4922 results:
Summary: The bill establishes model disclosure clauses and forms for gift certificates and prepaid cards, ensuring transparency about expiration, fees, and consumer rights, thus enhancing consumer protection in financial transactions.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill establishes regulations for the export of encryption and information security items, outlining strict denial rules for end-users in North Korea, Syria, and Sudan, particularly for military and nuclear purposes.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The National Space Policy aims to ensure the responsible and sustainable use of space, promote a competitive commercial sector, strengthen U.S. leadership in space exploration, and enhance national security in space activities.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines regulations under Regulation II concerning electronic debit transactions, emphasizing limitations on interchange fees and compliance requirements for various banking entities to ensure better consumer protection and transparency.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill establishes regulations for the timely filing of objections related to proposed Forest Service projects, outlining submission requirements and procedures to ensure transparency and public participation in the review process.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily deals with the procedural aspects of filing objections with the reviewing officer regarding projects under the jurisdiction of the Forest Service and does not explicitly mention any AI-related terminologies or concepts. As such, the relevance of all categories is quite low. However, there may be slight implications for 'Data Governance' due to the requirement for accurate and accountable documentation processes, which might indirectly relate to data management principles in AI contexts, though this connection is weak. Other categories, such as 'Social Impact', 'System Integrity', and 'Robustness', do not find any explicit or implicit ties to AI themes as no protections, security, or performance-related concerns about AI are discussed.
Sector: None (see reasoning)
The text's focus is on the procedural requirements for filing objections within the Forest Service system and does not touch on sectors that relate to AI applications such as politics, healthcare, or private enterprises. There is no commentary on AI usage in any capacity within the government agency context, nor do any aspects of the judicial system apply here. The sectors listed relate significantly to AI applications, which this text does not address. Therefore, all sectors receive minimal scores.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill clarifies definitions related to the Export Administration Regulations (EAR), specifically for training on exported technology, aiming to regulate the transfer of operational tech and software within specific licensing exceptions.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: This bill outlines initial compliance requirements for emissions limits for Electric Generating Units (EGUs), emphasizing the installation and operation of monitoring systems and performance testing to demonstrate compliance by specified deadlines.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines definitions and requirements for states submitting plans to comply with EPA regulations on emissions and energy generation, including document formats and designations for state officials.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill comprises a series of public bills introduced in Congress, addressing various issues such as insurance, cryptocurrency regulation, environmental protection, healthcare, and food security. Each bill aims to improve specific areas of public policy.
Collection: Congressional Record
Status date: July 20, 2023
Status: Issued
Source: Congress
The text provided does not explicitly mention any AI-related terms such as Artificial Intelligence, Algorithm, Machine Learning, or similar keywords. As a result, none of the categories—Social Impact, Data Governance, System Integrity, or Robustness—find relevant connections to the content of the text. Since the legislation appears to focus on various public bills and resolutions regarding other topics, including financial services and health, it does not engage with the unique societal or technical challenges posed by AI, nor does it propose any measures influenced by AI principles or systems.
Sector: None (see reasoning)
Similarly, the sectors outlined do not find relevance in the text. There are no references to the use of AI in Politics and Elections, Government Agencies, the Judicial System, Healthcare, or any other specified sector. The text consists largely of bill titles and legislative actions that do not involve AI or its applications. Each of the predefined sectors addresses specific impacts, roles, or regulations surrounding AI that are not present in the current text.
Keywords (occurrence): artificial intelligence (1) show keywords in context
Summary: The bill establishes requirements for recipients of Department of Energy financial assistance regarding documentation of control changes, patent rights, and data management, emphasizing transparency and compliance to maintain federal funding.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill updates the Commerce Control List (CCL), detailing specific items related to nuclear materials and firearms, establishing export license requirements to regulate trade of controlled military and dual-use technologies.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines requirements for states to submit federally enforceable plans to the EPA, including emission standards, monitoring protocols, and compliance timelines for designated facilities.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register
Description: To amend the State Department Basic Authorities Act to establish a Deputy Secretary of State for Economic Security, redesignate and relocate other offices of the Department of State, and for other purposes.
Summary: The Economic Security and Diplomacy Act of 2024 establishes a Deputy Secretary of State for Economic Security, redistributes roles within the State Department, and addresses U.S. economic security matters such as sanctions and trade policies.
