All Items
Legislation Only
Regulations and Documents
Legislation
About these categories

Social Impact: encompasses legislation that specifically addresses the impact of AI on society and individuals, including but not limited to; reducing the carbon footprint of AI systems, holding system developers accountable for the outputs of these systems, the establishment of new fairness and bias metrics to guard against AI-driven discrimination, the use of AI by minors, consumer protections for AI products, regulations that address psychological, physical, or material harm caused by interactions with AI systems, and the role of AI in misinformation, public discourse, and the erosion of trust in public institutions.

Data Governance: encompasses legislation that specifically addresses the secure and accurate collection and management of data within AI systems, including but not limited to; mandates for rectifying inaccuracies in AI data sets, mandates for ensuring AI data sets are free from biases, regulations that address intellectual property concerns with the unauthorized use of protected material in AI data sets, and requirements for data encryption, data anonymization, controlled access, and compliance with consumer privacy laws.

System Integrity: encompasses legislation that specifically addresses the inherent security, transparency, and control of AI systems, including but not limited to; mandates for human intervention and oversight in AI processes, standards for the interoperability of AI systems in essential services, and the implementation of security measures such as threat modeling, penetration testing, and incident response.

Robustness: encompasses legislation that specifically addresses the development and adoption of new benchmarks for AI performance, including but not limited to; the certification of AI systems against new benchmarks, ensuring compliance with international standards, requirements for auditing and transparent reporting to verify continuous regulatory compliance, and the creation of specialized oversight bodies.

About these sectors

Politics and Elections: encompasses legislation that specifically addresses the use and regulation of AI in political campaigns, electoral processes, and related legislative activities.

Government Agencies and Public Services: encompasses legislation that specifically addresses the use and regulation of AI by state and federal government agencies, as well as AI applications in the delivery of public services and enhancing government operations.

Judicial System: encompasses legislation that specifically addresses the use and regulation of AI by judicial and legal systems, including but not limited to the use of AI in case management and legal decision making.

Healthcare: encompasses legislation that specifically addresses the use and regulation of AI in healthcare settings, including but not limited to AI applications within hospitals and clinics, the development of AI-enabled diagnostic tools and related medical technologies, and the management of medical data.

Private Enterprises, Labor, and Employment: encompasses legislation that specifically addresses the use and regulation of AI in business environments, ensuring fair competition, and the effects of AI on labor markets, employment practices, and corporate governance.

Academic and Research Institutions: encompasses legislation that specifically addresses the use and regulation of AI in educational and research contexts.

International Cooperation and Standards: encompasses laws and agreements that address international cooperation on AI development, use, and regulation, including but not limited to multinational standards, cross-border data practices, and global ethical guidelines for AI.

Nonprofits and NGOs: encompasses legislation that specifically addresses the use and regulation of AI by nonprofits and non-governmental organizations and institutions.

Hybrid, Emerging, and Unclassified: encompasses legislation that doesn't neatly fit into other categories, as well as the application of AI in hybrid or emerging sectors.

Clear All

5049 results:


Fees.

Summary: The bill outlines the fees associated with processing Freedom of Information Act (FOIA) requests by the Department of Veterans Affairs, detailing fee categories based on requester types and procedures for charging fees.
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

What are the installation, operation, and maintenance requirements for my monitors?

Summary: The bill requires installation, operation, and maintenance of monitoring systems for emissions control equipment, ensuring compliance with pollution limits through regular inspections and data tracking for efficient environmental management.
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 monitoring requirements and operational guidelines for emissions control systems, such as baghouses, scrubbers, and automated systems. It doesn't explicitly address the social impacts of AI technologies or their governance. As such, the relevance of this text to the categories needs careful consideration. It pertains quite loosely to 'System Integrity' due to operational monitoring for emissions control systems, ensuring environmental safety, which indirectly relates to AI if analyzed under an automated monitoring system. However, since it doesn't directly concern AI systems or their governance, the relevance is minimal to 'Social Impact', 'Data Governance', and 'Robustness'. Overall, there isn't substantial content concerning the categories outlined.


