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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:


Adjunctive predictive cardiovascular indicator.

Summary: The bill establishes standards for a predictive cardiovascular indicator device, including requirements for data validation, clinical assessment, and user guidelines to ensure accuracy and reliability in predicting patient cardiovascular status.
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

What special terms do I need to know to understand this part?

Summary: This bill establishes regulations for Automated Clearing House transactions related to U.S. securities, including electronic signature rules, liability limitations, and guidelines for financial institutions handling these transactions.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (5) algorithm (3) show keywords in context

Administrative limitations, variances, tolerances, and exemptions.

Summary: The bill clarifies exemptions in federal service contracts regarding the application of labor standards, allowing variances and administrative limitations to support government operations while protecting prevailing labor 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 deals with administrative procedures and exemptions related to service contracts under labor law, specifically highlighting the authority of the Secretary of Labor and the various types of contracts that may be exempt from certain provisions of the Service Contract Act. It does not explicitly mention artificial intelligence or any related terms, nor does it address the social, data, or integrity aspects of such systems. Due to this focus, there is little direct relevance to the categories outlined. 1. **Social Impact**: The text does not provide information on the societal effects of AI systems nor does it address issues like fairness, bias, or misinformation. Therefore, the score is low. 2. **Data Governance**: There is nothing in the text that outlines regulations for data management or collection related to AI or automation. The mention of contracts does not inherently involve AI data governance. Thus, score is low. 3. **System Integrity**: While the text discusses certain regulations and limitations of service contracts, it does not involve the overarching themes of security, transparency, or control of AI systems. As a result, score is low. 4. **Robustness**: The document does not discuss benchmarks, performance, or compliance standards relating to AI systems. Hence, the score is low.


Sector: None (see reasoning)

The text addresses administrative processes around labor laws and service contracts related to government procurement; it does not pertain to specific sectors involving AI nor does it mention any applications that would typically fall under the sectors outlined. Each category is evaluated based on the following sector relevance: 1. **Politics and Elections**: No relevance, as the text does not involve electoral processes or political campaign regulations. Score is low. 2. **Government Agencies and Public Services**: While there are strategic implications for government contracts, it does not address AI applications within these agencies, so score is low. 3. **Judicial System**: No mention or application of AI within the judicial context. Score is low. 4. **Healthcare**: The text does not mention AI applications in healthcare, hence score is low. 5. **Private Enterprises, Labor, and Employment**: It discusses labor standards but not in the AI context or its implications for employment practices. Score is low. 6. **Academic and Research Institutions**: No reference to AI in educational or research setups. Score is low. 7. **International Cooperation and Standards**: The document is focused on domestic law rather than international governance of AI, resulting in a low score. 8. **Nonprofits and NGOs**: No mention of the involvement of nonprofits or NGOs within the context of AI or service contracts. Score is low. 9. **Hybrid, Emerging, and Unclassified**: The text does not touch on emerging sectors or hybrid applications that include AI technologies. Score is low.


Keywords (occurrence): automated (1)

Payment of fees and other charges.

Summary: The bill outlines the calculation and payment methods for fees related to Agricultural Marketing Service (AMS) services, including provisions for overtime and holiday rates, travel costs, and associated charges.
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 payment of fees and charges related to AMS (Agricultural Marketing Service) service programs, focusing on the calculation of rates and responsibilities of applicants regarding costs incurred. There is no mention of AI or its related concepts such as algorithms, machine learning, automated decisions, etc. As such, none of the categories are relevant to this text. The legislation does not appear to address social impact, data governance, system integrity, or robustness in relation to AI. Therefore, all categories are scored as not relevant.


Sector: None (see reasoning)

The text does not discuss AI applications or regulations that would pertain to any specific sector. It is focused solely on payment procedures and administrative policies related to USDA services. Consequently, it does not fit any of the defined sectors including politics, public services, judicial systems, healthcare, labor and employment, academic research, international standards, nonprofits, or emerging sectors. Thus, all sector categories are similarly scored as not relevant.


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

Requirements for obtaining official services.

