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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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5030 results:


Constitutional Authority and Single Subject Statements for H.R. 6806

Summary: H.R. 6806 establishes a certification program for artificial intelligence software in agriculture, aiming to ensure quality and reliability in AI applications within the agricultural sector.
Collection: Congressional Record
Status date: Dec. 14, 2023
Status: Issued
Source: Congress

Category:
Societal Impact
System Integrity (see reasoning)

The text explicitly mentions the establishment of a program to certify artificial intelligence software, suggesting a focus on the regulation and impact of AI in agriculture. Although it does not delve into specifics regarding societal impact, data governance, system integrity, or robustness of AI technologies, the mention of 'artificial intelligence' strongly indicates a connection to AI-related legislation. The impact on society could involve food safety and production efficiency, aligning with social implications, but more detail is needed for a robust score. The focus on certification suggests a relevance to system integrity but without clear mandates or regulations, the overall relevance in this context is limited, yet still present.


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

The text refers specifically to legislation that concerns the use of AI in agriculture. There is no direct mention of its applications in political frameworks, judicial systems, healthcare, or other sectors. However, the mention of agricultural products implies a sectoral relevance, indicating that it touches upon private enterprises, labor, and employment, as it can affect practices in farming and related businesses. Yet, the specificity of agriculture limits broader categorizations, resulting in moderate relevance.


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

Operation and maintenance expenses.

Summary: The bill establishes standardized operation and maintenance expense accounts for Rural Utilities Service (RUS) borrowers, detailing costs for various power generation, transmission, and distribution activities.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Methods to determine taxable income in connection with a controlled services transaction.

Summary: The bill establishes methods to determine taxable income in controlled services transactions, detailing criteria for cost determining methods, including reliability and contribution significance of services provided, to enforce appropriate tax regulations.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

United States SB2073: Kids Online Safety and Privacy Act

Description: A bill to amend title 31, United States Code, to require agencies to include a list of outdated or duplicative reporting requirements in annual budget justifications, and for other purposes.
Summary: The Kids Online Safety and Privacy Act aims to enhance online safety for minors by mandating platforms to implement protective measures and parental tools against harmful content and excessive use.
Collection: Legislation
Status date: Dec. 22, 2023
Status: Engrossed
Primary sponsor: Jon Ossoff (2 total sponsors)
Last action: Message on Senate action sent to the House. (July 31, 2024)

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

The Kids Online Safety and Privacy Act addresses how online platforms are designed and operated concerning minors, particularly regarding data privacy and safety protocols. It explicitly mentions 'personalized recommendation systems' and 'design features' intended to limit the engagement of minors in harmful online behaviors. As these elements directly relate to social impact, data governance, system integrity, and robustness in the context of AI applications (e.g., algorithms used in recommendation systems and automated decision-making for user safety), the relevance of each category is evaluated as follows: Social Impact is rated very relevant because the bill actively seeks to mitigate potential harm caused by AI through filter bubbles and safeguards for minors. Data Governance receives a very relevant score due to its focus on the management of personal data of minors and ensuring its use is ethical and responsible. System Integrity is also very relevant because the bill stresses the necessity for safeguards and parental controls associated with automated systems. Lastly, in terms of Robustness, the bill's mention of 'automated systems' implies there are standards and performance measures for ensuring safe engagement of minors with such systems, thus also meriting a very relevant rating.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)

The Kids Online Safety and Privacy Act primarily targets the landscape of digital interactions for minors, emphasizing the regulation of AI and automated processes directly affecting children. Therefore, the sectors are evaluated based on how they address this intersection of AI and child safety: Politics and Elections is scored slightly relevant, as while it doesn't directly pertain to electoral processes, regulatory discussions around minors may touch political interests. Government Agencies and Public Services rate as very relevant, reflecting the involvement of various government bodies in enforcing online safety measures. The Judicial System ranks slightly relevant as it may eventually be influenced by cases related to minors and platform safety. Healthcare receives a somewhat marginal score, as while there are mentions of mental health, it's indirect and does not pertain specifically to healthcare legislation. Private Enterprises, Labor, and Employment score moderately relevant due to implications for businesses operating online platforms. Academic and Research Institutions also score moderately relevant as studies mentioned involve oversight and research into internet safety for minors. International Cooperation and Standards gets a score of slightly relevant due to limited international scope. Nonprofits and NGOs are rated slightly relevant, as they may engage in advocacy around online safety for minors, but this act isn't directly aimed at them. Hybrid, Emerging, and Unclassified receives a score of moderately relevant as AI's intersection with online platforms creates unclassified dynamics in how children's user experiences are structured.


