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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.

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5055 results:


Florida H0653: Motor Vehicle Insurance

Description: Repeals provisions, relating to application of Florida Motor Vehicle No-Fault Law; revises requirement for proof of security on motor vehicle; revises motor vehicle insurance coverages that applicant must show to register vehicles with DHSMV; revises garage liability insurance requirements for motor vehicle dealer license applicants; revises minimum liability coverage requirements for motor vehicle owners or operators; revises legal liability of uninsured motorist coverage insurer; revises re...
Summary: HB 653 repeals Florida's No-Fault Law and revises motor vehicle insurance requirements, including coverage types, proof of liability, and security standards, to enhance clarity and compliance.
Collection: Legislation
Status date: March 8, 2024
Status: Other
Primary sponsor: Daniel Alvarez (4 total sponsors)
Last action: Died in Insurance & Banking Subcommittee (March 8, 2024)

Category: None (see reasoning)

This text pertains primarily to motor vehicle insurance and regulatory aspects without direct reference to Artificial Intelligence (AI) technologies or implications. There are no mentions of terms associated with AI such as algorithms, machine learning, or automated decision-making. Thus, the categories of Social Impact, Data Governance, System Integrity, and Robustness are not applicable, as they require direct discussions or implications related to AI technologies which are absent in this legislative text.


Sector: None (see reasoning)

The text primarily revolves around motor vehicle regulations and insurance provisions. It does not delve into the intersection of AI with any sectors, neither does it provide insights into AI usage within Politics and Elections, Government Agencies, Healthcare, or any other specified sectors. Terms or activities associated with AI applications are completely lacking, rendering all sector categories irrelevant.


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

United States SB5379: TRAIN Act Transparency and Responsibility for Artificial Intelligence Networks Act

Description: A bill to create an administrative subpoena process to assist copyright owners in determining which of their copyrighted works have been used in the training of artificial intelligence models.
Summary: The TRAIN Act establishes an administrative subpoena process for copyright owners to identify copyrighted works used in training artificial intelligence models, ensuring transparency and accountability in AI development.
Collection: Legislation
Status date: Nov. 21, 2024
Status: Introduced
Primary sponsor: Peter Welch (sole sponsor)
Last action: Read twice and referred to the Committee on the Judiciary. (Nov. 21, 2024)

Category:
Data Governance
System Integrity (see reasoning)

The text specifically addresses the issue of copyright and the use of copyrighted works in training artificial intelligence models. This has implications for data governance because it involves maintaining accurate records of what data has been used in AI training, which ties into intellectual property concerns and the management of data used in machine learning systems. The administrative subpoena process described offers a means for copyright owners to enforce their rights, highlighting the significance of transparency and accountability in AI development. While the text does touch on aspects of system integrity through transparency in the use of copyrighted materials, its primary focus on copyright and data collection makes it less relevant to robustness and social impact as defined in the categories. Overall, the primary focus on determining the use of copyrighted works in AI training aligns strongly with data governance.


Sector:
Private Enterprises, Labor, and Employment (see reasoning)

The text does not specifically address AI applications in any of the provided sectors comprehensively. However, the mention of administrative subpoenas related to AI models implies a connection to private enterprises, particularly regarding how businesses develop and deploy generative AI models while respecting copyright laws. The text does not explicitly address politics, government agencies, the judicial system, healthcare, academic contexts, international cooperation, or nonprofits, making those categories less relevant. Therefore, the legislation is best categorized within private enterprises and is only slightly relevant to government activities regarding copyright enforcement.


Keywords (occurrence): artificial intelligence (10) show keywords in context

PUBLIC BILLS AND RESOLUTIONS

Summary: The bill includes various resolutions and public bills focusing on education, child safety, manufacturing, and financial regulation. Its purpose is to address funding eligibility, improve safety standards, and study the impact of artificial intelligence.
Collection: Congressional Record
Status date: Nov. 26, 2024
Status: Issued
Source: Congress

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

The text mentions various bills, specifically focusing on artificial intelligence (AI) in some instances, particularly legislation aimed at studying the benefits of AI and the standardization of AI systems descriptions in the financial sector. This indicates a notable concern regarding the implications and applications of AI in specific fields, which is directly relevant to the categories. The inclusion of these topics suggests an awareness and consideration of AI's societal and operational impacts, data governance issues related to AI systems, and integrity in how systems are structured and deployed.


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

The text includes a resolution regarding AI in financial services and housing, indicating a significant focus on the integration of AI into governmental and commercial processes. Moreover, the specific mention of studies and reports related to AI in these areas suggests a clear alignment with sectors directly influenced by AI technology. The presence of financial-related bills and their connection to AI also supports the relevance to legislative matters concerning politics and public services, although the focus does not extensively cover sectors like healthcare or education.


