5046 results:
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
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)
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
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
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
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
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
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
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
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
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
Summary: The bill establishes communications and security requirements for Positive Train Control (PTC) systems, ensuring data integrity, access control, and service restoration protocols for railroads to enhance safety.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register
Description: An act to add Section 11546.45.5 to the Government Code, relating to automated decision systems.
Summary: The bill requires California's Department of Technology to inventory all high-risk automated decision systems used by state agencies by September 2024, ensuring transparency and assessing their impact on critical decisions affecting individuals.
Collection: Legislation
Status date: Oct. 13, 2023
Status: Passed
Primary sponsor: Chris Ward
(3 total sponsors)
Last action: Chaptered by Secretary of State - Chapter 800, Statutes of 2023. (Oct. 13, 2023)
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
This text predominantly discusses high-risk automated decision systems, clearly placing it within the realm of AI legislation. The category of Social Impact is highly relevant because the bill addresses implications for individuals and society, particularly mitigation of risks like discrimination and the impact of decisions made by AI systems in significant areas such as housing, education, and employment. Data Governance is also very relevant as it mandates the documentation of data used by automated decision systems and emphasizes compliance with privacy and accuracy standards. System Integrity is relevant due to the requirement of measures to mitigate risks associated with biases in decision-making and ensuring security and accuracy of these systems. Robustness is moderately relevant; while the bill focuses on auditing and risk mitigation, it does not specifically address developing benchmarks for performance. All categories intersect with the use and implications of AI systems identified in the text, driving the categorization.
Sector:
Government Agencies and Public Services
Judicial system
Healthcare
Private Enterprises, Labor, and Employment (see reasoning)
The legislation has implications across various sectors, especially Government Agencies and Public Services, as it specifically governs the use of AI in state agencies' decision-making processes. It may also have relevance in the Judicial System, but this act touches more broadly on agency decision-making rather than specific legal applications. In Healthcare, there are potential connections in terms of how automated systems might affect health services, but the text does not explicitly mention such usage. The relevance of AI in Private Enterprises, Labor, and Employment is also significant, given the potential impact of automated decision systems in these areas. Overall, the strongest relevance is found in Government Agencies and Public Services due to the direct implications for state operations.
Keywords (occurrence): artificial intelligence (1) machine learning (1) automated (14) show keywords in context
Summary: The bill highlights various Senate committee meetings, addressing topics such as American competitiveness, cybersecurity, substance use disorder care for veterans, and Supreme Court ethics, aiming to improve policy and governance.
Collection: Congressional Record
Status date: June 14, 2023
Status: Issued
Source: Congress
The text discusses various committee meetings and legislative items, but it does not explicitly mention Artificial Intelligence or any of its related terms. There's only limited reference to the use of automated systems (in the line 'to be transparent when using automated and augmented systems to interact with the public or make critical decisions'), which might imply some relevance to AI but lacks specificity. Consequently, all categories score low relevance as there is no detailed discussion or focus on AI's societal impact, governance, integrity, or robustness.
Sector: None (see reasoning)
The text covers various legislative meetings and proposals but does not specifically target any of the identified sectors concerning AI. There is a mention of automated systems, which could pertain to government services, but it is too vague and non-specific to directly connect to a particular sector. Thus, all sectors receive low scores as the text lacks clear relevance to AI applications or regulations within these sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill updates information reporting requirements for payment settlement entities regarding transactions made through payment cards and third-party networks, ensuring clear communication and access to statements for recipients.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text provided is primarily focused on the rules and regulations surrounding information reporting for payments made in settlement of payment card and third-party network transactions. It does not delve into Artificial Intelligence (AI) specifically, nor does it address the impact of AI on society or incorporate data governance as it pertains to AI-related technologies. The text discusses details on reporting requirements, definitions of payment transactions, and obligations of payment settlement entities but does not link these topics to AI concepts or technologies. Therefore, all categories can be rated as not relevant.
Sector: None (see reasoning)
The text is focused on legislation regarding payment transactions and reporting requirements. While it might intersect with broader financial regulations, it does not specifically address AI's application within any of the sectors provided. Terms like 'payment card transactions' or 'third-party networks' do not correlate with the defined sectors that concern AI interactions either. As such, all sectors can be considered not relevant.
Keywords (occurrence): automated (5) show keywords in context
Summary: The bill outlines the responsibilities and functions of various offices within the General Services Administration (GSA), focusing on legal, financial, operational, and information resource management services, including procurement and telecommunications.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily pertains to operations and regulatory functions of various offices within the General Services Administration, including the Information Resources Management Service which deals with automatic data processing and telecommunications. However, it does not explicitly mention or focus on AI-related technologies, applications, or implications. Consequently, the relevance to each category is limited. The absence of discussions around the societal impact of AI, data governance specific to AI data, integrity requirements for AI systems, or established benchmarks for AI performance leads to low scores across all categories. Overall, the information does not connect well with contemporary AI legislation themes.
Sector: None (see reasoning)
The text does not address the use of AI in any of the specified sectors; instead, it focuses on broad administrative and operational policies within government agencies. Consequently, no sector is particularly relevant, although there is a very slight connection in mentioning automated information systems, which could be framed within Government Agencies and Public Services. Overall, no significant implications for the sectors discussed are derived from this text, resulting in low scores across the board.
Keywords (occurrence): automated (1) show keywords in context
Summary: This bill mandates that heavy-duty engines over 14,000 pounds GVWR must have an onboard diagnostic (OBD) system to monitor and report emission-related malfunctions, enhancing environmental protection by ensuring compliance with diagnostic standards.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register
Description: To require that social media platforms verify the age of their users, prohibit the use of algorithmic recommendation systems on individuals under age 18, require parental or guardian consent for social media users under age 18, and prohibit users who are under age 13 from accessing social media platforms.
