4846 results:


Summary: The bill introduces various public measures, including support for hydroelectric upgrades, bans on expanded polystyrene, and mental health services for incarcerated individuals, aimed at advancing clean energy and public health.
Collection: Congressional Record
Status date: Dec. 7, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text provided does not contain any explicit references to AI-related terms or concepts such as Artificial Intelligence, Algorithm, Machine Learning, or any other related terminology. It primarily lists various public bills and resolutions without addressing the social impact of AI, data governance, system integrity, or robustness in relation to AI technologies. Therefore, it is deemed not relevant to the defined categories of Social Impact, Data Governance, System Integrity, and Robustness.


Sector: None (see reasoning)

Similarly, the text does not reference any specific sectors that involve the use or regulation of AI. There are no mentions of how these bills might impact areas such as Politics and Elections, Government Agencies, Healthcare, or any of the other nine predefined sectors. Hence, it is assessed as not relevant to any of the sectors listed.


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

Summary: The bill outlines regulations for the electronic entry of imported merchandise under U.S. Customs and Border Protection. It enhances efficiency by allowing electronic filings and sets documentation requirements for timely customs processing.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text primarily focuses on regulations related to customs and entry of imported merchandise. It mentions systems used for electronic processing and provides detailed procedural guidelines for filing entries, including the Automated Broker Interface (ABI) and the Automated Commercial Environment (ACE). However, it does not explicitly address or engage with AI technologies or their implications. The relevant themes and areas of social impact, data governance, system integrity, or robustness in relation to AI are not represented in this text. Therefore, it is assessed as having low relevance to the predefined categories.


Sector: None (see reasoning)

The content of the text involves the processing of customs entries and does not pertain directly to the legislative frameworks or regulations in sectors such as politics, healthcare, or labor. While it does reference automated systems (ABI and ACE), which could hint at applications of AI, it does not provide substantial information on how these systems impact the sectors mentioned. Therefore, the relevance to the defined sectors is minimal. The text describes customs procedures rather than any applications or implications for various sectors.


Keywords (occurrence): automated (6)

Summary: The National Defense Authorization Act for Fiscal Year 2024 authorizes funding for military activities and construction, along with provisions addressing race and ethnicity quotas in military academy admissions.
Collection: Congressional Record
Status date: July 14, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily focuses on amendments and discussions surrounding admissions policies at military service academies and the use of government funding. It does not explicitly address topics related to artificial intelligence, machine learning, or automation that fall under the defined categories of Social Impact, Data Governance, System Integrity, or Robustness. There are no mentions of AI technologies or their implications, hence all categories score low relevance.


Sector: None (see reasoning)

The text discusses legislation regarding military admissions but does not mention the use of AI in political campaigns, government services, judiciary processes, healthcare, employment, education, international cooperation, or organizations. Consequently, the relevance across the sectors is minimal, as even broader applications of AI are not referenced.


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

Description: Creates the Children's Privacy Protection and Parental Empowerment Act. Provides that a business that provides an online service, product, or feature likely to be accessed by children shall take specified actions, including completing a Data Protection Impact Assessment for any online service, product, or feature likely to be accessed by children. Provides that a business shall complete a Data Protection Impact Assessment on or before July 1, 2024, for any online service, product, or feature ...
Summary: The Children's Privacy Protection and Parental Empowerment Act mandates online businesses to assess data protection risks for services accessed by children, imposing penalties for violations and promoting child-focused data practices.
Collection: Legislation
Status date: Feb. 17, 2023
Status: Introduced
Primary sponsor: Anna Moeller (sole sponsor)
Last action: Rule 19(a) / Re-referred to Rules Committee (March 10, 2023)

Category:
Societal Impact
Data Governance (see reasoning)

This legislation focuses on children's privacy, which pertains to how AI systems, including algorithms, profile and interact with younger users. The emphasis on Data Protection Impact Assessments suggests a need to consider the implications of AI-driven processes that collect and process data from children. Consequently, it affects both Social Impact, due to potential risks of harm and misinformation, and Data Governance since it addresses data collection, profiling, and usage practices specific to children, ensuring protections against AI exploitation. System Integrity and Robustness are less directly relevant, as the emphasis is more on data governance and social implications than on operational standards or auditing benchmarks for AI systems.


