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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

5046 results:


Recordkeeping.

Summary: The bill enhances recordkeeping and disclosure requirements for national banks engaged in retail forex transactions, ensuring transparency in customer account profitability, fees, and compliance with regulatory obligations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Exemption of U.S. Marshals Service Systems-limited access, as indicated.

Summary: The bill exempts various records of the U.S. Marshals Service from certain provisions of the Privacy Act to enhance law enforcement effectiveness and protect sensitive investigative information.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily discusses various exemptions related to the U.S. Marshals Service and its systems of records, focusing on law enforcement procedures and privacy protections without directly addressing AI systems or their implications. The mention of any data processing or management appears strictly in the context of law enforcement records and confidentiality, making it challenging to link it meaningfully with the categories related to AI's societal impact, governance, integrity, or robustness. Therefore, the relevance to Social Impact, Data Governance, System Integrity, and Robustness is very limited.


Sector: None (see reasoning)

The text is heavily focused on law enforcement records and the exemption of various systems related to the U.S. Marshals Service. It does not explicitly mention or imply the involvement or regulation of AI technologies within government operations or other sectors described. Thus, it is not particularly relevant to any of the sectors such as Politics and Elections, Government Agencies, the Judicial System, Healthcare, or others. The text's focus on exemptions for privacy and law enforcement underscores this lack of connection.


Keywords (occurrence): automated (2)

Requirements for flare monitoring systems.

Summary: The bill establishes requirements for flare monitoring systems, ensuring compliance with combustion efficiency standards and proper documentation for operators, while detailing the approval processes for alternative operating parameters.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The provided text primarily focuses on the requirements and specifications for continuous monitoring systems (CPMS) related to flare operations, which doesn't explicitly address the broader implications of AI in society, data governance, system integrity, or robustness. While there are some mentions of algorithms pertaining to data collection and monitoring, they do not extend to broader AI issues such as ethical implications, biases, or performance benchmarks typically seen in AI discussions. Therefore, the relevance to Social Impact, Data Governance, System Integrity, and Robustness categories is minimal.


Sector:
Government Agencies and Public Services (see reasoning)

The text discusses the regulations related to continuous monitoring systems, which could imply a connection to environmental standards in public services but does not specifically address AI applications in politics, the judicial system, healthcare, labor, or any specific sector mentioned. The lack of explicit AI tools or applications limits the relevance to specific sectors. Therefore, the scores reflect very low relevance, mostly towards Government Agencies for regulatory compliance and public service areas.


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

Illinois SB2178: FOIA-DEADLINES, LICENSE PLATES

Description: Amends the Freedom of Information Act. Changes the definition of "recurrent requester" to mean a person who, in the 12 months immediately preceding the request, has submitted to the same public body (i) a minimum of 40 (instead of 50) requests for records, (ii) a minimum of 10 (instead of 15) requests for records within a 30-day period, or (iii) a minimum of 5 (instead of 7) requests for records within a 7-day period. Requires a public body to either comply with or deny a request for public r...
Summary: The bill amends the Freedom of Information Act in Illinois, adjusting request thresholds for recurrent requesters and extending response deadlines, while exempting certain records related to automated license plate recognition systems from disclosure.
Collection: Legislation
Status date: Feb. 10, 2023
Status: Introduced
Primary sponsor: Suzanne Glowiak Hilton (sole sponsor)
Last action: Rule 3-9(a) / Re-referred to Assignments (March 10, 2023)

Category:
Data Governance (see reasoning)

This text primarily relates to the Freedom of Information Act (FOIA) and its amendments. While it references automated license plate recognition (ALPR) systems, which involve the use of algorithms and data collection, it does not explicitly discuss the societal impacts of AI, data governance in terms of AI, system integrity, or benchmarks for robustness of AI systems. The relevance here is mostly connected with governance and public record keeping rather than a focused discussion on AI implications. As such, this text is not substantial enough to assign high relevance scores to the categories.


