5029 results:
Summary: The bill facilitates discussions on various topics through committee meetings, including mental health care, clean water infrastructure, fentanyl crises in Native communities, and AI in healthcare.
Collection: Congressional Record
Status date: Nov. 8, 2023
Status: Issued
Source: Congress
Societal Impact (see reasoning)
The text discusses several hearings in Congress, notably focusing on AI. The mention of 'Artificial Intelligence' is directly relevant to the discussion of its implications. Specifically, the hearings cover various aspects such as AI's influence on policymaking and its applications in healthcare. This engagement makes the text pertinent to Social Impact, particularly regarding healthcare AI, as well as discussions on AI ethics and accountability. However, the text does not delve into technical aspects or frameworks of data governance, system integrity, or robustness in AI, which would warrant high relevance scores in those areas.
Sector:
Government Agencies and Public Services
Healthcare
Academic and Research Institutions (see reasoning)
The text prominently features AI-related discussions in both the health sector and broader implications for society. The committee hearings aligned with 'AI in Health Care' indicate a clear intersection with healthcare legislation, while discussions around the philosophy of AI may touch upon broader societal impacts and ethics as it pertains to public discourse. However, the absence of direct mentions of AI in sectors such as Judicial System, Private Enterprises, and others limited the overall relevance for those categories.
Keywords (occurrence): artificial intelligence (2)
Summary: The Fiscal Year 2024 NDAA authorizes military spending and operations, emphasizing oversight, addressing threats from China, and includes provisions for collaboration with Israel on artificial intelligence.
Collection: Congressional Record
Status date: July 11, 2023
Status: Issued
Source: Congress
Societal Impact (see reasoning)
The text primarily focuses on military operations and national defense themes, with a specific mention of legislation pertaining to the establishment of the United States-Israel Artificial Intelligence Center. This particular mention signifies a focus on AI-related cooperation and development in a defense context, making it relevant primarily to the 'Social Impact' category, as it implies implications of AI in a military and geopolitical sense. The other categories such as Data Governance, System Integrity, and Robustness are not directly addressed. Hence, they score lower in relevance.
Sector:
Government Agencies and Public Services
International Cooperation and Standards (see reasoning)
The focus on the establishment of an AI Center between the U.S. and Israel indicates a significant development in the international collaboration aspect of AI, particularly related to military and national defense applications. However, the text does not delve into specific applications of AI within politics or public services, nor does it address use in healthcare or judicial systems. Therefore, it is most pertinent to 'International Cooperation and Standards' and somewhat relevant to 'Government Agencies and Public Services' due to the military context. The other sectors receive low scores as they are not mentioned in the discussion for AI usage.
Keywords (occurrence): artificial intelligence (2) show keywords in context
Summary: The bill establishes accessibility standards for automated guideway transit systems and vehicles, ensuring safe securement for mobility aids and compliance with specific design requirements for passengers.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily addresses regulations related to the accessibility and operation of Automated Guideway Transit (AGT) vehicles and systems. While there is mention of 'automated' systems, the text does not engage with how AI technology specifically impacts social considerations, data management, system security, or benchmarking for performance, as outlined in the categories. The focus is instead on physical infrastructure and passenger safety pertaining to transit systems, reflecting almost no connection to AI's broader implications. Consequently, the categories of Social Impact, Data Governance, System Integrity, and Robustness are not directly relevant to the discussed framework of accessibility and transit operation.
Sector: None (see reasoning)
The text relates to public transport regulations with a focus on accessibility for individuals using mobility aids. There is a brief mention of automated systems, but the overall emphasis is on physical infrastructure aimed at ensuring mobility and safety rather than on deeper issues of AI's role in transport, governance, or society. As such, sectors like Government Agencies and Public Services reflect some relevance, as the regulatory framework is set forth by governmental bodies, but the legislation does not specifically address AI applications within those sectors. Other sectors such as Healthcare, Politics and Elections, Private Enterprises, etc., have minimal or no relevance based on the text content.
