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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.

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5057 results:


Certification and Assurances for Highway Safety Grants (23 U.S.C. Chapter 4)

Summary: The bill establishes certification and assurance requirements for states receiving highway safety grants, ensuring compliance with federal laws, and outlining penalties for non-compliance to enhance road safety programs.
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 focuses on grant certification and assurances related to highway safety but does not explicitly mention artificial intelligence or its associated terms. Therefore, it appears not to have direct relevance to the specified categories relating to AI's social impact, data governance, system integrity, or robustness. The lack of mention of AI technologies, frameworks, or their regulatory implications leads us to conclude that these categories do not apply here.


Sector: None (see reasoning)

The text does not discuss or regulate AI in any specific sector. It mainly pertains to fiscal and procedural requirements for state highway safety grants, without any references to the sectors related to politics and elections, government operations, healthcare, etc. Therefore, none of the sectors show any relevance to the contents of this text.


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

Delegation of authority to Director of Division of Corporation Finance.

Summary: The bill delegates authority to the Director of the Division of Corporation Finance within the SEC, enabling swift decision-making on various securities registration functions to enhance regulatory efficiency.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text mainly pertains to the delegation of authority related to the functions of the Director of the Division of Corporation Finance under various securities laws. It does not directly or indirectly relate to AI, as there are no mentions or implications regarding Artificial Intelligence, algorithms, or any related technologies. Thus, it lacks relevance in all defined categories as they do not intersect with the content of the text.


Sector: None (see reasoning)

The text does not address any specific sector regarding AI applications; it is purely about regulatory mechanisms within securities laws. Since there are no implications or relevance to the sectors defined, the scores for all sectors are the lowest possible.


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

Overview.

Summary: The bill establishes guidelines for repairing and maintaining emission-data engines, emphasizing the need for approvals on repairs affecting emissions, testing procedures, and compliance with emission standards.
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 focuses on emissions testing and the maintenance of emission-data engines, with no direct references to AI or its related concepts. It discusses rules for testing engine emissions, maintenance protocols, and the behavior of various types of engines under specified conditions. None of the keywords related to AI appear in the text, indicating that the content is strictly regulatory with respect to environmental standards rather than AI technology or its impacts. Given this context, the scores for each category are minimal as they do not apply to the content of the text in any significant way.


Sector: None (see reasoning)

The text does not address any specific sector associated with AI applications. It focuses solely on engine testing for compliance with emission standards and does not mention political campaigns, public services, judicial frameworks, healthcare applications, business environments, academic settings, or international cooperation. Since there is no reference to the use of AI in any sector, all scores reflect a lack of relevance.


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

Article 4A, Funds Transfers

Summary: The bill outlines regulations for funds transfers under Article 4A, detailing liability, interest compensation, payment orders, and security procedures, ensuring clarity and consistency in banking transactions.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Guidance to Revisions to ADA Regulation on Nondiscrimination on the Basis of Disability in State and Local Government Services

Summary: The bill revises ADA regulations regarding disability discrimination in state and local government services, clarifying definitions, responsibilities, and requirements for accessibility to enhance compliance and support for individuals with disabilities.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (9) show keywords in context

FHWA categorical exclusions.

Summary: This bill outlines criteria for categorizing federal highway actions as categorical exclusions (CEs), allowing certain projects to bypass extensive environmental review when they pose minimal environmental impact.
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 categorical exclusions (CEs) as defined by the FHWA concerning actions that do not significantly affect the environment. It does not explicitly reference AI or any related concepts such as algorithms or machine learning. As a result, it is deemed not relevant to the categories associated with AI. CEs relate to environmental regulations and project approvals rather than issues directly involving the development or impacts of AI technologies. Therefore, all category scores will be low as no pertinent AI connections can be established.


Sector: None (see reasoning)

The text focuses on specific environmental assessment processes and criteria for federal highway actions, which do not involve direct applications of AI or mention its implications. The absence of language related to sectors such as politics, healthcare, or judicial systems necessitates a low relevance score across the board. This document deals with transportation and environmental regulations but does not apply to AI related sectors.


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

Reporting and recordkeeping requirements.

Summary: The bill outlines recordkeeping and reporting requirements for owners/operators of facilities discharging volatile organic compounds (VOCs) and establishes procedures for monitoring and addressing leaks to minimize environmental impact.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Community Reinvestment Act Regulations (Alternative Compliance)

Summary: The bill outlines the regulations under the Community Reinvestment Act (CRA), focusing on the evaluation of banks' performance in meeting community credit needs, particularly for low- and moderate-income areas, and provides mechanisms for public involvement and compliance assessment.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Communications and security requirements.

