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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

5024 results:


Nevada SB395: Revises provisions relating to autonomous vehicles. (BDR 43-61)

Description: AN ACT relating to autonomous vehicles; revising requirements for a human operator to be present in an autonomous vehicle during operation; and providing other matters properly relating thereto.
Summary: The bill revises regulations on autonomous vehicles in Nevada, requiring a licensed human operator for certain heavy or passenger-carrying vehicles during operation to ensure safety.
Collection: Legislation
Status date: March 17, 2025
Status: Introduced
Primary sponsor: James Ohrenschall (sole sponsor)
Last action: From printer. To committee. (March 18, 2025)

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

The text revolves around the legislation concerning autonomous vehicles, focusing particularly on their operational requirements and the role of human operators, which directly ties to the implications of AI in automated driving systems. Given that there's a clear reference to the 'automated driving system' and provisions for operation of 'fully autonomous vehicles', the relevance to AI is significant. Additionally, the legislation's implications on safety, control, and regulation of AI systems showcase both social impact and system integrity. Data governance and robustness might also have relevance, but they are more indirect compared to social impact and system integrity, which are clearly indicated by the need for human oversight and accountability in system failure scenarios.


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

This legislation primarily pertains to the sector of Government Agencies and Public Services as it deals with the regulation of autonomous vehicles, which falls under the purview of state laws and the Department of Motor Vehicles. The context of operational mandates and the role of human authority directly correlates to the utilization of AI in government functions. While it has implications for other sectors, such as Private Enterprises concerning commercial licensing and the operations of transportation businesses, the primary focus remains on governmental regulation and oversight.


Keywords (occurrence): automated (8) autonomous vehicle (15) show keywords in context

Texas SB2966: Relating to establishing a framework to govern the use of artificial intelligence systems in critical decision-making by private companies and ensure consumer protections; authorizing a civil penalty.

Description: Relating to establishing a framework to govern the use of artificial intelligence systems in critical decision-making by private companies and ensure consumer protections; authorizing a civil penalty.
Summary: The bill establishes a framework for private companies using artificial intelligence in critical decision-making to protect consumers, including a civil penalty for non-compliance.
Collection: Legislation
Status date: March 14, 2025
Status: Introduced
Primary sponsor: Charles Schwertner (sole sponsor)
Last action: Filed (March 14, 2025)

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

The text explicitly addresses the use of artificial intelligence systems in critical decision-making by private companies, emphasizing consumer protections. It introduces a framework for managing AI-related impacts, especially focused on consequential decisions that affect consumers. Therefore, it is highly relevant to the Social Impact category as it deals with accountability, fairness, and the potential harm from automated decision-making systems. The Data Governance category is relevant as well, since the bill discusses governance measures related to data usage in AI systems, particularly in ensuring that consumer protections are considered. The System Integrity category is moderately relevant as it relates to the governance and accountability of AI systems, though it does not delve deeply into security or transparency measures. The Robustness category is less relevant as it does not address performance benchmarks or certification processes for AI systems directly. Overall, the main focus of the bill aligns closely with Social Impact and Data Governance.


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

The text focuses on the role of artificial intelligence in critical decision-making by private companies, which connects primarily to the sector of Private Enterprises, Labor, and Employment. It emphasizes ensuring consumer protections within this context, which is pivotal for business practices involving AI. There is some overlap with Government Agencies and Public Services due to the potential implications for policy frameworks governing AI use; however, the emphasis on private companies is stronger. The other sectors, such as Politics and Elections, Judicial System, Healthcare, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, do not have significant relevance based on the content of this text.


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

United States SB146: Tools to Address Known Exploitation by Immobilizing Technological Deepfakes on Websites and Networks Act TAKE IT DOWN Act

Description: A bill to require covered platforms to remove nonconsensual intimate visual depictions, and for other purposes.
Summary: The TAKE IT DOWN Act mandates platforms to remove nonconsensual intimate visual depictions and digital forgeries, enforcing penalties for violators, thereby protecting individuals' privacy and dignity online.
Collection: Legislation
Status date: Feb. 14, 2025
Status: Engrossed
Primary sponsor: Ted Cruz (22 total sponsors)
Last action: Motion to reconsider laid on the table Agreed to without objection. (April 28, 2025)

