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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.

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Keywords (occurrence): artificial intelligence () machine learning () neural network () deep learning () automated () deepfake () synthetic media () large language model () foundation model () chatbot () recommendation system () algorithm () autonomous vehicle ()

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Keywords (occurrence): artificial intelligence () machine learning () neural network () deep learning () automated () deepfake () synthetic media () large language model () foundation model () chatbot () recommendation system () algorithm () autonomous vehicle ()

PROVIDING FOR CONGRESSIONAL DISAPPROVAL UNDER CHAPTER 8 OF TITLE 5, UNITED STATES CODE, OF THE RULE SUBMITTED BY THE BUREAU OF OCEAN ENERGY MANAGEMENT RELATING TO "PROTECTION OF MARINE...

Summary: This bill aims to disapprove a rule from the Bureau of Ocean Energy Management that protects marine archaeological resources during oil and gas drilling, arguing it imposes unnecessary regulations and could hinder development.
Collection: Congressional Record
Status date: Feb. 25, 2025
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text primarily discusses legislation related to national security, particularly in the context of U.S. investment in AI technologies in China. It touches on various aspects concerning the societal and security implications of AI, such as the effects of investments in AI on military capabilities. However, it does not delve deeply into the technical details of data governance, system integrity, or robustness. The mention of AI specifically pertains to its potential threat if used in adversarial contexts, rather than broader regulatory or deep technical discussions about AI performance, safety, or standards. This positions the text mainly within Social Impact due to the discussion of societal implications, while Data Governance, System Integrity, and Robustness are either minimally relevant or not mentioned at all.


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

The text has a heavy focus on national security and foreign relations, particularly concerning China and U.S. investments in technology that could enhance China's military capabilities. This indicates a relevance to the sector of Politics and Elections due to the framing of these discussions in terms of national policy and security strategies that could influence electoral actions and public policy. The discussion also touches upon government actions and the need for regulations regarding AI investments, which intersects with Government Agencies and Public Services. However, the references to other sectors such as Judicial, Healthcare, Private Enterprises, Academic, and Nonprofits, while potentially relevant, are not central to the text's focus. Therefore, scores for the sectors vary based on their direct relevance to the conversation at hand.


Keywords (occurrence): artificial intelligence (2) autonomous vehicle (1) show keywords in context

United States SB4596: Artificial Intelligence Public Awareness and Education Campaign Act

Description: A bill to require the Secretary of Commerce to conduct a public awareness and education campaign to provide information regarding the benefits of, risks relating to, and the prevalence of artificial intelligence in the daily lives of individuals in the United States, and for other purposes.
Summary: The Artificial Intelligence Public Awareness and Education Campaign Act requires the Secretary of Commerce to launch an educational campaign about AI's benefits, risks, and prevalence in daily life, enhancing public understanding.
Collection: Legislation
Status date: June 20, 2024
Status: Introduced
Primary sponsor: Todd Young (2 total sponsors)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 726. (Dec. 18, 2024)

Category:
Societal Impact (see reasoning)

Given that the text discusses a bill aiming to promote public awareness and education regarding artificial intelligence, it directly relates to the societal impact of AI. The reference to benefits and risks indicates a concern for the implications that AI has on individuals and society as a whole, touching upon issues of consumer protection and awareness, which aligns well with the 'Social Impact' category. However, the bill does not delve into specific regulations or laws that address the governance of data, the integrity of AI systems, or the robustness of AI benchmarks. Therefore, while there is a clear relevance to the 'Social Impact' category, the others have no content to connect them meaningfully to AI aspects discussed in this context.


Sector: None (see reasoning)

The bill's focus is on public awareness and does not delineate the usage of AI in specific sectors like politics, healthcare, or private enterprises. Its primary intention is to educate the general public about AI, which doesn't fit neatly into any specific sector. Therefore, while it mentions AI's prevalence in daily lives, it lacks ties to formal sectors or their respective regulations.


Keywords (occurrence): artificial intelligence (14) automated (1) show keywords in context

Rhode Island S0816: Creates the deceptive and fraudulent synthetic media in election communications chapter to regulate the use of synthetic media in elections.

Description: ELECTIONS -- DECEPTIVE AND FRAUDULENT SYNTHETIC MEDIA IN ELECTION COMMUNICATIONS - Creates the deceptive and fraudulent synthetic media in election communications chapter to regulate the use of synthetic media in elections.
Summary: The bill regulates the use of deceptive synthetic media in election communications, prohibiting its distribution within 90 days of elections unless properly disclosed, to protect electoral integrity.
Collection: Legislation
Status date: June 20, 2025
Status: Engrossed
Primary sponsor: Louis Dipalma (10 total sponsors)
Last action: Transmitted to Governor (June 27, 2025)

Category:
Societal Impact (see reasoning)

The text explicitly addresses the use of synthetic media, specifically regarding deceptive and fraudulent applications within election communications. It establishes regulations to mitigate the risks associated with the misuse of AI to create misleading content in campaigns. This directly implicates the social impact of AI as it aims to protect the integrity of elections and public trust. It does not cover data governance, system integrity, or robustness in a way that demonstrates a clear focus, as the main concern is the regulation of synthetic media rather than the underlying data management or systemic frameworks.