Keywords (occurrence): automated (2)
Summary: The bill establishes a Uniform System of Accounts for public utilities and licensees under the Federal Power Act, ensuring standardized accounting practices to enhance regulatory oversight and transparency in the energy sector.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily describes accounting practices for public utilities and licensees under the Federal Power Act. It does not explicitly mention or relate to AI, machine learning, or automated decision-making systems, nor does it delve into their societal impact, data governance, system integrity, or performance benchmarks. As such, the relevance of this legislation to the specific areas of AI-related categories is minimal. Each category’s relevance appears negligible in the context of the text's content.
Sector: None (see reasoning)
The document outlines rules and systems for public utilities, with no reference to the use or impact of AI, nor any applications of AI in politics, government services, healthcare, or other listed sectors. It also doesn't discuss the regulatory aspects of employing AI or technology within these sectors. Therefore, the legislation is not relevant to any specific sector categories.
Keywords (occurrence): automated (2) show keywords in context
Summary: The bill establishes minimum internal control standards for bingo operations to safeguard game integrity, manage financial transactions, and ensure accountability, particularly in charitable gaming. It outlines operational procedures, recordkeeping, and oversight requirements.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily focuses on internal control standards specific to bingo operations, emphasizing the safeguarding of games and revenues. Although it addresses aspects related to the integrity and security of gaming operations, it does not specifically pertain to AI technologies or their implications for social impact, data governance, system integrity, or robustness as defined by the categories. AI-related legislation typically focuses on how AI significantly affects society, data handling practices, system security, or performance benchmarks, none of which are covered in the context of bingo operations or internal control standards. Therefore, I would assign scores reflecting minimal relevance across all categories.
Sector: None (see reasoning)
The text is focused on regulatory compliance and standards for bingo operations. It contains no mention of AI's role or its applications in the sectors defined. Although it covers regulations applicable to gaming operations, it does not intersect with the political environment, judiciary processes, healthcare, business, academia, or international standards that typically involve AI applications. Consequently, it can be scored as having no relevant connections to the sectors outlined in the categories.
Keywords (occurrence): automated (3) show keywords in context
Summary: The bill details various Senate committee meetings, including nominations, hearings on rural broadband, Federal Reserve accountability, and improving healthcare access, aiming to address crucial national issues.
Collection: Congressional Record
Status date: May 17, 2023
Status: Issued
Source: Congress
Societal Impact
System Integrity (see reasoning)
The text is primarily a summary of congressional committee meetings on various topics. The mention of artificial intelligence is specifically in connection with 'S. 1564, to require the Director of the Office of Personnel Management to establish, or otherwise ensure the provision of, a training program on artificial intelligence for Federal management officials and supervisors.' This highlights an effort to educate and inform public officials about AI, which is relevant to the Social Impact and System Integrity categories. However, the legislation does not delve deeply into the broader societal impact, data governance, or robustness in terms of standards and benchmarks. Therefore, I would categorize the relevance to Social Impact as moderately relevant (3) as it implies awareness and training but lacks concrete actions to mitigate social impacts or ensure data governance. System Integrity is rated as very relevant (4) because it pertains to oversight and management of AI at a federal level. The other categories do not specifically apply, especially Data Governance and Robustness, which are not addressed in this text.
Sector:
Government Agencies and Public Services (see reasoning)
The text covers general congressional meetings and can touch upon various sectors indirectly, but it lacks any in-depth analysis or specifics about how AI interacts with politics, government services, healthcare, etc. While it does mention federal officials in the context of training programs on AI, it doesn't dive into any sectoral applications. Therefore, the relevance for Government Agencies and Public Services is moderately relevant (3) due to the context of federal officials, while the other sectors do not have any significant direct or implied references. They all receive low scores as there is no explicit legislative action or discussions surrounding their respective fields in relation to AI.
Keywords (occurrence): artificial intelligence (1) show keywords in context
Summary: The Animal Drug and Animal Generic Drug User Fee Amendments of 2023 reauthorize user fee programs to expedite the development and review process for new animal drugs and generic animal drugs.
