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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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5060 results:


Time sharing between NOAA meteorological satellite systems and non-voice, non-geostationary satellite systems in the 137-138 MHz band.

Summary: The bill establishes regulations for time-sharing between NOAA meteorological satellites and non-geostationary mobile-satellite systems in the 137-138 MHz band, focusing on preventing harmful interference to NOAA signals.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

System for detection of microorganisms and antimicrobial resistance using reporter expression.

Summary: The bill establishes guidelines for a diagnostic system that detects microorganisms and antimicrobial resistance, detailing required specifications for clinical laboratory use to inform treatment choices for bacterial infections.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Native exceptions.

Summary: The bill allows Alaskan Natives to harvest marine mammals for subsistence and cultural purposes under specific conditions and regulatory oversight to ensure sustainable practices and conservation.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Details and job changes.

Summary: The bill outlines performance appraisal procedures for senior executives, including establishing Performance Review Boards (PRBs), rating criteria, and implications for pay adjustments, job changes, and terminations. Its goal is to ensure fair and consistent performance evaluations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
System Integrity (see reasoning)

The text predominantly focuses on the procedures surrounding performance appraisals for senior executives within government agencies. While it mentions the use of 'automated systems' for performance ratings, it does not provide substantial detail or context regarding AI methodologies, implications, or governance. Consequently, the relevance to the categories can be assessed as follows: 1. Social Impact: Slightly relevant. The text touches upon automated performance appraisals, hinting at system impact, but lacks any explicit mention of effects on society or individuals, fairness, or bias in these processes. 2. Data Governance: Slightly relevant. The text implies data handling through performance ratings but insufficiently addresses data collection, management, or governance related to AI systems. 3. System Integrity: Moderately relevant. The mention of a structured appraisal system and the review process underscores an aspect of integrity and oversight, particularly in how automated systems contribute to performance evaluations, although it lacks depth in ensuring AI system security and control. 4. Robustness: Not relevant. No benchmarking, performance standards, or audits for AI systems are discussed in the text, which primarily focuses on executive performance reviews without establishing AI performance metrics. Overall, the text seems to indicate the intersection with AI through automated systems but does not engage deeply enough to warrant high relevance across these categories.


Sector:
Government Agencies and Public Services (see reasoning)

The text's focus is primarily on government processes rather than any specific sector application of AI. The reasoning for each sector is as follows: 1. Politics and Elections: Not relevant, as the text discusses performance evaluations within government agencies, not political campaign processes. 2. Government Agencies and Public Services: Moderately relevant. The text pertains directly to the functions of government agencies in performance rating systems; however, the focus isn't specifically on AI use within agencies. 3. Judicial System: Not relevant, since there are no references to legal systems or AI applications in judicial contexts. 4. Healthcare: Not relevant, as there are no connections made to healthcare applications of AI. 5. Private Enterprises, Labor, and Employment: Not relevant, despite touching on employment issues, its context is limited to public service executive appraisals. 6. Academic and Research Institutions: Not relevant, as there is no discussion of AI applications in education or research. 7. International Cooperation and Standards: Not relevant, as the text does not address international AI standards or cooperation. 8. Nonprofits and NGOs: Not relevant, without linkage to the operations of nonprofits concerning AI. 9. Hybrid, Emerging, and Unclassified: Slightly relevant, as it addresses automation in a broader context but lacks sufficient details that would classify it as a standalone category within emerging sectors. Overall, while the text connects to the operation of government agencies, it does not sufficiently address the direct implications or applications of AI within these sectors.


Keywords (occurrence): automated (5) show keywords in context

Determination of National Average Seat Belt Use Rate

Summary: The bill establishes a methodology for calculating the national average seat belt use rate using state-level data, aiming to promote increased seat belt use and assess related medical savings.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

What definitions apply to this part?

Summary: This bill defines terms related to the operation and monitoring of Tribal IV-D child support enforcement systems, outlining requirements for automated data processing and service agreements for efficient child support administration.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (5) show keywords in context

Brain injury adjunctive interpretive electroencephalograph assessment aid.