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

Rhode Island S2456: Prohibits synthetic media within ninety (90) days of an election.

Description: ELECTIONS -- DECEPTIVE AND FRAUDULENT SYNTHETIC MEDIA IN ELECTION COMMUNICATIONS - Prohibits synthetic media within ninety (90) days of an election.
Summary: The bill prohibits the distribution of deceptive synthetic media related to candidates within 90 days of an election, aiming to prevent misinformation and manipulation in election communications.
Collection: Legislation
Status date: Feb. 12, 2024
Status: Introduced
Primary sponsor: Louis Dipalma (10 total sponsors)
Last action: Committee recommended measure be held for further study (March 7, 2024)

Category:
Societal Impact (see reasoning)

The text explicitly addresses the use of synthetic media in election communications, targeting the potential for deception and fraud associated with AI technologies like generative adversarial networks. This falls directly under the Social Impact category due to its focus on the societal implications of AI usage in political contexts, particularly the risk of misinformation and its effects on public trust in electoral processes. The prohibition and disclosure requirements also highlight the need for ethical considerations in the deployment of AI in media contexts. The focus on how synthetic media can mislead the public and compromise democratic processes indicates the legislation's critical relevance to societal impacts. Therefore, I scored it as '5' for Social Impact. For Data Governance, while there is mention of the accuracy of information, it does not delve into data management practices or biases, leading to a score of '2'. System Integrity is less applicable as it does not specifically address security or governance safeguards for AI and synthetic media deployments, resulting in a score of '1'. Robustness does not address benchmarks or performance metrics for AI systems, thus scoring '1'. Overall, the clear emphasis on the implications of AI-generated content in elections significantly drives its relevance to Social Impact.


Sector:
Politics and Elections (see reasoning)

The text has a direct relationship with the politics and elections sector by regulating the use of synthetic media in electoral contexts. The legislation addresses potential manipulation of media to deceive voters and the legal ramifications for those who produce such material. This clear focus on safeguarding electoral integrity through AI regulations makes it highly relevant to the Politics and Elections sector. Therefore, it received a score of '5'. Other sectors, such as Government Agencies and Public Services, or Nonprofits and NGOs, could tangentially relate but are not the primary focus here, leading to lower scores (1 for Government Agencies and 1 for Nonprofits and NGOs, considering their limited relevance to the content). No mention of healthcare, judicial systems, or international standards further clarifies that the primary concern is political, underscoring a focused score of '5' for Politics and Elections.


Keywords (occurrence): artificial intelligence (1) synthetic media (19) show keywords in context

South Carolina H5374: Ensuring Likeness, Voice, and Image Security Act

Description: Amend The South Carolina Code Of Laws By Adding Section 39-5-190 So As To Provide That Every Individual Has A Property Right In The Use Of That Individual's Name, Photograph, Voice, Or Likeness In Any Medium In Any Manner And To Provide Penalties.
Summary: The bill establishes individuals' property rights over their names, photographs, voices, and likenesses, mandating consent for commercial use and imposing penalties for unauthorized usage.
Collection: Legislation
Status date: April 9, 2024
Status: Introduced
Primary sponsor: Patricia Henegan (4 total sponsors)
Last action: Referred to Committee on Judiciary (April 9, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

The text pertains to the legal rights surrounding an individual's name, photograph, voice, or likeness, particularly focusing on the unauthorized use of these attributes. In relation to AI, this has significant implications as AI technology can simulate or replicate voices and likenesses (deepfake technology), which raises issues of consent, personal rights, and the commercialization of one’s identity. The specific mention of algorithms, software, or technology used for this purpose makes it extremely relevant for Social Impact, as it directly addresses privacy and individual rights, highlighting concerns of misuse of AI. It also touches upon Data Governance as it involves management of data related to personal attributes, but to a lesser extent. System Integrity and Robustness are not significantly addressed here as the focus is not on the security and performance of AI systems. Therefore, Social Impact is highly relevant due to the ethical and personal rights issues associated with AI use, while Data Governance is somewhat relevant due to oversight implications. System Integrity and Robustness receive low scores due to the absence of focus on system functionalities.


Sector:
Private Enterprises, Labor, and Employment (see reasoning)

The legislation heavily relates to individual rights over personal likeness and information. This affects individuals who might be targeted by AI technologies (like deepfakes or voice simulations). However, it does not specifically address sectors such as Politics and Elections or Healthcare, where AI's impact may be more direct and apparent. The main sector relevance is found within the context of Private Enterprises, Labor, and Employment, as companies could be liable if they misuse an individual’s likeness for commercial purposes. Government Agencies and Public Services may also have an indirect connection concerning how governmental bodies handle complaints or issues arising from unauthorized uses of likeness. The legislation doesn't explicitly address the use of AI in other sectors like Academics, International Standards, or NGOs, thus leading to low relevance scores across these categories. Therefore, Private Enterprises receives a moderate score due to the potential for commercial exploitation issues uniquely tied to AI, while other sectors remain less impacted.