Collection: Congressional Record
Status date: July 17, 2023
Status: Issued
Source: Congress
The text primarily addresses amendments regarding user fees related to animal drugs and does not explicitly mention AI concepts or their applications. There are no references to AI technologies, algorithmic decision-making, or any related terms that would connect this legislation to AI. Thus, all categories related to the social impact, data governance, system integrity, and robustness of AI systems are deemed not relevant as the text does not discuss any aspects that would fit into these categories.
Sector: None (see reasoning)
The text also does not address any specific sectors in relation to AI, such as politics, government services, healthcare, etc. It is solely focused on the user fee amendments for animal drugs, which means it also lacks relevance to any defined sectors concerning AI. Therefore, all sectors receive the lowest score as they do not correlate with the content provided in the text.
Keywords (occurrence): artificial intelligence (1) show keywords in context
Description: A bill to amend the Public Health Service Act to provide for hospital and insurer price transparency.
Summary: The Health Care Prices Revealed and Information to Consumers Explained Transparency Act mandates price transparency for hospitals and insurers, requiring them to publicly disclose charges and pricing information for healthcare services to empower consumers.
Collection: Legislation
Status date: Dec. 14, 2023
Status: Introduced
Primary sponsor: Mike Braun
(11 total sponsors)
Last action: Read twice and referred to the Committee on Health, Education, Labor, and Pensions. (Dec. 14, 2023)
The text primarily focuses on hospital and insurer price transparency, which relates to healthcare but does not explicitly address AI. There are mentions of algorithms in relation to charges, but the legislation does not discuss AI systems, machine learning, or similar concepts in a way that would categorize it under the discussed AI categories. Therefore, its relevance in terms of Social Impact, Data Governance, System Integrity, and Robustness is limited and minimal.
Sector:
Healthcare (see reasoning)
The legislation is directly pertinent to the healthcare sector, as it aims to ensure greater price transparency within hospitals and clinics, which aligns closely with the focus on consumer protection and enhanced access to healthcare information. The lack of direct ties to issues concerning AI usage or deployment means lower ratings in other sectors, particularly those more reliant on AI technologies.
Keywords (occurrence): algorithm (9) show keywords in context
Summary: The bill establishes conditions for basic importation and entry bonds, detailing obligations for payment of duties, compliance with regulations, and consequences for defaults in customs processes.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
The text provided is primarily a regulatory document outlining the conditions under which bonds are required for importation and customs processes. There are no explicit mentions or implications of AI, machine learning, algorithms, or any terms that connect to the designated categories of social impact, data governance, system integrity, or robustness in the realm of AI. Therefore, it is deemed not relevant to these categories, as it does not address any AI-related issues or challenges.
Sector: None (see reasoning)
The legislation appears directed entirely at customs regulations and procedures surrounding the importation and exportation of goods. There is no mention of AI applications or policies within any sector, neither for government use nor in public services, healthcare, or any other domain. It strictly maintains focus on customs bonds and regulations. Thus, every sector is rated as not relevant.
Keywords (occurrence): automated (1)
Summary: The bill proposes to repeal the authorizations for military force against Iraq, aiming to reassess U.S. military engagement and obligations related to Iraq.
Collection: Congressional Record
Status date: March 22, 2023
Status: Issued
Source: Congress
Societal Impact
Data Governance (see reasoning)
The text makes strong references to the impact of technology, especially concerning children and privacy issues imposed by social media and algorithms. Given the discussion about data collection and algorithmic influence on youth mental health, it relates closely to the impact of AI on society. The concerns raised about how AI algorithms could be employed to manipulate information targeted at vulnerable populations also intersect with the social issues stemming from AI use, warranting a high relevance score for Social Impact. While issues of data gathering are prominent, the text does not delve deeply into regulatory frameworks regarding data management or the integrity of AI systems themselves, which affects their relevance to the Data Governance and System Integrity categories. However, it does touch upon performance benchmarks for AI indirectly through the call for more regulatory measures and oversight. The robustness category, in turn, is less relevant as it does not explicitly discuss benchmarks or performance evaluations of AI systems.
