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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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5030 results:


Customer File Structure

Summary: The bill establishes a structured data file format for financial institutions to report customer and account information to the FDIC, ensuring accurate record-keeping and relationship tracking among account holders.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

State program requirements.

Summary: The bill establishes requirements for state economic incentive programs (EIPs) aimed at achieving emissions reductions while ensuring compliance with air quality standards. It emphasizes quantifiable, permanent outcomes, nondiscrimination, and federal enforcement.
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 addresses environmental programs, their implementation, and requirements related to emissions reductions in both attainment and nonattainment areas. There are no explicit references to AI, and the text primarily focuses on regulatory compliance and emissions management. Though automated systems might play a role in emissions monitoring and reporting, the text itself does not cover AI's social impacts, data governance, system integrity, or robustness. Therefore, relevance to AI categories is low.


Sector: None (see reasoning)

The text centers around environmental regulations and the establishment of economic incentive programs for emissions reductions. As it does not mention AI or directly relate to any of the outlined sectors, the relevance to the specified sectors also remains minimal. The text does not address politics and elections, government operations, the judicial system, healthcare, private enterprises, academic institutions, international cooperation, nonprofits, or any emerging sectors associated with AI.


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

Determination of donor suitability for human tissue intended for transplantation.

Summary: The bill establishes guidelines for screening and testing donors of human tissue for transplantation to ensure suitability by checking for communicable viruses, documenting medical histories, and maintaining records.
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

Listing of OMB control numbers.

Summary: The bill specifies the requirement for U.S. Customs to issue advisory rulings and final determinations regarding customs procedures and establishes the publication and review processes for these determinations.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provided largely consists of regulations concerning the issuance and review of advisory rulings and final determinations by Customs and Border Protection (CBP), as well as details on information collection requirements under the Paperwork Reduction Act. It does not contain any specific references or implications regarding AI technologies, their social impact, data governance, system integrity, or robustness as indicated in the definitions of the categories. Therefore, I would score all categories as 1 (Not relevant).


Sector: None (see reasoning)

The text revolves around procedural details for obtaining and managing advisories and final determinations in customs-related matters, lacking any explicit mentions of AI's application in politics, government operations, judiciary, healthcare, or other sectors. Due to the absence of relevant AI context, I will assign a score of 1 (Not relevant) to all sectors.


Keywords (occurrence): automated (2)

Coronary vascular physiologic simulation software device.

Summary: The bill establishes regulations for a coronary vascular physiologic simulation software device, classifying it as a Class II medical device that requires validation and premarket approval to assess blood flow metrics in coronary systems.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Movement of passenger equipment with other than power brake defects.

Summary: The bill outlines safety requirements for moving passenger trains with specific equipment defects, ensuring qualified personnel oversee operations and establish movement restrictions to maintain safety.
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 discusses regulations pertaining to the movement of passenger rail equipment with various defect conditions and the required safety measures. It addresses the limitations on passenger equipment movement and includes provisions for automated tracking systems which enhance safety and monitoring of defective equipment. However, it does not delve into the broader social, ethical, or governance implications of AI technologies, nor does it present any specific data governance, system integrity, or robustness contexts that are overtly related to AI developments or impacts. The mention of automated tracking may seem relevant but it applies primarily to ensuring compliance with safety regulations rather than to the ethical or operational integrity concerns around AI systems. Therefore, overall relevance to the AI-related categories is minimal.


Sector: None (see reasoning)

The text focuses on railroad regulations and the maintenance of passenger equipment's operational integrity, which is primarily a transport and safety issue rather than one related to AI-specific applications or implications within specified sectors. While there is a minor mention of automated tracking, it is related to defect management and not the application or regulation of AI in sectors like healthcare, governance, or the legal system. Consequently, the sector relevance is quite low.


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

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill H.R. 11 aims to enhance access to voting for Americans and diminish the influence of money in politics. It is designed to improve electoral integrity and fairness.
Collection: Congressional Record
Status date: July 18, 2023
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text mainly includes a list of public bills and resolutions without detailed discussion or references to artificial intelligence (AI) beyond a single mention in H.R. 4704 related to threats to public health and national security due to technical advancements in AI. Because this mention lacks sufficient context, the overall relevance to the categories is limited. Social Impact is noted as 'Very relevant' because it touches upon potential risks of AI. Data Governance, System Integrity, and Robustness receive lower scores due to the absence of detailed discussions on those topics. Overall, the text does not delve deep into AI legislation themes, thus limiting the relevance across all categories.


Sector:
Government Agencies and Public Services (see reasoning)

The text predominantly lists legislative proposals and does not delve into specifics regarding AI applications within any of the defined sectors. The mention of AI in H.R. 4704 (relating to public health and national security) could imply relevance for Healthcare, yet it does not sufficiently discuss AI within that context. The lack of clear connections to the other sectors leads to generally low relevance scores for all except Government Agencies and Public Services, which, while applicable due to the context of official legislative actions, remains weak due to generic nature. Overall, the text does not adequately address the specified sectors focused on AI.