Keywords (occurrence): artificial intelligence (1) machine learning (1) automated (3) recommendation system (6) algorithm (14) show keywords in context

Massachusetts S307: Establishing a special commission to re-imagine school assessment and accountability

Description: For legislation to establish a Special Commission to Re-Imagine School Assessment and Accountability. Education.
Summary: The bill establishes a special commission in Massachusetts to re-evaluate school assessment and accountability systems, exploring alternative methods beyond standardized testing and incorporating public input for reform.
Collection: Legislation
Status date: Feb. 16, 2023
Status: Introduced
Primary sponsor: Jason Lewis (5 total sponsors)
Last action: Accompanied a study order, see S2841 (July 1, 2024)

Category: None (see reasoning)

The text focuses on establishing a special commission aimed at reimagining school assessment and accountability but does not reference AI explicitly. However, there is a mention of considering a process of public input and deliberation in accountability determinations, which indicates a desire for transparency that could align with AI system integrity concerns, although it is not directly addressing AI. Therefore, relevance is limited across all categories involved.


Sector: None (see reasoning)

The text relates to education and assessment rather than any sectors where AI is specified as the primary focus. While education systems could leverage AI for assessment, the text does not explicitly address AI applications within education or mention of AI's impact or use in educational settings. Hence, the scores reflect minimal relevance to the sectors.


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

The Future of Digital Assets: Identifying the Regulatory Gaps in Spot Market Regulation

Summary: The bill addresses regulatory gaps in the digital assets market, aiming to establish a comprehensive framework to protect consumers and foster innovation while managing risks associated with spot market regulations.
Collection: Congressional Hearings
Status date: April 27, 2023
Status: Issued
Source: House of Representatives

Category:
Data Governance (see reasoning)

The text addresses the regulatory considerations surrounding digital assets, which include discussions about safety, transparency, and consumer protection. However, there is no explicit mention or focus on the use of AI technologies within the context of digital assets, such as algorithms or automated decision-making systems. Therefore, while the text touches upon themes that may intersect with AI, such as innovation and regulation, these references are indirect and do not specifically relate to legislative actions regarding AI itself. The conversation largely centers on digital asset regulation without delving into AI-specific issues.


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

The text discusses digital assets, which can involve various applications of technology, including AI. However, it primarily focuses on regulations concerning financial markets and digital asset management rather than specific AI uses or regulations within sectors such as healthcare, politics, or public services. The context of innovation and regulatory frameworks indicates a connection to 'Private Enterprises, Labor, and Employment' due to the impact of digital assets on entrepreneurial opportunities and market practices. Other sectors do not have substantial relevance, as the discussion does not specifically address their AI applications.


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

Brain injury adjunctive interpretive electroencephalograph assessment aid.

Summary: The bill establishes regulations for devices that assist in interpreting electroencephalographs (EEGs) for brain injuries and neuropsychiatric conditions. It emphasizes their use as adjuncts to existing diagnostic methods while ensuring safety and effectiveness standards.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

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

The text primarily discusses the classification and specification of electroencephalograph assessment aids, focusing on hardware and software requirements, clinical performance testing, and the classification of devices used to interpret EEG data. The assessment aids explicitly involve the use of algorithms to process and interpret patient data. These aspects are highly relevant for the categories evaluated. The text's emphasis on clinical performance, safety, and effectiveness aligns the most with the System Integrity category due to its focus on device specifications and safety requirements. The Social Impact category may also be relevant as the implications of using such devices affect patient care and outcomes. However, the focus on technical specifications limits its relevance to topics like consumer protection or societal harm. The Data Governance category holds moderate relevance because of the implications regarding the accuracy and management of the data used by these devices, as well as concerns over biases within the algorithms. The Robustness category is less relevant as it mainly addresses performance benchmarks and oversight rather than legislation surrounding the creation and regulation of AI performance measures.


