4764 results:
Summary: The hearing addresses waste, fraud, and abuse in COVID relief programs, emphasizing the need for improved oversight and legislative measures to recover improper payments and protect taxpayer funds.
Collection: Congressional Hearings
Status date: March 9, 2023
Status: Issued
Source: House of Representatives
Data Governance (see reasoning)
The text primarily discusses the challenges of waste, fraud, and abuse in federal programs, particularly in the context of the COVID-19 pandemic. While it does not specifically mention AI technologies, the examination of improper payments and fraud may tangentially relate to automated systems and algorithms. Given that the use of data sharing and analytics was highlighted, there is a potential relevance to AI in the context of enhancing fraud detection and prevention mechanisms. However, due to the absence of direct references to AI or related technologies, the relevance remains limited.
Sector:
Government Agencies and Public Services (see reasoning)
The text mainly focuses on the operations of government agencies in addressing fraud related to pandemic relief programs. There are mentions of the roles of various inspectors general within federal agencies, and discussions of implementing better practices to ensure proper oversight and accountability. While the document references federal governance and oversight, its specific connection to any direct AI application within government services is underdeveloped. As such, the relevance to government agencies and public services resides primarily in the context of improving anti-fraud efforts rather than explicitly addressing AI integration within those processes.
Keywords (occurrence): artificial intelligence (2) machine learning (1) show keywords in context
Description: A bill to impose notice and consent requirements on internet platforms that use algorithms to manipulate the availability of content on the platform.
Summary: The DATA Act mandates that internet platforms using algorithms for content manipulation must obtain user consent for data collection and provide clear notifications about data use to enhance transparency and user rights.
Collection: Legislation
Status date: March 7, 2023
Status: Introduced
Primary sponsor: Rick Scott
(sole sponsor)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (March 7, 2023)
Societal Impact
Data Governance
System Integrity (see reasoning)
The text pertains to a legislative bill that targets the use of algorithms on internet platforms, focusing on notice and consent requirements for data collection. The use of the term 'algorithm' is directly tied to its implications for data governance, social impact, and system integrity through its manipulation of content availability and personal data use. However, it does not explicitly focus on AI systems nor does it touch on AI performance benchmarks, making relevance to robustness lower. Given that this bill seems primarily aimed at consumer protections, transparency, and fair practices regarding the use of personal data and algorithms, its strongest relevance is seen in data governance and social impact. System integrity is also significant due to the security and oversight it proposes for data handling.
Sector:
Government Agencies and Public Services (see reasoning)
This bill specifically addresses the implications of algorithm use on public platforms and its relationship with data privacy and fairness. While it inherently touches upon the areas of government in terms of regulation and enforcement mechanisms, its primary focus remains on the general digital landscape rather than on specific sectors like healthcare or politics, for instance. Therefore, while it does fit somewhat into the realm of government agencies, its broader applicability makes it more relevant to the digital and consumer sectors where AI and algorithms play a critical role.
Keywords (occurrence): algorithm (2) show keywords in context
Summary: The bill amends aviation laws to enhance FAA programs, and includes provisions for transportation funding and restrictions on mask mandates during public health emergencies.
Collection: Congressional Record
Status date: Sept. 29, 2023
Status: Issued
Source: Congress
The amendments do not reference or address any AI-related terms or issues. They primarily focus on funding allocations and procedural amendments related to the Federal Aviation Administration, Customs and Border Protection, immigration enforcement, and health mandates concerning mask usage in various contexts. Therefore, none of the categories for Social Impact, Data Governance, System Integrity, or Robustness has any relevance to the text. This leads to a score of 1 across all categories.
Sector: None (see reasoning)
The text does not discuss or pertain to any AI-specific sector such as 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 any hybrid, emerging, or unclassified sector. It deals with amendments regarding federal funding and regulatory measures rather than AI applications or implications. Therefore, all sectors score 1 as well.
Keywords (occurrence): automated (2)
Description: Campaign finance: other; artificial intelligence; define. Amends sec. 2 of 1976 PA 388 (MCL 169.202). TIE BAR WITH: HB 5141'23
Summary: The bill amends Michigan's campaign finance laws by defining "artificial intelligence" and regulating its use in political activities, aiming for transparency and accountability in campaign financing.