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

The TAKE IT DOWN Act explicitly addresses the issue of nonconsensual intimate visual depictions, which are often produced or manipulated by using technologies related to AI, such as machine learning and deepfake technology. The relevance to 'Social Impact' is significant as the legislation seeks to safeguard individuals from psychological and reputational harm, targeting exploitation through digital forgeries—a form of AI manipulation. The act prompts a response to the societal consequences of AI technology in terms of safety and privacy. For 'Data Governance', the act touches upon the management and reporting processes when dealing with nonconsensual content, highlighting potential implications related to user data handling and consent, though it doesn’t delve deeply into data privacy or rectification mandates. 'System Integrity' is relevant due to the act’s focus on requiring platforms to maintain mechanisms for users to report and remove harmful content, indicating a need for secure and transparent process enforcement. Finally, 'Robustness' is not as directly applicable, as the act does not focus heavily on performance benchmarks or systemic compliance measures. Overall, the act is very relevant to the societal impacts of AI manipulation, while also moderately addressing data governance and system integrity.


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

The text primarily addresses how nonconsensual intimate visual depictions should be handled, which has direct implications in the sectors of 'Government Agencies and Public Services' as it involves legal structures and enforcement mechanisms. As the act mandates accountability from platforms, it also indirectly touches on 'Judicial System' issues related to legal proceedings against violators and the protection of identifiable individuals. However, there is limited direct reference to specific applications in 'Healthcare', 'Private Enterprises', or 'Academic Institutions', which diminishes their relevance. 'Politics and Elections' is similarly not relevant since the act does not discuss AI regulation in political contexts. Thus, the relevant sectors primarily revolve around the governmental and regulatory aspects, with a lower likelihood of application in other sectors.


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

Nebraska LB77: Adopt the Ensuring Transparency in Prior Authorization Act and provide for insurance and medicaid coverage of biomarker testing

Description: Adopt the Ensuring Transparency in Prior Authorization Act and provide for insurance and medicaid coverage of biomarker testing
Summary: The Ensuring Transparency in Prior Authorization Act mandates clearer processes for prior authorization in healthcare, requires insurance and Medicaid coverage for biomarker testing, and aims to enhance transparency and efficiency in patient care decisions.
Collection: Legislation
Status date: June 5, 2025
Status: Passed
Primary sponsor: Eliot Bostar (sole sponsor)
Last action: Approved by Governor on June 4, 2025 (June 5, 2025)

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

California SB1220: Public benefits contracts: phone operator jobs.

Description: An act to amend, repeal, and add Section 12140 of, and to amend the heading of Chapter 3.7 (commencing with Section 12140) of Part 2 of Division 2 of, the Public Contract Code, relating to public contracts.
Summary: California Senate Bill 1220 mandates that state and local agencies contract call center services for public benefits exclusively with California workers, prohibiting the use of AI to automate core job functions until 2030.
Collection: Legislation
Status date: Aug. 30, 2024
Status: Enrolled
Primary sponsor: Monique Limon (2 total sponsors)
Last action: Enrolled and presented to the Governor at 4 p.m. (Sept. 10, 2024)

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

This legislation is highly relevant to the Social Impact category because it explicitly addresses the implications of AI and automated systems on job functions, especially concerning workers employed in call centers related to public benefits. It emphasizes job security and the potential risks that AI can pose to employment, focusing on eliminating or automating core job functions, which directly relates to societal job impacts. Moreover, it mandates notifications and assessments regarding AI's use in a manner that protects workers' rights and calls for accountability from contractors, highlighting significant social considerations tied to AI. For the Data Governance category, the bill implies safeguards around data used in AI systems through mandated impact assessments and transparency requirements but does not explicitly provide detailed data governance measures, thus receiving a lower relevance score. The System Integrity category receives a relevance score as the legislation discusses mandates for contractor accountability and compliance, but it does not focus deeply on the overarching security or transparency of AI systems generally. For Robustness, it has moderate relevance due to the mention of assessment and reporting requirements but lacks more comprehensive frameworks for performance benchmarking or auditing of AI systems in detail.


