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Regulations and Documents
Legislation
About these categories

Social Impact: encompasses legislation that specifically addresses the impact of AI on society and individuals, including but not limited to; reducing the carbon footprint of AI systems, holding system developers accountable for the outputs of these systems, the establishment of new fairness and bias metrics to guard against AI-driven discrimination, the use of AI by minors, consumer protections for AI products, regulations that address psychological, physical, or material harm caused by interactions with AI systems, and the role of AI in misinformation, public discourse, and the erosion of trust in public institutions.

Data Governance: encompasses legislation that specifically addresses the secure and accurate collection and management of data within AI systems, including but not limited to; mandates for rectifying inaccuracies in AI data sets, mandates for ensuring AI data sets are free from biases, regulations that address intellectual property concerns with the unauthorized use of protected material in AI data sets, and requirements for data encryption, data anonymization, controlled access, and compliance with consumer privacy laws.

System Integrity: encompasses legislation that specifically addresses the inherent security, transparency, and control of AI systems, including but not limited to; mandates for human intervention and oversight in AI processes, standards for the interoperability of AI systems in essential services, and the implementation of security measures such as threat modeling, penetration testing, and incident response.

Robustness: encompasses legislation that specifically addresses the development and adoption of new benchmarks for AI performance, including but not limited to; the certification of AI systems against new benchmarks, ensuring compliance with international standards, requirements for auditing and transparent reporting to verify continuous regulatory compliance, and the creation of specialized oversight bodies.

About these sectors

Politics and Elections: encompasses legislation that specifically addresses the use and regulation of AI in political campaigns, electoral processes, and related legislative activities.

Government Agencies and Public Services: encompasses legislation that specifically addresses the use and regulation of AI by state and federal government agencies, as well as AI applications in the delivery of public services and enhancing government operations.

Judicial System: encompasses legislation that specifically addresses the use and regulation of AI by judicial and legal systems, including but not limited to the use of AI in case management and legal decision making.

Healthcare: encompasses legislation that specifically addresses the use and regulation of AI in healthcare settings, including but not limited to AI applications within hospitals and clinics, the development of AI-enabled diagnostic tools and related medical technologies, and the management of medical data.

Private Enterprises, Labor, and Employment: encompasses legislation that specifically addresses the use and regulation of AI in business environments, ensuring fair competition, and the effects of AI on labor markets, employment practices, and corporate governance.

Academic and Research Institutions: encompasses legislation that specifically addresses the use and regulation of AI in educational and research contexts.

International Cooperation and Standards: encompasses laws and agreements that address international cooperation on AI development, use, and regulation, including but not limited to multinational standards, cross-border data practices, and global ethical guidelines for AI.

Nonprofits and NGOs: encompasses legislation that specifically addresses the use and regulation of AI by nonprofits and non-governmental organizations and institutions.

Hybrid, Emerging, and Unclassified: encompasses legislation that doesn't neatly fit into other categories, as well as the application of AI in hybrid or emerging sectors.

Clear All

5037 results:


Text of Senate Amendment 2465

Summary: The bill amends S. 4638 to establish the Department of State Authorization Act for FY 2025, focusing on workforce modernization, compensation, training, and organizational improvements for State Department personnel.
Collection: Congressional Record
Status date: July 11, 2024
Status: Issued
Source: Congress

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

The text in question has limited explicit mentions of AI-related components. However, it touches upon workforce modernization and technical aspects that could imply the integration of AI systems, particularly in sections like 'Sec. 9107. Electronic medical records', which discusses the modernization of health records management potentially supported by AI technologies. Similarly, 'Sec. 9301. Supporting Department of State data analytics' suggests an interest in data analytics, which is closely tied to AI. The overall intent appears to enhance operational efficiencies and effectiveness within the context of government functions and requires understanding AI's social aspects, data governance issues, system integrity, and robustness, though these elements are not the primary focus of the text.


Sector:
Government Agencies and Public Services
Healthcare
Hybrid, Emerging, and Unclassified (see reasoning)

The legislation predominantly pertains to the Department of State and indirectly outlines aspects concerning public service delivery efficiency, data management, and potentially the broader implications of AI in government operations. The mention of training, modernization of workforce systems, and supporting data analytics, implies a direct connection to government functions, which can be improved through the incorporation of AI technologies. However, there are no strong explicit references to any single sector like healthcare or elections, which limits the sector relevance to broader government services.