Summary: The bill establishes regulations for brain injury adjunctive interpretive electroencephalograph assessment aids to ensure safety, effectiveness, and proper labeling of devices used to assess brain injuries, reinforcing that they should not be used as standalone diagnostics.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Eligibility requirements.

Summary: The bill outlines eligibility requirements for USDA rural housing loans, including indemnification for lenders, income criteria, citizenship status, and verification of applicants' repayment ability. It aims to ensure responsible lending practices.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text deals primarily with eligibility requirements for loans, specifically those backed by the USDA for rural housing. There are no references to AI technologies or concepts within the provided text. Consequently, there is no relevant information for any of the categories, as the content focuses solely on legal and procedural elements for loan origination and approval, which do not intersect with AI systems or their impacts.


Sector: None (see reasoning)

The text primarily outlines legal and procedural frameworks related to rural housing loans, without any mentions of AI or its applications in politics, public services, judicial systems, healthcare, business environments, research, international standards, or nonprofit organizations. Thus, it does not pertain to any defined sector, leading to a score of 1 for all sectors.


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

Major changes in program design.

Summary: The bill mandates that states notify the Food and Nutrition Service (FNS) of major changes to SNAP operations 120 days prior to implementation, ensuring improved oversight and analysis of impacts on program performance and accessibility.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

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

The text discusses the establishment and reporting of major changes in the State agencies’ operation of SNAP, specifically focusing on the increased reliance on automated systems for tasks previously done by personnel. The mention of automated systems signifies a transition towards algorithm-driven decision-making in social services which can raise concerns regarding accountability and the impacts on users; hence, it is relevant to the Social Impact category. Additionally, aspects of data handling, privacy, and reporting standards align with the Data Governance category, as the text addresses how data will be collected, processed, and reported to ensure integrity and access. The inclusion of automated systems also relates to System Integrity since it mentions the need for human oversight and monitoring of changes. However, the text does not directly address performance benchmarks or compliance in a way that aligns with the Robustness category, making it less relevant to that aspect.


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

The content pertains mainly to the operation of the SNAP program, which is a government initiative. The reliance on automated systems for managing applications and changes indicates a direct regulation of AI's role in public service delivery, making it highly relevant to the Government Agencies and Public Services sector. The potential impacts on applicants and recipients also suggest implications for Healthcare, particularly for vulnerable populations. The absence of mentions of other specific sectors like Judicial System or Politics and Elections indicates lesser relevancy to those areas. Thus, the focus remains on how these changes affect public service delivery and participant engagement with government systems.


Keywords (occurrence): automated (5) show keywords in context

Rules relating to the use of an electronic medium to provide applicable notices and to make participant elections.

Summary: The bill establishes rules for using electronic mediums to provide notices and enable participant elections regarding retirement plans and employee benefits, ensuring compliance with legal requirements and enhancing accessibility.
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 rules governing the use of an electronic medium for providing notices and participant elections related to retirement plans and employee benefit arrangements. While this indirectly relates to technology and potentially algorithms used to facilitate electronic communication, it does not directly address the overall social implications of AI technologies, data management practices for AI systems, system integrity, or benchmarks for AI performance. Therefore, in terms of AI relevance, the connection is minimal to non-existent for the stated categories.


Sector: None (see reasoning)

The text does not pertain specifically to any of the outlined sectors since it focuses more on procedural rules and guidelines for electronic communications related to retirement plans and benefits administration. While elements of government operations may somewhat resonate, they do not directly involve the roles or applications of AI technology within that context, therefore it lacks sufficient relevance to merit a score in any of the sectors.


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

On-board Diagnostics for engines used in applications greater than 14,000 pounds GVWR.

Summary: This bill mandates onboard diagnostic (OBD) systems for heavy-duty engines over 14,000 pounds GVWR to monitor emissions and detect malfunctions throughout the engine's lifespan. It ensures proper functioning and accountability, enhancing environmental compliance.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

CMS-identified overpayments associated with payment data submitted by Part D sponsors.