Collection: Legislation
Status date: Dec. 31, 2023
Status: Passed
Primary sponsor: Matthew Bierlein
(30 total sponsors)
Last action: Assigned Pa 264'23 (Dec. 31, 2023)
Societal Impact (see reasoning)
The text primarily focuses on defining artificial intelligence within the context of campaign finance, thus connecting it directly to issues related to regulation and accountability in political processes. It describes AI's capabilities which could affect decision-making and influence within this field, hinting at potential societal impacts, such as misinformation or bias in campaign activities. However, the text does not address data governance, system integrity, or robustness in depth, as it is mainly concerned with the legal definition and implications of AI in a specific area of legislation. Therefore, the most relevant category here is Social Impact, while the others receive lower relevance scores.
Sector:
Politics and Elections (see reasoning)
This legislation explicitly mentions AI in the context of campaign finance, thereby directly impacting Politics and Elections. Its focus on defining AI's role within political activity suggests significant implications on how political campaigns may employ or be influenced by AI, making it extremely pertinent to this sector. The other sectors do not have recognized relevance in this legislation as it does not address other areas such as healthcare, government services, or academic institutions directly.
Keywords (occurrence): artificial intelligence (1) automated (1) show keywords in context
Summary: The bill outlines the Senate's priorities as it reconvenes, emphasizing bipartisan cooperation to keep the government open, address pressing issues like AI regulation, and improve Americans' lives through various legislative efforts.
Collection: Congressional Record
Status date: Sept. 5, 2023
Status: Issued
Source: Congress
Societal Impact
Data Governance (see reasoning)
The text addresses multiple aspects of legislation and discussions regarding AI, indicating a focus on both the implications for society and the governance of data related to AI in the context of congressional action. The emphasis on constructing safe AI innovation, addressing various issues, and considering civil liberties suggests a high relevance to the Social Impact category. The mention of promoting innovation and discussing privacy and security in the context of AI points to strong relevance in Data Governance. The text doesn't delve deeply into system integrity or robustness, thus scoring lower in those areas. Overall, the discussions about AI's societal implications and the need for responsible governance indicate very high relevance to Social Impact and moderate relevance to Data Governance.
Sector:
Government Agencies and Public Services
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)
The text features discussions on AI in a governmental context, including the Senate's plans to host AI Insight Forums and engage with experts and stakeholders, indicating relevance primarily to the Government Agencies and Public Services sector. It does not specifically address AI in a legal or judicial context, nor does it focus on healthcare, political campaigns specifically, or private enterprise aspects in relation to AI, indicating lower relevance in those sectors. The conversations focus on utilizing AI for public benefit and addressing challenges, making it pertinent for Government Agencies and Public Services without extensive coverage of other sectors.
Keywords (occurrence): artificial intelligence (1)
Description: Enacts the "digital fairness act"; requires any entity that conducts business in New York and maintains the personal information of 500 or more individuals to provide meaningful notice about their use of personal information; establishes unlawful discriminatory practices relating to targeted advertising.
Summary: The "Digital Fairness Act" mandates entities in New York with personal data on 500+ individuals to provide clear notice on data usage, address consent, and prohibit discriminatory ad practices.
Collection: Legislation
Status date: Jan. 19, 2023
Status: Introduced
Primary sponsor: Brian Kavanagh
(sole sponsor)
Last action: REFERRED TO INTERNET AND TECHNOLOGY (Jan. 3, 2024)
Societal Impact
Data Governance
System Integrity (see reasoning)
The text of the Digital Fairness Act addresses various issues related to the impact of AI and data algorithms on society, such as discrimination resultant from targeted advertising and automated decision systems. It acknowledges the potential harms caused by the misuse of personal information—issues that directly correlate with societal concerns about AI's influence, discrimination, and privacy. Additionally, the text mentions the need for oversight and transparency in automated decision-making, indicating the role AI plays in potential civil rights infringements, further intensifying its relevance in the social impact framework. Given this pointed focus on discrimination and fairness in technology use, the category of Social Impact is scored very high. Regarding Data Governance, the legislation explicitly targets the management of personal data and the algorithms affecting that data, such as obtaining informed consent for processing personal information, suggesting robust oversight on data practices. Hence, this category is rated very relevant. System Integrity discusses regulations ensuring security and accountability in AI deployment; since the text's purpose is partly to ensure transparency and fair use of algorithms, it aligns well here but is somewhat less central than the previous categories, resulting in a moderate score. Robustness, concerning AI performance benchmarks, is less applicable as the document emphasizes data privacy and protection rather than benchmarks for AI systems, thus earning it a low relevance score.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment (see reasoning)
The Digital Fairness Act focuses primarily on protection for individuals in digital contexts by regulating how their personal information is handled, particularly concerning targeted advertising and potential biases that could affect individuals unfairly in a number of ways including employment and financial services. It relates to Government Agencies and Public Services, as it pertains to how public entities might utilize personal information and automated decision systems that could impact civil rights, earning a moderate score. The legislative intent does not directly address the Judicial System, Healthcare, or Academic and Research Institutions, thus those sectors receive low scores. The implications for Private Enterprises, Labor, and Employment are significant given the focus on accountability of businesses regarding consumer data practices, earning this sector a moderate score as well. International Cooperation and Standards receive a slight score considering the broad implications of data regulation but are not a central theme in this text. Nonprofits and NGOs are similarly affected as organizations that might collect personal data, hence a slightly relevant score, while the hybrid category could apply but is also low due to lack of specificity. Overall, the primary relevance centers around individual data protection in business practices with tolerable ties to government regulations.