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

ADDITIONAL COSPONSORS

Summary: The bill adds additional cosponsors to various Senate bills, including those recognizing Holocaust diplomats, amending healthcare and budget acts, and addressing mental health awareness in agriculture.
Collection: Congressional Record
Status date: June 3, 2024
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily lists cosponsors for various bills in the Congressional Record and does not contain any explicit references to AI-related terms or issues. As such, it lacks content that would correlate with the specified categories such as Social Impact, Data Governance, System Integrity, and Robustness. The absence of any discussions or provisions related to the impact of AI on society, data management within AI systems, the security and control of AI applications, or performance benchmarks for AI means that these categories are not relevant.


Sector: None (see reasoning)

Similarly, the documents do not address any particular sectors that would highlight the use or regulation of AI within the categories provided. No references to AI applications across the sectors such as Politics and Elections, Government Agencies and Public Services, Judicial System, Healthcare, Private Enterprises, Academic Institutions, International Cooperation, Nonprofits, or hybrid sectors are found. As a result, these sectors can be scored as not relevant as well.


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

United States HB7603: To direct the Secretary of Defense to ensure that the audit of the financial statements of the Department of Defense for fiscal year 2024 is conducted using technology that uses artificial intelligence, and for other purposes.

Description: To direct the Secretary of Defense to ensure that the audit of the financial statements of the Department of Defense for fiscal year 2024 is conducted using technology that uses artificial intelligence, and for other purposes.
Summary: The bill mandates the use of artificial intelligence technology for auditing the Department of Defense's financial statements for fiscal year 2024, aiming to improve accuracy and efficiency in financial management.
Collection: Legislation
Status date: March 8, 2024
Status: Introduced
Primary sponsor: David Schweikert (sole sponsor)
Last action: Referred to the Committee on Armed Services, and in addition to the Committee on Appropriations, 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. (March 8, 2024)

Category:
Societal Impact
System Integrity (see reasoning)

The text primarily discusses the incorporation of artificial intelligence technology for auditing the financial statements of the Department of Defense. The focus on AI technology in audit processes points to potential implications for social impact, particularly in enhancing transparency and accountability in government finances. However, it does not directly address broader societal impacts like discrimination or harm, so while it’s relevant, it’s not extremely relevant. Regarding data governance, the text suggests secure and methodical management of audit data through AI but lacks explicit mention of data privacy or accuracy mandates. For system integrity, the legislation emphasizes using AI to maintain controls and comply with government auditing standards, making it very relevant to ensuring effective oversight and operational integrity. Finally, robustness in terms of benchmarks or auditing standards related to AI isn't explicitly covered, leading to a moderate relevance. Overall, the primary focus on AI in government auditing gives substantial relevance to system integrity, moderate relevance to social impact and data governance, and less emphasis on robustness.


Sector:
Government Agencies and Public Services (see reasoning)

The text clearly pertains to the Government Agencies and Public Services sector since it deals with a directive to the Department of Defense, which is a federal government agency. It focuses on enhancing public services through the use of AI in auditing, making it centrally relevant. There is no mention of AI specifically in political processes, healthcare, or other sectors, indicating that the legislation does not relate to those areas. Therefore, the primary score reflects a strong relevance to government operations, while other sectors receive low scores due to lack of association.


Keywords (occurrence): artificial intelligence (2) show keywords in context

Text of Senate Amendment 2587

Summary: The bill expresses the Senate's position on promoting digital trade and the digital economy, emphasizing the need for strong, inclusive international rules that uphold U.S. values and foster economic growth.
Collection: Congressional Record
Status date: July 11, 2024
Status: Issued
Source: Congress

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

The text discusses AI in the context of digital trade and technology standards, identifying the importance of negotiating digital trade rules that include the governance of AI and other emerging technologies. This reveals a significant concern regarding the impact of AI on the economy, consumer rights, and international cooperation, indicating direct relevance to societal impact, data governance, system integrity, and robustness. However, the focus is primarily on broader digital economy challenges rather than specific AI issues, which affects the scoring approximately across each of these categories.