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

Tennessee SB2003: AN ACT to amend Tennessee Code Annotated, Title 39, relative to unlawful images.

Description: As introduced, expands the offense of unlawful exposure to include the distribution, with the intent to cause emotional distress, of an image of the intimate parts of another identifiable person or an image of an identifiable person engaged in sexually explicit conduct and the image was created or modified by means of a computer software program, artificial intelligence application, or other digital editing tools; specifies that for the purposes of sexual exploitation of children offenses, th...
Summary: This bill amends Tennessee law to clarify definitions regarding unlawful images, specifically addressing privacy considerations and the use of artificial intelligence in creating or modifying images.
Collection: Legislation
Status date: Jan. 25, 2024
Status: Introduced
Primary sponsor: Jeff Yarbro (sole sponsor)
Last action: Passed on Second Consideration, refer to Senate Judiciary Committee (Jan. 31, 2024)

Category:
Societal Impact (see reasoning)

The text contains explicit mentions of artificial intelligence applications and their role in modifying images, which is critical in the context of unlawful exposure and potential misuse of AI-generated content. Given the focus on issues such as emotional distress and identifying individuals within digital content, it connects strongly with legislation regarding the social implications of AI. The AI components mentioned hold strong relevance to considerations of fairness, bias, and misinformation, particularly as they relate to societal impact. The keywords present in the text warrant an analysis across all four categories, but particularly highlight social impacts due to concerns over emotional and psychological harm.


Sector:
Judicial system (see reasoning)

The text primarily relates to concerns around the creation and distribution of potentially malicious digital content facilitated by AI technologies, particularly in terms of emotional and psychological harm. It does not specifically deal with broader applications of AI in the sectors of politics, government, healthcare, etc., but instead focuses on issues unique to unlawful image generation and dissemination, which is more aligned with social welfare than with any specific sector. Therefore, it does not score highly in sector relevance, but its implications on social concerns justify a closer alignment with social impact.


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

Florida H1541: Transparency in Social Media

Description: Requires foreign-adversary-owned entities operating social media platforms to publicly disclose specified information in certain manner; requires foreign-adversary-owned entities operating social media platforms to implement user verification system for certain entities; requires enforcement by DLA.
Summary: The "Transparency in Social Media Act" mandates foreign-adversary-owned social media platforms in Florida to disclose algorithm details, implement user verification, and face penalties for non-compliance, enhancing transparency and security.
Collection: Legislation
Status date: March 8, 2024
Status: Other
Primary sponsor: Regulatory Reform & Economic Development Subcommittee (9 total sponsors)
Last action: Died in Fiscal Policy (March 8, 2024)

Category:
Societal Impact
System Integrity (see reasoning)

The text explicitly addresses the impact of algorithms used by social media platforms, which is crucial for understanding the broader societal implications of AI in communication and information sharing. It mentions the significance of transparency in these algorithms to safeguard democratic values and user privacy, thus tying it directly to the Social Impact category. The discussion around the need for user verification and accountability measures also intersects with social issues such as misinformation, public trust, and the influence on public discourse. However, the legislation does not delve deeply into specifics about data collection or management, which might relate to Data Governance, or broader implications for performance benchmarks that would correlate with Robustness. Thus, the focus remains more aligned with social impacts than technical frameworks or data integrity measures.


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

The text has a strong relevance to Politics and Elections due to its emphasis on social media's role in shaping public discourse and the regulations surrounding political advertising. It also touches upon Government Agencies and Public Services in terms of enforcement by the Department of Legal Affairs, indicating government involvement in monitoring and ensuring compliance. However, the relevance to sectors like Healthcare, Judicial System, Private Enterprises, and others is minimal, as the primary focus is on social media regulation. The mention of foreign influence and accountability may touch upon broad themes related to governance but doesn't specifically slot into other defined sectors.


Keywords (occurrence): algorithm (1)

Tribute to Phil and Tammy Murphy (Executive Calendar)

Summary: The bill serves as a tribute to Governor Phil Murphy and First Lady Tammy Murphy, acknowledging their impactful leadership and contributions to New Jersey's progress and community well-being over the past seven years.
Collection: Congressional Record
Status date: Nov. 21, 2024
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text discusses the leadership of Phil and Tammy Murphy in New Jersey, mentioning their initiatives in various sectors such as innovation and generative artificial intelligence (AI). However, the emphasis is primarily on their achievements in social policies, economic development, and environmental leadership rather than specific impacts or implications of AI technologies. Therefore, while AI is mentioned, the relevance to the categories is limited.