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

The act specifically targets the interaction of AI in online services likely to be accessed by children, making it highly relevant to sectors such as Government Agencies and Public Services which would be responsible for implementing these provisions, as well as Private Enterprises, Labor, and Employment, focused on businesses providing online services. Academic and Research Institutions might also have an interest in understanding the implications of AI on data privacy in educational contexts. Politics and Elections, Judicial System, Healthcare, and Nonprofits and NGOs have little direct relevance based on the contents of the text.


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

Description: For legislation to establish a Massachusetts state deepfake and digital provenance task force (including members of the General Court) to protect against deep fakes used to facilitate criminal or torturous conduct. Advanced Information Technology, the Internet and Cybersecurity.
Summary: The bill establishes a Massachusetts task force to address the use of deepfakes in criminal activities, assess related risks, and develop strategies for digital content provenance and prevention.
Collection: Legislation
Status date: Feb. 16, 2023
Status: Introduced
Primary sponsor: Jay Livingstone (sole sponsor)
Last action: Accompanied a new draft, see H4406 (Feb. 22, 2024)

Category:
Societal Impact (see reasoning)

The text primarily relates to the social impacts of AI technologies, particularly concerning the role of deepfakes in facilitating criminal activities and the potential harm they may cause to individuals and the society at large. It addresses the proliferation of deepfakes and digital content forgery, privacy risks, and the implications on civic engagement, specifically regarding voters. This directly connects to consumer protections and regulations aimed at mitigating misinformation and protecting individuals from harm caused by AI manipulation of media. Therefore, it is rated as very relevant in the Social Impact category. In terms of Data Governance, while the text outlines efforts related to digital content provenance and mentions the need to investigate standards for this provenance, it does not explicitly detail data management practices, biases, or compliance mandates commonly associated with data governance. This leads to a conclusion that this category is slightly relevant at best. Regarding System Integrity, the bill involves the establishment of a task force to investigate digital content forgery technologies; however, there is little focus on security measures, human oversight, or transparency in AI systems as outlined in the legislation. Consequently, it rates slightly relevant. Lastly, the Robustness category is concerned with performance benchmarks and auditing of AI systems. This legislation doesn’t touch upon compliance with international standards or benchmarks for AI performance, leading to it being rated as not relevant.


Sector:
Politics and Elections
Government Agencies and Public Services (see reasoning)

This legislation directly impacts algorithms related to deepfakes and AI-driven media manipulation and thus is highly relevant to the sector of Politics and Elections, given the implications for voters and misinformation in electoral contexts. The potential for deepfakes to influence public perception during political campaigns is significant. Therefore, this sector receives a very relevant score. In the Government Agencies and Public Services sector, the legislation aims to establish a task force within the Massachusetts government, which speaks to the intersection of AI regulation and public sector applications. This connection allows this sector to also be rated as very relevant. However, the text does not specifically address the Judicial System, Healthcare, or any direct implications for Private Enterprises, Labor, and Employment, Academic and Research Institutions, or Nonprofits and NGOs in a way that would warrant a relevance score. International Cooperation and Standards is not relevant here as the context is strictly localized to Massachusetts. Lastly, while the legislation touches on technology, it does not fit neatly into Hybrid, Emerging, and Unclassified, and therefore is rated as not relevant.


Keywords (occurrence): machine learning (1) deepfake (7) show keywords in context

Description: To authorize the Secretary of Education to carry out a program to increase access to prekindergarten through grade 12 computer science education.
Summary: The Computer Science for All Act of 2023 aims to enhance access to computer science education from prekindergarten to grade 12, addressing workforce needs and educational disparities in technology.
Collection: Legislation
Status date: June 15, 2023
Status: Introduced
Primary sponsor: Barbara Lee (29 total sponsors)
Last action: Referred to the House Committee on Education and the Workforce. (June 15, 2023)

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

The text primarily focuses on increasing access to computer science education, which inherently includes aspects of AI, algorithms, and automation as part of the broader computer science curriculum. The mention of 'artificial intelligence' in the context of its educational impact underscores the bill's relevance to the Social Impact category, emphasizing how AI influences current and future workforce demands and educational equity, particularly for underrepresented groups. Furthermore, the broader implications of teaching computer science relate to Data Governance (ethical data use in AI education) and System Integrity (transparency in educational standards and practices). However, the text does not strongly emphasize robustness or specific benchmarks for AI performance. Hence, scores reflect that Social Impact resonates the most significantly, while Data Governance and System Integrity also hold relevance but to a lesser degree. Robustness is deemed not relevant as there are no references to performance standards or audits for AI systems.