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

The text explicitly addresses technology standards and rules concerning AI, which impacts various sectors including government procedures, international trade, and potential applications across healthcare, manufacturing, and digital services. Its primary relevance is to Government Agencies and Public Services, as it implicates how AI will be managed and integrated into state functions, alongside implications for Private Enterprises, Labor, and Employment concerning AI impacts on economic and workforce dynamics. The text lacks specific reference to other sectors like Healthcare and Judicial System significantly, thereby affecting the scores accordingly.


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

Daily Digest/COMMITTEE MEETINGS FOR 2024-07-24

Summary: The bill outlines committee meetings scheduled for July 24, 2024, discussing various legislative proposals, including security, cybersecurity, federal procurement, and designations of post offices, among others.
Collection: Congressional Record
Status date: July 23, 2024
Status: Issued
Source: Congress

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

The text contains a mention of legislation aimed at enhancing the 'safe, responsible, and agile procurement, development, and use of artificial intelligence by the Federal Government.' This indicates a direct relevance to AI and its implications on governmental practices. There is additional mention of various committees and hearings, but without explicit AI-related discussions or focuses outside of the specified legislation. Therefore, the relevance to the categories will be assessed based on this specific reference to AI legislation.


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

The text mentions committees that pertain to various sectors of public service, particularly about government practices and AI usage within that context. The legislation regarding AI suggests implications for how government agencies procure and use AI technologies, which could involve considerations of ethics, oversight, and impacts on society. Thus, relevance scores are moderate to high across sectors concerned with government operations, employment, and possibly healthcare, given cybersecurity references. However, the detail is limited, preventing a higher categorization across the board.


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

INTRODUCTION OF BILLS AND JOINT RESOLUTIONS

Summary: The bill introduces multiple legislative proposals aimed at various sectors, including small business AI training resources, workforce development, and public health initiatives, to enhance transparency, support, and safety across diverse areas.
Collection: Congressional Record
Status date: June 11, 2024
Status: Issued
Source: Congress

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

The text includes references to AI specifically in bills aimed at supporting the development of AI training resources for small businesses (S. 4487) and the safe and responsible use of AI by the Federal Government (S. 4495). This demonstrates a clear focus on the implications and applications of AI within the legislative framework, which is relevant to the Social Impact in terms of economic support, as well as Data Governance with respect to the management and ethical use of AI systems by the government. Furthermore, the emphasis on developing resources also reflects aspects of System Integrity in ensuring that these systems are maintained responsibly. The Robustness category is less applicable as the text does not discuss benchmarks for AI performance or compliance measures. Overall, the presence of AI in the proposed legislation highlights its relevance across multiple categories, particularly concerning social outcomes and governance structures.


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

Several bills specifically mention applications and regulations of AI in governmental contexts. For instance, S. 4495 focuses on the Federal Government's procurement and use of AI, showcasing direct implications for Government Agencies and Public Services. This suggests significant relevance to that sector. Furthermore, while some bills touch upon workforce and employment aspects indirectly through workforce initiatives (specifically the multiple references to the Workforce Innovation and Opportunity Act), the connections to Private Enterprises, Labor, and Employment are less direct. There are no discernible mentions of AI in political or legal contexts, limiting the relevance to the Politics and Elections or Judicial System sectors. Overall, the text is highly relevant to Government Agencies and Public Services and to a lesser extent, Private Enterprises.


Keywords (occurrence): artificial intelligence (2) show keywords in context

Energy Regulation (Executive Calendar)

Summary: The bill opposes the Biden administration's energy regulations, arguing they hinder electricity production, increase costs, and threaten grid reliability, advocating for reduced regulatory burdens to enhance energy security and affordability.
Collection: Congressional Record
Status date: June 12, 2024
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily discusses energy regulations and their implications on power generation, especially concerning coal, gas, and other sources. While it briefly mentions the demand for electricity arising from data centers supporting cloud computing and artificial intelligence, this reference does not delve deeply into the impacts of AI on society, data governance, system integrity, or robustness. The focus is more on energy policies rather than foundational AI legislation or discussions.


Sector: None (see reasoning)

The text touches on the energy sector and the implications of regulatory policies on electricity provision but does not specifically discuss AI in relation to politics and elections, government services, the judicial system, healthcare, private enterprises with regard to AI processes, academic institutions, international standards, nonprofits, or emerging fields. AI is mentioned as a part of the electricity demand landscape but lacks direct relevance to any specific sector's regulatory framework.