Collection: Legislation
Status date: Nov. 5, 2024
Status: Introduced
Primary sponsor: John Moolenaar
(sole sponsor)
Last action: Referred to the House Committee on Foreign Affairs. (Nov. 5, 2024)
Societal Impact
Data Governance (see reasoning)
The text primarily concerns the establishment of a new position within the Department of State related to economic security, and it does explicitly reference 'artificial intelligence and machine learning tools' in the context of data analysis. This suggests a consideration of technology and its application in enhancing government functions. However, without broader discussions or mandates on the social implications of AI or robust data governance mentioned, the Social Impact and Data Governance categories receive lower scores. The references to technology indicate a slight relevance regarding the integrity of AI systems but do not deeply engage with the systematic concerns of integrity or robustness in AI system deployment. Accordingly, the scores are moderate for Social Impact and Data Governance, and slightly relevant for System Integrity and Robustness.
Sector:
Government Agencies and Public Services (see reasoning)
The bill is significant mainly within the Government Agencies and Public Services sector, emphasizing the restructuring of the Department of State and the establishment of new roles aimed at enhancing economic security through technology integration. There is no specific mention of how AI will impact areas like healthcare or the judicial system, nor does it address AI in the context of nonprofits, academic institutions, or political elections. Thus, the primary focus on government operations leads to a score of 4 for Government Agencies and Public Services, with other sectors receiving lower relevance due to the lack of direct mention or implications.
Keywords (occurrence): artificial intelligence (1) machine learning (1) show keywords in context
Description: An act to add Title 23 (commencing with Section 100600) to the Government Code, relating to health care coverage, and making an appropriation therefor.
Summary: Assembly Bill No. 2200 proposes the California Guaranteed Health Care for All program (CalCare), establishing a universal single-payer health care system for all residents, aiming to enhance access and reduce costs.
Collection: Legislation
Status date: Feb. 7, 2024
Status: Introduced
Primary sponsor: Ash Kalra
(22 total sponsors)
Last action: In committee: Held under submission. (May 16, 2024)
Societal Impact (see reasoning)
The text does not primarily focus on the social impact of AI on individuals or society; rather, it highlights health care policy changes. However, it does mention 'health information technology' and 'artificial intelligence' in Section 100602(g), indicating that AI could play a role in optimizing health care delivery, possibly improving patient care. This is relevant to Social Impact due to potential effects on health equity and access. Therefore, this category could be considered moderately relevant. Data Governance is less relevant as the text mainly discusses health coverage and does not focus on data-related issues in AI systems. System Integrity could apply since the enforcement of health standards may involve oversight techniques akin to those for AI integrity, but there are no explicit mentions related to the integrity and transparency of AI systems. Robustness is not discussed comprehensively as the bill does not specify benchmarks or performance metrics for AI applications.
Sector:
Government Agencies and Public Services
Healthcare (see reasoning)
The document is strongly relevant to healthcare since it discusses the establishment of a comprehensive healthcare system through the California Guaranteed Health Care for All program (CalCare). The mention of health information technology and artificial intelligence relates to how technology, including AI, could improve care delivery within the healthcare sector, making this sector the most relevant. Although there are aspects of government operations mentioned, such as the governance structure, the primary focus remains centered around healthcare coverage and access. There is no direct information about politics, judiciary matters, labor and employment, academic institutions, or international cooperation. Nonprofits and NGOs aren't explicitly referenced either, though the program could interact with them regarding healthcare services.
Keywords (occurrence): artificial intelligence (4) show keywords in context
Summary: The bill introduces several public measures, including establishing a Coastal Blue Carbon Initiative to enhance carbon sequestration, and various other legislative proposals addressing issues like tax incentives, veterans' affairs, and political advertisement regulations.
Collection: Congressional Record
Status date: Oct. 4, 2024
Status: Issued
Source: Congress
Societal Impact (see reasoning)
In the text, there is a single reference to 'artificial intelligence-generated content' in the context of a bill (H.R. 9913) which prohibits the Federal Communications Commission from promulgating or enforcing rules regarding its disclosure in political advertisements. This falls directly within the realm of Social Impact, as it touches on the implications of AI in political discourse. The minimal mention of AI does not sufficiently engage with data governance, system integrity, or robustness as the text does not address data management, security measures, performance benchmarks, or related issues, which are essential for those categories.