Sector: None (see reasoning)

The document contains guidelines for monitoring and maintaining equipment in industrial contexts, but it does not specifically address any sector that utilizes AI technologies. It mentions automated systems but in a very specific context of equipment operation rather than broader AI sectors like Politics, Healthcare, or Government services. Hence, the relevance scores for the specified sectors remain low. There is no significant reference to AI applications within these sectors, making them not applicable for this text.


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

California ACR96: 23 Asilomar AI Principles.

Description: Relative to the 23 Asilomar AI Principles.
Summary: The bill expresses California Legislature's support for the 23 Asilomar AI Principles, promoting responsible AI development aligned with human values and public policy to ensure safety and fairness.
Collection: Legislation
Status date: Aug. 14, 2023
Status: Engrossed
Primary sponsor: Josh Hoover (70 total sponsors)
Last action: Referred to Com. on JUD. (Aug. 23, 2023)

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

The 23 Asilomar AI Principles explicitly address multiple aspects of AI development, including social implications, ethical considerations, and safety measures. These principles highlight the importance of human control, transparency, and shared benefits, which are central to the category of Social Impact. Furthermore, mentions of safety, security, data rights, and the importance of aligning AI with human values broadly connect to Data Governance, as responsible management of AI requires rigorous data handling practices. The principles also touch upon the integrity and performance of AI systems, which could relate to System Integrity and Robustness.


Sector:
Government Agencies and Public Services
Judicial system
Healthcare
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards (see reasoning)

The text discusses AI principles that span multiple sectors, primarily focusing on the ethical and responsible use of AI across various domains including healthcare, law, and finance. The emphasis on guiding values for AI development and policy has implications for Government Agencies and Public Services, as governmental oversight and public policy must adapt to include these principles. There is also relevance to the Private Enterprises, Labor, and Employment sector due to the impact of AI on the labor market and corporate governance. The discussion surrounding transparency and responsibility is pertinent to the Judicial System as well, where AI could influence decision-making processes. However, this does not directly link to all sectors equally, as those related to nonprofits and specific technology implementations may find less direct relevance.


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

Drug use review program.

Summary: The bill establishes a Drug Use Review (DUR) program requiring states to ensure appropriate outpatient drug therapy through prospective and retrospective reviews, educational programs, and a claims management system.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Functional Specifications for All Electronic Logging Devices (ELDs)

Summary: The bill establishes functional specifications for Electronic Logging Devices (ELDs) to enhance compliance, accountability, and data integrity in recording the duty status of commercial motor vehicle drivers.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Goal Setting Methodology

Summary: The bill establishes a framework for Federal agencies to request waivers for energy conservation procedures, set energy goals, and implement measures to improve energy efficiency and reduce consumption.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Effluent limitations guidelines representing the degree of effluent reduction attainable by the application of the best available technology economically achievable.

Summary: The bill sets effluent limitation guidelines for pollutants from liquid detergent operations, establishing maximum allowable discharges to ensure environmental protection through the use of economically achievable technology.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text primarily centers around effluent limitations and standards set by the Environmental Protection Agency (EPA) related to pollutant discharge—specifically outlining the maximum allowable levels of various pollutants from production processes. It does mention 'automated fill lines', which could imply automation, but there are no explicit references to AI technologies or concepts such as algorithms, machine learning, automated decision-making, etc. Therefore, the relevance to AI is quite low across all categories, as the text does not address or govern AI implications or frameworks in detail.


Sector: None (see reasoning)

The text mainly addresses environmental standards and does not relate to any sectors that involve AI applications. It focuses on the discharge of pollutants, which is more an environmental concern than a matter of AI regulation. While it does mention automated processes, it does not elaborate on how AI is involved in these processes, nor does it address AI use in critical sectors like politics, healthcare, or academia. Therefore, all categories receive very low relevance scores.


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

Alternate controller enabled infusion pump.

Summary: The bill establishes regulations for an alternate controller enabled infusion pump (ACE pump), defining its intended use, performance standards, safety measures, and premarket validation requirements to ensure safe drug delivery in healthcare settings.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

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

The text primarily discusses the classification and regulatory controls for an infusion pump. It specifically mentions controls related to the reliability and safety of the device when connected to automated systems, highlighting aspects of secure communication and validation testing. However, there is no explicit mention or focus on aspects related to the social implications or governance of AI systems. Therefore, while the infusion pump has automated elements, the overall context doesn't engage with broader AI impacts on society or governance of data. Thus, the categories will be considered relevant based solely on the connection to AI-driven automation involved in the infusion pump's operation.


