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Legislation
About these categories

Social Impact: encompasses legislation that specifically addresses the impact of AI on society and individuals, including but not limited to; reducing the carbon footprint of AI systems, holding system developers accountable for the outputs of these systems, the establishment of new fairness and bias metrics to guard against AI-driven discrimination, the use of AI by minors, consumer protections for AI products, regulations that address psychological, physical, or material harm caused by interactions with AI systems, and the role of AI in misinformation, public discourse, and the erosion of trust in public institutions.

Data Governance: encompasses legislation that specifically addresses the secure and accurate collection and management of data within AI systems, including but not limited to; mandates for rectifying inaccuracies in AI data sets, mandates for ensuring AI data sets are free from biases, regulations that address intellectual property concerns with the unauthorized use of protected material in AI data sets, and requirements for data encryption, data anonymization, controlled access, and compliance with consumer privacy laws.

System Integrity: encompasses legislation that specifically addresses the inherent security, transparency, and control of AI systems, including but not limited to; mandates for human intervention and oversight in AI processes, standards for the interoperability of AI systems in essential services, and the implementation of security measures such as threat modeling, penetration testing, and incident response.

Robustness: encompasses legislation that specifically addresses the development and adoption of new benchmarks for AI performance, including but not limited to; the certification of AI systems against new benchmarks, ensuring compliance with international standards, requirements for auditing and transparent reporting to verify continuous regulatory compliance, and the creation of specialized oversight bodies.

About these sectors

Politics and Elections: encompasses legislation that specifically addresses the use and regulation of AI in political campaigns, electoral processes, and related legislative activities.

Government Agencies and Public Services: encompasses legislation that specifically addresses the use and regulation of AI by state and federal government agencies, as well as AI applications in the delivery of public services and enhancing government operations.

Judicial System: encompasses legislation that specifically addresses the use and regulation of AI by judicial and legal systems, including but not limited to the use of AI in case management and legal decision making.

Healthcare: encompasses legislation that specifically addresses the use and regulation of AI in healthcare settings, including but not limited to AI applications within hospitals and clinics, the development of AI-enabled diagnostic tools and related medical technologies, and the management of medical data.

Private Enterprises, Labor, and Employment: encompasses legislation that specifically addresses the use and regulation of AI in business environments, ensuring fair competition, and the effects of AI on labor markets, employment practices, and corporate governance.

Academic and Research Institutions: encompasses legislation that specifically addresses the use and regulation of AI in educational and research contexts.

International Cooperation and Standards: encompasses laws and agreements that address international cooperation on AI development, use, and regulation, including but not limited to multinational standards, cross-border data practices, and global ethical guidelines for AI.

Nonprofits and NGOs: encompasses legislation that specifically addresses the use and regulation of AI by nonprofits and non-governmental organizations and institutions.

Hybrid, Emerging, and Unclassified: encompasses legislation that doesn't neatly fit into other categories, as well as the application of AI in hybrid or emerging sectors.

Clear All

5039 results:


Illinois HB2945: FOIA-ENGINEERING PROPOSALS

Description: Amends the Freedom of Information Act. Provides that proposals or bids submitted by engineering consultants in response to requests for proposal or other competitive bidding requests by the Department of Transportation or the Illinois Toll Highway Authority are exempt from disclosure under the Act.
Summary: The bill exempts engineering proposals and bids submitted to the Illinois Department of Transportation and Toll Highway Authority from the Freedom of Information Act, enhancing confidentiality in procurement processes.
Collection: Legislation
Status date: Feb. 16, 2023
Status: Introduced
Primary sponsor: Michael Marron (sole sponsor)
Last action: Referred to Rules Committee (Feb. 16, 2023)

Category: None (see reasoning)

The text provided primarily concerns amendments to the Freedom of Information Act in Illinois that relate to the handling of proposals or bids submitted by engineering consultants. The amendments do not explicitly address AI technologies or issues. Therefore, the categories need to be evaluated based on how closely the text relates to AI in the context of social implications, governance of data, integrity of systems, or robustness of processes. Given that AI is not mentioned within the text and none of the categories of legislation directly apply, relevance is low across the board. However, there is a mention of 'automated data processing operations' in part (o), which may relate slightly to System Integrity, but it is minimal and does not explicitly discuss any AI systems or frameworks. Thus, all categories scored a 1, indicating that they are not relevant.