Keywords (occurrence): automated (97) algorithm (1) show keywords in context
Summary: The bill sets standards for laboratory testing procedures across various disciplines, ensuring accurate diagnostic results through routine controls and documentation, enhancing quality control in laboratory practices.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily outlines standards and procedures related to laboratory controls and testing methods in various biological and chemical contexts. While it pertains to rigorous testing and control processes, it lacks explicit references to AI-related concepts. Thus, it's challenging to tie these standards to the categories associated with AI. This results in very low relevance for all categories. Specifically, it does not address societal impacts, data governance, system integrity, or robustness in a way that relates to AI developments or practices, as it focuses on laboratory standards rather than AI systems or applications.
Sector: None (see reasoning)
The text describes standard procedures in laboratory settings without any implications or direct connections to the aforementioned sectors. While it mentions procedures important for health diagnostics, there is no indication that these are related to AI applications within healthcare or any other specified sector. Hence, the scores remain very low across all sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill outlines the congressional agenda for the week of November 7-10, 2023, detailing Senate and House committee meetings, nominations, and legislative activities planned during that timeframe.
Collection: Congressional Record
Status date: Nov. 6, 2023
Status: Issued
Source: Congress
Societal Impact
System Integrity (see reasoning)
The text includes portions that explicitly reference AI in a healthcare context, particularly in relation to a Senate committee hearing examining the policy considerations for AI in health care. Additionally, it discusses the philosophy of AI in a hearing setting, indicating a broader exploration of AI implications. There are also mentions of the advances in deepfake technology relevant to system integrity concerns, but the text does not delve into AI governance, fairness, or bias issues. Therefore, the relevance to each category will vary, reflecting how directly the content discusses AI and its effects on society, governance, and systems.
Sector:
Government Agencies and Public Services
Healthcare
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)
The text makes several references to the use of AI in different contexts. Specifically, it highlights AI's role in healthcare legislation, as well as discussions on deepfake technology within the context of cybersecurity and privacy. However, while these references are relevant, they may not fully encompass the breadth of implications for each sector. The healthcare sector receives a slightly higher score due to the explicit mention of AI policies related to healthcare, while political, legislative, and rights implications are touched upon, resulting in moderate relevance across sectors without strong emphasis on specific applications in others.
Keywords (occurrence): deepfake (1)
Summary: This bill concerns the nominations of Harry Coker, Jr. as National Cyber Director, Jeff Rezmovic as Chief Financial Officer of DHS, and Suzanne E. Summerlin as General Counsel for the FLRA, highlighting their roles in enhancing national security, financial oversight, and labor relations.
Collection: Congressional Hearings
Status date: Nov. 2, 2023
Status: Issued
Source: Senate
The document primarily discusses the nominations of three individuals for high-level positions within the U.S. government without focusing on AI specifically. There are references to cybersecurity, which could intersect with AI-related topics, but no direct mention of AI technologies, ethical frameworks, or societal impacts attributable to AI systems. Therefore, it does not strongly align with the 'Social Impact', 'Data Governance', 'System Integrity', or 'Robustness' categories that focus explicitly on AI applications and implications.
Sector: None (see reasoning)
While this document pertains to government positions and operations that may involve regulations or oversight that could implicate AI, it does not explicitly address the sectors defined. It discusses the nominations in a general context with a focus on individual candidates' qualifications and roles related to national security and finance, rather than their specific interactions with AI. Consequently, the legislative or oversight aspects that could relate to sectors like 'Government Agencies and Public Services' or 'International Cooperation and Standards' are not represented in a manner that meets the relevance criteria.