Sector:
Healthcare (see reasoning)

This text is primarily relevant to healthcare because it details the classifications and regulations governing infusion pumps, which are used in medical settings. It describes the need for safety, performance standards, and control measures for devices used in healthcare, particularly focusing on the infusion pump's design and interaction with other devices. While it implies the role of technology, it does not directly call out other sectors such as politics or academia, making healthcare the most relevant sector.


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

Maine LD949: An Act to Protect Workers from Employer Surveillance

Description: An Act to Protect Workers from Employer Surveillance
Summary: The bill restricts employer surveillance, allowing it only for health or security needs, mandates employee notifications, data transparency, and grants employees the right to legal action for violations.
Collection: Legislation
Status date: June 6, 2023
Status: Passed
Primary sponsor: Amy Roeder (8 total sponsors)
Last action: Carried over, in the same posture, to any special session of the 131st Legislature, pursuant to Joint Order HP 1482. (May 10, 2024)

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

The text primarily focuses on the regulation of employer surveillance, which does tie into the use of technology in monitoring employees. However, the references to AI are not explicit but can be inferred, particularly in sections discussing 'automated decision systems' (section 6D), which implies the use of algorithms in employee monitoring. The legislation emphasizes the protection of worker privacy and limits the extent of surveillance, indicating its relevance to social fairness and labor rights. However, the lack of explicit AI-related language suggests that while it touches on AI, it is more about employee rights than the impact of AI itself, thereby making it moderately relevant in the category of Social Impact. Data Governance seems significantly relevant due to its focus on the collection and management of employee data, especially given requirements for data disclosure and the handling of personal data. System Integrity is relevant as it highlights safety and security measures surrounding employee monitoring methods, indicating that AI should incorporate ethical guidelines in their deployment. On the other hand, Robustness appears less relevant here as the bill does not address performance benchmarks or regulatory compliance specifically geared towards AI systems.


Sector:
Private Enterprises, Labor, and Employment (see reasoning)

The text relates to 'Private Enterprises, Labor, and Employment' as it primarily outlines the regulations governing employer surveillance practices in a work environment. The legislation seeks to balance the interests of employers in monitoring productivity and the rights of employees to privacy, making it directly relevant to this sector. An argument can be made for relevance in 'Government Agencies and Public Services' as government regulations on employer surveillance reflect public policy considerations, although it's more applicable to private enterprises. Other sectors such as 'Politics and Elections,' 'Judicial System,' and 'Healthcare' have no direct engagement with the content of the text. The relevance to 'Academic and Research Institutions,' 'International Cooperation and Standards,' 'Nonprofits and NGOs,' and 'Hybrid, Emerging, and Unclassified' is minimal. Thus, the strongest relevance is with Private Enterprises, Labor, and Employment.


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

Scope of rules; definitions.

Summary: The bill outlines regulations for taxpayer representation before the IRS, detailing powers of attorney, eligibility of representatives, and claims for special refunds related to employee taxes.
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 addresses the administrative rules and procedures related to the Internal Revenue Service and taxation. There is no explicit mention of Artificial Intelligence, data management, or other AI-related topics. As such, the legislation does not fall within the domains of Social Impact, Data Governance, System Integrity, or Robustness, which focus on AI's societal repercussions, data management, security, and performance standards respectively. Therefore, the relevance across all categories is nonexistent.


Sector: None (see reasoning)

The text discusses regulations pertaining to powers of attorney and procedures within the IRS, with no reference to the use of AI in any sector, including politics, healthcare, or public services. Consequently, all sectors have no relevance to the text as it relates solely to administrative tax processes without any connections to AI applications or regulations in those fields.


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

Command control system testing.

Summary: The bill establishes rigorous testing standards for command control systems used in launches, ensuring functionality and safety through acceptance and preflight tests, with detailed reporting requirements for compliance.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Terminology.