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

INTRODUCTION OF BILLS AND JOINT RESOLUTIONS

Summary: The bill introduction outlines several proposed legislations aimed at improving various federal programs, addressing discrimination, enhancing public awareness on technology, and managing federal resources effectively. Key focuses include Pell Grants, digital content education, and child welfare services.
Collection: Congressional Record
Status date: June 20, 2024
Status: Issued
Source: Congress

Category:
Societal Impact
Data Governance (see reasoning)

The text provides an overview of several bills introduced in the U.S. Congress, with specific mention of artificial intelligence in some of the bills. One proposal (S. 4596) specifically addresses public awareness about the benefits, risks, and prevalence of AI, indicating a focus on its societal impact. Another bill (S. 4614) aims to distribute educational materials about AI and social media implications. These references strongly relate to societal considerations and data governance surrounding the use of AI. The text does not cover system integrity or robustness since it does not discuss standards, compliance, or auditing of AI systems, but it clearly highlights the social impact and data governance associated with AI's presence in public discourse and technology.


Sector:
Academic and Research Institutions (see reasoning)

Various introduced bills pertain to different sectors, including education through S. 4614's focus on providing resources about AI to enhance public understanding. However, the core focus remains on public awareness and not specified applications of AI in sectors such as healthcare or judicial systems. S. 4596 touches on the importance of artificial intelligence in daily life but does not delve into specifics that would categorize it firmly under sectors like healthcare or government services directly. Therefore, while it has relevance, it isn't strongly tied to any sector, leading to lower scores in each specific category.


Keywords (occurrence): artificial intelligence (2) show keywords in context

Mississippi HB1704: Appropriations; revise certain FY 2024 appropriations and direct transfers.

Description: An Act To Amend Section 7 Of Chapter 15, Laws Of 2023, To Revise The Fiscal Year 2024 Appropriation To The Board Of Psychology To Revise The Amount Of Funds Provided For The Administrative Support Of The Mississippi Autism Board; To Amend Section 4 Of Chapter 34, Laws Of 2023, To Revise The Fiscal Year 2024 Appropriation To The Office Of State Aid Road Construction To Revise The Amount Of Funds Authorized To Be Expended For The Replacement Of Structurally Deficient Bridges; To Amend Section 4...
Summary: House Bill 1704 revises various FY 2024 appropriations in Mississippi, reallocating funds for mental health, education, infrastructure, and disaster relief to enhance state services and respond to community needs.
Collection: Legislation
Status date: April 8, 2024
Status: Passed
Primary sponsor: John Read (2 total sponsors)
Last action: Approved by Governor (April 8, 2024)

Category: None (see reasoning)

The text does not explicitly address AI technologies or their implications, focusing instead on funding appropriations for various state departments and initiatives such as healthcare, education, and infrastructure. Since there are no references to AI-related issues such as ethical concerns, data governance, algorithmic accountability, or system integrity in the text, it is assessed as not relevant to the AI categories.


Sector: None (see reasoning)

The text primarily concerns appropriations for state departments and initiatives, with a specific focus on fiscal budgets, rather than addressing legislation on AI or its use in specific sectors. Although education and healthcare are mentioned, the document lacks a direct connection to how AI is involved or should be regulated in these areas.


Keywords (occurrence): artificial intelligence (1)

Connecticut HB05524: An Act Authorizing And Adjusting Bonds Of The State And Concerning Provisions Related To State And Municipal Tax Administration, General Government And School Building Projects.

Description: An Act Authorizing And Adjusting Bonds Of The State And Concerning Provisions Related To State And Municipal Tax Administration, General Government And School Building Projects.
Summary: The bill authorizes the state to issue bonds totaling up to $100.1 million for various state projects, including renovations, environmental remediation, and community development initiatives, to enhance state infrastructure and services.
Collection: Legislation
Status date: June 6, 2024
Status: Passed
Primary sponsor: Matthew Ritter (8 total sponsors)
Last action: Signed by the Governor (June 6, 2024)

Category: None (see reasoning)

The text does not contain any specific references to AI technologies, systems, or implications in its legislative content. Instead, it focuses on bond authorization and financial provisions for state and municipal projects, which doesn't inherently relate to AI applications, their governance, integrity, or robustness. This leads to a conclusion that the categories designed for AI-related legislation are not relevant to this document.