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

The legislation closely aligns with the Government Agencies and Public Services sector since it addresses the use and regulations surrounding AI in the context of public benefit programs administered by state or local agencies. The explicit mention of call centers and the requirement for services to be performed by California workers under these agencies highlights the direct application of AI in public service delivery. While the legislation has potential implications for Private Enterprises, Labor, and Employment due to the focus on labor rights and job functions potentially being automated, it primarily governs the actions of government agencies. Other sectors such as Healthcare, Politics and Elections, and Judicial System do not find direct relevance through the provided text, concluding that the main focus of this bill lies within government functions and public services.


Keywords (occurrence): artificial intelligence (4) machine learning (1) automated (4) show keywords in context

California AB3211: California Digital Content Provenance Standards.

Description: An act to add Chapter 41 (commencing with Section 22949.90) to Division 8 of the Business and Professions Code, relating to artificial intelligence.
Summary: The California Digital Content Provenance Standards bill mandates generative AI providers to apply and disclose provenance data for synthetic content, enhancing transparency and reducing risks associated with deceptive digital content. It establishes requirements for labeling and reporting by online platforms, aiming to protect consumers and maintain trust in digital media.
Collection: Legislation
Status date: May 22, 2024
Status: Engrossed
Primary sponsor: Buffy Wicks (sole sponsor)
Last action: Read second time. Ordered to third reading. (Aug. 26, 2024)

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

The proposed California Provenance, Authenticity, and Watermarking Standards Act focuses heavily on the implications of generative artificial intelligence (GenAI) technologies in society, especially regarding the authenticity and provenance of synthetic content. This directly relates to the Social Impact category, as it emphasizes the potential harms of GenAI, addressing issues such as misinformation, public trust, and transparency which affect societal norms and individual behaviors. The mandate for disclosure and labeling of synthetic content is a clear attempt to mitigate psychological and material harms related to this technology. In terms of Data Governance, the bill establishes stringent requirements for data management practices, including the creation of provenance data tied to AI-generated content and the obligation to report vulnerabilities. This aligns closely with the category’s focus on secure and accurate data collection. The bill also mentions the necessity for AI red-teaming exercises and public safety notifications, which indicate concerns about systemic integrity, placing it within the System Integrity domain. In regards to Robustness, the text discusses compliance and auditing mandates for generative AI providers, suggesting a framework for maintaining performance standards. Therefore, the act is relevant to all categories but especially so for Social Impact and Data Governance due to the emphasis on transparency, safety, and societal impacts of AI.


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

This legislation has significant implications across multiple sectors. In the context of Politics and Elections, the mention of GenAI's potential to skew election results highlights direct relevance, especially regarding transparency and voter trust. For Government Agencies and Public Services, the bill mandates compliance from state departments concerning the watermarking of AI-generated content, showcasing its applicability in governance. It touches upon the Judicial System in terms of potential legal ramifications from misuse of synthetic content, although this is less direct. In the Healthcare sector, while it doesn't explicitly address AI applications, principles of authenticity and provenance can apply to medical data and tools, but it is not primary enough for significant relevance. The Private Enterprises, Labor, and Employment sector is relevant because companies using generative AI will need to comply with the new regulations. However, Academic and Research Institutions may only find slight relevance due to a lack of explicit connection to academic research. Lastly, there is broad relevance in terms of International Cooperation and Standards, particularly regarding how California's regulations may influence or need to align with global standards for technology and AI. Overall, key sectors impacted most prominently are Politics and Elections, Government Agencies and Public Services, and Private Enterprises.


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

Illinois SB1920: SCH CD-ASL IMPLEMENTATION

Description: Amends the School Code. Requires the State Board of Education to develop statewide guidance for school districts and educators on the use of artificial intelligence in elementary and secondary education. Requires, no later than July 1, 2026, the State Board of Education to encourage school districts to collect teaching resources to support American Sign Language programs. With respect to educator licensure, provides that, on or before July 1, 2026, the State Board of Education shall post publ...
Summary: The bill establishes guidance for the use of artificial intelligence in education and promotes American Sign Language instruction in Illinois schools, emphasizing student privacy and diversity in teaching resources.
Collection: Legislation
Status date: May 31, 2025
Status: Enrolled
Primary sponsor: Doris Turner (10 total sponsors)
Last action: Passed Both Houses (May 31, 2025)

Keywords (occurrence): artificial intelligence (11) machine learning (1) show keywords in context