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

The text addresses the integration of computer science education within K-12 systems. This can be linked to several sectors. The Government Agencies and Public Services sector is relevant as the bill is aimed at government educational efforts. However, it also ties into Academic and Research Institutions, because of the educational focus and implications for teaching methodologies and curriculum development. While there is mention of technology's role in economic growth (notably in Private Enterprises, Labor, and Employment), this text does not primarily focus on employment or business regulations. Therefore, scores for relevant sectors focus on those institutions chiefly involved in education and public service, while the politics sector receives a low score due to the broader discussion of potential jobs without specific political regulation in play.


Keywords (occurrence): artificial intelligence (1) algorithm (3) show keywords in context

Summary: The "Military Construction, Veterans Affairs and Related Agencies Appropriations Act, 2024" allocates funding for military construction and veterans' services for the fiscal year 2024, emphasizing bipartisan cooperation in the Senate to advance critical appropriations.
Collection: Congressional Record
Status date: Oct. 25, 2023
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text from the Congressional Record mentions the significance of AI and the need for government involvement and investment in AI innovation. This inclusion is central to assessing the social impact of AI, particularly concerning potential harms and the need for guardrails to mitigate them, making it very relevant. Data governance is touched upon with respect to funding and innovation in AI but lacks specific legislative measures outlined in the text. System integrity is less relevant since the text does not detail transparency or security requirements for AI systems. Robustness is not addressed at all since there is no mention of performance benchmarks for AI systems or oversight bodies. Thus, only Social Impact scores highly, while the others score low due to insufficient explicit connection to the themes described in the respective categories.


Sector:
Government Agencies and Public Services
Academic and Research Institutions (see reasoning)

The text’s consideration of AI within a broader legislative context suggests relevance to multiple sectors. The mentions of government involvement place it under Government Agencies and Public Services, as it discusses federal funding and resource requirements for AI innovation and development. However, there is no explicit reference to other sectors such as Politics and Elections or Healthcare, which limits the scores. The text does not touch upon the judicial system, private enterprises, or international cooperation, which results in very low scores for those sectors. The focus on the government and bipartisan discussion implies a moderate relevance to Academic and Research Institutions due to the mention of universities benefiting from federal investments. Overall, Government Agencies and Public Services receives a moderate score due to its substantive consideration of federal involvement in AI, while the other sectors receive low scores.


Keywords (occurrence): artificial intelligence (1)

Summary: The bill addresses the national security implications of artificial intelligence through an open Senate hearing, examining AI's benefits and risks, particularly in terms of military and intelligence capabilities.
Collection: Congressional Hearings
Status date: Sept. 19, 2023
Status: Issued
Source: Senate

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

The text explicitly discusses national security implications associated with advancements in artificial intelligence (AI), highlighting factors such as risks from foreign adversaries, the use of generative models in cybersecurity, and AI's role in misinformation. It addresses how AI technologies may disrupt societal norms and how public institutions should adapt to these advancements, making it very relevant to the Social Impact category. There are discussions regarding bureaucratic reform and data architecture, which relate to Data Governance and System Integrity, but the primary focus appears on the social implications of the technology. The details regarding the use of performance benchmarks, regulatory compliance, and the creation of oversight are less emphasized, leading to less relevance to Robustness. Consequently, while all categories touch upon AI's governance and implications, Social Impact emerges as the most pertinent.


Sector:
Politics and Elections
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards (see reasoning)

The text engages with several sectors, particularly the discussions on national security and the use of AI by government agencies. It also touches on how AI can assist or hinder the decision-making processes in crisis situations, hinting at its implications in politics and government operations. The context of AI's impact on cybersecurity and data manipulation may also relate to the Private Enterprises sector. However, the text has limited explicit mention of judicial applications or healthcare relevance. The most pronounced sectors relate to Government Agencies and Public Services due to the discussion centered on the U.S. Intelligence Community's use of AI, making it the highest rated. Politics and Elections are relevant but less emphasized than governmental themes. Other sectors receive lower relevance due to lesser or no explicit engagement.