Sector:
Hybrid, Emerging, and Unclassified (see reasoning)

The text does not specifically address the use of AI in particular sectors such as politics, government, healthcare, etc. It mentions generative AI in passing, but there are no legislative or regulatory discussions related to AI application or impact in these sectors. Thus, the relevance remains minimal throughout.


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

Rhode Island H7387: Prohibits synthetic media within ninety (90) days of an election.

Description: ELECTIONS -- DECEPTIVE AND FRAUDULENT SYNTHETIC MEDIA IN ELECTION COMMUNICATIONS - Prohibits synthetic media within ninety (90) days of an election.
Summary: The bill prohibits the distribution of deceptive synthetic media—manipulated images, audio, or video—within 90 days of an election. Its aim is to safeguard electoral integrity by preventing misinformation.
Collection: Legislation
Status date: May 2, 2024
Status: Engrossed
Primary sponsor: Jacquelyn Baginski (4 total sponsors)
Last action: Referred to Senate Judiciary (May 13, 2024)

Category:
Societal Impact
System Integrity (see reasoning)

This text is primarily focused on AI-generated synthetic media and its implications in election communications. The mention of 'artificial intelligence' and 'synthetic media' indicates a direct relevance to the impact AI can have on society, specifically in political contexts. The legislation aims to address the potential harmful effects of misleading synthetic media on electoral processes, which aligns closely with the theme of social impact. Data governance is less relevant as this text primarily focuses on usage and prevention rather than the governance of data itself. System integrity may apply due to the transparency and manipulation concerns surrounding synthetic media, but it's not the primary focus. Robustness is not particularly relevant here since the legislation does not specify performance benchmarks or compliance requirements for AI systems.


Sector:
Politics and Elections
Judicial system (see reasoning)

The legislation is highly relevant to the sector of Politics and Elections as it specifically addresses the use of AI in election communications, aiming to curb deceptive practices that may distort public perception during electoral periods. While there may be implications for Government Agencies and Public Services in the enforcement of these regulations, the primary focus remains within the electoral context, making it less relevant overall in that regard. The Judicial System could see implications if lawsuits arise from the legislation, but this is secondary to the act's main purpose. Healthcare, Private Enterprises, Labor and Employment, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, and Hybrid, Emerging, and Unclassified sectors do not directly connect to the text, yielding lower relevance scores.


Keywords (occurrence): artificial intelligence (2) synthetic media (19) show keywords in context

INTRODUCTION OF BILLS AND JOINT RESOLUTIONS

Summary: The bill encompasses various proposals presented in Congress addressing issues like election security, healthcare coverage, environmental policy, and education funding, aiming to enhance governance and public welfare.
Collection: Congressional Record
Status date: Nov. 21, 2024
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily announces the introduction of various bills and joint resolutions in Congress, with only one mention related to 'the training of artificial intelligence models' which pertains to copyright concerns in S. 5387. This suggests potential legal issues surrounding AI development but does not provide significant detail to strongly categorize the legislation. Therefore, while AI is mentioned, the overall relevance to the four categories is limited. Social Impact may slightly relate to the effects of AI on society through the copyright lens, while System Integrity has weak ties due to the mention of regulatory aspects. Data Governance might also be somewhat relevant since the bill touches on copyright in relation to AI but does not explicitly focus on data management itself. The Robustness category does not appear to be aligned with the text. In conclusion, while there are mentions of AI, they do not reinforce major thematic discussions relevant to the categories.


Sector: None (see reasoning)

The text primarily consists of proposals for various legislative actions and does not specifically address sectors like Politics and Elections, Government Agencies, Healthcare, or the Judicial System with direct discourse on AI. The only relevance to a sector appears in the context of potential impacts on government agencies due to the mention of a bill concerning AI and copyright. However, this is minimal and does not carry significant weight across the other sectors either. Most bills focus on health, finance, and national security issues without a substantial AI element, resulting in low relevance scores across the board. Thus, while the discussions are in the legislative spirit, they do not touch specifically about the designated sectors of AI use and regulation.