Sector:
Government Agencies and Public Services (see reasoning)

The text briefly discusses the operational conditions of public bodies and mentions automated license plate recognition (ALPR) systems, but it does not directly pertain to any specific sector outlined. While it includes references to data generated by these systems, it lacks a direct focus on how AI affects politics, public services, healthcare, or other designated sectors. The mention of ALPR systems suggests a connection to law enforcement, but without explicit details on regulation, it's not strong enough to warrant a high score under that sector. Thus, while some terms are relevant to government operation, the text doesn't substantially address major AI applications.


Keywords (occurrence): automated (6) show keywords in context

General recordkeeping provisions.

Summary: The bill outlines recordkeeping provisions for owners or operators of affected emissions sources, detailing requirements for data related to fuel usage, emissions, and compliance over a three-year period to ensure accurate monitoring and regulatory compliance.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

DEPARTMENTS OF LABOR, HEALTH AND HUMAN SERVICES, AND EDUCATION, AND RELATED AGENCIES APPROPRIATIONS ACT, 2024

Summary: The bill allocates funding for the Departments of Labor, Health and Human Services, and Education for FY 2024, aiming for fiscal responsibility while significantly reducing social spending and addressing various priorities, including education and public health.
Collection: Congressional Record
Status date: Nov. 14, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily discusses appropriations for the Departments of Labor, Health and Human Services, and Education for FY 2024, without specific provisions or impacts directly related to AI technologies. While it addresses societal issues such as education, public health, and funding for various programs, the text does not highlight AI's implications or contributions to these sectors. This leads to low relevance across the defined categories, as the focus is on fiscal spending rather than on AI's societal impact, data governance, system integrity, or robustness.


Sector: None (see reasoning)

The text discusses fiscal policies and funding initiatives across various government sectors without delving into how AI intersects with these areas. Although it mentions education, healthcare, and public services, there are no specific references or considerations regarding AI’s application in these contexts. As there are no explicit mentions of AI regulations or impacts on sectors like Politics, Government, Healthcare, or Education with regard to AI, the scores reflect minimal relevance.


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

What compliance provisions apply?

Summary: The bill outlines compliance provisions for engine manufacturers and operators regarding emissions standards, specifically addressing conditions under which adjustments for regeneration impacts on emissions can be disregarded.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Customer File Structure

Summary: The bill establishes a structured data file format for financial institutions to report customer and account information to the FDIC, ensuring accurate record-keeping and relationship tracking among account holders.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): algorithm (4) show keywords in context

State program requirements.

Summary: The bill establishes requirements for state economic incentive programs (EIPs) aimed at achieving emissions reductions while ensuring compliance with air quality standards. It emphasizes quantifiable, permanent outcomes, nondiscrimination, and federal enforcement.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily addresses environmental programs, their implementation, and requirements related to emissions reductions in both attainment and nonattainment areas. There are no explicit references to AI, and the text primarily focuses on regulatory compliance and emissions management. Though automated systems might play a role in emissions monitoring and reporting, the text itself does not cover AI's social impacts, data governance, system integrity, or robustness. Therefore, relevance to AI categories is low.


Sector: None (see reasoning)

The text centers around environmental regulations and the establishment of economic incentive programs for emissions reductions. As it does not mention AI or directly relate to any of the outlined sectors, the relevance to the specified sectors also remains minimal. The text does not address politics and elections, government operations, the judicial system, healthcare, private enterprises, academic institutions, international cooperation, nonprofits, or any emerging sectors associated with AI.


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

Determination of donor suitability for human tissue intended for transplantation.

Summary: The bill establishes guidelines for screening and testing donors of human tissue for transplantation to ensure suitability by checking for communicable viruses, documenting medical histories, and maintaining records.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Listing of OMB control numbers.

Summary: The bill specifies the requirement for U.S. Customs to issue advisory rulings and final determinations regarding customs procedures and establishes the publication and review processes for these determinations.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provided largely consists of regulations concerning the issuance and review of advisory rulings and final determinations by Customs and Border Protection (CBP), as well as details on information collection requirements under the Paperwork Reduction Act. It does not contain any specific references or implications regarding AI technologies, their social impact, data governance, system integrity, or robustness as indicated in the definitions of the categories. Therefore, I would score all categories as 1 (Not relevant).