Summary: The bill establishes requirements for obtaining official grain inspection services, detailing responsibilities of applicants and facilities, ensuring safety, accessibility, and proper recordkeeping during the inspection and weighing processes.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provides requirements for obtaining official services from the USDA's Grain Inspection, Packers and Stockyards Administration, but it does not explicitly mention or pertain to any AI-related systems, algorithms, or technologies. Although there is a reference to automated data processing systems in the context of weighing grain, it lacks sufficient detail or focus on the implications of AI, such as its impact on society or data governance. Consequently, none of the categories directly apply to the content of the text.


Sector: None (see reasoning)

The text outlines procedural and operational requirements for grain inspection services and does not address the role or regulation of AI within any specified sector. While there is a mention of automated data processing systems, it primarily focuses on ensuring compliance and operational integrity rather than on any specific sectoral impact of AI. Thus, it does not align with any of the predefined sectors satisfactorily.


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

Direct USAID Contracts With a U.S. Citizen or a U.S. Resident Alien for Personal Services Abroad

Summary: This bill establishes policies and procedures for USAID to contract U.S. citizens and resident aliens for personal services abroad, outlining eligibility, compensation, and benefits under such contracts.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (3)

Guideline on Air Quality Models

Summary: The bill outlines guidelines for the use of air quality models in regulatory assessments by the EPA and states, ensuring consistency and accuracy for air quality management and compliance.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

What do the terms in this rule mean?

Summary: The bill outlines regulations ensuring accessibility and services for passengers with disabilities on U.S. and foreign air carriers, as mandated by the Air Carrier Access Act of 1986.
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

Mandatory computerized support enforcement systems.

Summary: The bill mandates states to implement computerized support enforcement systems by specified deadlines, ensuring compliance with federal requirements to enhance child support collection and paternity determination processes.
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)

The text primarily deals with the requirements for implementing and maintaining computerized support enforcement systems. It does not explicitly address the social implications of AI systems, nor does it delve into accountability or bias associated with algorithms in the support enforcement context. As a result, it is rated as slightly relevant for the Social Impact category. The Data Governance category is relevant because there are references to managing and securing data within the various mandated processes, warranting a moderately relevant score. The System Integrity category is also considered moderately relevant since there is mention of security measures to prevent unauthorized access to data systems, aligning with transparency and control of AI systems. Finally, the Robustness category, which focuses on performance benchmarks and audits, is only slightly relevant as the text does not provide specific benchmarks or auditing processes for AI systems in support enforcement.


Sector:
Government Agencies and Public Services (see reasoning)

The text relates to the Government Agencies and Public Services sector because it outlines legislation about the operation and implementation of computerized support enforcement systems that are utilized by state agencies to manage child support enforcement. This clarity of purpose concerning state functions and service delivery in the social welfare context leads to a score of 4 for this sector. The text does not pertain to the other sectors as the focus remains firmly on enforcement systems without broader applications in politics, courts, healthcare, business, education, international issues, NGOs, or hybrid sectors.


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

Performance Specifications

Summary: The bill establishes performance specifications for continuous emission monitoring systems (CEMS) used in stationary sources, ensuring accurate monitoring and data validation for air quality compliance.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

DHS Systems of Records Exempt From the Privacy Act

Summary: The bill allows the Department of Homeland Security (DHS) to exempt its records systems from certain provisions of the Privacy Act, enhancing law enforcement and national security efficiency.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text does not explicitly mention AI or its related terms such as Artificial Intelligence, Algorithms, or Machine Learning. It mainly discusses the exemptions of DHS systems from the Privacy Act and concerns regarding data collection and management, but without any reference to the implications of these systems on AI governance or the technology itself. Hence, it has no relevance to Social Impact, Data Governance, System Integrity, or Robustness. Overall, AI is not mentioned, and the document seems to address general privacy and data management policies without a specific technological focus.


Sector: None (see reasoning)

The text does not specifically address any of the predefined sectors like 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, or Hybrid, Emerging, and Unclassified. It primarily discusses DHS's exemptions under the Privacy Act, which are applicable to governmental operations but do not delve into any sector-specific applications or implications regarding AI technologies. Therefore, it is not relevant to any sector.


Keywords (occurrence): automated (7)

Interim Transmission Electron Microscopy Analytical Methods-Mandatory and Nonmandatory-and Mandatory Section To Determine Completion of Response Actions

Summary: The bill establishes mandatory and non-mandatory transmission electron microscopy methods for analyzing asbestos in air samples, ensuring laboratories comply for environmental safety.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Cadmium.