Nevada SB398: Revises provisions relating to health insurance. (BDR 57-731)

Description: AN ACT relating to insurance; revising provisions relating to prior authorization for certain medical and dental care; revising provisions relating to the coverage of autism spectrum disorders for certain persons; prohibiting health insurers from considering the availability of certain public benefits for certain purposes; and providing other matters properly relating thereto.
Summary: Senate Bill 398 revises health insurance provisions, enhancing prior authorization processes, extending autism coverage, and prohibiting insurers from considering certain public benefits in claims processing.
Collection: Legislation
Status date: March 17, 2025
Status: Introduced
Primary sponsor: Lori Rogich (sole sponsor)
Last action: From printer. To committee. (March 19, 2025)

Category:
Societal Impact (see reasoning)

The text primarily pertains to health insurance regulations, specifically regarding prior authorization processes for medical and dental care, which can broadly relate to Social Impact through effects on patient access to care and fairness in treatment decisions. However, it does not explicitly address AI technologies or their implications, leading to limited relevance in other categories such as Data Governance, System Integrity, or Robustness. There is no mention of algorithms, AI, or related terms that would suggest a direct connection to systematic concerns regarding transparency or security in AI systems. As such, scores reflect limited and indirect relevance primarily linked to the social aspects of healthcare rather than direct AI implications.


Sector:
Healthcare (see reasoning)

The text is highly relevant to the Healthcare sector as it specifically discusses provisions related to health insurance and prior authorizations for medical and dental care. The legislative changes outlined directly affect the delivery of health services, impact patient rights, and modify regulations for healthcare providers and insurers alike. Therefore, a high score reflects its direct association with healthcare contexts. Other sectors are not applicable as there is no mention of political processes, judicial systems, education, or private enterprises regarding AI in this specific text.


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

Montana SB452: Require disclosures of AI use by online media manufacturers

Description: Require disclosures of AI use by online media manufacturers
Summary: The bill mandates online media manufacturers in Montana to disclose AI usage in content creation, provide opt-out options for users, and include identifiable markers for AI-generated materials.
Collection: Legislation
Status date: Feb. 24, 2025
Status: Introduced
Primary sponsor: Daniel Emrich (sole sponsor)
Last action: (S) Referred to Committee (S) Energy, Technology & Federal Relations (Feb. 24, 2025)

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

This legislation makes clear that it is focused on the requirements for manufacturers of online media that utilize artificial intelligence (AI). It addresses the impacts of AI on society, particularly regarding media consumption, making it highly relevant to the 'Social Impact' category. The requirement for disclosures about AI use aims to enhance transparency and consumer trust, which are crucial societal concerns. The legislation touches upon consumer protections, as it allows users to opt out and mandates visibility of AI utilization through identifiable markers. The 'Data Governance' category is relevant as it involves how data, especially in the context of AI-generated media, is managed and presented transparently to consumers. The 'System Integrity' category is relevant since the bill requires that AI's use in online media be clearly indicated, which is a matter of ensuring the integrity and transparency of automated decision-making processes. Finally, while this legislation ensures some level of accountability for AI applications, it does not directly introduce benchmarks or performance standards, so the 'Robustness' category is less relevant. Overall, the text holds significant relevance to the 'Social Impact' and 'Data Governance' categories based on its focus on transparency, consumer choice, and the role of AI in public media consumption.


Sector:
Government Agencies and Public Services (see reasoning)

This legislation focuses on the relationship between AI and online media manufacturers, thereby having strong implications for how AI is utilized and disclosed in media settings. The 'Politics and Elections' sector is not directly addressed, as the legislation does not deal with electoral processes or political campaigns. However, it does have an oversight aspect that could indirectly influence public discourse and media integrity, relevant to the 'Government Agencies and Public Services' sector. The 'Judicial System' sector is less relevant as the legislation does not discuss legal implications or judicial uses of AI. The 'Healthcare', 'Private Enterprises, Labor, and Employment', 'Academic and Research Institutions', 'International Cooperation and Standards', 'Nonprofits and NGOs', and 'Hybrid, Emerging, and Unclassified' sectors are not directly discussed or implicated in this text. Overall, the primary relevance lies in the media sector's implications for transparency and accountability of AI systems in public information dissemination.