Summary: The bill defines terminology related to motor vehicles, safety equipment, and compliance responsibilities for manufacturers in the context of recalls and safety campaigns, ensuring clarity in regulatory language.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Deposit File Structure

Summary: The bill outlines the data structure and format requirements for deposit files submitted to the FDIC, ensuring accurate account information for insurance determinations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Expenses of inmate telephone use.

Summary: The bill establishes guidelines for inmate telephone use, including financial responsibility, monitoring procedures, and provisions for free calls under specific circumstances, emphasizing security and inmate communication rights.
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 regulations related to inmate telephone use within correctional facilities and does not contain explicit references or relevant implications regarding artificial intelligence (AI). It does mention automated processes related to account balance management, but this relates more broadly to operational protocols rather than to AI technologies or their implications. Therefore, this text does not align well with any of the categories concerning AI-related legislation.


Sector: None (see reasoning)

The text does not explicitly discuss or imply anything directly associated with any of the specified sectors. It focuses primarily on inmate telephone regulations and protocols established for communication between inmates and their attorneys. As there is no context regarding AI applications or their regulation within any of the sectors outlined, I score all sectors as not relevant.


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

Requirements governing the use of income and eligibility information.

Summary: The bill mandates state agencies to collect and validate income and eligibility information from various federal and state sources for applicants and recipients of assistance programs, ensuring accurate benefit determinations.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

SENATE COMMITTEE MEETINGS

Summary: The bill establishes a computerized schedule for Senate committee meetings and hearings, ensuring timely updates on schedules and cancellations, promoting transparency in legislative activities.
Collection: Congressional Record
Status date: Sept. 18, 2023
Status: Issued
Source: Congress

Category:
Societal Impact
Data Robustness (see reasoning)

The text mentions hearings focused on artificial intelligence within the financial services sector. This is relevant to the potential social impact of AI systems in financial decision-making processes and their implications for consumers and the marketplace. As such, it is highly relevant to the Social Impact category, particularly regarding accountability and consumer protections. However, there isn’t much emphasis on data governance or system integrity, as the focus is primarily on the social implications and the operational aspects rather than technical or regulatory concerns. The discussion of AI is tied to the practical applications in financial services; hence, it only lightly touches on robustness in relation to performance benchmarks or regulatory compliance. Given these factors, the Social Impact category will score high, while Data Governance, System Integrity, and Robustness will score lower due to their lack of substantial mention in the text.


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

The hearings explicitly mention the examination of artificial intelligence in financial services, indicating direct relevance to both the financial sector and the role of governmental oversight and regulation in this context. This aligns the text closely with the 'Government Agencies and Public Services' sector as it showcases how government committees engage with AI regulations. Although it mentions AI in the context of financial services, it does not delve into the implications for Employment directly nor into political campaigning, legal systems, healthcare, or issues specific to nonprofits/NGOs. Consequently, it will receive a moderate score for 'Private Enterprises, Labor, and Employment' due to the financial sector connection but will score lower across the other sectors.


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

Brain injury adjunctive interpretive electroencephalograph assessment aid.

Summary: The bill establishes standards for a brain injury adjunctive interpretive electroencephalograph assessment aid, ensuring it is used responsibly as an assessment tool, not a standalone diagnostic device, while detailing performance and safety requirements.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Adding, updating, and removing measures.

Summary: The bill allows the Centers for Medicare & Medicaid Services (CMS) to add, update, or remove measures for calculating Star Ratings in Medicare Part D, ensuring accurate performance assessments and data integrity.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Uniform Test Method for Measuring the Energy Consumption of Refrigerators, Refrigerator-Freezers, and Miscellaneous Refrigeration Products

Summary: The bill establishes a uniform test method for measuring energy consumption of refrigeration products, ensuring compliance with energy conservation standards and facilitating waivers for manufacturers during interim periods.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

How do I demonstrate continuous compliance with the emission limitations, operating limits, and work practice standards?

Summary: The bill outlines requirements for demonstrating continuous compliance with emission limits and standards in environmental regulations, emphasizing monitoring, reporting, and corrective actions for air pollution controls.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): neural network (3) show keywords in context
Feedback form