Summary: The bill establishes safety standards for occupational exposure to cadmium, including permissible exposure limits, monitoring procedures, and requirements for respiratory protection and protective clothing to ensure worker safety in industries handling cadmium.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

How do I develop a site-specific monitoring plan for my continuous monitoring, bag leak detection, and ash handling systems, and by what date must I conduct an initial performance evaluation?

Summary: The bill outlines requirements for conducting inspections and performance evaluations of air pollution control systems, including continuous monitoring and bag leak detection, 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 discusses inspection and performance evaluation requirements for air pollution control devices and continuous monitoring systems. The focus is on environmental compliance, including the establishment of monitoring plans and conducting evaluations, with specific performance metrics and operational specifications outlined. However, the text does not articulate concerns, benefits, or regulations specifically related to AI technologies or systems. While automation is implied through the mention of automated sampling systems, there is no explicit reference to AI or machine learning. Therefore, relevance to Social Impact, Data Governance, System Integrity, or Robustness is negligible.


Sector: None (see reasoning)

The text outlines requirements for continuous monitoring systems and inspections within the context of environmental regulations, specifically addressing air pollution controls and emission management. Although monitoring systems may incorporate technology, the language used does not specify AI applications in public services, government operations, or other categorized sectors. Therefore, all sectors are deemed not relevant.


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

Recordation of transfers and other documents pertaining to copyright.

Summary: This bill outlines the procedures and fees for the recordation of copyright transfers and documents, aiming to streamline copyright administration and ensure proper documentation in compliance with U.S. copyright law.
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 copyright recordation, licensing fees, and procedural stipulations regarding document submissions to the Copyright Office. It does not explicitly mention or discuss any aspects related to AI technologies, their impacts, data governance, system integrity, or robustness. Therefore, all categories are deemed not relevant. The lack of direct references to AI terms means the text primarily concerns copyright laws and associated processes without touching on AI-related issues.


Sector: None (see reasoning)

Similarly, the text does not address any specific sectors related to AI applications, such as healthcare, politics, government agencies, or any business implications. Instead, it strictly pertains to copyright regulations and procedures. Consequently, each sector is also rated as not relevant due to the absence of any mention of AI's role in these contexts.


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

General recordkeeping and reporting provisions.

Summary: The bill outlines general recordkeeping and reporting requirements for affected sources under the EPA's regulations, focusing on monitoring parameters, data retention, and compliance reporting to ensure environmental standards are met.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text pertains primarily to general recordkeeping and reporting provisions in environmental regulations, specifically related to the monitoring and reporting of emissions from storage vessels and processes. It does not explicitly mention Artificial Intelligence, data governance specific to AI, the integrity of AI systems, or benchmarks for AI performance. As such, the text lacks relevance to the categories discussed. However, it relates to practices that may underpin data integrity and governance in broader terms, but not specifically related to AI systems or legislation focused on AI.


Sector: None (see reasoning)

This text does not address any specific sector relevant to Artificial Intelligence. It focuses on compliance necessities for emissions monitoring, reporting, and recordkeeping but does not mention AI's application in any sector such as politics, healthcare, or public services. While there are elements regarding data management, they do not involve AI contexts. Overall, the text is considered not relevant to the specified sectors.


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

Retention schedule.

Summary: The bill establishes retention schedules for employee performance records, specifying time frames for retaining various documents and outlines procedures for their disposal to ensure compliance and accountability.
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 details regulations about the retention and disposal of employee performance records. There is no explicit mention of AI or any of the associated keywords such as 'algorithm,' 'machine learning,' or 'automated decision.' The focus is primarily on manual and administrative record-keeping systems without any reference to AI systems or their impacts on social structures, public services, data governance, or system integrity. Therefore, the relevance of AI to the text is minimal and does not align with the four categories for scoring.


Sector: None (see reasoning)

Similarly, the sectors discussed do not appear to engage directly with AI's role in management, governance, or operational processes. While the text does relate to workforce and personnel management within government agencies, it does not specify the use of AI or automated systems in relation to employee performance evaluations or records management. As such, there's no relevance to sectors pertaining to the governance, legal, healthcare, or any of the specified sectors related to AI. Therefore, all sector scores are also at the lowest level.