Summary: This bill establishes procedures for Part D sponsors to appeal CMS-identified payment data overpayments, including reconsideration requests, hearings, and processes for correcting erroneous data.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text centers around the process and regulations pertaining to the management and reconsideration of payment data submitted by Part D sponsors to CMS. There is no explicit mention of AI technologies, algorithms, or any related terms pertaining to artificial intelligence systems. Therefore, it is largely irrelevant to the categories provided, which focus on AI social impacts, data governance, system integrity, and robustness. The legislation does not address how AI might influence payment determination, data accuracy, or the processing of requests and appeals, leading to its classification as not relevant across all categories.


Sector: None (see reasoning)

The text is related to administrative processes regarding reimbursement claims and data correction for Medicare Part D. It does not touch on AI applications within healthcare settings nor does it examine how AI may facilitate or impact the processes described. The absence of AI-related discussions completely disqualifies it from connecting to any of the set sectors, including healthcare, government services, or any broader implications of AI. Therefore, it is assessed as not relevant across all sectors.


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

Requirements for flare monitoring systems.

Summary: The bill outlines requirements for flare monitoring systems, mandating compliance with operational parameters, documentation, and performance evaluations to ensure efficient combustion and emission control from flares.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Electronic transmission and receiving system.

Summary: The bill establishes standards for contractors involved in crop insurance, including compliance notifications, financial qualifications, licensing requirements, and mandates an electronic system for transmitting insurance data to the Corporation.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily pertains to regulations governing contractors in relation to electronic transmission and crop insurance contracts. However, it does not explicitly discuss artificial intelligence in terms of impacts on society, data governance, system integrity, or robustness related to AI systems. The use of automated data processing could hint at some relevance to system integrity or data governance; however, it's primarily a technical regulation rather than a discussion on broader implications of AI. Thus, while there may be an indirect connection through 'automated data processing,' it doesn't strongly engage with the specifics of AI legislation, leading to low relevance scores across all categories.


Sector: None (see reasoning)

The text outlines regulations specific to crop insurance contracting and does not address AI directly in areas like politics, government services, judicial systems, healthcare, employment, education, or international standards. There is minimal chance of relevance to sectors since the regulations do not mention or involve AI applications beyond automated processing. Thus, scores reflect a lack of specific AI applications or implications within these sectors.


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

Qualified derivative payment.

Summary: The bill addresses tax regulations regarding qualified derivative payments to foreign related parties, outlining criteria for reporting and defining derivatives to prevent base erosion tax avoidance.
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 tax regulations regarding qualified derivative payments and related concepts. There is no explicit reference to AI-related technologies such as algorithms, machine learning, or automated decision-making systems that could impact society. Therefore, the relevance of this text to the categories of Social Impact, Data Governance, System Integrity, and Robustness is minimal. The text does include a mention of 'algorithm' in an illustrative manner within a broader context of financial contracts and tax regulations, which does not tie back to any impactful AI applications or implications. This lack of direct association leads to low scores across all categories.


Sector: None (see reasoning)

The content presented does not directly engage with any sectors such as Politics and Elections, Government Agencies and Public Services, or Healthcare, as it is primarily concerned with financial transactions and tax law. There is no discussion on the applications of AI within these sectors or historical legislative concerns associated with them. Additionally, terms associated with AI or its applications in these sectors are absent, further diminishing the connection. Hence, the scores for all sectors will reflect a lack of relevance.


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

Snow survey and water supply forecast activities.

Summary: The bill establishes a cooperative snow survey and water supply forecasting program by the NRCS, aiding water management in western states through data collection and forecasting for agricultural users.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text outlines the Natural Resources Conservation Service (NRCS) activities regarding snow surveys and water supply forecasting. There doesn't seem to be explicit relevance to AI, machine learning, or related technologies within the text provided. The focus appears to be on manual and automated data collection methods but does not discuss algorithms, automated decision-making, or any AI systems employed within these activities. Thus, the scores are relatively low for all categories.