Sector: None (see reasoning)

The text revolves around procedural details for obtaining and managing advisories and final determinations in customs-related matters, lacking any explicit mentions of AI's application in politics, government operations, judiciary, healthcare, or other sectors. Due to the absence of relevant AI context, I will assign a score of 1 (Not relevant) to all sectors.


Keywords (occurrence): automated (2)

Coronary vascular physiologic simulation software device.

Summary: The bill establishes regulations for a coronary vascular physiologic simulation software device, classifying it as a Class II medical device that requires validation and premarket approval to assess blood flow metrics in coronary systems.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Movement of passenger equipment with other than power brake defects.

Summary: The bill outlines safety requirements for moving passenger trains with specific equipment defects, ensuring qualified personnel oversee operations and establish movement restrictions to maintain safety.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily discusses regulations pertaining to the movement of passenger rail equipment with various defect conditions and the required safety measures. It addresses the limitations on passenger equipment movement and includes provisions for automated tracking systems which enhance safety and monitoring of defective equipment. However, it does not delve into the broader social, ethical, or governance implications of AI technologies, nor does it present any specific data governance, system integrity, or robustness contexts that are overtly related to AI developments or impacts. The mention of automated tracking may seem relevant but it applies primarily to ensuring compliance with safety regulations rather than to the ethical or operational integrity concerns around AI systems. Therefore, overall relevance to the AI-related categories is minimal.


Sector: None (see reasoning)

The text focuses on railroad regulations and the maintenance of passenger equipment's operational integrity, which is primarily a transport and safety issue rather than one related to AI-specific applications or implications within specified sectors. While there is a minor mention of automated tracking, it is related to defect management and not the application or regulation of AI in sectors like healthcare, governance, or the legal system. Consequently, the sector relevance is quite low.


Keywords (occurrence): automated (4) show keywords in context

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill H.R. 11 aims to enhance access to voting for Americans and diminish the influence of money in politics. It is designed to improve electoral integrity and fairness.
Collection: Congressional Record
Status date: July 18, 2023
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text mainly includes a list of public bills and resolutions without detailed discussion or references to artificial intelligence (AI) beyond a single mention in H.R. 4704 related to threats to public health and national security due to technical advancements in AI. Because this mention lacks sufficient context, the overall relevance to the categories is limited. Social Impact is noted as 'Very relevant' because it touches upon potential risks of AI. Data Governance, System Integrity, and Robustness receive lower scores due to the absence of detailed discussions on those topics. Overall, the text does not delve deep into AI legislation themes, thus limiting the relevance across all categories.


Sector:
Government Agencies and Public Services (see reasoning)

The text predominantly lists legislative proposals and does not delve into specifics regarding AI applications within any of the defined sectors. The mention of AI in H.R. 4704 (relating to public health and national security) could imply relevance for Healthcare, yet it does not sufficiently discuss AI within that context. The lack of clear connections to the other sectors leads to generally low relevance scores for all except Government Agencies and Public Services, which, while applicable due to the context of official legislative actions, remains weak due to generic nature. Overall, the text does not adequately address the specified sectors focused on AI.


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

Collection methods.

Summary: The bill outlines procedures for the U.S. State Department to collect debts owed to it, detailing methods such as administrative offsets, private collection agency referrals, and salary deductions while ensuring due process rights for debtors.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily discusses regulatory procedures for the collection of debts owed to the State Department. There is no explicit reference to Artificial Intelligence or any of the related terminologies specified for scoring in the categories. However, components of the collection process may, in some contexts, involve automated systems, especially in reference to the automated databases mentioned in the context of consumer reporting. However, this involvement is not adequately detailed to justify scoring in the categories proposed. As such, all categories received a score of 1, indicating they are not relevant.