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

DEPARTMENT OF THE ARMY FISCAL YEAR 2024 BUDGET REQUEST

Summary: The bill details the Department of the Army's fiscal year 2024 budget request, seeking $185.5 billion, emphasizing modernization, recruitment, and support for Ukraine amidst cuts and challenges.
Collection: Congressional Hearings
Status date: April 19, 2023
Status: Issued
Source: House of Representatives

Category: None (see reasoning)

The text primarily discusses the budgetary and strategic priorities of the Department of the Army for fiscal year 2024. While aspects of modernization may imply a connection to AI, the text does not explicitly mention AI-related technologies or their social implications, data governance, system integrity, or performance robustness. Therefore, all categories yielded low relevance due to the absence of direct references or implications concerning AI technologies and legislation related to those technologies. The themes outlined remain focused on general military strategies, funding challenges, and recruitment issues rather than explicitly addressing AI-related aspects.


Sector: None (see reasoning)

The content of the text deals with budget requests and strategic priorities of the Army, touching upon modernization and readiness. However, it does not reference AI's applications within governmental operations or any potential intersections between AI and military operations. The discussions are political and organizational rather than directly related to legislative considerations within any specific sector outlined. Therefore, the relevance to the specified sectors is minimal, reflected in low scores across all sectors evaluated.


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

Illinois HB1245: DPT RETURNING RESIDENT AFFAIRS

Description: Creates the Second Chance Public Health and Safety Act and amends the Freedom of Information Act, the Civil Administrative Code of Illinois, and the Unified Code of Corrections. Contains declarations and findings. Creates the Department of Returning Resident Affairs and sets forth its powers in relation to returning residents (residents who have been detained, are defendants in criminal prosecutions, are incarcerated, or have been incarcerated) and other matters. Provides that the Department ...
Summary: The bill establishes the Department of Returning Resident Affairs in Illinois, creating the Second Chance Public Health and Safety Act to support individuals re-entering society from incarceration, providing coordinated services for their successful reintegration.
Collection: Legislation
Status date: Jan. 18, 2023
Status: Introduced
Primary sponsor: Justin Slaughter (23 total sponsors)
Last action: Rule 19(a) / Re-referred to Rules Committee (March 27, 2023)

Category: None (see reasoning)

The text describes the creation of the Department of Returning Resident Affairs and outlines measures to support returning residents, focusing on their successful reintegration. However, it does not explicitly address AI technology or its implications within the framework of returning resident affairs. The social impact primarily surrounds rehabilitation, welfare, and community support rather than the implications of AI. Additionally, there's no indication of regulation or oversight related to data management, system security, or benchmarking, which would have aligned with the Data Governance, System Integrity, or Robustness categories. Thus, none of the categories are highly relevant to the text provided.


Sector:
Government Agencies and Public Services (see reasoning)

The legislation pertains primarily to social services and rehabilitation for returning residents rather than directly to the sectors defined. While there are implications for government agencies and public services, it does not strategically address AI applications in these areas. The mention of a hotline and community organization partnerships may relate to governmental functions, but the focus on AI is notably absent. Therefore, the text holds slight relevance to the Government Agencies and Public Services sector, while remaining irrelevant to the remaining sectors.


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

Prescriber verification.

Summary: The bill establishes requirements for sellers of contact lenses to verify prescriptions through direct communication with prescribers, ensuring accuracy and compliance with regulations. It aims to enhance prescription integrity and patient safety.
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 primarily deals with regulations concerning prescription verification for contact lenses, with a focus on communication protocols and recordkeeping requirements between sellers and prescribers. There is mention of 'automated telephone verification messages,' which aligns with aspects of System Integrity, addressing human oversight and communication within automated processes. However, it lacks broader implications regarding social impact, data governance, or robust performance benchmarks for AI systems, leaning more towards regulatory compliance than AI's social or data collision aspects.


Sector:
Government Agencies and Public Services (see reasoning)

The text relates to Government Agencies and Public Services through its regulatory framework targeting the sale of medical devices (contact lenses). The mention of automation in verification processes suggests a connection to government oversight and compliance with trade regulations. There is no direct mention of politics or specific sectors like healthcare or nonprofits, but it could marginally connect to the healthcare sector due to the involvement of prescriptions.


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