Sector:
Government Agencies and Public Services
Healthcare (see reasoning)

The text does not specifically address legislation relating to the use of AI in political campaigns, judicial settings, or international cooperation, which are covered in the respective sectors. However, it can be associated with the Government Agencies and Public Services sector in the context of FDA regulations regarding the deployment of medical devices within healthcare settings, indicating some regulation and oversight related to public health. The text's strong focus on the technical requirements and specifications for medical devices renders it less directly relevant to the other sectors like Private Enterprises, Academic Institutions, or Nonprofits. The study of brain injuries and interpretative aids does relate to Healthcare, therefore a moderate score is given.


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

Insurance of mortgage.

Summary: The bill outlines the procedures for insuring mortgages through the Mutual Mortgage Insurance Fund, detailing requirements for endorsement, documentation submission, and compliance for both Direct Endorsement and Lender Insurance programs.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Engineers.

Summary: This bill updates regulations for maritime personnel certifications, including radar observer and engineering endorsements, ensuring competency for safe vessel operation and compliance with international standards.
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 pertains to engineering qualifications and operational requirements for personnel on seagoing vessels, with specific references to the use of automated systems for personnel replacements. It does not address or include explicit references to AI or related technologies, thus making it minimally relevant to the categories outlined. The mention of 'automated systems' is in relation to personnel requirements, but it does not delve into the implications or issues of AI systems themselves. Therefore, the categories of Social Impact, Data Governance, System Integrity, and Robustness are deemed not particularly relevant to the text's core content.


Sector: None (see reasoning)

The text does not specifically address the sectors outlined as it primarily involves engineering and maritime regulations related to crew qualifications and vessel operations. It lacks direct relevance to 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. Consequently, it receives a score of 1 across all sectors.


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

CFR Index and Finding Aids, 2021

Summary: The "CFR Index and Finding Aids, 2021" bill provides a comprehensive index and reference tools for navigating the Code of Federal Regulations, aiding users in locating federal regulations by subject or agency as of January 1, 2021.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (13) show keywords in context

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

Summary: The bill outlines compliance requirements for emissions standards from electric generating units (EGUs), detailing monitoring methods, reporting procedures, and corrective actions for exceeding emission limits.
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

Notification and record keeping.

Summary: The bill establishes notification and record-keeping requirements for owners/operators of specific facilities regulated under EPA standards, ensuring compliance with environmental regulations and monitoring of emissions.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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

PTC Safety Plan content requirements and PTC System Certification.

Summary: The bill mandates detailed content requirements for Positive Train Control (PTC) Safety Plans and certifications to enhance safety standards for railroad operations, ensuring comprehensive risk assessments and operational protocols.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Qualified derivative payment.

Summary: The bill establishes guidelines for "qualified derivative payments" to foreign related parties, detailing taxation rates and reporting requirements, aiming to prevent base erosion and ensure tax compliance.
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

Payment of Federal share of compensation.

Summary: The bill outlines the process for insurers to certify and claim the federal share of compensation for insured losses. It mandates compliance with regulations, payment procedures, and provides guidelines for state insurance entities.
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 discusses the federal compensation process for insurers without any explicit mention or implication of AI technologies, concepts, or terminologies. Since there are no references to any AI-related aspects, it is not relevant to the categories regarding social impact, data governance, system integrity, or robustness. Thus, all categories will receive a score of 1.


Sector: None (see reasoning)

The text pertains to regulations involved in the payment of federal share compensation for insured losses related to acts of terrorism. It does not address or involve the application of AI within political campaigns, government agencies, judicial systems, healthcare sectors, private enterprises, academic institutions, international cooperation, or NGOs. Therefore, it receives a score of 1 for all sectors due to the lack of AI-related context.


Keywords (occurrence): automated (1)

General policy on HUD acquisition, ownership, and disposition of real estate assets.

Summary: This bill delineates HUD's policies for acquiring, owning, and selling real estate assets, outlining leasing options, sales methods, and eligibility criteria for purchasers to promote fair access and efficient asset management.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text outlines policies related to the acquisition, management, and disposition of real estate assets by HUD. While it touches on various regulations and processes, there is no mention of AI technologies. As such, the relevance of the AI-related categories is minimal. The absence of terms associated with AI systems or their implications implies that the legislation does not engage with issues concerning social impact, data governance, system integrity, or robustness regarding AI systems. Therefore, all categories are rated as not relevant.