Summary: The Protecting Kids on Social Media Act mandates social media platforms to verify user ages, require parental consent for users under 18, restrict access for users under 13, and ban algorithmic recommendations for minors to enhance safety for young users.
Collection: Legislation
Status date: Nov. 1, 2023
Status: Introduced
Primary sponsor: John James
(2 total sponsors)
Last action: Referred to the Subcommittee on Innovation, Data, and Commerce. (Nov. 3, 2023)
Societal Impact
Data Governance (see reasoning)
The text explicitly discusses certain aspects of artificial intelligence in relation to algorithmic recommendation systems and their oversight in the context of minors using social media platforms. This aligns closely with the Social Impact category, as the legislation aims to protect vulnerable populations, particularly children, from potentially harmful AI-driven practices. The Data Governance category is also relevant due to the focus on user data verification and consent related to age, addressing the safe and ethical handling of data in AI systems. However, there are limited elements that would fit the System Integrity and Robustness categories, as these primarily deal with transparency, performance benchmarks, and security measures of AI systems, which are less directly concerned in this legislation.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment (see reasoning)
The legislation primarily impacts the digital landscape surrounding social media platforms, focusing on protecting minors, suggesting a significant relevance to the governmental and public services sector, ensuring that social media practices are compliant with regulations concerning user safety and data management. It also indirectly influences private enterprises as it pertains to the operational practices of social media companies, but it does not deeply engage with other sectors like healthcare or nonprofits as it specifically targets social media environments.
Keywords (occurrence): automated (1) recommendation system (1) show keywords in context
Summary: The bill outlines regulations for medical image analyzers, detailing performance testing, labeling requirements, and software documentation to enhance the accuracy and safety of radiological devices used in patient diagnosis.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill facilitates the replacement of U.S. trademark registrations with registered extensions of international trademark protections, streamlining processes for applicants and ensuring equivalent rights under U.S. law.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily focuses on legislative procedures regarding the extension of protection of international registrations in the U.S. patent system. It does not feature any explicit mentions of AI technologies or their societal impacts, data governance, system integrity laws, or robustness standards in relation to the application of AI. As such, it does not connect to the provided categories regarding social impact, data governance, system integrity, or robustness, making all categories not relevant throughout three independent evaluations.
Sector: None (see reasoning)
Similar to the category evaluations, the text does not address any specific sectors related to AI use or regulation, including politics, government, the judicial system, healthcare, private enterprises, academic institutions, international cooperation, or nonprofits. Consequently, all sectors are deemed not relevant as there are no ties to AI applications or discussions within the provided text.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill mandates institutional investment managers to report information on accounts exceeding $100 million in section 13(f) securities, aiming to enhance transparency and regulatory oversight.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily concerns the reporting requirements for institutional investment managers concerning certain securities, specifically section 13(f) securities. It focuses on the obligations of these managers to file accurate and timely reports about their investment holdings. There are no explicit mentions of Artificial Intelligence or any related terms such as algorithms, automation, machine learning, etc. As such, there is no direct relevance to the AI-related impacts on society, data governance, system integrity, or robustness.
Sector: None (see reasoning)
The text primarily addresses rules and regulations concerning institutional investment managers and their obligations regarding securities. It does not reference the use of AI in political processes, government services, the judicial system, healthcare, or any aspects of academic institutions as they relate to AI. Thus, none of the predefined sectors apply to the content of the text.
Keywords (occurrence): automated (1) show keywords in context
Summary: This bill revises the index of the Code of Federal Regulations (CFR), categorizing its titles, chapters, subchapters, and parts for easier navigation and access to federal regulations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill establishes procedures for importers to apply for special permits for immediate delivery of goods at U.S. ports, detailing documentation requirements and potential penalties for non-compliance.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text provided is a detailed regulatory framework related to the Customs and Border Protection (CBP) and the procedures for obtaining special permits for merchandise delivery. It addresses procedural aspects and documentation requirements without mentioning, referencing, or implying the influence or inclusion of any AI technologies, systems, or methodologies. Therefore, the legislation appears to lack direct relevance to the specified categories related to AI. Social Impact, Data Governance, System Integrity, and Robustness focus on inclusion of AI aspects, but this text does not indicate any connection to AI dynamics regarding societal impact, data usage, system security, or performance measures.
Sector: None (see reasoning)
The text largely discusses procedural protocols relevant to customs and import regulations. There is no reference to AI applications, nor is there a context of legislative action that revolves around any of the sectors outlined. The sectors also include specific mentions of areas like politics, healthcare, and public services that do not connect with the customs and import-focused content of this document. Given this, every listed sector has no relevant ties to the information or implications presented in the text.
Keywords (occurrence): automated (1)
Summary: The bill clarifies shareholder rights and issuer obligations concerning blackout periods, allowing equity security owners to recover profits from directors violating trading restrictions during these periods under the Sarbanes-Oxley Act.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text does not explicitly mention AI or any related terms such as Artificial Intelligence, Algorithm, Machine Learning, or others from the provided list. It primarily focuses on regulations related to equity securities, shareholder rights, and the Sarbanes-Oxley Act provisions. As such, it does not engage with social implications of AI, data governance, system integrity, or robustness in a meaningful way. Therefore, all categories receive low relevance scores.
Sector: None (see reasoning)
The text does not mention any sectors affected by AI technology, such as politics, healthcare, or education. It mainly discusses regulatory measures for equity security owners and does not reference the use of AI in any government or organizational function. Thus, all sectors receive low relevance scores.
Keywords (occurrence): automated (1) show keywords in context