Sector: None (see reasoning)

The text does not address AI-related applications within any of the listed sectors, such as politics, education, or healthcare. Its focus on debt collection methods does not implicate any specific sector that directly relates to AI use or regulations. Given that there is no direct correlation with the sectors provided, each sector also received a score of 1 for not relevant.


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

Procedures and responsibilities of carriers filing outbound vessel manifest information via the AES.

Summary: The bill outlines procedures for carriers submitting electronic outbound vessel manifests via the Automated Export System (AES), emphasizing compliance, timely reporting, and recordkeeping to support U.S. export enforcement.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily discusses the procedures and responsibilities of carriers in relation to the filing of outbound vessel manifest information through the Automated Export System (AES). There is no mention of Artificial Intelligence or related terms in the provided text. The focus is on regulatory compliance, submission processes, and recordkeeping requirements which do not intersect with the categories concerning social impact, data governance, system integrity, or robustness as they relate specifically to AI. Therefore, all categories score a low relevance.


Sector: None (see reasoning)

Although the text touches on regulatory procedures related to shipping and customs, it does not address any specific sectors involving the use of AI in political campaigns, public services, healthcare, or other defined sectors. Thus, it is not relevant to any of the defined sectors, scoring a low relevance across all sectors.


Keywords (occurrence): automated (1)

Prohibition of dual trading in security futures products by floor brokers.

Summary: The bill prohibits floor brokers from engaging in dual trading of security futures products to enhance market integrity and protect customer interests, with specific exceptions allowed under regulated conditions.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

What definitions apply under the TANF regulations?

Summary: The bill outlines definitions and regulations for the Temporary Assistance for Needy Families (TANF) program, focusing on assistance provisions, program purposes, and special rules for domestic violence victims and state compliance.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily focuses on the regulatory framework of the Temporary Assistance for Needy Families (TANF) program, which does not explicitly mention or address AI-related topics such as Artificial Intelligence, algorithms, machine learning, or automation. Consequently, it appears to have little to no relevance to the categories of Social Impact, Data Governance, System Integrity, or Robustness. These categories would be relevant to legislation that directly engages with AI technologies, their governance, performance evaluation, societal consequences, and related safety measures. Since the TANF regulations focus on welfare assistance definitions and provisions, any potential links to AI are tenuous or non-existent.


Sector: None (see reasoning)

The legislation pertains strictly to welfare programs and assistance for needy families, and it offers no direct linkage to the defined sectors associated with AI applications, such as politics and elections, healthcare, or public services. Instead, the focus is on welfare definitions, provisions, and regulations. The absence of any mention of AI or its application within these sectors results in a low relevance score across each existing sector category.


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

Permissible service of TV translator and LPTV stations.

Summary: The bill regulates the permissible operations of TV translator and low power TV (LPTV) stations, including transmission methods, programming requirements, and technical standards, aiming to ensure effective broadcasting and public service.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily focuses on the technical specifications and operational guidelines for TV translator and LPTV (Low Power Television) stations. It does not address the social implications or ethical concerns regarding AI use in broadcasting. Although the text includes various legislative measures for broadcasting, it does not contain terms or contexts relevant to the categories of Social Impact, Data Governance, System Integrity, or Robustness as they relate to AI. Therefore, none of the categories are applicable to this text.


Sector: None (see reasoning)

The text primarily revolves around broadcasting regulations for TV translator and LPTV stations, and although broadcasting can sometimes involve AI technologies (for example, in content recommendations), there is little to no direct reference to AI in this text. The discussions are technical and regulatory in nature regarding signal retransmission and operational requirements rather than specific legislation addressing AI implications in the broadcasting sector. Therefore, none of the sectors, including Politics and Elections or Government Agencies and Public Services, receive a relevant score.


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

Hold File Structure

Summary: The bill establishes a detailed file structure for reporting account and hold information to the FDIC regarding deposit accounts and automated credits, ensuring data consistency and security.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (4) algorithm (3) show keywords in context
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