Keywords (occurrence): artificial intelligence (7) show keywords in context
Summary: Senate Amendment 1092 appropriates funds for military construction and related services for fiscal year 2024, ensuring resources for the Department of Defense and Veterans Affairs.
Collection: Congressional Record
Status date: Sept. 7, 2023
Status: Issued
Source: Congress
The text primarily discusses appropriations for military construction and various defense-related activities. It does not explicitly mention AI technologies or their implications. Consequently, none of the four categories—Social Impact, Data Governance, System Integrity, or Robustness—directly apply, as there is no discussion regarding the societal or ethical implications of AI, data management specific to AI systems, integrity measures for AI, or performance benchmarks for AI technologies. Therefore, the categories are considered not relevant at all.
Sector: None (see reasoning)
The text does not pertain to the application of AI in sectors such as politics, government services, healthcare, or business. It strictly relates to the appropriations for military purposes, with no mention of AI's role or any regulatory framework surrounding AI applications. Therefore, all sectors—Politics and Elections, Government Agencies and Public Services, Judicial System, Healthcare, Private Enterprises, Labor and Employment, Academic Institutions, International Cooperation, Nonprofits, and the Hybrid Sector—are deemed not relevant to this text.
Keywords (occurrence): automated (3)
Summary: The "Orbital Sustainability Act of 2023" aims to establish programs for active remediation of orbital debris and develop uniform standards to enhance safety and sustainability in space operations.
Collection: Congressional Record
Status date: Oct. 31, 2023
Status: Issued
Source: Congress
The text is primarily concerned with orbital debris management and does not directly address AI concepts or technologies. However, there are references to 'automated identification capability' and mentions of requiring collaboration with various entities in research, which implies a potential connection to technology development. This relationship is tenuous, and the overall focus remains on sustainable practices in space rather than on AI itself. Therefore, relevance to the categories is limited.
Sector:
Government Agencies and Public Services
International Cooperation and Standards (see reasoning)
While the text discusses aerospace and space operations, it does not explicitly touch upon the sectors defined. The mention of 'commercial space industry' and 'public services' in relation to debris remediation indicates a minimal connection. Overall, the text is more focused on regulatory aspects of space activity rather than a direct impact on the specified sectors.
Keywords (occurrence): automated (1) show keywords in context
Description: Amends the Freedom of Information Act. Provides that, for purposes of the Act, "public body" includes the judicial branch and components of the judicial branch of the State. Exempts records that pertain to the preparation of judicial opinions and orders. Excludes denials of requests of records from the judicial branch or components of the judicial branch from the jurisdiction of the Public Access Counselor.
Summary: The bill amends the Freedom of Information Act in Illinois to include the judicial branch as a public body, allows for certain judicial records to be exempt, and limits jurisdiction over record request denials.
Collection: Legislation
Status date: Dec. 20, 2023
Status: Introduced
Primary sponsor: Curtis Tarver
(sole sponsor)
Last action: Rule 19(a) / Re-referred to Rules Committee (April 5, 2024)
This text primarily amends existing legislation, the Freedom of Information Act, with a focus on the inclusion of the judicial branch and its components as 'public bodies.' It does not contain specific references to AI or its applications. Although the legislation affects the transparency and access to information in government processes, it does not address AI's social impact, data governance, system integrity, or robustness specifically, as there are no mentions of these topics or relevant AI terms. Thus, the relevance of each category is determined to be low.
Sector: None (see reasoning)
The legislation does not directly address the use or regulation of AI across any sectors mentioned. It focuses solely on amendments related to transparency and records within the judicial branch and does not touch on sectors such as healthcare, politics, or business, where AI applications might be relevant. There are no explicit mentions of AI technologies or their implications in the listed sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill addresses concerns regarding TikTok's role in promoting anti-Israel propaganda and censorship, suggesting it is a tool for the Chinese Communist Party to manipulate public opinion and threatening U.S. national security. It advocates for banning TikTok in the United States.
Collection: Congressional Record
Status date: Nov. 27, 2023
Status: Issued
Source: Congress
Societal Impact (see reasoning)
The text discusses the impact of TikTok and its algorithms on political propaganda and societal division, as well as issues such as censorship and surveillance which relate to the social impact of AI. It highlights how TikTok, through its algorithm, shapes public discourse, thus directly connecting it to societal repercussions. While there are elements that touch upon data tracking, the main focus is on the ramifications of AI systems on society. Therefore, Social Impact is the most relevant, as the legislation reflects on how such technologies can manipulate sentiment and information in society. Data Governance is slightly relevant due to the mention of tracking mechanisms; however, the emphasis is more on the sociopolitical effects rather than direct management of data per se. System Integrity and Robustness do not receive significant attention in regards to security protocols or system performance evaluations in the text, making them less relevant.