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

Collection methods.

Summary: The bill outlines procedures for the U.S. State Department to collect debts owed to it, detailing methods such as administrative offsets, private collection agency referrals, and salary deductions while ensuring due process rights for debtors.
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 discusses regulatory procedures for the collection of debts owed to the State Department. There is no explicit reference to Artificial Intelligence or any of the related terminologies specified for scoring in the categories. However, components of the collection process may, in some contexts, involve automated systems, especially in reference to the automated databases mentioned in the context of consumer reporting. However, this involvement is not adequately detailed to justify scoring in the categories proposed. As such, all categories received a score of 1, indicating they are not relevant.


Sector: None (see reasoning)

The text does not address AI-related applications within any of the listed sectors, such as politics, education, or healthcare. Its focus on debt collection methods does not implicate any specific sector that directly relates to AI use or regulations. Given that there is no direct correlation with the sectors provided, each sector also received a score of 1 for not relevant.


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

Procedures and responsibilities of carriers filing outbound vessel manifest information via the AES.

Summary: The bill outlines procedures for carriers submitting electronic outbound vessel manifests via the Automated Export System (AES), emphasizing compliance, timely reporting, and recordkeeping to support U.S. export enforcement.
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 discusses the procedures and responsibilities of carriers in relation to the filing of outbound vessel manifest information through the Automated Export System (AES). There is no mention of Artificial Intelligence or related terms in the provided text. The focus is on regulatory compliance, submission processes, and recordkeeping requirements which do not intersect with the categories concerning social impact, data governance, system integrity, or robustness as they relate specifically to AI. Therefore, all categories score a low relevance.


Sector: None (see reasoning)

Although the text touches on regulatory procedures related to shipping and customs, it does not address any specific sectors involving the use of AI in political campaigns, public services, healthcare, or other defined sectors. Thus, it is not relevant to any of the defined sectors, scoring a low relevance across all sectors.


Keywords (occurrence): automated (1)

Prohibition of dual trading in security futures products by floor brokers.

Summary: The bill prohibits floor brokers from engaging in dual trading of security futures products to enhance market integrity and protect customer interests, with specific exceptions allowed under regulated conditions.
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

What definitions apply under the TANF regulations?

Summary: The bill outlines definitions and regulations for the Temporary Assistance for Needy Families (TANF) program, focusing on assistance provisions, program purposes, and special rules for domestic violence victims and state compliance.
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 regulatory framework of the Temporary Assistance for Needy Families (TANF) program, which does not explicitly mention or address AI-related topics such as Artificial Intelligence, algorithms, machine learning, or automation. Consequently, it appears to have little to no relevance to the categories of Social Impact, Data Governance, System Integrity, or Robustness. These categories would be relevant to legislation that directly engages with AI technologies, their governance, performance evaluation, societal consequences, and related safety measures. Since the TANF regulations focus on welfare assistance definitions and provisions, any potential links to AI are tenuous or non-existent.


Sector: None (see reasoning)

The legislation pertains strictly to welfare programs and assistance for needy families, and it offers no direct linkage to the defined sectors associated with AI applications, such as politics and elections, healthcare, or public services. Instead, the focus is on welfare definitions, provisions, and regulations. The absence of any mention of AI or its application within these sectors results in a low relevance score across each existing sector category.


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

Permissible service of TV translator and LPTV stations.

Summary: The bill regulates the permissible operations of TV translator and low power TV (LPTV) stations, including transmission methods, programming requirements, and technical standards, aiming to ensure effective broadcasting and public service.
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 technical specifications and operational guidelines for TV translator and LPTV (Low Power Television) stations. It does not address the social implications or ethical concerns regarding AI use in broadcasting. Although the text includes various legislative measures for broadcasting, it does not contain terms or contexts relevant to the categories of Social Impact, Data Governance, System Integrity, or Robustness as they relate to AI. Therefore, none of the categories are applicable to this text.


Sector: None (see reasoning)

The text primarily revolves around broadcasting regulations for TV translator and LPTV stations, and although broadcasting can sometimes involve AI technologies (for example, in content recommendations), there is little to no direct reference to AI in this text. The discussions are technical and regulatory in nature regarding signal retransmission and operational requirements rather than specific legislation addressing AI implications in the broadcasting sector. Therefore, none of the sectors, including Politics and Elections or Government Agencies and Public Services, receive a relevant score.


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

Hold File Structure

Summary: The bill establishes a detailed file structure for reporting account and hold information to the FDIC regarding deposit accounts and automated credits, ensuring data consistency and security.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Prohibitions and conditions on the importation and exportation of rough diamonds.