Sector: None (see reasoning)

The legislation does not mention the sectors outlined. There is no discussion regarding the impact of AI on political processes, public services, the judicial system, healthcare, business environments, academic institutions, international standards, nonprofit organizations, or hybrid/emerging sectors. The text solely revolves around legislative amendments that handle the management of bids and proposals with no link to AI applications or their sectors. As such, all sectors are rated 1 for not relevant.


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

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill includes various proposals, such as amending tax codes, enhancing veterans' benefits, and regulating AI voice systems, aimed at addressing diverse policy areas and improving governance.
Collection: Congressional Record
Status date: Jan. 13, 2025
Status: Issued
Source: Congress

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

TEXT OF AMENDMENTS

Summary: The bill includes amendments requiring the Secretary of Homeland Security to detain aliens charged with theft and establishes a fund for constructing barriers at the southern border, while also providing pathways for certain noncitizen veterans to obtain legal status and healthcare.
Collection: Congressional Record
Status date: Jan. 13, 2025
Status: Issued
Source: Congress

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

New Jersey S3432: Establishes Next New Jersey Program for artificial intelligence investments.

Description: Establishes Next New Jersey Program for artificial intelligence investments.
Summary: The Next New Jersey Program Act promotes artificial intelligence investments by offering tax credits to businesses developing AI technologies, creating jobs, and meeting sustainability standards, thus boosting economic growth in New Jersey.
Collection: Legislation
Status date: July 25, 2024
Status: Passed
Primary sponsor: Raj Mukherji (10 total sponsors)
Last action: Approved P.L.2024, c.49. (July 25, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

This bill establishes the 'Next New Jersey Program,' which aims to promote investment in the field of artificial intelligence. It includes explicit references to AI-related innovations and acknowledges various AI-related activities, such as the development of AI algorithms and software, which directly connects to the social impact of AI in terms of job creation and economic development. It also establishes tax credits based on AI engagement, which may entail considerations of fairness and ethical implications in the labor market. Thus, there is a direct and significant connection to social impact, as these investments raise questions about equity and opportunity in technology access. Regarding data governance, while there are implications about managing data for AI systems, the bill lacks specificity around biases or inaccuracies. For system integrity, while there is foundational governance involved in managing AI-related businesses, there is minimal focus on overarching security protocols or transparency standards. Lastly, the robustness of AI systems isn't directly addressed in terms of performance benchmarks or certification processes. Therefore, the relevance scores vary based on the depth of AI engagement in each area related to the categories described.


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

The bill is particularly relevant to sectors that involve AI's development and usage in business, indicating strong ties to technology startups, and economic development related to AI innovations in New Jersey. It addresses the potential impact of AI in public and private sectors but does not focus on the political ramifications specifically, nor does it detail the application of AI within governmental agencies, the judicial system, or healthcare settings. While it highlights the importance of developing AI technologies, its primary intent appears to cater to the economic aspect rather than to a niche within established sectors. As such, it does not particularly align with the parameters of most sectors beyond 'Private Enterprises, Labor, and Employment' and 'Academic and Research Institutions', where there is some relevance to job creation and AI engagement in technology startups in research contexts.


Keywords (occurrence): artificial intelligence (8) machine learning (2) deep learning (1) show keywords in context

New York A06540: Requires generative artificial intelligence providers to include provenance data on synthetic content produced or modified by a generative artificial intelligence system that the generative artificial intelligence provider makes available; provides for the repeal of certain provisions relating th...