Sector: None (see reasoning)

The bill predominantly concerns financial administration and specific public projects, lacking any mention of AI technologies or their implications in various sectors. Therefore, it does not intersect with political, governmental, judicial, healthcare, employment, academic, international, or nonprofit sectors as related to AI. Hence, all sector categories are scored as not relevant.


Keywords (occurrence): artificial intelligence (9) machine learning (2) algorithm (2) show keywords in context

Mississippi SB2288: Images or audio altered or created by digitization; criminalize dissemination of in certain circumstances.

Description: An Act To Criminalize The Unlawful Dissemination Or Publication Of An Intimate Or Nonintimate Image Or Audio Created Or Altered By Digitization Where The Image Or Audio Is Disseminated Or Published With Intent To Cause Harm To The Emotional, Financial Or Physical Welfare Of Another Person And The Actor Knew Or Reasonably Should Have Known That The Person Depicted Did Not Consent To Such Dissemination Or Publication; To Define Terms; To Provide That The Crimes Include The Use Of Images Or Audi...
Summary: Senate Bill 2288 criminalizes the unauthorized dissemination of digitally altered audio or images intended to harm another person's welfare, emphasizing the absence of consent. It establishes penalties for violators.
Collection: Legislation
Status date: April 10, 2024
Status: Other
Primary sponsor: Chris Johnson (2 total sponsors)
Last action: Died On Calendar (April 10, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

This legislation primarily addresses the unlawful dissemination of digital content, specifically images or audio created or altered through digitization. The text makes explicit reference to technologies such as 'software', 'machine learning', and 'artificial intelligence', indicating a strong focus on how AI and related technologies can be misused for harmful purposes, such as creating deepfakes or non-consensual manipulated media. This relevance extends primarily to the Social Impact category, where the intent to cause emotional, financial, or physical harm through AI-manipulated media aligns with concerns over misinformation, psychological harm, and the loss of trust in visual or audio representations. The legislation also hints at the broader social implications of technology misuse, linking back to accountability and consumer protection. The Data Governance category has some relevance, although it is not the primary focus, as the legislation does indirectly touch on accuracy and consent regarding digital images and audio. The other two categories, System Integrity and Robustness, are less applicable since the bill does not specifically address transparency, security, or benchmarking standards for AI systems.


Sector:
Government Agencies and Public Services
Hybrid, Emerging, and Unclassified (see reasoning)

This text pertains to multiple sectors but is most relevant to the sector of Hybrid, Emerging, and Unclassified. This is evident in the combination of digitization, AI technologies, and the unintended consequences of their misuse outlined within the bill. While the legislation can tangentially relate to categories such as Government Agencies and Public Services, particularly concerning regulatory enforcement, it does not address specific applications or regulations in distinct sectors like Healthcare or Private Enterprises. The text is not specifically about politics or any legislative actions in elections, nor does it target the Judicial System directly in terms of AI usage. However, it exemplifies a modern issue that straddles multiple sectors and the emerging regulatory landscape surrounding AI-generated or altered content.


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

TEXT OF AMENDMENTS

Summary: The bill includes amendments to authorize fiscal year 2025 appropriations for military activities and mandates reports on environmental impacts of certain tire chemicals and small business contracting transparency.
Collection: Congressional Record
Status date: July 11, 2024
Status: Issued
Source: Congress

Category: None (see reasoning)

The provided text does not contain explicit references to AI technologies or their applications. The amendments discussed focus primarily on military activities, environmental impacts related to tire production, small business concerns, and data sharing processes within educational contexts. There are no mentions of AI-related concepts such as algorithms, machine learning, or automated decision-making processes. Since there is no relevant AI content to consider under the given categories, all category scores will reflect their irrelevance to the text.


Sector: None (see reasoning)

The text predominantly revolves around military appropriations, environmental legislation, and small business reporting without mentioning any AI applications or implications. The sectors defined are not covered in the amendments provided, as they do not relate to AI's role in politics, government services, judicial systems, healthcare, or any other formulated sector. Therefore, all sector scores will also reflect their irrelevance to the text.