Summary: The bill establishes regulations prohibiting the import and export of rough diamonds not certified under the Kimberley Process, aiming to prevent the trade of conflict diamonds and ensure ethical sourcing.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text primarily focuses on regulations related to the importation and exportation of rough diamonds, economic sanctions, and general customs procedures. Although sophisticated data systems may be involved in the customs processes, there are no explicit references to artificial intelligence or related technologies within the text. Consequently, none of the categories: Social Impact, Data Governance, System Integrity, or Robustness are applicable in this context. The absence of AI-driven applications, ethical considerations, or performance benchmarks indicates a lack of relevant content regarding AI.


Sector: None (see reasoning)

The text does not identify or discuss any sectors in relation to AI, as it mainly pertains to customs regulations and processes surrounding the diamond industry and economic sanctions. It does not address any implications for 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 sectors in the realm of AI, leading to a classification of very minimal relevance in all areas.


Keywords (occurrence): automated (1)

Sweep/Automated Credit Account File Structure

Summary: This bill establishes a structured data file format for reporting sweep and automated credit account activities to the FDIC, ensuring accurate tracking of funds in investment vehicles linked to deposit accounts.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (11) algorithm (2) show keywords in context

Large-bank deposit insurance determination modernization.

Summary: The bill modernizes large-bank deposit insurance determinations to ensure continuity post-failure, streamline FDIC operations, enhance depositor liquidity, and improve market discipline while reducing costs.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (8) algorithm (4) show keywords in context

Standards for health information technology to protect electronic health information created, maintained, and exchanged.

Summary: The bill establishes standards for health information technology to protect electronic health information, focusing on secure coding, encryption, and interoperability to enhance data safety and accessibility in healthcare.
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

What is an acceptable signature.

Summary: The bill outlines procedures for filing applications for lump-sum death payments and annuities under the Railroad Retirement Board, including acceptable signature requirements and filing protocols to ensure eligible beneficiaries receive benefits.
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 discusses the procedures for filing applications for benefits from the Railroad Retirement Board, with a focus on signature requirements. The mention of an 'automated claims system' implies some degree of reliance on AI or algorithmic processing, particularly in relation to signatures. However, the text lacks detailed exploration of AI's impact on society, data governance within AI systems, or the integrity of AI systems themselves. Therefore, while there is a tangential reference to automation, it does not sufficiently engage with the complex issues relevant to the categories described.


Sector:
Government Agencies and Public Services (see reasoning)

The text is centered on procedural regulations regarding signatures for benefit applications, with no direct implications for specific sectors like politics, healthcare, or others defined. Although there is a brief mention of an automated claims system, it does not elaborate on its significance for government functions or public services beyond procedural details. Consequently, the text does not meaningfully address the use of AI in these sectors.


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

SENATE ACCOMPLISHMENTS

Summary: The bill summarizes Senate Democrats' achievements in a challenging year marked by Republican obstruction, emphasizing bipartisanship, successful legislation, and calls for cooperation to address upcoming challenges.
Collection: Congressional Record
Status date: Dec. 20, 2023
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text does not extensively discuss AI in detail but mentions the work on artificial intelligence within the context of bipartisan efforts and legislative priorities for the upcoming year. It hints at addressing AI issues and developing legislation surrounding it, which speaks to its relevance in the context of Social Impact, particularly through the lens of legislative attention to potential societal implications of AI. However, it lacks specific details on issues that would fall under Data Governance, System Integrity, or Robustness. Overall, the primary reference to AI relates to its potential societal impact and legislative consideration, making Social Impact the most relevant category.


Sector: None (see reasoning)

This text primarily discusses legislative accomplishments without explicit details on the sectors listed. The mention of artificial intelligence could relate to government agencies and public services due to its potential applications in these areas. However, there is no direct reference to specific actions or initiatives tied to the other sectors, making the relevance of sectors like Politics and Elections, Judicial System, Healthcare, Private Enterprises and others very limited. Therefore, while there is a glimmer of connection to Government Agencies and Public Services through AI implementation, the overall relevance to specific sectors is minimal.


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

(Item 1006) Purposes of the transaction and plans or proposals.

Summary: The bill requires detailed disclosures about significant transactions, corporate events, and agreements involving a company and its affiliates, aiming to ensure transparency for investors in securities dealings.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text primarily focuses on regulations concerning corporate transactions and disclosures relating to capital markets. There are no explicit references to AI or its associated terms such as algorithms, machine learning, or automated decision-making processes. Therefore, it lacks any significant connections to the supplied categories concerning the social impact of AI, data governance regarding AI systems, integrity of AI systems, or robustness in terms of AI performance standards. The text is entirely directed toward corporate governance and regulatory frameworks rather than AI-related issues.


Sector: None (see reasoning)

The document focuses on corporate regulations, particularly in the context of disclosures and transactions in securities. It does not specifically address the use of AI in any sector including politics, government services, healthcare, or employment. The legislation appears to pertain to traditional corporate activities and does not overlap with AI applications or governance in any sector, making it highly unrelated. Therefore, it receives the lowest score across all sectors.


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