Description: Requires generative artificial intelligence providers to include provenance data on synthetic content produced or modified by a generative artificial intelligence system that the generative artificial intelligence provider makes available; provides for the repeal of certain provisions relating thereto.
Summary: The bill, known as the "Stop Deepfakes Act," mandates generative AI providers to include provenance data on synthetic content they produce, ensuring transparency about its origin and modifications.
Collection: Legislation
Status date: March 5, 2025
Status: Introduced
Primary sponsor: Alex Bores (sole sponsor)
Last action: print number 6540a (May 2, 2025)

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

The AI-related portions of the text focus significantly on the implementation of provenance data for synthetic content created or modified by generative artificial intelligence systems. This gives rise to implications across all four categories. The Social Impact category is relevant due to the law's implications for misinformation, trust, and accountability regarding AI-generated content—a significant societal concern. Data Governance is also highly relevant, as the legislation establishes requirements for documenting the origins and modifications of content produced by AI systems, which directly relates to accurate data management. System Integrity pertains to the security and accuracy of the AI outputs as it ensures protocols on how such data is used and maintained, emphasizing the need for oversight. Robustness is relevant due to setting standards for evaluating AI systems' generative capabilities, as it sets benchmarks for the generations of synthetic media. Overall, all categories have a meaningful connection to the text due to its emphasis on the regulation of generative AI systems and their societal implications.


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

The text primarily relates to various sectors, especially focusing on AI's interaction with issues surrounding misinformation and societal trust associated with synthetic media. The potential implications for politics and elections arise concerning misinformation during campaigns. There is also clear relevance for government agencies and public services due to their role in implementing and adapting to the regulations imposed by the law. However, while the healthcare sector may touch upon AI's implications, its direct relevance is lower here. Academic and research institutions may benefit through research in AI governance and ethics. Overall, while several sectors are touched upon, primarily the most relevance lies within government oversight and potential impacts on political processes.


Keywords (occurrence): artificial intelligence (20) automated (1) show keywords in context

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill introduces multiple public bills addressing various issues, including veterans' care access, funding restrictions, and infrastructure improvements, with a focus on supporting specific demographics and organizations.
Collection: Congressional Record
Status date: Jan. 9, 2025
Status: Issued
Source: Congress

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

Nebraska LB77: Adopt the Ensuring Transparency in Prior Authorization Act

Description: Adopt the Ensuring Transparency in Prior Authorization Act
Summary: The Ensuring Transparency in Prior Authorization Act mandates clearer prior authorization processes and timelines for health care services in Nebraska, aiming to improve transparency and efficiency in health insurance practices.
Collection: Legislation
Status date: Jan. 9, 2025
Status: Introduced
Primary sponsor: Eliot Bostar (sole sponsor)
Last action: Notice of hearing for February 10, 2025 (Jan. 27, 2025)

Category: None (see reasoning)

The text mainly focuses on creating a transparent system for prior authorization within the healthcare sector. While it does mention processes and entities involved in medical health care services and prior authorization, it does not address social impacts related to AI nor data governance related to machine learning methodologies explicitly. There's a lack of AI-specific topics like performance benchmarks, security, or transparency of algorithms. No keywords concerning AI or related technologies are present, and the text does not suggest any implications of AI in these systems, thus falling short in relevance across all categories.


Sector:
Healthcare (see reasoning)

This legislation primarily pertains to the insurance and healthcare sectors, focusing on the regulations around prior authorization processes. There are no mentions of AI applications or regulations specific to AI usage in healthcare, nor implications of AI on political or business practices. It solely targets administrative processes within health benefit plans. The lack of connection to AI leads to a low relevance score across all sectors.


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

LEGISLATIVE SESSION

Summary: The Laken Riley Act mandates the detention of undocumented immigrants charged with crimes such as theft, aiming to enhance public safety and prevent further offenses.
Collection: Congressional Record
Status date: Jan. 15, 2025
Status: Issued
Source: Congress

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

Texas HB5118: Relating to the use of an automated employment decision tool by an employer to assess a job applicant's fitness for a position.