Sector:
Politics and Elections
Government Agencies and Public Services (see reasoning)
The text primarily revolves around the political implications of AI technology used by TikTok and its effects on sentiment regarding Israel and Hamas in the context of international relations and domestic discourse. It highlights potential governmental actions to address these AI-driven issues, thus correlating most closely with Politics and Elections. The reference to the government's investigation of TikTok's practices also aligns with Government Agencies and Public Services due to the exploration of federal oversight and actions. There’s a minor mention of the impact on public sentiments and social behavior attributed to these algorithms. However, sectors such as the Judicial System, Healthcare, Private Enterprises, Academic Institutions, International Cooperation, Nonprofits, and Hybrid do not find enough direct relevance in this context.
Keywords (occurrence): algorithm (1) show keywords in context
Description: A bill to improve forecasting and understanding of tornadoes and other hazardous weather, and for other purposes.
Summary: The TORNADO Act aims to enhance tornado and hazardous weather forecasting and communication through improved data management, research, and risk communication strategies, promoting public safety and preparedness.
Collection: Legislation
Status date: April 25, 2023
Status: Introduced
Primary sponsor: Roger Wicker
(11 total sponsors)
Last action: By Senator Cantwell from Committee on Commerce, Science, and Transportation filed written report. Report No. 118-138. (Dec. 13, 2023)
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
The text discusses the role of artificial intelligence (AI) and machine learning in improving the communication of hazardous weather risks. It mentions using AI and machine learning technologies to validate research and data analysis methods. This indicates a significant intersection with AI, particularly with respect to enhancing forecasting and response capacities in understanding and communicating dangers related to tornadoes and hazardous weather events. Other categories such as System Integrity and Robustness may also be indirectly relevant, but the primary focus here is on the application of AI in risk communication and management, which falls within the scope of Social Impact as it addresses implications for public safety and information dissemination.
Sector:
Government Agencies and Public Services
Academic and Research Institutions (see reasoning)
The legislation primarily focuses on improving methods for hazard communication, which is directly applicable to Government Agencies and Public Services, particularly those involved in weather forecasting and public safety. Additionally, the mention of conducting research in collaboration with institutions of higher education highlights relevance to Academic and Research Institutions, as training and research in AI and its applications are essential for the effective execution of this act. There is a limited mention of private enterprise aspects; however, they could indirectly intersect with the implementation of AI technologies in public services.
Keywords (occurrence): machine learning (2) show keywords in context
Summary: The bill addresses the funding challenges of the Highway Trust Fund (HTF) and examines potential long-term solutions for sustainable financing of transportation infrastructure in the U.S.
Collection: Congressional Hearings
Status date: Oct. 18, 2023
Status: Issued
Source: House of Representatives
The text primarily discusses the Highway Trust Fund and its implications for transportation infrastructure funding. AI does not appear to be discussed within the context of this document, making it less relevant for the defined categories. Social Impact might be touched upon as it relates to public infrastructure use and societal implications of transit funding, but without direct references to AI or its societal influences, its relevance is limited. The other categories (Data Governance, System Integrity, and Robustness) do not align with the content of the text, as they focus on specific concerns directly related to AI integration, security, and performance benchmarks rather than transportation funding.
Sector: None (see reasoning)
The text is highly focused on transportation infrastructure and the funding mechanisms surrounding it. There are no references to the use of AI in politics, government agency functions, healthcare, or any other specified sectors. Although the topic of transportation could relate to government operations in a broad sense, the lack of specific discussions regarding AI's role in government or services results in minimal relevance to the given sectors.
Keywords (occurrence): artificial intelligence (1) show keywords in context
Summary: The bill establishes regulations for maritime communication priorities, prohibiting unauthorized transmissions, ensuring proper distress messaging, and maintaining operational standards for stations, including hours of service.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
This text primarily focuses on the regulations of communication systems, particularly in maritime contexts, and does not explicitly address any topics related to AI. The discussion surrounding automation in communication systems, while relevant to AI, does not establish a clear link to the broader implications of AI on society, data governance, system integrity, or robustness. Terms such as 'fully automated system' appear, but they do not delve into concerns typically associated with AI like bias, transparency, or data management. Thus, the text’s relevance to the defined categories is minimal.