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

Artificial Intelligence (Executive Session)

Summary: The bill aims to address biases in artificial intelligence algorithms, ensuring they don’t perpetuate discrimination in key areas like employment, banking, and healthcare, particularly impacting marginalized communities.
Collection: Congressional Record
Status date: Nov. 21, 2024
Status: Issued
Source: Congress

Category:
Societal Impact
Data Governance (see reasoning)

The text discusses the pervasive impact of AI on marginalized communities, particularly regarding bias and discrimination resulting from AI algorithms. It highlights the risk of algorithms perpetuating social inequalities and proposes comprehensive legislation aimed at regulating AI to protect civil rights. This focus on the societal implications of AI technology and the need to address issues such as bias and accountability strongly aligns with the Social Impact category. The discussion around the legislation's aims further emphasizes the need for data governance to ensure fairness and accountability in AI systems, but the social implications are more pronounced. Thus, the reasoning heavily supports a higher score in Social Impact, with moderate relevance to Data Governance for its mention of algorithm bias. System Integrity and Robustness are not directly addressed, leading to lower scores in these areas.


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

The text predominantly addresses the societal consequences of AI, particularly in marginalized communities, making it most relevant to the Politics and Elections sector as it discusses legislative efforts to address these issues through proposed laws. Similarly, it touches on Government Agencies and Public Services since successful regulation of AI systems relates to governmental oversight and application to public service sectors. However, it does not explicitly delve into political campaigning, judicial processes, healthcare, or academic institutions, leading to lower scores for those sectors and moderate scores for Politics and Elections and Government Agencies and Public Services.


Keywords (occurrence): artificial intelligence (2) algorithm (5) show keywords in context

New Jersey AJR177: Urges Congress and President to enact "Do Not Disturb Act."

Description: Urges Congress and President to enact "Do Not Disturb Act."
Summary: The bill urges Congress and the President to enact the "Do Not Disturb Act" to enhance protections against spam and scam calls, particularly for vulnerable populations.
Collection: Legislation
Status date: May 10, 2024
Status: Introduced
Primary sponsor: Annette Quijano (sole sponsor)
Last action: Introduced, Referred to Assembly Consumer Affairs Committee (May 10, 2024)

Category:
Societal Impact (see reasoning)

The 'Do Not Disturb Act' aims to enhance consumer protection against spam and scam calls, particularly those utilizing AI technologies to carry out their fraudulent activities. This act is relevant to the 'Social Impact' category as it addresses potential harms caused by AI in the form of scams, focusing on the need for regulation to safeguard citizens including vulnerable groups like senior citizens. However, while it relates to AI misuse, it does not specifically intervene in broader societal impacts beyond consumer protection. In terms of 'Data Governance', while it does address certain protections on data transactions relating to these calls, it does not extensively delve into data management or protection measures that are central to this category. The act seeks to ensure the integrity and security of communication systems rather than focusing on AI system integrity itself, making 'System Integrity' and 'Robustness' less relevant. The bill does mention AI in the context of scams but predominantly focuses on consumer protections and regulations regarding unwanted calls; thus it falls short of the comprehensive approach required for 'Robustness'.


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

The text does not specifically address the use of AI within political campaigns, nor does it focus on governance or services by state or federal agencies in a significant manner. While it could touch on aspects of 'Government Agencies and Public Services' in relation to how the act impacts consumer rights and protections within communication frameworks, it is not expressly focused on public service delivery systems. The mention of scams could theoretically relate to the 'Judicial System' as it implies a need for legal action against these practices but lacks direct engagement with judicial processes. The bill is primarily concerning consumer protections, making it most relevant to the 'Private Enterprises, Labor, and Employment' sector as it concerns telecommunications services. The 'Hybrid, Emerging, and Unclassified' sector could capture the nuances of AI and consumer rights in communications but does not monopolize the bill's focus.


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

Illinois SB3213: INS-MOTOR VEHICLE RATES

Description: Amends the Illinois Insurance Code. Provides that the amendatory Act may be referred to as the Motor Vehicle Insurance Fairness Act. Provides that no insurer shall refuse to issue or renew a policy of automobile insurance based in whole or in part on specified prohibited underwriting or rating factors. Sets forth factors that are prohibited with respect to underwriting and rating a policy of automobile insurance. Sets forth provisions concerning the use of territorial factors. Provides that e...
Summary: The Motor Vehicle Insurance Fairness Act prohibits insurers from using discriminatory factors in automobile insurance underwriting, ensuring fair practices, transparency, and public participation in rate changes.
Collection: Legislation
Status date: Feb. 6, 2024
Status: Introduced
Primary sponsor: Javier Cervantes (5 total sponsors)
Last action: Added as Chief Co-Sponsor Sen. Willie Preston (Feb. 20, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

The text discusses amendments to the Illinois Insurance Code, specifically regarding the use of algorithms and models in insurance underwriting and rating practices. It prohibits discrimination based on various underwriting factors and mandates that insurers demonstrate that their practices do not have a disparate impact on different groups. This is particularly relevant to the category of Social Impact as it tackles issues of bias and fairness in automated systems. It touches upon Data Governance as well, since the legislation requires transparency in the use of algorithms affecting insurance decisions. However, there is less emphasis on System Integrity and Robustness, given the document’s main focus on fairness and non-discrimination rather than security or performance benchmarks.


