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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:


Text of Senate Amendment 658

Summary: The Orbital Sustainability Act of 2023 aims to minimize orbital debris and enhance space safety by promoting active debris remediation efforts and developing regulations for sustainable operations in low-Earth orbit.
Collection: Congressional Record
Status date: July 13, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text of Senate Amendment 658 primarily concerns the Orbital Sustainability Act of 2023, focusing on the remediation of orbital debris, space safety, and associated regulatory measures for space operations. There are no direct discussions or references to AI, machine learning, or related technologies in this text. Although the legislation may hint at the use of technologies for debris remediation, it does not specify that AI or machine learning will be utilized in these processes. Therefore, it lacks relevance to the categories related to social impact, data governance, system integrity, or robustness in terms of AI-related legislation. As such, I have assigned low scores reflecting this lack of relevance.


Sector: None (see reasoning)

The Senate Amendment 658 does not specifically address any of the nine sectors. It focuses mostly on legislative measures towards space debris remediation and orbital sustainability without delving into how these measures relate to sectors like politics, government services, healthcare, etc. The mention of technological development could vaguely relate to the Healthcare or Private Enterprises sectors if AI technologies were referenced, but no explicit connections exist in the provided text. Hence, all sector relevance scores are assigned low values indicating minimal to no connection.


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

Model Disclosure Clauses and Forms

Summary: The bill outlines model disclosure clauses and forms for financial institutions regarding electronic fund transfers, emphasizing consumer rights, error resolution procedures, and necessary disclosures to ensure transparency and protect users.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Hold File Structure

Summary: The bill outlines a data file structure for the FDIC, detailing necessary information about holds on deposit accounts, including identifiers, amounts, and reasons for holds, ensuring proper tracking and reporting.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Rating performance.

Summary: The bill establishes guidelines for rating senior executive performance, mandates a Performance Review Board (PRB), and stipulates appraisal timelines, review processes, and unappealable ratings to ensure consistent evaluation 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 discusses performance rating procedures for senior executives, which primarily focuses on the management of human resources within federal agencies. There is mention of 'automated systems' in the context of developing performance ratings. However, it does not delve into how AI technologies specifically impact performance evaluation, bias avoidance, or transparency. Thus, its relevance to social impact, data governance, system integrity, and robustness considering AI standards is minimal. Its acknowledgment of automated approaches does suggest a slight relationship to these categories, but it does not provide enough substance to warrant a higher score.


Sector:
Government Agencies and Public Services (see reasoning)

The text pertains to the employment and performance assessment of senior executives within federal agencies, highlighting processes regarding performance reviews, review hierarchies, and related administrative structures. AI is not specifically mentioned in terms of its impact on performance management, although automated systems are referenced. Therefore, categories such as Government Agencies and Public Services are only slightly relevant due to these interactions with performance management processes. Other sectors like Politics and Elections or Healthcare do not apply here.


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

Medical image analyzer.

Summary: The bill outlines regulations for medical image analyzers, including software that aids in identifying cancerous lesions, ensuring rigorous testing and validation to improve diagnostic accuracy while maintaining clinical oversight.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

That's the Ticket: Promoting Competition and Protecting Consumers in Live Entertainment

Summary: The bill addresses competition issues in the live entertainment industry, particularly ticketing, aiming to protect consumers and reduce the dominance of companies like Live Nation and Ticketmaster.
Collection: Congressional Hearings
Status date: Jan. 24, 2023
Status: Issued
Source: Senate

Category: None (see reasoning)

The text does not explicitly mention AI or any related terms such as algorithms, machine learning, or automated systems. The primary focus is on issues surrounding competition in the live entertainment ticketing industry, consumer rights, and consolidation of ticketing companies. Therefore, none of the categories (Social Impact, Data Governance, System Integrity, Robustness) are highly relevant, as they are broadly oriented around AI technology rather than the specific nuances covered in this text.


Sector: None (see reasoning)

The text discusses topics related to competition in the ticketing industry and consumer protection. However, it does not engage with AI applications or regulations pertaining to specific sectors such as politics, healthcare, or private enterprises. Consequently, none of the sectors (Politics and Elections, Government Agencies and Public Services, Judicial System, Healthcare, Private Enterprises, Labor, and Employment, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, Hybrid, Emerging, and Unclassified) are relevant as the focus is not on AI-related legislation or its impact on these sectors.


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

Adjunctive cardiovascular status indicator.

