, or institutional use of AI, leading to the lower relevancy scores across those sectors.


Keywords (occurrence): artificial intelligence (1) algorithm (19) show keywords in context

Oregon HB3936: Relating to the security of state assets.

Description: Bans the use of AI on state assets if the AI is developed or owned by a covered vendor. (Flesch Readability Score: 80.6). [Digest: Bans the use of AI on state assets if the AI is owned or developed by a foreign corporate entity. (Flesch Readability Score: 68.0).] Prohibits any hardware, software or service that uses artificial intelligence from being installed or downloaded onto or used or accessed by state information technology assets if the artificial intelligence is developed or owned by ...
Summary: House Bill 3936 enhances the security of state assets by regulating the use of products from designated "covered vendors," particularly those involving artificial intelligence, to mitigate national security threats.
Collection: Legislation
Status date: June 12, 2025
Status: Enrolled
Primary sponsor: Darcey Edwards (2 total sponsors)
Last action: Third reading. Carried by Robinson. Passed. Ayes, 27; Excused, 3--Nash, Smith DB, Starr. (June 12, 2025)

Keywords (occurrence): artificial intelligence (6) automated (3) show keywords in context

United States HB1608: Department of Homeland Security Vehicular Terrorism Prevention and Mitigation Act of 2025

Description: To require the Secretary of Homeland Security to produce a report on emerging threats and countermeasures related to vehicular terrorism, and for other purposes.
Summary: The bill mandates the Secretary of Homeland Security to produce a report on vehicular terrorism threats and countermeasures, enhancing public safety and coordinated response strategies against such attacks.
Collection: Legislation
Status date: Feb. 26, 2025
Status: Introduced
Primary sponsor: Carlos Gimenez (2 total sponsors)
Last action: Referred to the Subcommittee on Counterterrorism and Intelligence. (Feb. 26, 2025)

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

The text of the Department of Homeland Security Vehicular Terrorism Prevention and Mitigation Act of 2025 contains several references to artificial intelligence and machine learning, particularly in the context of threats posed by emerging automotive technologies, including autonomous vehicles and advanced driver assistance systems (ADAS). These technologies are highlighted as creating vulnerabilities that could be exploited for vehicular terrorism, particularly with the mention of AI-enabled technologies and predictive analytics used to detect suspicious behaviors. This aligns the text significantly with the categories of Social Impact, due to its implications for public safety and civil liberties, and Data Governance, given the attention to privacy and civil rights in the deployment of countermeasures. System Integrity is relevant since it discusses technology protocols to monitor and restrict vehicle access, and Robustness is relevant because it touches on the need for guidelines in research and development of security measures. Overall, the text is particularly focused on the societal impacts and governance aspects of AI technologies used in the context of countering vehicular terrorism.


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

The legislation is highly relevant across multiple sectors. It directly addresses Government Agencies and Public Services since it enforces the role of the Department of Homeland Security in managing vehicle-based threats and enhances public service through safety measures. The Judicial System is moderately relevant due to the implications this report may have concerning law enforcement’s response strategies, but it is not a central focus. In terms of Healthcare, there is limited relevance as it touches on healthcare facilities as high-risk locations but does not delve into health systems. It has implications for Private Enterprises, Labor, and Employment since the mention of industry collaboration highlights the role of private sector engagement with technology and safety practices. The nature of this legislative document also touches upon International Cooperation and Standards because of its broader implications for the development of security standards in various industries. However, it does not fit squarely into Academic and Research Institutions or Nonprofits and NGOs. Overall, the most significant relevance is with Government Agencies and Public Services and Private Enterprises. The report's focus on technology and AI tools pushes its relevance across these sectors.


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

California AB979: California Cybersecurity Integration Center: artificial intelligence.

Description: An act to amend Section 8586.5 of the Government Code, relating to technology.
Summary: Assembly Bill No. 979 requires the California Cybersecurity Integration Center to develop an AI Cybersecurity Collaboration Playbook by July 1, 2026, to enhance information sharing and strengthen defenses against cyber threats in the AI sector.
Collection: Legislation
Status date: Feb. 20, 2025
Status: Introduced
Primary sponsor: Jacqui Irwin (sole sponsor)
Last action: Re-referred to Com. on P. & C.P. (April 24, 2025)

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

The text acknowledges and addresses multiple aspects of artificial intelligence (AI), particularly around cybersecurity and the development of frameworks for AI-related activities. The references to the California AI Cybersecurity Collaboration Playbook and automated decision systems show an emphasis on safeguarding public and private sectors from potential AI-driven threats, connecting closely with the Social Impact category. Additionally, it establishes guidelines for overseeing data sharing related to AI systems, which ties directly into Data Governance. Legislative mandates concerning human oversight and system transparency, necessary for cybersecurity, connect to System Integrity. The standards developed for AI cybersecurity performance also resonate with the Robustness category, as it requires frameworks for assessing and auditing these AI systems. Overall, the legislative focus on AI in various capacities suggests that the bill is highly relevant to each of the categories, especially concerning its implications for society, data handling, system oversight, and performance metrics, warranting a score of 5 in each instance.