Summary: The bill establishes communication and security standards for Positive Train Control (PTC) systems, requiring timely repairs of failures, secure cryptographic measures, and comprehensive documentation for safety compliance in rail operations.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance
System Integrity (see reasoning)

This text primarily focuses on the safety-critical aspects of Positive Train Control (PTC) systems, including communication, security requirements, and operational protocols. It does not delve into the societal impacts of AI or its ethical concerns; thus, it does not align well with Social Impact. However, it does relate to Data Governance through the management of data used in cryptographic processes and operational decisions, which is crucial for maintaining safety and security as outlined. The concepts of integrity and control found in the text correspond closely with System Integrity, focusing on the operational reliability and safety-critical components of the PTC system used in rail operations. Robustness is less directly applicable as the text does not address performance benchmarks or auditing of the AI systems explicitly, as it speaks more towards operational safety and compliance.


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

The legislation heavily deals with rail safety systems, particularly around Positive Train Control, which involves automated decision-making and could use elements of AI algorithms for optimization. However, it doesn't discuss broader implications for politics, public service, or healthcare directly. It touches on the role of government in ensuring the safety and operational standards of transportation systems. The concepts discussed may overlap somewhat with Government Agencies and Public Services, but the focus remains on compliance and technical standards rather than societal themes or public service implications directly. Private Enterprises may be impacted in terms of operational standards for rail vendors but again, the focus is narrower. It does not fit into Judicial Systems or Healthcare. Academic and Research Institutions would only be slightly relevant in the context of research on automation and safety protocols. International Cooperation does not come into play as there's no reference to cross-border regulations or standards. Nonprofits and NGOs are not relevant given the technical nature of the content. Overall, the focus on a specific technology does not strongly align with broader categories but primarily the System Integrity.


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

NMS security designation and definitions.

Summary: The bill outlines definitions and requirements for certifications related to research reports and public appearances by research analysts, enhancing transparency and accountability in financial securities. It aims to protect investors by ensuring research is unbiased.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (11) algorithm (1) show keywords in context

Specifications and Test Procedures

Summary: The bill outlines specifications and test procedures for monitoring nitrogen oxide (NOx) emissions during the ozone season, ensuring proper measurement methods and certification requirements for compliance by emission units.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Guideline on Air Quality Models

Summary: The bill outlines guidelines for air quality modeling to ensure consistency and standardization in regulatory assessments under the Clean Air Act, facilitating appropriate air quality management and emission control strategies.
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 focuses on air quality modeling guidelines, which do not directly relate to AI concepts such as Algorithm, Machine Learning, or any of the specified AI-related terminologies. While it discusses modeling and analysis techniques used in air quality assessments, there's no reference indicating the involvement of AI technologies. As such, the relevance to the provided categories is minimal, resulting in low scores across all categories of AI-related legislation. No portions of the text discuss the broader effects or implications of AI systems on social structures, data governance, system integrity, or the robustness of AI solutions.


Sector: None (see reasoning)

The text does not specifically address any sectors related to AI. It talks about modeling in the context of environmental regulations and air quality monitoring, which falls outside the purview of AI applications or regulation. The focus is entirely on environmental regulations and models, rather than on sectors that deal with the use or regulation of AI technologies. Therefore, all sectors receive the lowest score for relevance.


Keywords (occurrence): automated (1) algorithm (6) show keywords in context

Text of Senate Amendment 110

Summary: The bill proposes the "Secure the Border Act of 2023," aiming to resume and enhance border wall construction, bolster operational control, and improve border security technology amidst immigration enforcement reforms.
Collection: Congressional Record
Status date: June 1, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text largely focuses on border security and related technologies, particularly around the construction of a border wall and the deployment of surveillance technologies. While there are mentions of technology and situational awareness, there is no direct reference to AI or its implications. The focus on tactical infrastructure and surveillance tools suggests concerns primarily about operational effectiveness rather than their societal impacts, data governance, or robustness of AI systems specifically. Therefore, none of the categories seem to strongly relate to the text.


Sector: None (see reasoning)

The text’s focus on border construction and security technologies slightly touches on government operations and agencies, especially concerning the Department of Homeland Security. However, it does not delve deeply into how AI is employed for these purposes. There’s a marginal reference to technology within government functions but doesn't substantively connect to AI usage or regulation in a meaningful way. Therefore, while there is some relevance to Government Agencies and Public Services, it is not strong enough to warrant significant consideration.


Keywords (occurrence): automated (1)

Requirements for automated records and for automated recordkeeping systems on eligible smaller railroads, and their contractors or subcontractors that provide covered service employees to such railroads.

Summary: The bill mandates automated recordkeeping systems for smaller railroads and their contractors, ensuring accurate, secure, and searchable employee hours of service records, enhancing regulatory compliance and operational transparency.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance (see reasoning)

The text primarily focuses on the requirements for automated recordkeeping systems in smaller railroads. It discusses the use of electronic signatures, system security, data retrieval, and record integrity. While it does mention automation in the context of recordkeeping, there is no direct discussion of AI technologies or their implications. The aspects of data security and integrity relate more to governance than to AI's social impact, system integrity concerns, or robustness in terms of AI performance benchmarks. Consequently, it is relevant to the Data Governance category primarily due to the emphasis on record accuracy and security. However, the relevance to the other categories is minimal as they require direct references to AI, which are absent.