Keywords (occurrence): artificial intelligence (5) machine learning (5) deep learning (2) large language model (4) algorithm (4) show keywords in context

Summary: The bill outlines various committee meetings scheduled for September 14, 2023, in the Senate and House, addressing topics like nominations, tax relief, education, health, and federal policies.
Collection: Congressional Record
Status date: Sept. 13, 2023
Status: Issued
Source: Congress

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

The text mentions committee meetings primarily in relation to governance and oversight of AI, particularly through acquisition and procurement, as well as how federal agencies are harnessing AI. This suggests a focus on social impact (such as ethical implications and governance of AI in public sectors) and system integrity (considering security and transparency in AI processes) given the inclusion of discussions around these topics in committee meetings. Data governance is also relevant due to the implication of managing and governing AI systems. However, robustness appears less relevant here as performance benchmarks and compliance auditing are not explicitly mentioned. Therefore, social impact, data governance, and system integrity are rated higher in relevance than robustness.


Sector:
Government Agencies and Public Services (see reasoning)

The text discusses various congressional committee meetings involving discussions around AI issues, which pertains strongly to the Government Agencies and Public Services sector. The hearing on how federal agencies are harnessing AI indicates a direct application within public service governance. However, there are no explicit discussions on judicial applications, education, healthcare, or sectors explicitly indicating the influence of AI on politics and elections, labor markets, research, or NGOs. Thus, Government Agencies and Public Services receives a high score while others receive low scores.


Keywords (occurrence): artificial intelligence (1)

Summary: The bill amendments introduce measures to protect U.S. national critical capabilities by requiring notifications for specific foreign investments and activities, enhancing oversight, and ensuring coordination among federal agencies.
Collection: Congressional Record
Status date: July 13, 2023
Status: Issued
Source: Congress

Category:
System Integrity
Data Robustness (see reasoning)

The text includes references to legislation that addresses the utilization and regulation of Artificial Intelligence specifically in the context of protecting national critical capabilities. The section explicitly identifies Artificial Intelligence as one of the sectors that require protection under national defense regulations. Given this connection, the categories can be evaluated as follows: - Social Impact: The text does not primarily address societal impacts of AI such as bias or misinformation, but rather focuses on national security implications. Hence, it scores low. - Data Governance: While data management issues are important in AI applications, the text does not address this aspect directly. Therefore, the relevance is low. - System Integrity: The text touches on elements of regulation and oversight of activities termed 'covered activities,' which engage with the integrity of operations involving AI technologies. This suggests a stronger relevance compared to other categories. - Robustness: The reference to regulations and the establishment of frameworks for overseeing AI activities show a consideration for performance metrics and compliance, thus a moderate to high relevance. Overall, the direct mention of Artificial Intelligence in the legal context presents a clear relevance to the System Integrity and Robustness categories, while Social Impact and Data Governance are less applicable.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
International Cooperation and Standards
Hybrid, Emerging, and Unclassified (see reasoning)

The text includes provisions that concern national critical capabilities and outlines regulations that could affect various sectors, particularly security and technological sectors. The specific mention of AI in this legislative context implies a significant focus on its regulation within a national security framework. The sector categorizations can be evaluated as follows: - Politics and Elections: The text does not pertain to AI use in political contexts. - Government Agencies and Public Services: While it mentions engagement with federal agencies for coordination, it does not directly address AI use in governmental operations, but it suggests implications for governmental interests in critical technology sectors. - Judicial System: No direct relationship with judicial processes is established in the text. - Healthcare: There are no healthcare implications mentioned in relation to AI. - Private Enterprises, Labor, and Employment: The relevance here is limited, though there are potential implications for businesses engaged in critical capabilities. - Academic and Research Institutions: No specific references to academic research on AI. - International Cooperation and Standards: This is somewhat relevant as the text discusses the need for coordination with international entities regarding AI and technology-related activities. - Nonprofits and NGOs: There are no references to nonprofit organizations. - Hybrid, Emerging, and Unclassified: This category might be considered as the text discusses coverage of various critical capabilities including AI, thus it lands as relevant. Overall, the most applicable sectors are Government Agencies and Private Enterprises, while Politics, Healthcare, and Judicial sectors are virtually unrelated.