Sector:
Government Agencies and Public Services (see reasoning)

The content focuses predominantly on natural resources management and water supply forecasting, without any mention of sectors such as politics, judiciary, healthcare, etc. Although data collection and analysis processes are referenced, they are specifically for agricultural water management and do not indicate broader applications of AI or implications within the specified sectors. Therefore, all sector scores are low.


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

RECOGNIZING CHIEF MASTER SERGEANT CHLOE RAINEY-FLUELLEN

Summary: This bill recognizes Chief Master Sergeant Chloe Rainey-Fluellen for her impactful work as a Department of Defense legislative fellow, highlighting her contributions to military policy and community support in Washington.
Collection: Congressional Record
Status date: Dec. 7, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily focuses on recognizing Chief Master Sergeant Chloe Rainey-Fluellen for her service in the Department of Defense and her contributions to legislative matters. While there is a mention of her fellowships in the areas of National Security, Foreign Affairs, Artificial Intelligence, and Public Policy, the focus of the text does not delve into how AI impacts society, data, system integrity, or robustness concerning AI systems. Therefore, the relevance to all four categories is somewhat limited and primarily introductory rather than substantive.


Sector: None (see reasoning)

The text mentions her education and fellowships, which include a focus on Artificial Intelligence in the context of National Security and Public Policy, but it does not provide specific examples of AI application in politics, government operations, or any other sector. As such, while there is a potential connection to several sectors related to her expertise, the text does not elaborate on how these sectors are influenced by her work or the application of AI, resulting in minimal relevance across the sectors.


Keywords (occurrence): artificial intelligence (1)

Photoplethysmograph analysis software for over-the-counter use.

Summary: The bill classifies photoplethysmograph analysis software for over-the-counter use as a Class II device. It establishes performance standards and testing requirements to identify irregular heart rhythms without providing diagnoses.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Purpose.

Summary: This bill establishes procedures for the National Weather Service's (NWS) modernization, ensuring that field office closures or relocations do not degrade weather services, promoting public safety during operational changes.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily deals with the regulations and procedures for the modernization of the National Weather Service (NWS), specifically concerning the certification process for the automation of field offices. The mention of automation is relevant to the AI field, but the text does not engage deeply with broader implications of AI on society, nor does it address data governance, system integrity, or robustness in the context of AI systems. Therefore, while there is a fundamental connection to automation, it lacks a broader social impact, governance, integrity, or robustness context.


Sector:
Government Agencies and Public Services (see reasoning)

The text discusses the modernization of the National Weather Service and touches on how certain functions may be automated. While this may impact government operations and public services, it does not specifically focus on AI's role in political activities, judicial systems, healthcare, private enterprises, academic institutions, international standards, or NGOs. Thus, the relevance to the designated sectors is relatively low, particularly in the absence of explicit mention of AI applications.


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

Analysis of costs; automation; prevention of overpayments, delinquencies, or defaults.

Summary: The bill allows NASA to waive interest and administrative costs on debts under certain conditions, implementing procedures for cost analysis, debt collection automation, and preventing overpayments or defaults.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The document primarily discusses NASA's procedures related to cost analysis and debt collection, with a specific mention of automation in the context of debt collection operations. However, there is no explicit mention of AI technologies or systems involved in the process. Although automation suggests the use of computerized systems, it does not necessarily imply advanced AI applications such as machine learning or algorithms designed to enhance decision-making. Therefore, while there is a tangential connection through the term 'automation', it lacks direct references to AI terms like 'Algorithm', 'Machine Learning', or 'Automated Decision', which diminishes its relevance to the predefined categories. As such, all categories score low due to this lack of emphasis on AI.


Sector: None (see reasoning)

The text addresses NASA's internal procedures for debt collection and does not specifically target any of the defined sectors. While it mentions automated debt collection operations, it does not provide details on AI's impact on the sectors listed. The connection to 'Government Agencies and Public Services' is slightly more relevant due to the operational context of NASA as a government agency; however, there is still a lack of substantive references to AI applications within that sector. Consequently, scores remain low across the sectors, with only a slight acknowledgment of relevance to 'Government Agencies and Public Services'.


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