Sector:
Government Agencies and Public Services (see reasoning)

The text is related to the operations of railroads and the requirements placed on them concerning electronic recordkeeping systems. The legislation discussed does not explicitly address the use of AI within the railroad sector, nor does it delve into direct applications of AI in any governmental context. It focuses on record management rather than AI applications in government, healthcare, private enterprises, or other sectors. Thus, it has a minimal connection to most sectors, with its closest alignment being Government Agencies and Public Services due to the regulatory framework it entails. Overall, it provides procedural requirements likely aimed at compliance and safety within the railroad sector, which is an indirect association with the sectors mentioned.


Keywords (occurrence): automated (9) show keywords in context

Assistant Secretary for Administration.

Summary: The bill formalizes the responsibilities of the Assistant Secretary for Administration at the USDA, detailing authority over human resources, procurement, and compliance with environmental standards, among others.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Operation and maintenance expenses.

Summary: The bill outlines guidelines for the operation and maintenance expense accounts for Rural Utilities Service (RUS) borrowers, detailing costs for power generation, transmission, and distribution to ensure efficient management and accountability.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Exports of hazardous waste.

Summary: This bill regulates the export of hazardous waste, requiring exporters to obtain EPA consent, provide notifications, and ensure compliance with various documentation and contracts to protect environmental safety.
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 deals with the export regulations for hazardous waste and does not contain any explicit references to Artificial Intelligence, algorithms, or any related technical components. As such, there is no direct relevance to the provided categories, especially given that the content focuses solely on procedural and administrative matters related to hazardous waste management. Therefore, it does not align with concerns such as social impacts of AI, data governance in AI systems, system integrity, or robustness.


Sector: None (see reasoning)

This text discusses the regulatory requirements for hazardous waste export and does not pertain to any sector that involves AI utilization or governance. It lacks mentions of AI technologies or their relevance to any sector like Politics, Government Services, Healthcare, etc. Consequently, all sector categories receive a score of 1.


Keywords (occurrence): automated (1)

Requirements for financial institutions offering prepaid accounts.

Summary: This bill mandates transparency for financial institutions offering prepaid accounts by requiring clear disclosures of fees and terms before consumers acquire the accounts. It aims to protect consumers by informing them of potential costs associated with prepaid accounts.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Minnesota HF1861: Online content discrimination prohibited, and civil action authorized.

Description: Online content discrimination prohibited, and civil action authorized.
Summary: The bill prohibits online content discrimination based on race, sex, political ideology, or religious beliefs, allowing users to seek civil action and damages for violations.
Collection: Legislation
Status date: Feb. 16, 2023
Status: Introduced
Primary sponsor: Walter Hudson (sole sponsor)
Last action: Introduction and first reading, referred to Judiciary Finance and Civil Law (Feb. 16, 2023)

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

The text addresses online content discrimination and mentions the use of algorithms to restrict user content based on specific categories like race and political ideology. This clearly aligns with the Social Impact category as it relates to the implications of AI systems (specifically algorithms) on fairness and non-discrimination for users, thus safeguarding against AI-driven discrimination. Data Governance is also relevant because the legislation includes references to how algorithms are implemented in the context of online content management and the responsibilities of service providers associated with data practices and user restrictions. System Integrity is indirectly relevant as it concerns the security and transparency of online platforms that utilize algorithms, though it is less emphasized than the other two. Robustness is less applicable here since the text does not focus on benchmarks or performance standards for AI systems directly. Overall, the strongest relevance lies in the Social Impact and Data Governance categories given the emphasis on discrimination, civil action, and user rights in the context of algorithmic decision-making.


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

The document primarily addresses online content discrimination which aligns with aspects of the Politics and Elections sector, given it mentions political ideology in the context of content restriction. However, it more squarely falls under Government Agencies and Public Services because it deals with the rights of users in relation to interactive computer services that might include platforms used for public discourse or services provided by government agencies. The Judicial System is relevant as it establishes civil actions and remedies for users which links to the legal framework governing these interactions. Other sectors like Healthcare, Private Enterprises, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, and Hybrid, Emerging, and Unclassified are not directly relevant to the content of this legislation. Therefore, the most fitting sectors are Government Agencies and Public Services alongside political considerations under Politics and Elections, while the Judicial System also holds some relevance due to the civil action provisions.


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

Federal Credit Union Bylaws

Summary: The bill outlines regulations for Federal Credit Union bylaws, detailing member rights, statutory liens, and procedures for amending bylaws. Its goal is to clarify governance and enhance flexibility for credit unions.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (12) show keywords in context
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