Keywords (occurrence): artificial intelligence (9) show keywords in context

New York S01169: Regulates the development and use of certain artificial intelligence systems to prevent algorithmic discrimination; requires independent audits of high risk AI systems; provides for enforcement by the attorney general as well as a private right of action.

Description: Regulates the development and use of certain artificial intelligence systems to prevent algorithmic discrimination; requires independent audits of high risk AI systems; provides for enforcement by the attorney general as well as a private right of action.
Summary: The New York AI Act regulates artificial intelligence systems to prevent algorithmic discrimination, mandates independent audits of high-risk AI, and allows enforcement by the attorney general and private citizens.
Collection: Legislation
Status date: June 12, 2025
Status: Engrossed
Primary sponsor: Kristen Gonzalez (16 total sponsors)
Last action: referred to ways and means (June 12, 2025)

Keywords (occurrence): artificial intelligence (10) automated (1) show keywords in context

United States SR158: A resolution expressing the sense of the Senate that paraprofessionals and education support staff should have fair compensation, benefits, and working conditions.

Description: A resolution expressing the sense of the Senate that paraprofessionals and education support staff should have fair compensation, benefits, and working conditions.
Summary: The bill expresses the Senate's support for fair compensation, benefits, and working conditions for paraprofessionals and education support staff, recognizing their vital role in schools and addressing ongoing disparities since the COVID-19 pandemic.
Collection: Legislation
Status date: April 7, 2025
Status: Introduced
Primary sponsor: Edward Markey (7 total sponsors)
Last action: Referred to the Committee on Health, Education, Labor, and Pensions. (text: CR S2457-2458: 1) (April 7, 2025)

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

New York A10625: Requires the division of criminal justice services to formulate a protocol for the regulation of the use of artificial intelligence and facial recognition technology in criminal investigations; restricts the use of artificial intelligence-generated outputs in court.

Description: Requires the division of criminal justice services to formulate a protocol for the regulation of the use of artificial intelligence and facial recognition technology in criminal investigations; restricts the use of artificial intelligence-generated outputs in court.
Summary: This bill mandates the creation of a protocol for regulating artificial intelligence and facial recognition technology in criminal investigations, while prohibiting their use as evidence in court to protect defendants' rights.
Collection: Legislation
Status date: June 20, 2024
Status: Introduced
Primary sponsor: Rodneyse Bichotte Hermelyn (sole sponsor)
Last action: referred to codes (June 20, 2024)

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

Rhode Island S1037: Amends the Identity Theft Protection Act by eliminating current definitions and establishing new definitions. This act also raises the penalty provisions for violations.

Description: CRIMINAL OFFENSES -- IDENTITY THEFT PROTECTION ACT OF 2015 - Amends the Identity Theft Protection Act by eliminating current definitions and establishing new definitions. This act also raises the penalty provisions for violations.
Summary: The bill amends the Identity Theft Protection Act, updating definitions and increasing penalties for violations to enhance protection of personally identifiable information in Rhode Island.
Collection: Legislation
Status date: June 10, 2025
Status: Engrossed
Primary sponsor: Victoria Gu (10 total sponsors)
Last action: Senate passed Sub A as amended (floor amendment) (June 10, 2025)

Keywords (occurrence): artificial intelligence (1)

Maine LD1727: An Act to Ensure Transparency in Consumer Transactions Involving Artificial Intelligence

Description: An Act to Ensure Transparency in Consumer Transactions Involving Artificial Intelligence
Summary: The bill requires clear disclosure when artificial intelligence chatbots are used in consumer transactions, ensuring consumers are not misled into thinking they are interacting with humans, aligning with transparency in trade practices.
Collection: Legislation
Status date: June 10, 2025
Status: Passed
Primary sponsor: Amy Kuhn (6 total sponsors)
Last action: PASSED TO BE ENACTED, in concurrence. (June 10, 2025)

Keywords (occurrence): artificial intelligence (6) chatbot (4) show keywords in context

Massachusetts S250: Relative to consumer health data

Description: For legislation relative to consumer health data. Consumer Protection and Professional Licensure.
Summary: The bill establishes the Consumer Health Data Act in Massachusetts, aiming to protect consumer health data privacy by requiring clear consent for data collection and sharing, while ensuring consumer rights to access and delete their data.
Collection: Legislation
Status date: Feb. 27, 2025
Status: Introduced
Primary sponsor: Robyn Kennedy (3 total sponsors)
Last action: House concurred (Feb. 27, 2025)

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

Oregon HB3592: Relating to artificial intelligence.

