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

4429 results:


Standard No. 202a; Head restraints; Mandatory applicability begins on September 1, 2009.

Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Certification, quality assurance, and quality control record provisions.

Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Conversion Procedures

Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Methods to determine taxable income in connection with a cost sharing arrangement.

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

Functional and technical EBT system requirements.

Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Delivery restrictions.

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

Initial certification and recertification procedures.

Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

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

Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Office operations and application processing.

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

Foreign base company sales income.

Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Under Secretary for Research, Education, and Economics.

Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Article 4A, Funds Transfers

Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

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

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.

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

Performance Specifications

Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Official Bureau Interpretations

Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register

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

Methods for Organic Chemical Analysis of Municipal and Industrial Wastewater

Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (7) show keywords in context

How do I demonstrate continuous compliance with the emission limitations, operating limits, and work practice 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 relates to environmental emissions compliance and monitoring requirements for electrical generating units (EGUs). It does not directly address the broader societal impacts of AI, nor does it discuss issues related to data governance, system integrity, or robustness. Although there is mention of 'neural network combustion optimization,' this is only in the context of improving combustion efficiency and does not expand into a wider discussion about AI's societal impacts or implications. Thus, it appears largely irrelevant to the key aspects of the provided categories.


Sector: None (see reasoning)

The text does not discuss AI's application within defined sectors like politics, government agencies, healthcare, etc. The only mention related to neural networks pertains to combustion optimization, not specific use cases or regulations within these sectors. Consequently, it does not provide any context that could relate to any of the predefined sectors.


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

What must I include in my plan submittal?

Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
System Integrity (see reasoning)

The text outlines requirements for state plan submissions to the EPA, which includes references to neural networks as part of heat rate improvement measures. However, the focus is primarily on compliance with environmental standards rather than the broader social implications or governance surrounding AI systems. Therefore, while there is a mention of AI (neural networks), it is not deeply embedded in social, data governance, system integrity, or robustness concerns. As a result, the relevance to the categories can be rated as follows: The impact of AI on society is very limited, mainly focusing on the performance and efficiency improvements in emissions, thus it receives a score of 2 for Social Impact. Data Governance has a slight relation, primarily concerning the performance standards but does not address data management policies; it receives a score of 2 as well. System Integrity is somewhat relevant due to requirements for quantifiable and verifiable performances but lacks provisions regarding transparency and human oversight, earning a score of 3. Robustness is less pertinent to the legislation described, as it does not discuss benchmarks or certifications specific to AI performance measures, hence a score of 2.


Sector: None (see reasoning)

The text primarily focuses on regulations regarding energy facilities and their compliance with EPA standards. The mention of 'neural network/intelligent sootblowers' indicates a technological improvement but does not pertain directly to any specific sector like politics, healthcare, or public services. While the text does have implications for the environment, it does not tie directly to the roles of AI across defined sectors such as government services or healthcare settings. The references to standards and facilities suggest a relevance to private enterprises and possibly government regulations, but not in a direct manner. Therefore: Politics and Elections - score of 1; Government Agencies and Public Services - score of 1; Judicial System - score of 1; Healthcare - score of 1; Private Enterprises, Labor, and Employment - due to its focus on facilities and their operational performance, receives a score of 2; Academic and Research Institutions - score of 1; International Cooperation and Standards - score of 1; Nonprofits and NGOs - score of 1; and Hybrid, Emerging, and Unclassified - score of 1.


Keywords (occurrence): neural network (2)

Work Practice Standards

Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
System Integrity (see reasoning)

The provided text primarily addresses emissions limits and work practice standards for Electric Generating Units (EGUs) under specific environmental regulations. The only mention of AI is related to 'neural network combustion optimization software,' suggesting that AI is utilized to optimize combustion processes. Given this context, the category most relevant to this legislation would be System Integrity, as it pertains to the control and monitoring of emissions in a way that includes technological standards pertinent to AI. The categories of Social Impact, Data Governance, and Robustness are less relevant since the text does not emphasize societal impacts, data management, or performance benchmarks for AI itself, but rather specific technical and operational standards for pollution control.


Sector:
Government Agencies and Public Services (see reasoning)

The text does not specifically focus on sectors such as Politics and Elections, Government Agencies and Public Services, Judicial System, Healthcare, or Private Enterprises, Labor, and Employment, but it does mention the operational standards for Electric Generating Units which imply oversight and compliance measures that could link to Government Agencies and Public Services. However, the connection is not strong. The absence of clear implications for sectors like Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, or Hybrid, Emerging, and Unclassified also limits any assigns here. Therefore, the scoring reflects the minimal applicability to any of the sectors with respect to AI technology.


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