Sector:
Politics and Elections (see reasoning)
The mention of AI is primarily associated with its application in political advertisements, making this text highly relevant to the sector of Politics and Elections. No other sectors are directly addressed, as the other bills and resolutions do not pertain to the application of AI outside of this specific context. Thus, the score for Politics and Elections is high, while other sectors are not mentioned.
Keywords (occurrence): artificial intelligence (1) automated (1) show keywords in context
Summary: Several public bills were introduced, focusing on issues like tax code amendments for ABLE programs, voter notification requirements, drug approval processes, and improving healthcare access, among others.
Collection: Congressional Record
Status date: Sept. 17, 2024
Status: Issued
Source: Congress
Societal Impact (see reasoning)
The text outlines various bills and resolutions, among which H.R. 9639 explicitly mentions the use of artificial intelligence (generative AI) in the context of political campaign regulations. This indicates a clear social impact from AI, specifically regarding misinformation and the integrity of electoral processes. There's no other reference within these legal texts that directly relates to data governance, system integrity, or robustness for AI systems. Only the specific mention in H.R. 9639 holds relevance to these categories, thus leading us to focus our scoring primarily on social impact.
Sector:
Politics and Elections (see reasoning)
Within the outlined bills, there are references to the governance of political processes and voting, specifically through bill H.R. 9639 which addresses the prohibition of fraudulent activity in electoral procedures that potentially utilizes AI-generated content. Therefore, this falls directly under 'Politics and Elections'. The other bills listed do not make any references to AI or its implications in their respective sectors. This suggests that only the 'Politics and Elections' sector is impacted significantly while the other sectors lack any relevant mention of AI applications.
Keywords (occurrence): artificial intelligence (1) show keywords in context
Description: An Act to Enact the Maine Data Privacy and Protection Act
Summary: The Maine Data Privacy and Protection Act establishes regulations for managing, collecting, and processing personal data, requiring affirmative consent and safeguarding individuals' privacy rights in data transactions.
Collection: Legislation
Status date: April 17, 2024
Status: Other
Primary sponsor: Margaret O'Neil
(5 total sponsors)
Last action: Placed in Legislative Files (DEAD) (April 17, 2024)
Societal Impact
Data Governance
System Integrity (see reasoning)
This text predominantly addresses data privacy and protection, with a strong emphasis on how covered algorithms utilize AI techniques. It explicitly mentions 'artificial intelligence' and 'machine learning' when defining what constitutes a covered algorithm, suggesting a direct concern with how these technologies process personal data. The legislation appears to seek to control how AI can manipulate data about individuals, which ties it profoundly to issues of Social Impact, Data Governance, and System Integrity. However, there is a lesser emphasis on performance benchmarks for AI systems, indicating that Robustness might not be as relevant. Therefore, it scores highest on Social Impact and Data Governance, and moderately for System Integrity due to the focus on the protection and management of data involved in AI systems.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment (see reasoning)
The legislation has strong implications for various sectors. In terms of Government Agencies and Public Services, the act outlines provisions that could affect how public entities manage personal data, especially those using AI for decision-making. However, it doesn’t explicitly mention applications in politics, the judicial system, healthcare, or other sectors. Thus, while it may have indirect relevance to multiple sectors, such as Private Enterprises through the regulation of covered data, it’s especially impactful for Government Agencies as they are responsible for handling large amounts of personal data. The final scores reflect this broad but focused relevance without strong ties to sectors like Politics and Elections, Judicial System, or Healthcare.
Keywords (occurrence): artificial intelligence (1) machine learning (1) algorithm (19) show keywords in context
Summary: The bill regulates the labeling and packaging requirements for biological products, ensuring compliance during inspections and emphasizing accurate information for safe administration and handling of vaccines, particularly for poultry and mammals.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2024
Status: Issued
Source: Office of the Federal Register
The text primarily discusses regulations regarding the labeling and packaging of biological products. It does not explicitly address issues related to AI, such as the impacts of automated decision-making or algorithmic bias. Therefore, Social Impact and Data Governance are not relevant as they deal with societal implications of AI and data management that are not implicated in biological product packaging. System Integrity could have limited relevance concerning oversight and inspection procedures mentioned, but there is no specific mention of AI oversight. Robustness is unlikely to relate as it deals with performance benchmarking of AI systems, which the text does not mention. The absence of direct references to AI concepts or implementations results in low relevance across all categories.