Sector: None (see reasoning)

This text primarily discusses HUD's procedures and policies concerning real estate transactions and does not explicitly address AI-related applications in any sector, including those outlined. As such, it holds no relevance to sectors such as politics and elections, government agencies, healthcare, etc. Since there is no mention of AI's role in any sector, all sector evaluations return the lowest score.


Keywords (occurrence): automated (1)

Pediatric Autism Spectrum Disorder diagnosis aid.

Summary: The bill establishes a prescription device to aid in diagnosing Autism Spectrum Disorder in children, outlining performance standards, software requirements, usability assessments, and labeling instructions for clinical use.
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 discusses a medical device intended to assist in diagnosing Autism Spectrum Disorder in pediatric patients, which implicitly involves AI technologies such as algorithms for data interpretation. Given that it provides instructions and regulations concerning software verification and algorithmic outputs, this directly ties into pertinent considerations around AI's impact in terms of system performance and reliability. While it addresses clinical performance testing, user assessment, and data output interpretation rather than specific societal impacts or data governance issues, it includes elements pertaining to human oversight and the operational integrity of AI assessments, which feed into the categories of System Integrity and Robustness. However, the absence of explicit discussions related to ethical implications or social biases keeps the Social Impact score lower. The mention of cybersecurity highlights System Integrity's significance.


Sector:
Government Agencies and Public Services
Healthcare (see reasoning)

This legislation primarily deals with healthcare devices and their regulatory framework, focusing on the use of AI in diagnosing Autism Spectrum Disorder. Although it touches upon algorithmic output and how those outputs are assessed, its main thrust relates to healthcare, thus rendering it most relevant to the Healthcare sector. The regulations of the AI's application in a clinical setting also imply considerations tied to Government Agencies and Public Services, given their oversight role in medical device approvals and standards. Its relevance to other sectors like Politics and Elections or Academic and Research Institutions is less direct, as these areas are not the focal point of the text.


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

Massachusetts H3404: Establishing driver privacy protections

Description: For legislation to establish driver privacy protections. Transportation.
Summary: The bill establishes driver privacy protections in Massachusetts, regulating the use and retention of automated license plate reader data and tolling data, and enforcing strict access guidelines for law enforcement.
Collection: Legislation
Status date: Feb. 16, 2023
Status: Introduced
Primary sponsor: Sarah Peake (3 total sponsors)
Last action: Bill reported favorably by committee and referred to the committee on House Ways and Means (April 1, 2024)

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

The text primarily focuses on establishing driver privacy protections related to automated systems such as automated license plate readers (ALPR), emphasizing data privacy and accountability. The legislation does not explicitly mention the broader implications of AI systems on societal dynamics, but it indirectly connects to issues such as automated data collection and the potential misuse of such systems. However, it does not delve into elements of social harm caused by AI tech or broader societal impacts, hence receiving a moderate score. Regarding data governance, the legislation clearly sets forth regulations concerning the management and sharing of automated data, which is directly relevant to data governance principles, scoring high on this front. The system integrity aspect is touched on through mandates regarding proper access and usage of ALPR data, signifying a commitment to transparency and control of the identified systems. Robustness is less relevant since the text focuses on privacy protections rather than performance benchmarks or compliance standards.


Sector: None (see reasoning)

The text primarily pertains to the transportation sector, specifically concerning privacy protections around automated technologies that involve vehicle data. It primarily targets driver privacy and automated regulatory measures within this sector, which is essential for associated applications. No direct references to other sectors such as healthcare or judicial systems indicate that it is primarily relevant to the transportation and privacy regulatory aspect, scoring moderately for its focused applicability in the realm of transportation-related technologies. Other sectors do not receive relevance scores as they are not significantly represented in the text.


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

UNIFORM SYSTEM OF ACCOUNTS PRESCRIBED FOR PUBLIC UTILITIES AND LICENSEES SUBJECT TO THE PROVISIONS OF THE FEDERAL POWER ACT

Summary: The bill establishes a uniform system of accounts for public utilities and licensees regulated under the Federal Power Act, aiming to enhance transparency and consistency in financial reporting.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Commentary on Selected Sections of the Regulations on Criminal History Record Information Systems

Summary: The bill outlines regulations for criminal history record information systems, mandating timely updates and restricting access to ensure privacy while allowing legitimate data dissemination for criminal justice purposes.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

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