Keywords (occurrence): artificial intelligence (385) machine learning (9) automated (13) synthetic media (1) foundation model (2) chatbot (4) recommendation system (4) algorithm (3) show keywords in context

ADDITIONAL COSPONSORS

Summary: The bill details various Senate measures, primarily listing additional cosponsors for existing bills, including those recognizing heroism during the Holocaust and other legislative initiatives.
Collection: Congressional Record
Status date: July 8, 2024
Status: Issued
Source: Congress

Category:
Data Robustness (see reasoning)

The text primarily consists of names of senators adding their support to various bills, most of which do not pertain to artificial intelligence (AI) or its implications. However, S. 4178 specifically addresses AI by establishing standards, metrics, and evaluation tools for AI research and development, indicating a regulatory framework that supports innovation. This is a clear alignment with the categories as it addresses the structural framework needed for AI-related advancements. The remaining categories did not show relevance given their focus on societal impact, data governance, integrity, or performance benchmarks which are not addressed in this text.


Sector:
Academic and Research Institutions (see reasoning)

The legislation mentioned in the text mostly pertains to general governmental and public issues, like the recognition of individuals or public service enhancements, which do not connect to specific sectors related to AI applications. However, S. 4178 does have implications for sectors focused on Technology Development and Research, indicating a potential overlap in such frameworks. Overall, the direct relevance to the sectors as described is minimal, making the scores low across the board.


Keywords (occurrence): artificial intelligence (2) show keywords in context

Text of Senate Amendment 2107

Summary: The bill mandates a report on U.S.-China economic integration and associated national security risks, to be submitted every three years for 15 years, assessing various key sectors.
Collection: Congressional Record
Status date: July 9, 2024
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text addresses the need for a report on economic integration between the US and China and explicitly mentions AI as one of the priority sectors. Given that AI is a significant element of national security and economic strategy, the legislation's focus on this area pertains directly to the societal implications of AI technology. This relevancy to the social impact surrounding AI is notable. The lack of explicitly governing data management or system integrity indicates a low relevance to those categories, while robustness is not directly addressed. Hence, the Social Impact category stands out the most regarding the implications of AI on security, fairness, and ethical considerations.


Sector:
Government Agencies and Public Services (see reasoning)

The text's focus on Artificial Intelligence is clear, as it lays out AI as one of ten priority sectors for evaluation. This indicates a direct relationship between AI and the legislative process. However, it does not explore the operational details regarding AI’s application in governance, healthcare, or the judicial system, making the relevance for those sectors lower. Given its emphasis on economic and security assessments, the only highly relevant sector is AI itself, while others score marginally since they are not explicitly mentioned. Hence, the Political and Electoral relevance is low though it discusses national security implications, the Government Agencies sector could also be noted due to the involvement of various secretaries mentioned. Overall, the overarching focus remains on economic implications rather than specific applications across all nine sectors.


Keywords (occurrence): artificial intelligence (1)

New Jersey SJR114: Urges Congress and President to enact "Do Not Disturb Act."

Description: Urges Congress and President to enact "Do Not Disturb Act."
Summary: This bill urges Congress and the President to enact the "Do Not Disturb Act," aiming to enhance protections against spam and scam calls, particularly for vulnerable populations like seniors.
Collection: Legislation
Status date: May 9, 2024
Status: Introduced
Primary sponsor: Vin Gopal (sole sponsor)
Last action: Introduced in the Senate, Referred to Senate Law and Public Safety Committee (May 9, 2024)

Category:
Societal Impact
Data Robustness (see reasoning)

The text clearly addresses the impact of AI as it pertains to combating scams that utilize artificial intelligence technologies. With AI being mentioned explicitly in the context of fraud, this indicates a significant social impact as it seeks to protect individuals from manipulation and deception through AI-driven scams. Additionally, the text calls for legislative action aimed at bolstering consumer protections against these AI-enhanced tactics, which further aligns with the category of social impact. Regarding data governance, system integrity, and robustness, there is limited relevance as the text primarily focuses on AI in the context of scams and consumer protection without delving deeply into data management or system performance. Therefore, relevance ratings will vary but primarily highlight social impact due to the urgent nature of protecting citizens. Ultimately, the legislation aims to enhance protections in society against AI-driven scams, making it most relevant to the social impact category.


