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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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4163 results:


What must I include in my plan submittal?

Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): neural network (2)

What definitions apply to this subpart?

Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): neural network (1)

California SB1446: Grocery retail store and retail drug establishment employees: self-service checkout and consequential workplace technology.

Description: An act to add Part 9.6 (commencing with Section 2530) to Division 2 of the Labor Code, relating to private employment.
Collection: Legislation
Status date: May 21, 2024
Status: Engrossed
Primary sponsor: Lola Smallwood-Cuevas (5 total sponsors)
Last action: From committee: Do pass and re-refer to Com. on RLS. (Ayes 10. Noes 3.) (August 15). Re-referred to Com. on RLS. (Aug. 15, 2024)

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

This text explicitly mentions 'artificial intelligence' and 'automated decision-making systems technology,' which situate it firmly within the context of automation in workplaces. The legislation regulates the implementation of self-service checkout systems and specifies conditions under which they can operate, indicating a direct focus on the social and workplace impacts of AI-driven technology. It also discusses the requirement for notifying workers about implementing consequential workplace technologies, which ties closely to social impact in terms of employee rights and consumer protection. The text does not directly address data governance, system integrity, or robustness in terms of testing or certifying the AI technologies involved, but it ensures responsibilities around human oversight and interaction in retail contexts. Overall, the social dynamics of AI use here, especially concerning workers and their job functions, makes this category extremely relevant and provides a framework for accountability and protections that could resonate across employment sectors.


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

The legislation primarily addresses the use of AI in grocery retail and drug establishments, indicating relevance to the Private Enterprises, Labor, and Employment sector. By discussing the implementation of self-service checkouts and the related technological changes, the bill touches upon the labor implications of AI and automation. It does not address the Judicial System, Healthcare, or specifics of government operations, nor does it bring up international cooperation or academic research directly. While its focus is on retail, the worker protections involved bolster its significance within the labor and employment sector. Other sectors such as nonprofits or hybrid and emerging markets are less applicable as they are not referenced in the context of AI implementation.


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

New Hampshire HB1596: Requiring a disclosure of deceptive artificial intelligence usage in political advertising.

Description: Requiring a disclosure of deceptive artificial intelligence usage in political advertising.
Collection: Legislation
Status date: Aug. 6, 2024
Status: Passed
Primary sponsor: Angela Brennan (11 total sponsors)
Last action: Signed by Governor Sununu 08/02/2024; Chapter 345; eff. 08/01/2024 House Journal 16 (Aug. 6, 2024)

Category:
Societal Impact
System Integrity (see reasoning)

This legislation clearly addresses the impact of AI through the regulation of deceptive practices in political advertising, specifically concerning the use of synthetic media and deepfakes. By requiring disclosures for media created using AI, it emphasizes consumer protection, transparency, and accountability, which are central to the Social Impact category. Furthermore, the bill outlines the consequences of using AI-generated content misleadingly, thereby directly linking it to social implications such as misinformation in political discourse. Therefore, this category is rated as extremely relevant (5). Regarding Data Governance, while the bill includes elements related to transparency and accountability, it does not explicitly govern the accuracy or handling of data within AI systems, focusing more on its application in media versus the underlying data governance, which is why it receives a lower score of 2. System Integrity is relevant due to the focus on ensuring transparency in how AI is employed in political advertising and mandates for disclosures, which relates to the control and oversight aspect, thus receiving a score of 4. Robustness is less relevant since the legislation does not discuss performance benchmarks or compliance standards for AI systems, resulting in a score of 1.


Sector:
Politics and Elections
Government Agencies and Public Services
Judicial system (see reasoning)

This legislation is directly tied to the sector of Politics and Elections as it addresses the use of AI specifically within the context of political advertising, aiming to curtail deceptive practices in electoral processes. Given that the bill mandates disclosures for AI use in political campaigns, it is scored as extremely relevant (5). In terms of Government Agencies and Public Services, there could be implications relating to enforcement and investigation, but this aspect is secondary, meaning it receives a score of 3. The Judicial System is relevant because the bill introduces new legal actions related to violations, thus also receiving a score of 4. Other sectors such as Healthcare, Private Enterprises, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, and Hybrid, Emerging, and Unclassified do not pertain to the contents of this text, resulting in scores of 1 for each of those categories.


Keywords (occurrence): artificial intelligence (8) deepfake (12) synthetic media (7) show keywords in context

United States HB3560: National Drone and Advanced Air Mobility Research and Development Act

Description: To provide for coordinated Federal efforts to accelerate civilian unmanned aircraft systems and advanced air mobility research and development for economic and national security, and for other purposes.
Collection: Legislation
Status date: May 22, 2023
Status: Introduced
Primary sponsor: Frank Lucas (sole sponsor)
Last action: Placed on the Union Calendar, Calendar No. 527. (Aug. 13, 2024)

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

The text outlines the National Drone and Advanced Air Mobility Research and Development Act, primarily focusing on the coordination and advancement of unmanned aircraft systems and air mobility technologies, which implies the integration of AI technologies for optimization in these systems. However, explicit discussion of social impacts, data governance issues, system integrity measures, or robustness benchmarks is limited. The emphasis lies more on research and development rather than specific legislative measures that address the societal implications or the technical robustness of these technologies.


Sector:
Government Agencies and Public Services
Academic and Research Institutions
International Cooperation and Standards (see reasoning)

The bill significantly addresses advanced air mobility and unmanned aircraft systems, elements that can bridge into various sectors. Its implications for governmental practices, public services, security, and academic involvement in research are potent. However, it doesn't directly engage with sectors like healthcare, political campaigns, or nonprofits. The integration of these technologies may transform transportation systems and government operations, meriting relevance to those sectors.


Keywords (occurrence): artificial intelligence (7) machine learning (2) algorithm (1) show keywords in context

Proclamation 10073 of September 11, 2020. Minority Enterprise Development Week, 2020

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): artificial intelligence (1) machine learning (1) 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, 2021
Status: Issued
Source: Office of the Federal Register

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

Work Practice Standards

Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

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

Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Proclamation 10086 of September 30, 2020. National Cybersecurity Awareness Month, 2020

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

The National Space Policy

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Official Board Commentary on Regulation II

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

The Commerce Control List

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): neural network (1) automated (12) algorithm (16) show keywords in context

Radiological computer aided triage and notification software.

Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Patent and Data Provisions

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Radiological computer-assisted diagnostic software for lesions suspicious of cancer.

Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Definitions of terms as used in the Export Administration Regulations (EAR).

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (6) algorithm (4) show keywords in context

Maintenance instructions.

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

Guideline on Air Quality Models

Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Technical Questionnaire for Encryption and Other “Information Security” Items

Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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