Summary: The bill establishes the classification and regulatory requirements for adjunctive cardiovascular monitoring devices, ensuring accurate measurements and predictions of cardiovascular status through comprehensive software verification and clinical validation.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Technical Questionnaire for Encryption and Other “Information Security” Items

Summary: The bill establishes strict controls on the export of encryption and related information security items, particularly denying applications for military end-users in North Korea and Syria, while allowing non-military applications to be considered case-by-case.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Communications and security requirements.

Summary: The bill establishes protocols for handling failures in Positive Train Control (PTC) systems, emphasizing safety, communication security, and proper documentation to ensure efficient operations and compliance with regulatory standards.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Scope of service of the Automated Maritime Telecommunications System (AMTS).

Summary: The bill outlines regulations for the Automated Maritime Telecommunications System (AMTS), including service activation, technical requirements for coast stations, and guidelines for communication with affected television stations to minimize interference.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text discusses regulations specifically for the Automated Maritime Telecommunications System (AMTS) and does not explicitly address AI technologies nor their implications on social structures or individual rights. While it touches on automated systems, it focuses on telecommunications regulation rather than the broader societal implications of AI. Consequently, the Social Impact category is rated as slightly relevant due to potential indirect implications of automation on social systems. Data Governance is rated slightly relevant as it pertains to the management of data regarding frequency interference and licensing, but it doesn't specifically address issues of data management in AI contexts. The legislation also addresses system control in automated maritime telecommunications which gives relevance to System Integrity, but again, the text does not delve into AI's role in this. Similarly, Robustness is not directly mentioned, leading us to rate it as slightly relevant due to having unaddressed benchmarks or compliance requirements for automated systems. Overall, none of the categories score higher than 2 due to the absence of direct references to AI and its implications.


Sector: None (see reasoning)

The text appears primarily concerned with the use of automated systems in the maritime telecommunications sector, governing operational standards without addressing the AI directly. While the mention of 'automated systems' offers some relevance to Private Enterprises and Public Services, it does not deeply elaborate on their specific usage in legislative terms. This context also has mild connections to Government Agencies based on the regulatory nature of telecommunications services. Additionally, it is not pertinent to Politics and Elections, the Judicial System, Healthcare, Academic institutions, International Cooperation, Nonprofits, or any Hybrid sectors. Therefore, the scores reflect minimal relevance across sectors since the text does not squarely engage with them.


Keywords (occurrence): automated (1)

Open Source Software.

Summary: The bill mandates that custom-developed software from federal contracts be broadly available as open-source, promoting reuse across government agencies, while outlining specific exemptions and contractor obligations.
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 definitions and policies concerning open source software, with specific emphasis on custom-developed code within the context of federal contracting and the EPA's guidelines. While it discusses software and its management, it lacks explicit references to AI technologies, systems, or their effects within the scope of social impact, data governance, system integrity, or performance robustness. The focus is more on software management rather than addressing any issues related to AI applications or their direct implications. Thus, the relevance to the categories is minimal.


Sector:
Government Agencies and Public Services (see reasoning)

The text does not explicitly address AI's role in any specific sector as it mainly outlines policies for managing open source software in the context of federal contracts, specifically under the purview of the Environmental Protection Agency. The mentions of software do not directly link to governance, healthcare, political processes, or other defined sectors concerning AI, leading to very low relevance across the relevant sectors.


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

Persons deemed not to be engaged in a distribution and therefore not underwriters.

Summary: The bill clarifies definitions and criteria under Rule 144 regarding individuals not considered underwriters in securities distribution, facilitating easier transfer of restricted securities without registration requirements.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text discusses the definition of underwriters and conditions under which certain individuals or entities are not considered underwriters under the Securities Act. However, it does not delve into the implications of AI for social issues, data handling, system integrity of AI systems, or the robustness of AI evaluations. The absence of mentions of AI directly or indirectly means the categories are not applicable.


Sector: None (see reasoning)

The text is focused on securities regulation and does not pertain to AI applications in any of the designated sectors such as politics, healthcare, or any specific use by government agencies. Thus, it scores a 1 across all sector categories, indicating non-relevance.


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

Patent and Data Provisions

Summary: The bill establishes patent and data provisions for Department of Energy awards, ensuring commercialization and rights management while encouraging U.S. manufacturing. It outlines reporting, licensing, and compliance requirements for recipients.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Radiological computer aided triage and notification software.

Summary: The bill establishes regulations for radiological computer-aided triage and notification software, classifying it as Class II and outlining performance testing, documentation, and labeling requirements to ensure its effectiveness in image analysis without replacing radiologist review.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

What are my initial compliance requirements and by what date must I conduct them?