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

The text broadly relates to various sectors although it is primarily centered around consumer protection from scams and scams employing artificial intelligence. The most pertinent sector here is Private Enterprises, Labor, and Employment due to the implications for businesses employing AI technologies in marketing and communications. The Government Agencies and Public Services sector is mildly relevant since the legislation involves Congressional action and public service to combat scams. The Judicial System may have slight relevance as it touches upon legal definitions concerning automated systems, but there is no significant legislative focus on judicial use of AI. Other sectors like Healthcare, Politics and Elections or Academic and Research Institutions do not directly pertain to the content of this text. The most significant assignments will be towards Private Enterprises and Government Agencies due to the implications for business practices and public policy. Consequently, while various sectors are mentioned, few carry significant weight beyond the consumer protection intent.


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

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill introduces multiple public bills concerning water rights settlements for various Native American tribes, tax amendments, education programs, and workforce development initiatives, aimed at addressing specific community needs and rights.
Collection: Congressional Record
Status date: July 8, 2024
Status: Issued
Source: Congress

Category:
Societal Impact
Data Governance (see reasoning)

The text includes a specific bill (H.R. 8939) that seeks to establish technical and procedural standards for artificial or prerecorded voice systems created through generative artificial intelligence. This aspect of the text directly aligns with the category of Social Impact as it pertains to the use of AI in communications and potentially addresses concerns about the implications of such technologies. Similarly, it also touches on Data Governance since technical and procedural standards can influence data handling practices within AI systems. However, there are limited references to system security, transparency, auditing, or compliance aspects, which means it might not fit well into System Integrity or Robustness. Overall, the focus on AI and its implications allows for a substantial connection to the relevant categories.


Sector:
Government Agencies and Public Services (see reasoning)

The only direct reference to AI in this text connects to legislation regarding the Communications Act as it pertains to artificial or prerecorded voice systems generated by AI. This implies its relevance to government regulation of technology and communications, aligning it with the Government Agencies and Public Services sector. However, due to the lack of broader implications across multiple sectors or specific references to the judicial system, healthcare, or other fields, the scoring for each sector remains low. The most significant association exists with the Government Agencies and Public Services sector due to the regulatory intentions of the mentioned bill, while other sectors receive low scores due to minimal or no direct references to AI application within their contexts.


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

Daily Digest/COMMITTEE MEETINGS FOR 2024-01-29

Summary: The bill outlines committee meetings scheduled for January 29, 2024, including discussions on various proposed laws addressing officer safety, community protection from DUIs, social security fraud, and immigration policy.
Collection: Congressional Record
Status date: Jan. 26, 2024
Status: Issued
Source: Congress

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

The text references a committee meeting regarding 'The Future of Data Privacy and Artificial Intelligence at VA,' indicating a focus on the implications and governance of AI within the Veterans Affairs context. This directly relates to the 'Data Governance' category due to the mention of data privacy in conjunction with AI. Additionally, the overall discussions around AI may have implications on 'Social Impact' considering the effects on veterans and potentially broader societal effects of AI in this domain. The focus on future considerations indicates that aspects of 'System Integrity' might be explored in terms of maintaining proper oversight and control over AI systems in this context, but this is less directly mentioned. 'Robustness' might be considered due to improvements in AI performance or standards discussed in a future context, but it is speculative. Given these points, 'Data Governance' will likely be the most relevant, followed by 'Social Impact.'


Sector:
Government Agencies and Public Services
Healthcare (see reasoning)

The mention of a specific subcommittee focused on technology modernization within Veteran Affairs suggests that the content likely involves discussions about the role of AI in improving public services and perhaps improving the overall functioning of the VA. This leads to significant relevance to the 'Government Agencies and Public Services' sector. While there are broader implications for AI affecting societal aspects or other industries, the emphasis here is firmly rooted in government-related applications, particularly in veteran services. The text references data privacy, indicating potential concern around the application of AI, which might touch on other sectors minimally, such as 'Healthcare' given it's related to veteran health services, but the focus remains significantly on government utility rather than the other sectors listed.