Sector: None (see reasoning)
The text pertains largely to telecommunications and maritime safety protocols. While it mentions automated systems, which could implicitly relate to AI, it does not delve into applications or regulations specific to any sector like healthcare, public services, employment, or others defined in the categories. The focus remains strictly on communication protocols and regulations rather than the application of AI in any specific sector. Therefore, the relevance is low across the sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill appropriates funding for military construction, veterans affairs, and related agencies for FY 2024, aiming to ensure military preparedness and support for veterans while navigating bipartisan legislative challenges.
Collection: Congressional Record
Status date: Nov. 1, 2023
Status: Issued
Source: Congress
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
During the legislative session, there are passages specifically mentioning artificial intelligence (AI) and its implications for the workforce, financial and healthcare sectors, and potential biases, which address societal impacts, data governance, system integrity, and robustness of AI systems and their legislation. The text discusses bipartisan AI Insight Forums focused on the effects of AI on jobs and civil rights. This demonstrates the broader societal considerations AI presents, as well as calls for regulatory measures which are vital for safeguarding the integrity and performance of AI systems. Therefore, the following categories are assigned scores based on the text focus on the societal implications of AI, data governance issues presented by AI technologies, and the call for system integrity to ensure transparency and protection against biases in AI. Such topics fit naturally into the defined categories due to their overarching relevance in discussions about AI.
Sector:
Government Agencies and Public Services
Judicial system
Healthcare
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)
The text includes a discussion on AI forums where potential biases in various high-impact sectors such as finance, healthcare, and law enforcement are addressed, indicating a concern regarding the application of AI in these areas. The implications for employment also signal a significant intersection with labor markets among private enterprises. Given that AI systems influence multiple sectors including the judicial system and overall government functions, I have assigned scores reflecting their relevance in terms of both the ongoing deliberations at the Senate regarding regulation and the potential impacts of AI on these sectors. However, direct discussions regarding specific policy impacts on governmental applications of AI and nonprofit usage were not substantial in this text, leading to more moderate scores for those sectors.
Keywords (occurrence): artificial intelligence (2) show keywords in context
Summary: The bill pertains to various amendments being discussed in the House, specifically detailing the process of voting on these amendments, including recorded votes.
Collection: Congressional Record
Status date: July 13, 2023
Status: Issued
Source: Congress
The text provided does not pertain to AI-related content. It primarily consists of procedural announcements about the voting on various amendments in the Congressional Record. There are no mentions of terms specifically related to Artificial Intelligence, such as AI, algorithms, machine learning, or any of the other specified keywords. Consequently, there is no relevance to Social Impact, Data Governance, System Integrity, or Robustness regarding AI legislation.
Sector: None (see reasoning)
Similarly, the text lacks any mention or discussion related to politics, government operations, healthcare, or any other specific sectors that involve the application of AI. It strictly includes procedural elements of legislative votes, without any reference to how AI might be applied or regulated within these contexts. As such, all sectors are rated as non-relevant.
Keywords (occurrence): artificial intelligence (2) show keywords in context
Summary: The bill provides guidance on ADA regulations ensuring public accommodations and commercial facilities do not discriminate against individuals with disabilities, mandating compliance with accessibility standards.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines requirements for a state's proposal to receive delegation of oil and gas royalty management functions from ONRR, ensuring states can effectively manage federal leases while adhering to regulatory standards.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The text involves the delegation of royalty management functions related to oil and gas leases, specifying the responsibilities that a State must assume. While there are mentions of automated verification and automated systems, these pertain primarily to administrative efficiency rather than the broader impacts of AI systems on society, data governance, integrity, or robustness. Therefore, the relevance of the categories is limited. The text does not delve into how AI impacts individuals or society (Social Impact), does not discuss the governance of data used by AI systems (Data Governance), lacks content on system security and transparency (System Integrity), and does not present legislative benchmarks for AI performance or compliance (Robustness). This leads to low relevance scores across all categories.
Sector: None (see reasoning)
The text predominantly relates to oil and gas lease management by States rather than focusing on sector-specific uses of AI. While there is mention of automated verification, it does not relate to any sector, such as politics, healthcare, or judicial processes, specifically enough to warrant significant relevance. Overall, it fails to address any legislative issues in the outlined sectors of interest sufficiently, leading to low scores in all sectors as the focus remains purely on administrative processes and delegation proposals unrelated to AI impacts.
Keywords (occurrence): automated (3) show keywords in context