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

The bill's provisions significantly impact several sectors, particularly regarding how AI is integrated and regulated within government entities for cybersecurity efforts. The direct mentions of interaction with various state departments and agencies position the legislation in the Government Agencies and Public Services sector. Additionally, the components regarding threat assessment and information sharing also tie into the General Judicial System as it pertains to legal standards surrounding AI's use in public governance. Although less emphasized, certain references to operational collaboration could touch on aspects relevant to nonprofits and NGOs for cybersecurity support. The text focuses primarily on government operations and cybersecurity, prompting strong relevance to the Government Agencies and Public Services sector and moderate relevance to the Judicial System sector. Therefore, it scores a 5 for Government Agencies and Public Services and a 3 for the Judicial System.


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

Indiana HB1601: Quantum research tax incentives.

Description: Quantum research tax incentives. Amends the state sales and use tax exemption for data centers to include projects for investments in a quantum computing research, advanced computing, and defense infrastructure network that result in a minimum qualified investment within five years of at least $50,000,000.
Summary: The bill provides property tax incentives for businesses engaging in quantum computing and advanced computing in Indiana, promoting economic development through substantial investments and job creation.
Collection: Legislation
Status date: April 16, 2025
Status: Enrolled
Primary sponsor: Edmond Soliday (10 total sponsors)
Last action: Signed by the President of the Senate (April 23, 2025)

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

Maine LD1281: An Act to Address the Safety of Nurses and Improve Patient Care by Enacting the Maine Quality Care Act

Description: An Act to Address the Safety of Nurses and Improve Patient Care by Enacting the Maine Quality Care Act
Summary: The Maine Quality Care Act mandates minimum staffing levels for direct care registered nurses in healthcare facilities, aiming to enhance nurse safety and improve patient care.
Collection: Legislation
Status date: March 25, 2025
Status: Introduced
Primary sponsor: Stacy Brenner (7 total sponsors)
Last action: Unfinished Business (March 25, 2025)

Category: None (see reasoning)

The text primarily focuses on legislation related to the quality of care and staffing requirements for nurses in healthcare facilities. It does not specifically mention AI, nor does it address the implications of AI systems in the healthcare context. Other related terms like automation or machine learning are absent, indicating that while AI could potentially impact nursing or healthcare delivery, this specific bill does not incorporate relevant AI considerations.


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

This bill relates directly to the healthcare sector, as it establishes staffing requirements for nurses in healthcare facilities to ensure adequate patient care. However, it does not mention AI specifically, which would typically limit its relevance to other sectors such as politics or government services. The focus is on patient care and nursing rather than any legislative or operational aspects involving AI implementations within healthcare.


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

Oklahoma HB1916: Artificial intelligence; Responsible Deployment of AI Systems Act; AI Council; AI Regulatory Sandbox Program; Artificial Intelligence Workforce Development Program; effective date.

Description: Artificial intelligence; Responsible Deployment of AI Systems Act; AI Council; AI Regulatory Sandbox Program; Artificial Intelligence Workforce Development Program; effective date.
Summary: The Responsible Deployment of AI Systems Act establishes regulations for AI systems in Oklahoma, mandating risk assessments, compliance with laws, and the creation of oversight councils and workforce development initiatives.
Collection: Legislation
Status date: Feb. 3, 2025
Status: Introduced
Primary sponsor: Arturo Alonso-Sandoval (sole sponsor)
Last action: Authored by Representative Alonso-Sandoval (Feb. 3, 2025)

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

The text explicitly focuses on the development, regulation, and responsible deployment of artificial intelligence systems. It outlines various evaluations, audits, and risk classifications that AI systems must undergo, thereby addressing potential societal impacts, risks to individuals, and calls for transparency. This directly aligns with aspects of Social Impact, especially concerning accountability, bias, and ethical use of AI. The sections on governance and oversight indicate a strong relevance to System Integrity as they require qualified oversight, documentation, and independent audits of AI systems, ensuring security and compliance with existing laws. Additionally, it touches on elements of Data Governance by requiring the identification of potential biases in AI data sets and compliance with data privacy laws. Robustness is also relevant since the bill mandates assessments and audits that function as benchmarks for AI systems' performance. Overall, Social Impact and System Integrity are the two most relevant categories, with Data Governance and Robustness following closely behind.