Keywords (occurrence): artificial intelligence (1)

Official Board Commentary on Regulation II

Summary: The bill outlines compliance regulations related to electronic debit transactions, detailing definitions, enforcement by agencies, and interchange transaction fees, aiming to enhance consumer protection and regulatory clarity.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2024
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text does not contain any explicit references to AI, algorithms, automation, or related technologies. It predominantly reviews regulatory frameworks surrounding debit card transactions and does not address any implications of AI systems, such as data governance or ethical considerations involving AI. Therefore, none of the categories are relevant to the text.


Sector: None (see reasoning)

Similarly, there are no indications or mentions of AI applications in any particular sector, including political influence, healthcare use, or employment impact. The content primarily focuses on regulations concerning electronic debit transactions, which makes it unrelated to the provided sectors.


Keywords (occurrence): automated (3) show keywords in context

New Jersey A4639: Requires boards of education to adopt policy on use of video surveillance systems with artificial intelligence capabilities.

Description: Requires boards of education to adopt policy on use of video surveillance systems with artificial intelligence capabilities.
Summary: The bill mandates school boards in New Jersey to adopt policies for using artificial intelligence-equipped video surveillance systems, ensuring transparency and outlining data collection and access procedures for parents and guardians.
Collection: Legislation
Status date: June 25, 2024
Status: Introduced
Primary sponsor: Cody Miller (2 total sponsors)
Last action: Introduced, Referred to Assembly Science, Innovation and Technology Committee (June 25, 2024)

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

The text specifically focuses on the implementation of artificial intelligence within video surveillance systems in educational settings. The relevance to the categories is as follows: Social Impact is relevant as the policy addresses the implications of AI in schools, including challenges such as privacy concerns and the potential for misuse, thus impacting students and their families. Data Governance is very relevant; it discusses regulations about data collection, access, and policies regarding information gathered through AI systems in schools. System Integrity is also relevant, particularly regarding the need for guidelines and accountability for the surveillance systems. Robustness may be slightly relevant, but it focuses more on performance standards for AI systems rather than the specific issues raised in the text. Overall, this bill directly concerns the societal implications and governance surrounding AI in a sensitive context, which warrants higher scores for categories addressing social impact and data management.


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

This legislation is particularly relevant to the educational sector, as it pertains to the use of AI in schools. It addresses how educational boards must formulate policies regarding the use of AI-powered surveillance systems. It also touches on parental involvement and student rights, as the policy is to be distributed to parents and guardians. While it is indirectly related to Government Agencies and Public Services since educational institutions operate under government regulations, the primary focus remains within the education sector. Thus, it primarily fits in the Academic and Research Institutions sector very well, and this is where it scores higher than other sectors.


Keywords (occurrence): artificial intelligence (2) show keywords in context

Executive Order 14110 of October 30, 2023. Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Summary: Executive Order 14110 establishes a framework for the safe and responsible development of artificial intelligence (AI) in the U.S., emphasizing collaborative governance, consumer protection, equitable access, and ethical standards to mitigate risks.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2024
Status: Issued
Source: Office of the Federal Register

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

The Executive Order directly addresses the societal impacts of AI, including issues of fairness, bias, and discrimination, making it extremely relevant to the Social Impact category. It seeks to establish principles to govern AI development and use, thereby directly relating to issues like civil rights, consumer protections, and the impacts of AI systems on workers. Additionally, the order discusses the need for transparency, accountability, and ethical development in AI, which ties closely to System Integrity. Data Governance is also relevant as it emphasizes the secure management of data and privacy concerns, although not as strongly emphasized as Social Impact and System Integrity. The Robustness category is somewhat present through mentions of evaluation and certification processes but lacks specific benchmarks or standards that define it as a priority in this order.


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

The text primarily addresses broad implications and regulations for AI that impact various sectors. It discusses aspects that touch on the roles of AI in political, economic, and social systems but does not address any specific sector in detail. However, the emphasis on ensuring responsible AI use has implications for Government Agencies and Public Services and could extend to economic systems as well. Still, the broadness of coverage means it doesn’t neatly fit into a specific sector, especially since its focus is on overarching principles and guidelines rather than specific applications. Therefore, sectors such as Healthcare, Judicial Systems, or Political systems have slight or no relevance, leaving Government Agencies and Public Services as the most relevant but still moderately so.


Keywords (occurrence): artificial intelligence (15) machine learning (3) automated (10) large language model (1) foundation model (3) show keywords in context
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