Sector: None (see reasoning)
The text pertains to labeling and packaging of biological products and does not address any specific use or regulation of AI within sectors like politics, healthcare, or public services. There are no references to AI applications within government agencies or the private sector, nor does it discuss AI's role in the judicial system or the nonprofit sector. The text remains confined to regulatory details pertinent to biological products without broader implications or applications to AI, leaving relevance in all sectors at a minimum level.
Keywords (occurrence): automated (1) show keywords in context
Description: Concerns regulation of automated systems and artificial intelligence used by State agencies.
Summary: The bill establishes regulations for automated systems and AI used by New Jersey state agencies, emphasizing accountability, risk mitigation, and the creation of an oversight board to ensure ethical practices.
Collection: Legislation
Status date: Jan. 9, 2024
Status: Introduced
Primary sponsor: Troy Singleton
(sole sponsor)
Last action: Introduced in the Senate, Referred to Senate State Government, Wagering, Tourism & Historic Preservation Committee (Jan. 9, 2024)
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
The text provides extensive information regarding the regulation and use of automated systems and artificial intelligence specifically in the context of State agencies. This involves the establishment of an Artificial Intelligence Officer, guidelines for the use and implementation of AI systems, and requirements to mitigate risks and ensure ethical considerations in the deployment of these technologies. EIther of the categories is highly relevant given the focus on accountability, oversight, standards, and possible impacts of AI systems on society and individuals, making them imperative to review. Moreover, terms like automated decision support system and critical decision are directly mentioned, which relate closely to 'data governance' and 'system integrity.' Thus, all four categories are very relevant to the text.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions (see reasoning)
The text addresses the use and regulation of AI systems specifically by State agencies, indicating a clear focus on how government bodies utilize AI. This involves oversight mechanisms, public accountability, and the implications of AI deployment in government services, covering various relevant sectors such as Public Services and potentially impacting politics through governance decisions. The discussion of an advisory board composed of public members and state officials further emphasizes its government-related significance, making it relevant across multiple sectors, but with the strongest relevance to 'Government Agencies and Public Services.'
Keywords (occurrence): artificial intelligence (56) machine learning (2) automated (111) show keywords in context
Description: Requires DOH to evaluate technology uses in long-term care settings, implements certain technological requirements within long-term care settings, and clarifies existing telehealth reimbursement parity includes long-term care settings.
Summary: The bill mandates the New Jersey Department of Health to assess and enhance technology use in long-term care settings, ensuring requirements for electronic health records and telehealth reimbursement parity are met.
Collection: Legislation
Status date: June 17, 2024
Status: Introduced
Primary sponsor: Joe Danielsen
(2 total sponsors)
Last action: Introduced, Referred to Assembly Aging and Human Services Committee (June 17, 2024)
Societal Impact
Data Governance
System Integrity (see reasoning)
The bill primarily deals with the evaluation and implementation of technology within long-term care facilities, with explicit mentions of artificial intelligence and smart systems aimed at improving administration and service delivery. In relation to 'Social Impact', the mention of technology enhancing care delivery and patient independence indicates a focus on positive societal outcomes; however, there is less emphasis on the broader societal implications of AI or regulation regarding psychological harm, misinformation, or bias, thus scoring moderately relevant. 'Data Governance' is relevant due to the requirement for an electronic health record system, emphasizing secure data management and interoperability, meriting a higher score for addressing the accuracy and security of personal health information. 'System Integrity' has moderate relevance given the focus on compliance and interoperability but does not delve deeply into security measures or control beyond data sharing. 'Robustness' is less relevant as there is limited focus on benchmarks for AI performance, certification, or oversight bodies directly addressing robustness in AI systems.
Sector:
Government Agencies and Public Services
Healthcare (see reasoning)
The legislation has direct implications for 'Healthcare', particularly given its focus on long-term care settings and the integration of technology to improve health outcomes. The bill encourages the use of AI and smart systems, targeting advancements in patient management and monitoring, warranting a high score for this sector. 'Government Agencies and Public Services' is also relevant, as it discusses the oversight by the Department of Health and how these technological integrations will assist state service delivery, again meriting a moderate to high score. Other sectors like 'Politics and Elections', 'Judicial System', 'Private Enterprises, Labor, and Employment', 'Academic and Research Institutions', 'International Cooperation and Standards', 'Nonprofits and NGOs', and 'Hybrid, Emerging, and Unclassified', receive lower scores, as they do not clearly pertain to the legislation's focus on healthcare and technology in long-term care settings.
Keywords (occurrence): artificial intelligence (1) show keywords in context