Summary: The bill outlines initial compliance requirements for electric generating units (EGUs) concerning emissions limits, monitoring, and operational standards mandated by regulatory subparts, aiming to ensure adherence to air quality regulations.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): neural network (2) show keywords in context

Form SEF

Summary: The bill outlines the requirements and procedures for swap execution facilities to apply for or amend their registration with the Commodity Futures Trading Commission, ensuring compliance and recordkeeping standards.
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 outlines procedural and administrative requirements for the filing and maintenance of compliance reports by swap execution facilities under regulations from the Commodity Futures Trading Commission. It lacks any direct references or discussions pertaining to AI technologies or their implications. Therefore, all categories, which require some connection to AI concepts, will receive low relevance scores due to the absence of AI-related content.


Sector: None (see reasoning)

The text relates to regulatory compliance within financial markets, specifically concerning swap execution facilities. However, it does not address specific applications or implications of AI in the sectors listed. Given that there are no direct mentions or contexts involving AI in sectors such as Politics and Elections, Government Agencies and Public Services, or any others, the relevance remains significantly low across the board.


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

Cadmium.

Summary: The bill establishes safety standards for cadmium exposure in the workplace, mandating monitoring, regulated areas, respiratory protection, and other safety measures to protect employees from harmful levels of cadmium.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Work Practice Standards

Summary: The bill establishes emission limits and work practice standards for existing, new, and reconstructed electric generating units (EGUs) to control pollutants like mercury, lead, and sulfur dioxide, enhancing environmental protections.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): neural network (2) show keywords in context

United States SB2226: National Defense Authorization Act for Fiscal Year 2024 Department of Defense Overdose Data Act of 2023 Securing Maritime Data from China Act of 2023 Military Service Promotion Act of 2023 Space Force Personnel Management Act Military Construction Authorization Act for Fiscal Year 2024

Description: An original bill to authorize appropriations for fiscal year 2024 for military activities of the Department of Defense, for military construction, and for defense activities of the Department of Energy, to prescribe military personnel strengths for such fiscal year, and for other purposes.
Summary: The National Defense Authorization Act for Fiscal Year 2024 authorizes funding for military activities, personnel, weapons procurement, and defense strategies, aiming to enhance U.S. military capabilities and readiness.
Collection: Legislation
Status date: July 11, 2023
Status: Introduced
Primary sponsor: Jack Reed (sole sponsor)
Last action: Senate ordered measure printed as passed. (July 27, 2023)

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

The National Defense Authorization Act for Fiscal Year 2024 includes several mentions of artificial intelligence technologies and their applications within the military context. The text highlights AI-related activities such as the development of AI strategies, automation in shipyard operations, and competitive technology developments that include aspects of generative artificial intelligence. Due to the emphasis on the implications of AI strategies in defense operations and technological advancements, it is particularly relevant to the categories of Social Impact, Data Governance, System Integrity, and Robustness, even though the extent and implication in some areas may vary. Overall, the connections to AI in this legislation reflect significant considerations about the impact, governance, integrity, and robustness of AI technologies in military settings.


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

This legislation clearly relates to multiple sectors as outlined. The most relevant sectors include Government Agencies and Public Services, as it directly addresses the military and defense capabilities of government agencies. Additionally, aspects pertaining to Private Enterprises, Labor, and Employment are relevant due to the focus on technology and workforce implications around military service and contracting. The references to the integration of AI in public service operations suggest wider implications for governmental applications. Therefore, the scores reflect a robust association with sectors impacted by AI, especially within government operations and military contexts.


Keywords (occurrence): artificial intelligence (109) machine learning (17) neural network (1) deep learning (1) automated (20) algorithm (1) show keywords in context

PM balance verifications and weighing process verification.

Summary: The bill outlines verification processes for measuring particulate matter (PM) concentrations, specifying requirements for balance performance, calibration, and validation to ensure 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 verification processes related to particulate matter (PM) balances and weighing processes, detailing emissions testing methodologies without explicit mention or relevance to AI. It does not address social impacts of AI systems, data governance in AI applications, the integrity or security of AI systems, or the robustness of AI systems and benchmarks. As a result, the text does not provide relevant connections to the categories outlined.


Sector: None (see reasoning)

The text pertains to environmental regulations and emissions testing, and does not address any specific use of AI within the listed sectors. There is no discussion on voting systems, government services, legal frameworks, healthcare applications, business impacts, academic research, international collaboration, or use by NGOs. It is focused on technical standards for measuring emissions rather than their intersection with AI in various sectors.


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