Description: Relating to the use of an automated employment decision tool by an employer to assess a job applicant's fitness for a position.
Summary: The bill regulates the use of automated employment decision tools by requiring bias audits and applicant notification, promoting fair hiring practices and preventing discrimination in Texas.
Collection: Legislation
Status date: March 13, 2025
Status: Introduced
Primary sponsor: Salman Bhojani (sole sponsor)
Last action: Filed (March 13, 2025)

Category:
Societal Impact
Data Governance (see reasoning)

The text discusses the use of an automated employment decision tool, which directly involves artificial intelligence and algorithmic processes in assessing job applicants. This incorporates AI technologies, their impact on employment practices, and emphasizes fairness and bias audits, making it particularly relevant to the Social Impact category. Also, it addresses the auditing of the algorithms for biases, linking closely to Data Governance. The legislation does not address system integrity or robustness in terms of compliance or benchmarking but focuses on employment decisions, fairness, disclosure, and bias reduction in automated tools. Hence, it is most relevant to Social Impact and Data Governance.


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

The legislation is substantially oriented toward the use of AI in hiring processes, which clearly ties into Private Enterprises, Labor, and Employment. It specifies how AI tools should be used by employers to evaluate job applicants, which directly engages with labor market regulations and corporate governance regarding fairness in hiring practices. While there could be a tangential connection to Government Agencies through the involvement of the Texas Workforce Commission for oversight, the primary relevance lies in the employment sector. Therefore, the strongest sector fit is with Private Enterprises, Labor, and Employment, with lesser relevance to Government Agencies.


Keywords (occurrence): artificial intelligence (2) machine learning (2) automated (9) algorithm (1) show keywords in context

Louisiana HB608: Creates the Louisiana Atmospheric Protection Act

Description: Creates the Louisiana Atmospheric Protection Act
Summary: The Louisiana Atmospheric Protection Act prohibits weather modification activities, establishes penalties for violations, and creates an Atmospheric Protection Fund. Its goal is to prevent harmful atmospheric interventions.
Collection: Legislation
Status date: April 4, 2025
Status: Introduced
Primary sponsor: Kimberly Coates (2 total sponsors)
Last action: Under the rules, provisionally referred to the Committee on Natural Resources and Environment. (April 4, 2025)

Keywords (occurrence): machine learning (4) show keywords in context

New York S03005: Enacts into law major components of legislation necessary to implement the state public protection and general government budget for the 2025-2026 state fiscal year; extends provisions of law relating to criminal justice including the psychological testing of candidates, expanding the geographic ...

Description: Enacts into law major components of legislation necessary to implement the state public protection and general government budget for the 2025-2026 state fiscal year; extends provisions of law relating to criminal justice including the psychological testing of candidates, expanding the geographic area of employment of certain police officers, prisoner furloughs in certain cases and the crime of absconding therefrom, correctional facilities, incarcerated individual work release, furlough and le...
Summary: The bill implements key legislation for New York's 2025-2026 budget, addressing criminal justice reforms, police hiring practices, prisoner furlough policies, and expanding victim protections.
Collection: Legislation
Status date: Jan. 22, 2025
Status: Introduced
Primary sponsor: Budget (sole sponsor)
Last action: SUBSTITUTED BY A3005C (May 7, 2025)

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

PROTECTING THE RIGHTS AND SAFETY OF WOMEN

Summary: The bill focuses on protecting the rights and safety of women and girls by prohibiting biological males from competing in women's sports and instituting deportation policies for illegal immigrants convicted of violence against women.
Collection: Congressional Record
Status date: Jan. 15, 2025
Status: Issued
Source: Congress

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

Text of Senate Amendment 42

Summary: The bill establishes protections for victims of crimes committed by undocumented aliens, creating a Victims of Immigration Crime Engagement Office to provide support and resources for affected families.
Collection: Congressional Record
Status date: Jan. 14, 2025
Status: Issued
Source: Congress

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

New York A10020: Prohibits landlords from using, or contracting for the use of, algorithmic devices to set the amount of rent to charge a residential tenant; imposes additional disclosure requirements regarding a landlord's collection and use of a tenant's personal information.