Sector:
Private Enterprises, Labor, and Employment (see reasoning)

The text is primarily focused on regulations related to the insurance sector, particularly regarding automobile insurance and the fairness of insurance practices. It mentions algorithms and underwriting in the context of ensuring non-discrimination, which are relevant to Private Enterprises, Labor, and Employment. However, it does not specifically address political legislation, government agencies, healthcare, academia, or international cooperation. The information primarily addresses practices within the private insurance sector, as it pertains to how insurance companies operate with respect to algorithms.


Keywords (occurrence): algorithm (2) show keywords in context

New York S09104: Establishes the position of chief artificial intelligence officer and such person's functions, powers and duties; including, but not limited to, developing statewide artificial intelligence policies and governance, coordinating the activities of any and all state departments, boards, commissions,...

Description: Establishes the position of chief artificial intelligence officer and such person's functions, powers and duties; including, but not limited to, developing statewide artificial intelligence policies and governance, coordinating the activities of any and all state departments, boards, commissions, agencies and authorities performing any functions using artificial intelligence tools; makes related provisions.
Summary: The bill establishes a Chief Artificial Intelligence Officer in New York to develop statewide AI policies, coordinate state agencies on AI use, and ensure compliance with laws and ethical standards regarding AI systems.
Collection: Legislation
Status date: June 4, 2024
Status: Engrossed
Primary sponsor: Kristen Gonzalez (3 total sponsors)
Last action: referred to governmental operations (June 4, 2024)

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

The legislation very directly relates to the implementation and oversight of artificial intelligence systems at the state level, which inherently involves considerations of social impact, data governance, system integrity, and robustness. It creates a dedicated role (Chief Artificial Intelligence Officer) to oversee the policies, governance, and usage of AI tools across various governmental departments. Such an establishment is critical for ensuring that societal impacts—like safety, privacy, and discrimination—are appropriately managed (Social Impact). The legislation outlines the duties of the AI officer to ensure data security, privacy, and compliance with laws (Data Governance). It also stipulates oversight measures and audits for AI systems, supporting transparency and accountability within systems (System Integrity). Lastly, it mandates the development of standards and metrics for AI performance, contributing to benchmarks for robustness. All these aspects are closely intertwined with AI governance and responsible usage, thus demanding a comprehensive approach to scoring across the categories.


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

The text addresses the role of AI across various government activities, ensuring that its application is ethical, secure, and effective. Consequently, it fits under 'Government Agencies and Public Services' as it centers on establishing a framework for AI governance within state operations and enhances the efficiency of services delivered. While it does not directly mention the judicial system or healthcare, the consideration for fairness and audit within government functions can hint at a broader impact affecting those sectors too. However, its primary focus remains on government functions, thereby warranting a higher relevance score in this sector.


Keywords (occurrence): artificial intelligence (36) machine learning (1) automated (12) show keywords in context

New Jersey S3078: Prohibits collecting of certain costs associated with offshore wind projects from ratepayers.

Description: Prohibits collecting of certain costs associated with offshore wind projects from ratepayers.
Summary: This bill prohibits New Jersey ratepayers from being charged for certain costs related to offshore wind projects, aiming to protect consumers from financial burdens associated with these initiatives.
Collection: Legislation
Status date: April 11, 2024
Status: Introduced
Primary sponsor: Holly Schepisi (sole sponsor)
Last action: Introduced in the Senate, Referred to Senate Environment and Energy Committee (April 11, 2024)

Category: None (see reasoning)

The text primarily focuses on legislative measures dealing with offshore wind projects and associated costs for ratepayers, with no direct references to AI technologies or considerations. Thus, none of the categories can be deemed relevant based on their specific definitions. There are no discussions of social impacts related to AI, issues of data governance in AI systems, system integrity concerning AI, or robustness of AI technologies within the context of this text. Overall, the text does not touch on AI topics at all, leading to scores of 1 for all categories.


Sector: None (see reasoning)

The legislation makes no mention or implications regarding the use of AI within the sectors defined, especially concerning political campaigns, governmental AI applications, judicial systems using AI, healthcare AI integration, impacts on private sector labor and employment regarding AI, academic and research institution applications of AI, international standards pertaining to AI, or nonprofit usage of AI. Hence, all sectors receive a score of 1.