Sector:
Politics and Elections (see reasoning)

The legislation focuses on elections and the integrity of the electoral process by regulating the use of synthetic media. As it pertains directly to deceptive practices in election communications and emphasizes the ramifications for candidates and campaign entities, it falls squarely within the realm of Politics and Elections. While there are mentions of broader themes that could touch on government operations and public trust, those do not form a substantial part of the legislation and thus do not warrant higher relevance. Other sectors such as healthcare, the judicial system, and private enterprises do not connect closely with the content of this act.


Keywords (occurrence): artificial intelligence (1) synthetic media (17) show keywords in context

New York A10652: Requires the owner, licensee or operator of a visual or audio generative artificial intelligence system to take steps to prohibit its users from creating unauthorized realistic depictions of public officials.

Description: Requires the owner, licensee or operator of a visual or audio generative artificial intelligence system to take steps to prohibit its users from creating unauthorized realistic depictions of public officials.
Summary: The bill mandates that operators of generative AI systems must implement measures to prevent users from creating unauthorized realistic depictions of public officials, ensuring their consent is required for such depictions.
Collection: Legislation
Status date: July 22, 2024
Status: Introduced
Primary sponsor: Clyde Vanel (sole sponsor)
Last action: referred to consumer affairs and protection (July 22, 2024)

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

This text primarily addresses the implications of artificial intelligence on society by focusing on unauthorized depictions of public officials generated by AI systems, raising concerns of misinformation, privacy, and accountability. It lays out obligations for AI system operators regarding the protection of public officials from unauthorized representations, which clearly ties into concerns about psychological and material harm, discrimination, and the erosion of trust in public institutions, aligning closely with issues of social impact. Data governance is pertinent due to the data management and privacy issues surrounding the creation and distribution of AI-generated images, but it is more of a secondary concern compared to the main societal issues. System integrity plays a role given the need for safeguards against unauthorized use, and robustness is less relevant in the context of this bill, as it focuses more on accountability and regulation rather than performance benchmarks.


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

The legislation directly addresses implications for public officials and candidates, falling squarely within the realm of politics, as it aims to protect individuals from unauthorized AI-generated depictions, which can impact electoral integrity and public perception. Although this intersects with issues relevant to government agencies—given that AI is being used in public communication—its main focus remains on political figures. This does not specifically align with several other sectors, such as healthcare or judicial systems, as their direct influence from this legislation is minimal. Thus, the category of politics and elections scores the highest, while government agencies yields a moderate score due to related implications for public service.


Keywords (occurrence): artificial intelligence (6) machine learning (1) automated (1) show keywords in context

Maryland HB376: Maryland Cybersecurity Council - Alterations

Description: Altering the selection of the membership and chair of the Maryland Cybersecurity Council; requiring beginning on October 1, 2025, and every 2 years thereafter, the Council to elect a chair and vice chair from among the members of the Council; requiring the Council, working with certain entities, to assess and address cybersecurity threats and associated risks from artificial intelligence and quantum computing; etc.
Summary: The bill modifies the membership and selection process of the Maryland Cybersecurity Council, requiring it to address cybersecurity threats from artificial intelligence and quantum computing, enhancing overall cybersecurity efforts in the state.
Collection: Legislation
Status date: May 20, 2025
Status: Passed
Primary sponsor: Health and Government Operations (sole sponsor)
Last action: Approved by the Governor - Chapter 627 (May 20, 2025)

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

This text discusses the Maryland Cybersecurity Council's duties regarding cybersecurity threats posed by artificial intelligence, including adversarial AI, cyber attacks, and deepfake technologies. Consequently, it is clearly relevant to the Social Impact category, as it addresses potential harms and ethical concerns related to AI applications. The legislation emphasizes the importance of assessing and addressing risks associated with AI, which directly aligns with social impacts, fairness metrics, and consumer protections. The Data Governance category is relevant as it pertains to the requirement for managing privacy interests and data security in relation to the use of AI, particularly in a cybersecurity context. The System Integrity category is applicable because the bill mentions the need for frameworks and standards around AI-related cybersecurity risks, which connects to maintaining security and oversight of AI systems. Lastly, while the Robustness category does not directly reference performance benchmarks, the overarching themes of risk assessment and incident response due to AI threats make it somewhat relevant, though not as strongly as the other categories. Overall, the text addresses multiple aspects of legislation concerning AI and its implications.


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

The text primarily centers around cybersecurity strategies involving AI, relating to how government response and oversight frameworks can tackle emerging threats. Therefore, it is highly relevant to Government Agencies and Public Services due to its focus on a state council's efforts to manage cybersecurity risks involving AI. While the text does reference sectors that interface with the Judicial System, it does not provide explicit details on legal processes, thus making this category slightly relevant but not a strong fit. The Healthcare sector is mentioned in passing concerning electronic health records, indicating a slight connection to how AI may impact health data but lacks substantial depth. The discussion around adversarial AI and automated decision-making processes could intersect with Private Enterprises, Labor, and Employment, but this connection is tangential and primarily focused on cybersecurity rather than employment practices. There is no direct discussion concerning Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, or a strong classification in Hybrid, Emerging, and Unclassified sectors. Thus, the strongest fit remains with Government Agencies and Public Services.


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