Keywords (occurrence): artificial intelligence (1)

Description: To provide for coordinated Federal efforts to accelerate civilian unmanned aircraft systems and advanced air mobility research and development for economic and national security, and for other purposes.
Summary: The National Drone and Advanced Air Mobility Research and Development Act aims to enhance U.S. capabilities in unmanned aircraft systems, advancing research, development, and interagency coordination for economic and national security benefits.
Collection: Legislation
Status date: May 22, 2023
Status: Introduced
Primary sponsor: Frank Lucas (sole sponsor)
Last action: Placed on the Union Calendar, Calendar No. 527. (Aug. 13, 2024)

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

The text outlines the National Drone and Advanced Air Mobility Research and Development Act, primarily focusing on the coordination and advancement of unmanned aircraft systems and air mobility technologies, which implies the integration of AI technologies for optimization in these systems. However, explicit discussion of social impacts, data governance issues, system integrity measures, or robustness benchmarks is limited. The emphasis lies more on research and development rather than specific legislative measures that address the societal implications or the technical robustness of these technologies.


Sector:
Government Agencies and Public Services
Academic and Research Institutions
International Cooperation and Standards (see reasoning)

The bill significantly addresses advanced air mobility and unmanned aircraft systems, elements that can bridge into various sectors. Its implications for governmental practices, public services, security, and academic involvement in research are potent. However, it doesn't directly engage with sectors like healthcare, political campaigns, or nonprofits. The integration of these technologies may transform transportation systems and government operations, meriting relevance to those sectors.


Keywords (occurrence): artificial intelligence (7) machine learning (2) algorithm (1) show keywords in context

Description: To strengthen the partnership between the nonprofit organizations and the Federal Government, and for other purposes.
Summary: The Nonprofit Stakeholders Engaging and Advancing Together Act of 2023 aims to enhance collaboration between nonprofit organizations and the federal government, improving support, funding access, and transparency for these essential community-focused entities.
Collection: Legislation
Status date: May 11, 2023
Status: Introduced
Primary sponsor: Nancy Mace (5 total sponsors)
Last action: Referred to the Committee on Oversight and Accountability, and in addition to the Committees on Education and the Workforce, and Ways and Means, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned. (May 11, 2023)

Category: None (see reasoning)

The text does not include any explicit mention or discussion of AI-related technologies, applications, or implications. Without references to AI or its impact on nonprofit organizations or the relevant sectors mentioned, it can be concluded that the categories associated with social impact, data governance, system integrity, and robustness do not apply. Therefore, all category scores will reflect this lack of relevance.


Sector: None (see reasoning)

The text primarily discusses the relationship between nonprofit organizations and the Federal Government without reference to AI applications within various sectors. It does not mention AI utilization in politics, government services, healthcare, or any other sector listed. This absence of AI-related content leads to a low relevance score for all sectors. Hence, all sector scores will reflect this non-involvement with AI.


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

Summary: The bill modifies testing procedures for very water-resistant sunscreen products and anticaries drug products, allowing alternative methods if proven to provide equivalent accuracy in results.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text primarily discusses testing procedures and regulatory standards for certain products, specifically focusing on water resistance of sunscreen products and anticaries drug products like toothpaste. There are no references to AI keywords, such as Artificial Intelligence, algorithms, or automated decision-making processes. The text does mention alternative testing procedures, including automated methods, but it does not elaborate on how AI specifically relates to these processes. Given this context, the relevance to categories such as Social Impact, Data Governance, System Integrity, and Robustness is very low, with only the mention of automated methods possibly relating to System Integrity slightly, but not strongly enough to warrant a higher score.


Sector: None (see reasoning)

This text does not explicitly address any particular sector mentioned. The focus on sunscreen and anticaries products relates to health, but it does not qualify it directly under the Healthcare sector as it doesn't involve AI's application or regulation in healthcare. Rather, it focuses on regulatory compliance for product testing. Thus, all sectors are minimally relevant, with perhaps a very slight relevance to Healthcare regarding product regulations that impact consumer health, but still not specifically related to AI application.