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

United States SB4178: Future of Artificial Intelligence Innovation Act of 2024

Description: A bill to establish artificial intelligence standards, metrics, and evaluation tools, to support artificial intelligence research, development, and capacity building activities, to promote innovation in the artificial intelligence industry by ensuring companies of all sizes can succeed and thrive, and for other purposes.
Summary: The Future of Artificial Intelligence Innovation Act of 2024 aims to establish standards and tools for AI, fostering research, development, and innovation across all company sizes to support the AI industry.
Collection: Legislation
Status date: April 18, 2024
Status: Introduced
Primary sponsor: Maria Cantwell (9 total sponsors)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 725. (Dec. 18, 2024)

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

The text discusses the establishment of artificial intelligence standards, evaluation tools, and a safety institute, emphasizing the relevance to Social Impact through its focus on enhancing AI standards for public benefit. It also fits under System Integrity as it addresses measures for ensuring the reliability and security of AI systems through the collaboration of various federal agencies and development of best practices. Data Governance is relevant as the bill includes mandates for developing guidelines related to the secure and ethical use of AI, thus ensuring data practices are considered. Robustness is also pertinent as the text aims to create metrics and benchmarks for evaluating AI performance, including compliance with international standards. Overall, the text aims to enhance the safety, governance, and utility of AI technology, making all categories interconnected and significantly relevant to the legislation.


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

This legislation is relevant across multiple sectors but most prominently in Government Agencies and Public Services as it discusses the application of AI standards and evaluation tools for improving governmental AI service delivery. International Cooperation and Standards also holds relevance due to the mention of partnerships and collaborations with international entities to align AI standards. Academic and Research Institutions are included as the text refers to partnerships with universities for research purposes. The text does not specifically target any sectors such as Politics and Elections or Healthcare, resulting in lower scores for those areas. Overall, it addresses the intersection between AI innovation, government efficiency, and international collaboration.


Keywords (occurrence): artificial intelligence (171) machine learning (1) automated (9) foundation model (1) algorithm (2) show keywords in context

United States SB4932: Department of Energy Quantum Leadership Act of 2024

Description: A bill to amend the National Quantum Initiative Act to provide for a research, development, and demonstration program, and for other purposes.
Summary: The Department of Energy Quantum Leadership Act of 2024 amends the National Quantum Initiative Act to establish a comprehensive program for research, development, and demonstration in quantum technology, enhancing U.S. leadership and workforce in this field.
Collection: Legislation
Status date: Aug. 1, 2024
Status: Introduced
Primary sponsor: Richard Durbin (5 total sponsors)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 633. (Nov. 21, 2024)

Category:
Data Governance
Data Robustness (see reasoning)

The 'Department of Energy Quantum Leadership Act of 2024' has substantial implications for AI, particularly through its explicit mention of machine learning within the context of quantum computing and advanced computational systems. It recognizes the intersection of quantum technologies with AI and machine learning applications, which suggests a direct impact on data processing and decision-making models. The initiative's purpose of advancing quantum science can have clear societal implications in terms of ethical uses and the governance of AI technologies as they converge with quantum capabilities. However, it does not directly address issues related to AI’s social impact, data governance, system integrity, or robustness without exploring their ramifications. Thus, it aligns partially with these categories of legislation but not predominantly in any single focus.


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

This legislation primarily pertains to the academic and research sectors through its focus on developing quantum information science and associated technologies. However, it also impacts governmental and enterprise sectors as it addresses workforce development, commercialization, and public institution collaboration in advancing quantum technology applications, which can indirectly influence AI sectors. The mention of AI and machine learning accelerators suggests a potential overlap with industrial applications but is not limited strictly to corporate practices. Thus, while the primary emphasis is academic, there are moderately relevant lines pertaining to government and private enterprise applications.


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

New Jersey A5036: Establishes Office of Cybersecurity Infrastructure.

Description: Establishes Office of Cybersecurity Infrastructure.
Summary: The bill establishes the Office of Cybersecurity Infrastructure in New Jersey to develop and implement cybersecurity and AI policies, ensuring secure interactions between public and private organizations and residents.
Collection: Legislation
Status date: Nov. 14, 2024
Status: Introduced
Primary sponsor: Robert Karabinchak (2 total sponsors)
Last action: Introduced, Referred to Assembly Science, Innovation and Technology Committee (Nov. 14, 2024)

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

The text discusses the establishment of the Office of Cybersecurity Infrastructure, which is tasked with establishing AI policies for the integration of AI into public and private institutions. The mention of 'AI policies' implies a regulatory framework that could impact social dynamics and governance structures, hence relating to social impact. Data governance is also relevant, as the bill focuses on secure technology integration that could involve data-related legislation. System integrity and robustness may see relevance through the establishment of controls for AI integration. Since the act involves responsibilities for the cybersecurity and integrated AI technologies in state functions, it supports these categories significantly. However, the primary focus remains on the societal impacts of AI through the lens of cybersecurity and governance.