Description: Creates a commission on AI to be a central resource on the use of AI in this state. Directs the DOJ to hire a Chief Artificial Intelligence Officer. (Flesch Readability Score: 68.7). [Digest: Creates a commission on AI to be a central resource on the use of AI in this state. Directs the SCIO to hire a Chief Artificial Intelligence Officer. (Flesch Readability Score: 65.7).] Establishes the [Oregon] Senator Aaron Woods Commission on Artificial Intelligence within the Department of Justice. Est...
Summary: House Bill 3592 establishes the Senator Aaron Woods Commission on Artificial Intelligence in Oregon to monitor AI usage, assess its impacts, and recommend policies to ensure its ethical implementation.
Collection: Legislation
Status date: Feb. 18, 2025
Status: Introduced
Primary sponsor: Daniel Nguyen (16 total sponsors)
Last action: Referred to Ways and Means by prior reference. (June 12, 2025)

Keywords (occurrence): artificial intelligence (33) show keywords in context

New Jersey S4463: Prohibits advertising artificial intelligence system as licensed mental health professional.

Description: Prohibits advertising artificial intelligence system as licensed mental health professional.
Summary: The bill prohibits advertising artificial intelligence systems as licensed mental health professionals in New Jersey, making violations unlawful and subject to penalties under consumer fraud laws.
Collection: Legislation
Status date: May 19, 2025
Status: Introduced
Primary sponsor: John Burzichelli (sole sponsor)
Last action: Introduced in the Senate, Referred to Senate Commerce Committee (May 19, 2025)

Keywords (occurrence): artificial intelligence (6) machine learning (1) show keywords in context

Nevada SB63: Revises provisions relating to the processing of certain data. (BDR 52-505)

Description: AN ACT relating to the Internet; establishing certain requirements relating to de-identified data; prohibiting controllers of online services, products or features from processing the personal data of children for certain purposes; establishing requirements for the collection and processing by controllers of certain types of data belonging to children; requiring controllers to conduct certain assessments; authorizing certain civil enforcement; providing penalties; and providing other matters ...
Summary: The bill establishes new requirements for the processing of children's personal data online, including prohibiting targeted advertising and requiring parental consent, while imposing penalties for non-compliance.
Collection: Legislation
Status date: June 3, 2025
Status: Other
Primary sponsor: Commerce and Labor (sole sponsor)
Last action: (No further action taken.) (June 3, 2025)

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

New York A08884: Regulates the development and use of certain artificial intelligence systems to prevent algorithmic discrimination; requires independent audits of high risk AI systems; provides for enforcement by the attorney general as well as a private right of action.

Description: Regulates the development and use of certain artificial intelligence systems to prevent algorithmic discrimination; requires independent audits of high risk AI systems; provides for enforcement by the attorney general as well as a private right of action.
Summary: The New York AI Act regulates artificial intelligence systems to prevent algorithmic discrimination, mandates independent audits for high-risk AI, and establishes enforcement measures, including a private right of action.
Collection: Legislation
Status date: June 9, 2025
Status: Introduced
Primary sponsor: Michaelle Solages (17 total sponsors)
Last action: reference changed to ways and means (June 11, 2025)

Keywords (occurrence): artificial intelligence (10) automated (1) show keywords in context

United States SR450: A resolution expressing the sense of the Senate that paraprofessionals and education support staff should have fair compensation, benefits, and working conditions.

Description: A resolution expressing the sense of the Senate that paraprofessionals and education support staff should have fair compensation, benefits, and working conditions.
Summary: The bill expresses the Senate's support for fair compensation, benefits, and working conditions for paraprofessionals and education support staff, emphasizing their critical role in schools and advocating for improved job security and support.
Collection: Legislation
Status date: Nov. 6, 2023
Status: Introduced
Primary sponsor: Edward Markey (12 total sponsors)
Last action: Referred to the Committee on Health, Education, Labor, and Pensions. (text: CR S5361-5362) (Nov. 6, 2023)

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