Sector:
Politics and Elections
Government Agencies and Public Services
Healthcare
Hybrid, Emerging, and Unclassified (see reasoning)
The text primarily focuses on the implications of social media platforms like TikTok, Instagram, and Facebook on youth and public well-being, making a significant intersection with issues in the Public Service sector due to the dangers they pose to teenage mental health. It discusses the need for legislative measures, which can be seen as a response to the way tech companies' algorithms shape political discourse and societal norms. The judicial system and healthcare are touched upon in terms of mental health statistics, but the main emphasis lies more with the vulnerabilities introduced by technology to the youth in the context of public safety rather than direct judicial or healthcare regulations. Thus, the strongest relevance can be attributed to Government Agencies and Public Services as this debate requires legislative action addressing the overall societal challenge posed by data handling in tech.
Keywords (occurrence): artificial intelligence (1) algorithm (1) show keywords in context
Summary: The bill establishes regulations for a computerized cognitive assessment aid, designed to evaluate cognitive function without providing clinical diagnoses, ensuring compliance with safety and performance standards.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines regulations for plasmapheresis procedures, detailing requirements for donor eligibility, laboratory testing, blood processing, and safety protocols to ensure the health of donors and integrity of plasma.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register
This text primarily outlines regulatory procedures for plasmapheresis, particularly focusing on the requirements for donor selection, testing, and processing without mentioning any AI concepts or technologies. Since the document does not address any impacts of AI on society, data governance issues related to AI, nor the integrity and robustness of AI systems, it is clear that none of the categories are relevant to the content. Therefore, all categorizations should receive a score of 1 for 'Not relevant.'
Sector: None (see reasoning)
The text concerns regulations related to the medical procedure of plasmapheresis and does not discuss the application of AI in healthcare, governance, or any other sector. There is no mention of AI's role within the healthcare system, public services, or any related fields, resulting in relevance scores of 1 across all sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill outlines the methodology for determining the national average seat belt use rate, aiming to estimate and improve seat belt compliance to enhance motor vehicle safety and reduce associated medical costs.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill enhances recordkeeping and disclosure requirements for national banks engaged in retail forex transactions, ensuring transparency in customer account profitability, fees, and compliance with regulatory obligations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill exempts various records of the U.S. Marshals Service from certain provisions of the Privacy Act to enhance law enforcement effectiveness and protect sensitive investigative information.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily discusses various exemptions related to the U.S. Marshals Service and its systems of records, focusing on law enforcement procedures and privacy protections without directly addressing AI systems or their implications. The mention of any data processing or management appears strictly in the context of law enforcement records and confidentiality, making it challenging to link it meaningfully with the categories related to AI's societal impact, governance, integrity, or robustness. Therefore, the relevance to Social Impact, Data Governance, System Integrity, and Robustness is very limited.
Sector: None (see reasoning)
The text is heavily focused on law enforcement records and the exemption of various systems related to the U.S. Marshals Service. It does not explicitly mention or imply the involvement or regulation of AI technologies within government operations or other sectors described. Thus, it is not particularly relevant to any of the sectors such as Politics and Elections, Government Agencies, the Judicial System, Healthcare, or others. The text's focus on exemptions for privacy and law enforcement underscores this lack of connection.
Keywords (occurrence): automated (2)
Summary: The bill establishes requirements for flare monitoring systems, ensuring compliance with combustion efficiency standards and proper documentation for operators, while detailing the approval processes for alternative operating parameters.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The provided text primarily focuses on the requirements and specifications for continuous monitoring systems (CPMS) related to flare operations, which doesn't explicitly address the broader implications of AI in society, data governance, system integrity, or robustness. While there are some mentions of algorithms pertaining to data collection and monitoring, they do not extend to broader AI issues such as ethical implications, biases, or performance benchmarks typically seen in AI discussions. Therefore, the relevance to Social Impact, Data Governance, System Integrity, and Robustness categories is minimal.