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

The bill is most relevant to the Government Agencies and Public Services sector as it pertains directly to the establishment of a governmental office that oversees cybersecurity infrastructure and the integration of AI in state affairs. It will likely influence all public service sectors through the introduction of AI policies. It has less direct relevance to other sectors such as Politics and Elections, Healthcare, and Private Enterprises, as those contexts are not explicitly covered within the scope of the text.


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

United States SB3875: AI Transparency in Elections Act of 2024

Description: A bill to amend the Federal Election Campaign Act of 1971 to provide further transparency for the use of content that is substantially generated by artificial intelligence in political advertisements by requiring such advertisements to include a statement within the contents of the advertisements if generative AI was used to generate any image, audio, or video footage in the advertisements, and for other purposes.
Summary: The AI Transparency in Elections Act of 2024 mandates that political advertisements disclose the use of artificial intelligence-generated content, enhancing transparency in political communications.
Collection: Legislation
Status date: March 6, 2024
Status: Introduced
Primary sponsor: Amy Klobuchar (2 total sponsors)
Last action: Placed on Senate Legislative Calendar under General Orders. Calendar No. 389. (May 15, 2024)

Category:
Societal Impact
System Integrity (see reasoning)

The text of the AI Transparency in Elections Act of 2024 explicitly addresses the use of artificial intelligence in political advertisements, including definitions and requirements related to generative artificial intelligence. The bill mandates that any advertisement employing content generated or significantly altered by AI must include clear disclaimers. It directly relates to social impact in terms of misinformation and public trust in election processes. The need for accountability in AI-generated media is also emphasized, impacting consumer protection regarding misinformation. Thus, it conveys a strong relevance to both Social Impact and System Integrity, while the relevance to Data Governance and Robustness is less pronounced since the primary focus is on transparency in communications rather than data management or performance benchmarks. The respective scores reflect the identified significance of each area to the text.


Sector:
Politics and Elections (see reasoning)

The legislation focuses on political advertisements and their regulation, particularly in the electoral context. It includes the use of AI in political communication and seeks to enhance transparency to safeguard the integrity of electoral processes, thus making it highly relevant to the Politics and Elections sector. The mention of generative AI elements provides substantial context for regulation within this sector. Other sectors like Government Agencies and Public Services, Judicial System, and Healthcare show minimal direct relevance since the text does not primarily deal with those areas. Scores are allocated based on this evaluation of direct relevance to the respective sectors.


Keywords (occurrence): artificial intelligence (12) machine learning (2) show keywords in context

United States HB7891: Kids Online Safety Act

Description: To protect the safety of children on the internet.
Summary: The Kids Online Safety Act aims to protect children's safety on the internet by mandating high-impact online platforms to implement safeguards against mental health issues, compulsive usage, and exploitative behavior, while ensuring transparency and parental controls.
Collection: Legislation
Status date: April 9, 2024
Status: Introduced
Primary sponsor: Gus Bilirakis (65 total sponsors)
Last action: Ordered to be Reported (Amended) by Voice Vote. (Sept. 18, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

The Kids Online Safety Act explicitly addresses the safety of children on the internet. Although there is limited direct reference to AI technologies, specific aspects relate to how AI-driven personalized recommendation systems impact minors. This necessitates an understanding of the social implications of these technologies, particularly regarding mental health and compulsive usage. The bill implies an awareness of possible AI-related harms (like algorithmic manipulation) and proposes safeguards and transparency, connecting it to social impact. Overall, its relevance to social impact is considerable, while it shows moderate relevance to data governance concerning the management of personal data and algorithms for minors. The need for system integrity measures is recognized but less emphasized, and robustness is not directly addressed. Thus, scores will reflect varying extents of relevance based on these observations.


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

The Kids Online Safety Act pertains primarily to protecting minors in online environments, which encompasses aspects of Government Agencies and Public Services through providing guidelines for online platforms, and additionally touches on Private Enterprises, Labor, and Employment as it regulates the responsibilities of online companies. There is also a potential indirect relevance to Judicial System concerning the legal implications of data protection for minors and consequences for violations. Its connection to Healthcare is less direct, but mental health issues are discussed; however, it does not delve deeply into any medical implementations. Thus, the act has a focus on specific jurisdictions but does not encompass fully any singular sector as per the definitions given.


Keywords (occurrence): machine learning (1) automated (3) recommendation system (6) algorithm (13) show keywords in context
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