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

Summary: The bill outlines procedures for establishing "Quiet Zones" at railway crossings, allowing for alternative safety measures to reduce risks associated with eliminating train horn use, ensuring compliance with federal regulations.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance (see reasoning)

The text revolves around the establishment and management of quiet zones for railroad crossings, focusing on risk reduction measures known as Alternative Safety Measures (ASMs). The relevance of the categories is assessed as follows: The Social Impact category is only slightly relevant as it touches upon public safety but does not explicitly deal with broader societal implications like accountability, discrimination, or consumer protections in the context of AI. Data Governance is moderately relevant due to the need for accurate data collection, monitoring, and analysis to determine the effectiveness of ASMs and their impact on safety. System Integrity does not apply well in this context, as the focus is on physical infrastructure and engineering metrics rather than the inherent security or transparency of AI systems. Robustness is not relevant since the text does not discuss performance benchmarks or auditing of AI systems. Therefore, the legislation primarily aligns with Data Governance.


Sector:
Government Agencies and Public Services (see reasoning)

The text pertains specifically to safety measures in the railroad sector and their implementation regarding risk management. For the sectors, Politics and Elections is not relevant as there is no mention of electoral processes or political campaigns. Government Agencies and Public Services is very relevant, as the legislation involves public authorities seeking to implement safety measures at railroad crossings. The Judicial System does not apply since neither legislative nor judicial use of AI is mentioned. Healthcare, Private Enterprises, Labor, and Employment, and Academic and Research Institutions are also not applicable as they do not relate to the text's content focused on transportation safety. International Cooperation and Standards is not relevant since there is no mention of cross-border cooperation. Nonprofits and NGOs and Hybrid, Emerging, and Unclassified sectors do not fit the text, which is specific to transportation. Therefore, Government Agencies and Public Services is the most fitting sector.


Keywords (occurrence): automated (4) show keywords in context

Summary: The FEND Off Fentanyl Act aims to combat the trafficking and crisis caused by fentanyl in the U.S. through sanctions, policy enforcement, and comprehensive measures against criminal organizations involved in its distribution.
Collection: Congressional Record
Status date: July 13, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

This text primarily revolves around legislation pertaining to the trafficking of fentanyl and associated transnational criminal organizations. There are no explicit mentions of AI, algorithms, machine learning, or related technologies that would indicate relevance to any of the predefined categories. The focus remains on drug trafficking, international sanctions, and national security. Therefore, all categories receive a score of 1: Not relevant.


Sector: None (see reasoning)

The content of the text does not intersect with any of the specified sectors, as it does not discuss the use of AI within politics, government services, the judicial system, healthcare, business, or any other relevant sector. The entire text is focused on fentanyl-related legislation without reference to AI or its applications. Consequently, each sector receives a score of 1: Not relevant.


Keywords (occurrence): artificial intelligence (189) machine learning (15) neural network (1) deep learning (1) automated (41) synthetic media (1) algorithm (1) autonomous vehicle (3) show keywords in context

Summary: The bill mandates that the government make all payments to contractors via electronic funds transfer (EFT), specifying requirements for documentation and conditions for performance-based payments to ensure effective contract administration.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text does not explicitly mention any terms or concepts relating to AI. It primarily discusses payment procedures and contract management, including electronic funds transfer, performance-based payments, reporting, and contractor obligations. None of these aspects involve AI technologies, their social impact, data governance, integrity of systems, or robustness measures. Hence, all categories would be deemed irrelevant.


Sector: None (see reasoning)

The text focuses entirely on electronic payment processing and contractual obligations without delving into the use of AI in any sector. There are no references to political processes, government services, judicial matters, healthcare applications, employment practices, academic institutions, international cooperation, nonprofits, or the hybrid/emerging sectors that use AI. Therefore, all sectors score as irrelevant.


Keywords (occurrence): automated (2)

Summary: The bill outlines the introduction of various legislative proposals, covering health care, infrastructure, election worker pay, reproductive health, and environmental management, among other topics, to be considered by respective committees.
Collection: Congressional Record
Status date: May 16, 2023
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text primarily consists of a list of bills introduced in Congress, with specific mentions of various topics. Among these, S. 1626 is the only bill that explicitly discusses artificial intelligence, specifically mentioning limitations on providing AI features to minors without parental consent. This falls under the Social Impact category, as it pertains to consumer protections for minors regarding AI products. Other bills do not focus on AI or its impact on society or data governance, making them less relevant to the other categories.