Sector:
Government Agencies and Public Services (see reasoning)
The text discusses the regulations related to continuous monitoring systems, which could imply a connection to environmental standards in public services but does not specifically address AI applications in politics, the judicial system, healthcare, labor, or any specific sector mentioned. The lack of explicit AI tools or applications limits the relevance to specific sectors. Therefore, the scores reflect very low relevance, mostly towards Government Agencies for regulatory compliance and public service areas.
Keywords (occurrence): algorithm (3) show keywords in context
Description: Amends the Freedom of Information Act. Changes the definition of "recurrent requester" to mean a person who, in the 12 months immediately preceding the request, has submitted to the same public body (i) a minimum of 40 (instead of 50) requests for records, (ii) a minimum of 10 (instead of 15) requests for records within a 30-day period, or (iii) a minimum of 5 (instead of 7) requests for records within a 7-day period. Requires a public body to either comply with or deny a request for public r...
Summary: The bill amends the Freedom of Information Act in Illinois, adjusting request thresholds for recurrent requesters and extending response deadlines, while exempting certain records related to automated license plate recognition systems from disclosure.
Collection: Legislation
Status date: Feb. 10, 2023
Status: Introduced
Primary sponsor: Suzanne Glowiak Hilton
(sole sponsor)
Last action: Rule 3-9(a) / Re-referred to Assignments (March 10, 2023)
Data Governance (see reasoning)
This text primarily relates to the Freedom of Information Act (FOIA) and its amendments. While it references automated license plate recognition (ALPR) systems, which involve the use of algorithms and data collection, it does not explicitly discuss the societal impacts of AI, data governance in terms of AI, system integrity, or benchmarks for robustness of AI systems. The relevance here is mostly connected with governance and public record keeping rather than a focused discussion on AI implications. As such, this text is not substantial enough to assign high relevance scores to the categories.
Sector:
Government Agencies and Public Services (see reasoning)
The text briefly discusses the operational conditions of public bodies and mentions automated license plate recognition (ALPR) systems, but it does not directly pertain to any specific sector outlined. While it includes references to data generated by these systems, it lacks a direct focus on how AI affects politics, public services, healthcare, or other designated sectors. The mention of ALPR systems suggests a connection to law enforcement, but without explicit details on regulation, it's not strong enough to warrant a high score under that sector. Thus, while some terms are relevant to government operation, the text doesn't substantially address major AI applications.
Keywords (occurrence): automated (6) show keywords in context
Summary: The bill outlines recordkeeping provisions for owners or operators of affected emissions sources, detailing requirements for data related to fuel usage, emissions, and compliance over a three-year period to ensure accurate monitoring and regulatory compliance.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill allocates funding for the Departments of Labor, Health and Human Services, and Education for FY 2024, aiming for fiscal responsibility while significantly reducing social spending and addressing various priorities, including education and public health.
Collection: Congressional Record
Status date: Nov. 14, 2023
Status: Issued
Source: Congress
The text primarily discusses appropriations for the Departments of Labor, Health and Human Services, and Education for FY 2024, without specific provisions or impacts directly related to AI technologies. While it addresses societal issues such as education, public health, and funding for various programs, the text does not highlight AI's implications or contributions to these sectors. This leads to low relevance across the defined categories, as the focus is on fiscal spending rather than on AI's societal impact, data governance, system integrity, or robustness.
Sector: None (see reasoning)
The text discusses fiscal policies and funding initiatives across various government sectors without delving into how AI intersects with these areas. Although it mentions education, healthcare, and public services, there are no specific references or considerations regarding AI’s application in these contexts. As there are no explicit mentions of AI regulations or impacts on sectors like Politics, Government, Healthcare, or Education with regard to AI, the scores reflect minimal relevance.
Keywords (occurrence): automated (2) show keywords in context
Summary: The bill outlines compliance provisions for engine manufacturers and operators regarding emissions standards, specifically addressing conditions under which adjustments for regeneration impacts on emissions can be disregarded.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register