Description: Prohibits landlords from using, or contracting for the use of, algorithmic devices to set the amount of rent to charge a residential tenant; imposes additional disclosure requirements regarding a landlord's collection and use of a tenant's personal information.
Summary: This bill prohibits landlords in New York from using algorithmic pricing to determine residential rent and mandates increased transparency regarding tenants' personal data usage by landlords.
Collection: Legislation
Status date: May 1, 2024
Status: Introduced
Primary sponsor: Linda Rosenthal (sole sponsor)
Last action: referred to housing (May 1, 2024)

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

North Carolina H934: AI Regulatory Reform Act

Description: AI Regulatory Reform Act
Summary: The AI Regulatory Reform Act creates penalties for the unlawful distribution of deepfakes and grants civil liability immunity to AI developers when their products are used by licensed professionals.
Collection: Legislation
Status date: April 10, 2025
Status: Introduced
Primary sponsor: Jake Johnson (14 total sponsors)
Last action: Re-ref Com On Election Law (May 6, 2025)

Keywords (occurrence): artificial intelligence (7) deepfake (13) algorithm (1) show keywords in context

Arizona SB1370: Civil penalties; commercial motor vehicles

Description: Civil penalties; commercial motor vehicles
Summary: Senate Bill 1370 amends various sections of the Arizona Revised Statutes concerning civil penalties for commercial motor vehicles, refining definitions and regulations to enhance safety and compliance standards within the industry.
Collection: Legislation
Status date: May 2, 2025
Status: Passed
Primary sponsor: Kevin Payne (sole sponsor)
Last action: Chapter 101 (May 2, 2025)

Keywords (occurrence): automated (8) autonomous vehicle (3) show keywords in context

Connecticut SB01484: An Act Implementing Artificial Intelligence Protections For Employees.

Description: To (1) limit the use of electronic monitoring by an employer, and (2) establish various requirements concerning the use of artificial intelligence systems by employers.
Summary: This bill establishes protections for employees against the misuse of artificial intelligence and electronic monitoring by employers. It regulates monitoring practices, mandates transparency, and prohibits discriminatory impacts from AI systems.
Collection: Legislation
Status date: March 6, 2025
Status: Introduced
Primary sponsor: Labor and Public Employees Committee (sole sponsor)
Last action: Favorable Report, Tabled for the Calendar, Senate (May 7, 2025)

Keywords (occurrence): artificial intelligence (33) automated (4) show keywords in context

:

Description:
Summary:
Collection:
Status date:
Status:
Primary sponsor: ( total sponsors)
Source:
Last action: ()

Category: None (see reasoning)


Sector: None (see reasoning)


Keywords (occurrence): artificial intelligence () machine learning () neural network () deep learning () automated () deepfake () synthetic media () large language model () foundation model () chatbot () recommendation system () algorithm () autonomous vehicle ()

North Carolina H970: Preventing Algorithmic Rent Fixing

Description: Preventing Algorithmic Rent Fixing
Summary: The bill aims to prevent algorithmic rent fixing in North Carolina's rental housing market by prohibiting real estate lessors from using nonpublic data to coordinate rental pricing.
Collection: Legislation
Status date: April 10, 2025
Status: Introduced
Primary sponsor: Tim Longest (12 total sponsors)
Last action: Ref To Com On Rules, Calendar, and Operations of the House (April 14, 2025)

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

North Carolina H1004: UNC AI & Technology Hubs

Description: UNC AI & Technology Hubs
Summary: The bill appropriates funds to establish Artificial Intelligence (AI) and technology hubs at North Carolina's University system, fostering innovation, workforce development, and AI research while ensuring economic growth and ethical standards.
Collection: Legislation
Status date: April 10, 2025
Status: Introduced
Primary sponsor: Zack Forde-Hawkins (10 total sponsors)
Last action: Ref to the Com on Appropriations, if favorable, Rules, Calendar, and Operations of the House (April 14, 2025)

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