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

The text explicitly addresses the use and regulation of artificial intelligence across various sectors. It primarily relates to Government Agencies and Public Services, where AI systems are deployed, monitored, and evaluated according to the established guidelines. It also involves the Judicial System as it touches on potential impacts on civil liberties and rights, emphasizing accountability in AI systems used in decision-making processes. The legislation likely differs from sectors such as Healthcare and Private Enterprises mainly because it focuses on regulatory frameworks rather than specific applications or implications of AI therein. It could impact Academic and Research Institutions through the introduction of the Artificial Intelligence Workforce Development Program, promoting AI-related education and training. However, due to its broad scope regarding governance and oversight of AI systems and implications across public services, its strongest alignment is with Government Agencies and Public Services.


Keywords (occurrence): artificial intelligence (13) deepfake (1) show keywords in context

Maine LD1301: An Act to Prohibit the Use of Artificial Intelligence in the Denial of Health Insurance Claims

Description: An Act to Prohibit the Use of Artificial Intelligence in the Denial of Health Insurance Claims
Summary: The bill prohibits health insurers from using artificial intelligence to deny or adjust health insurance claims unless a qualified clinical peer reviews the decision, ensuring fair treatment.
Collection: Legislation
Status date: March 25, 2025
Status: Introduced
Primary sponsor: Michael Tipping (10 total sponsors)
Last action: In concurrence. ORDERED SENT FORTHWITH. (March 25, 2025)

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

The text directly addresses the impact of AI within the healthcare sector, specifically prohibiting its use for denying health insurance claims, which fundamentally touches on accountability, fairness, and discrimination in AI systems. It outlines clear protections against AI-driven discrimination based on a variety of important factors, indicating a commitment to reducing potential harms associated with AI in this context. This makes it highly relevant to the 'Social Impact' category, while the detailed requirements for AI use and governance can be associated with 'Data Governance.' The criteria set forth for AI utilization also indicate a degree of concern for ensuring the integrity and reliability of these systems, but they are not the primary focus, aligning 'System Integrity' and 'Robustness' at a lesser degree as the text emphasizes accountability and fairness over technical performance metrics.


Sector:
Healthcare
Private Enterprises, Labor, and Employment (see reasoning)

This legislation specifically regulates the use of AI in the healthcare context, particularly concerning insurance claims. The AI systems’ decisions must take into account individual clinical circumstances and provider recommendations, emphasizing fairness and transparency. This bill significantly engages the healthcare sector by addressing direct implications of AI on health insurance processes. Additionally, the mention of proper governance of AI usage aligns it with regulations relevant to the healthcare sector. Thus, the relevance to both 'Healthcare' and indirectly to 'Private Enterprises, Labor, and Employment' is noteworthy, but the primary focus remains on healthcare.


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

California SB52: Housing rental terms: algorithmic devices.

Description: An act to add Section 1947.16 to the Civil Code, relating to housing.
Summary: The bill prohibits the sale or use of rental pricing algorithms for setting residential rental rates, aimed at curbing inflated prices and promoting fair competition in California's housing market.
Collection: Legislation
Status date: June 2, 2025
Status: Engrossed
Primary sponsor: Sasha Renee Perez (sole sponsor)
Last action: From committee with author's amendments. Read second time and amended. Re-referred to Com. on JUD. (June 26, 2025)

Keywords (occurrence): artificial intelligence (1) algorithm (26) show keywords in context

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill introduces various public bills and resolutions addressing topics such as workforce development, energy security, and healthcare improvements, aiming to enhance community resilience and support diverse sectors.
Collection: Congressional Record
Status date: Feb. 21, 2025
Status: Issued
Source: Congress

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

Energy (Executive Session)

Summary: The bill aims to end President Trump's energy emergency declaration, citing concerns over increasing power demands and risks of blackouts due to a shaky electric grid and fossil fuel reduction.
Collection: Congressional Record
Status date: Feb. 25, 2025
Status: Issued
Source: Congress

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

California SB384: Preventing Algorithmic Price Fixing Act: prohibition on certain price-setting algorithm uses.

Description: An act to add Chapter 40 (commencing with Section 22949.85) to Division 8 of the Business and Professions Code, relating to business.
Summary: The Preventing Algorithmic Price Fixing Act prohibits the use of price-fixing algorithms for setting prices or rents, allowing for civil penalties and an affirmative defense if due diligence is conducted.
Collection: Legislation
Status date: June 3, 2025
Status: Engrossed
Primary sponsor: Aisha Wahab (sole sponsor)
Last action: From committee with author's amendments. Read second time and amended. Re-referred to Com. on JUD. (June 26, 2025)

Keywords (occurrence): artificial intelligence (3) algorithm (11) show keywords in context
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