Sector:
Politics and Elections (see reasoning)

The text contains several bills touching on various governmental and societal issues, with S. 1626 specifically addressing AI in the context of consumer protections related to minors. This relevance to AI in political discourse, particularly concerning regulation and ethics, positions it strongly within the Politics and Elections sector. Other sectors are not explicitly addressed by any bills in the text.


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

Description: Making 2021-2023 fiscal biennium second supplemental operating appropriations.
Summary: The bill appropriates funding for the 2021-2023 fiscal biennium, addressing operational needs of the Washington legislature and establishing work groups to evaluate employment practices and policies.
Collection: Legislation
Status date: Jan. 9, 2023
Status: Introduced
Primary sponsor: Christine Rolfes (3 total sponsors)
Last action: By resolution, reintroduced and retained in present status. (Jan. 8, 2024)

Category: None (see reasoning)

The provided text primarily deals with fiscal appropriations and administrative details regarding government funding. There is no explicit mention of AI-related terms such as Artificial Intelligence, Machine Learning, or any related technologies. As such, it does not engage with concepts of AI impact, data governance, system integrity, or benchmarks of robustness within AI systems. Therefore, relevance to the categories related to AI is minimal to nonexistent.


Sector: None (see reasoning)

The text contains no reference to the use or regulation of AI across the defined sectors. It focuses solely on budgetary appropriations for governmental functions and does not delve into applications or implications of AI technology in politics, government operations, healthcare, or other sectors. As a result, it is not relevant to any of the listed sectors.


Keywords (occurrence): artificial intelligence (2) automated (11) algorithm (1) show keywords in context

Summary: The bill outlines the congressional schedule for the week of October 17-20, 2023, including nominations, committee hearings, and legislative business across various committees in the Senate and House.
Collection: Congressional Record
Status date: Oct. 16, 2023
Status: Issued
Source: Congress

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

The text contains several references to hearings and committees regarding AI, specifically discussing its role in various sectors such as innovation, energy, and governance. Given this focus on AI's implications and applications across different areas, the relevance to 'Social Impact', 'Data Governance', 'System Integrity', and 'Robustness' is notable. The mentions of safeguarding data, the foundation for the use of AI, and risk management of AI highlight potential regulatory needs that tie into these categories.


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

The text references several committees and subcommittees discussing AI's role in different sectors, including public services, industry, and healthcare. The hearings about building a foundation for AI, its efficiency in healthcare, and its implications for power and security all demonstrate a direct relevance to the Government Agencies and Public Services, Private Enterprises, Labor and Employment, and Healthcare sectors, amongst others. Each committee is likely to address specific regulatory frameworks and concerns tied to AI use, impacting different aspects of governance and public service delivery.


Keywords (occurrence): artificial intelligence (1)

Summary: The bill outlines the Congressional program for the week of May 16-19, 2023, detailing Senate and House committee meetings, hearings, and legislative considerations, including discussions on policing reforms and financial regulations.
Collection: Congressional Record
Status date: May 15, 2023
Status: Issued
Source: Congress

Category:
Societal Impact
System Integrity (see reasoning)

The text primarily outlines congressional activities and scheduled committee meetings, including discussions regarding artificial intelligence (AI) in various government functions. The most relevant category to the AI portions relates to Social Impact, as it may include legislation addressing how AI affects society and governance. The system integrity category is also pertinent due to the mentions of oversight and rules for AI systems, indicating a focus on ensuring security and control. Data Governance and Robustness are somewhat less relevant as there are no specific mentions of data management or AI performance benchmarks in the text.


Sector:
Government Agencies and Public Services
Judicial system (see reasoning)

The text references multiple government committees that will discuss AI, making it highly relevant to the Government Agencies and Public Services sector, as it indicates how government functions may integrate or regulate AI technologies. The Judicial System sector is also relevant as it discusses oversight concerning AI legality and ethical implications. While other sectors like Healthcare and Private Enterprises are mentioned, they don't receive as much emphasis in the text, making them less relevant.


Keywords (occurrence): artificial intelligence (4) show keywords in context
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