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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.

Clear All

5024 results:


Washington HB1984: Concerning vehicle and operator requirements for autonomous vehicles.

Description: Concerning vehicle and operator requirements for autonomous vehicles.
Summary: The bill establishes vehicle and operator requirements for autonomous vehicles in Washington, mandating human safety operators during operation, adherence to federal standards, and reporting obligations for testing and incidents.
Collection: Legislation
Status date: Feb. 17, 2025
Status: Introduced
Primary sponsor: Shelley Kloba (12 total sponsors)
Last action: Public hearing in the House Committee on Transportation at 1:30 PM. (Feb. 24, 2025)

Keywords (occurrence): automated (2) autonomous vehicle (11) show keywords in context

Pennsylvania SB431: In preliminary provisions, further providing for definitions; and, in procedure, providing for acceptable denials.

Description: An Act amending the act of February 14, 2008 (P.L.6, No.3), known as the Right-to-Know Law, in preliminary provisions, further providing for definitions; and, in procedure, providing for acceptable denials.
Summary: The bill amends Pennsylvania's Right-to-Know Law by defining "artificial intelligence" and "generative artificial intelligence," and allowing agencies to deny records requests that pose cybersecurity risks or are suspected to be generated by AI.
Collection: Legislation
Status date: March 21, 2025
Status: Introduced
Primary sponsor: Tracy Pennycuick (9 total sponsors)
Last action: Referred to COMMUNICATIONS AND TECHNOLOGY (March 21, 2025)

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

The text explicitly defines 'Artificial intelligence' and 'Generative artificial intelligence,' making it highly relevant to discussions around the social impact of AI, particularly in terms of ensuring accurate information and access to public records. It also addresses concerns about AI-generated requests potentially compromising cybersecurity, indicating a need for careful governance of AI data practices. This implies a significant consideration of how AI technologies impact societal functions such as transparency, privacy, and information security. Therefore, Social Impact is rated highly due to its implications for public trust and data management practices. Data Governance is also relevant given the focus on records requests and cybersecurity risks associated with AI. System Integrity and Robustness relate to overall transparency and oversight, particularly regarding the abilities and risks posed by AI-driven processes, thus scoring slightly lower than Data Governance in this instance, given the specific focus on records and definitions rather than direct system performance benchmarks.


Sector:
Government Agencies and Public Services (see reasoning)

The text discusses the use of AI within the framework of government transparency and access to public records, which strongly indicates its relevance to Government Agencies and Public Services. There is no mention of AI use in Politics and Elections, the Judicial System, Healthcare, or other specified sectors, making those irrelevant. The presence of AI-related vocabulary highlights its significance in public services. As such, Government Agencies and Public Services receive a high score, while the other sectors score low due to lack of relevance.


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

North Carolina S315: More Transparency/Efficiency in Utiliz. Rev

Description: More Transparency/Efficiency in Utiliz. Rev
Summary: Senate Bill 315 aims to enhance transparency and efficiency in health care utilization reviews by establishing clearer timelines and communication requirements for insurers, while ensuring compliance with federal regulations.
Collection: Legislation
Status date: March 17, 2025
Status: Introduced
Primary sponsor: Jim Burgin (18 total sponsors)
Last action: Ref to Health Care. If fav, re-ref to Rules and Operations of the Senate (March 18, 2025)

Category:
Societal Impact
System Integrity (see reasoning)

The text touches upon the implications of using artificial intelligence in the healthcare utilization review process. The mention of AI in the context of not allowing it to be the sole basis for making determinations about medical necessity or appropriateness is crucial, as it indicates a direct concern related to both system integrity and social impact. This aligns strongly with the social consequences of AI decision-making, particularly in healthcare where wrong decisions can lead to severe patient outcomes. System integrity is addressed since it focuses on the security and control mechanisms needed in AI applications, ensuring human oversight in healthcare decisions. Data governance is less relevant here as the emphasis is not on data management but rather on decision-making accountability. Robustness is not applicable given that the text does not address performance metrics or benchmarks for AI systems directly. Therefore, Social Impact and System Integrity score the highest relevance for this document.


Sector:
Healthcare (see reasoning)

The text primarily relates to the healthcare sector as it discusses utilization reviews in health insurance and regulations concerning AI in that context. The provisions are specifically aimed at how AI can or cannot be used in healthcare decisions, thus making healthcare the sector with the highest relevance. While some aspects related to transparency might hint towards government regulations, the focus remains deeply rooted in healthcare and patient care, making other sectors like politics or employment much less relevant. Therefore, Healthcare clearly receives the highest score, directly reflecting the context of AI and its prescribed limitations within healthcare utilization reviews.


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

Alabama HB515: Artificial intelligence; regulate use in health coverage decisions.

Description: Artificial intelligence; regulate use in health coverage decisions.
Summary: The bill regulates the use of artificial intelligence in health insurers' coverage decisions, ensuring human oversight by healthcare professionals and allowing patients to seek damages for related injuries.
Collection: Legislation
Status date: April 3, 2025
Status: Introduced
Primary sponsor: Mark Shirey (sole sponsor)
Last action: Pending House Insurance (April 3, 2025)

Keywords (occurrence): artificial intelligence (13) algorithm (6) show keywords in context

SOCIAL SECURITY FAIRNESS ACT OF 2023--Motion to Proceed

Summary: The Social Security Fairness Act of 2023 seeks to repeal provisions that reduce Social Security benefits for retirees who have public service careers, addressing inequities for public servants like teachers and firefighters.
Collection: Congressional Record
Status date: Dec. 12, 2024
Status: Issued
Source: Congress

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

Alabama HB516: Consumer protection, use of a computer to interact with a consumer when consumer believes the interaction is with a human is an unlawful trade practice

Description: Consumer protection, use of a computer to interact with a consumer when consumer believes the interaction is with a human is an unlawful trade practice
Summary: The bill makes it illegal for businesses to use computer technology, such as chatbots or AI, to mislead consumers into believing they are interacting with a human during commercial transactions.
Collection: Legislation
Status date: April 3, 2025
Status: Introduced
Primary sponsor: Prince Chestnut (sole sponsor)
Last action: Pending House Commerce and Small Business (April 3, 2025)

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

United States SB1053: FIGHT China Act of 2025 Foreign Investment Guardrails to Help Thwart China Act of 2025

Description: A bill to protect the national security of the United States by imposing sanctions with respect to certain persons of the People's Republic of China and prohibiting and requiring notifications with respect to certain investments by United States persons in the People's Republic of China, and for other purposes.
Summary: The FIGHT China Act of 2025 aims to safeguard U.S. national security by imposing sanctions on certain Chinese entities and regulating U.S. investments in China, particularly in sensitive technologies.
Collection: Legislation
Status date: March 13, 2025
Status: Introduced
Primary sponsor: John Cornyn (14 total sponsors)
Last action: Read twice and referred to the Committee on Banking, Housing, and Urban Affairs. (Sponsor introductory remarks on measure: CR S1746-1747) (March 13, 2025)

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

Ohio SB164: Regulate the use of artificial intelligence by health insurers

Description: To amend section 3902.50 and to enact section 3902.80 of the Revised Code to regulate the use of artificial intelligence by health insurers.
Summary: This bill regulates the use of artificial intelligence by health insurers in Ohio, ensuring that decisions about medical necessity are made by qualified professionals and require transparency in AI-driven determinations.
Collection: Legislation
Status date: April 1, 2025
Status: Introduced
Primary sponsor: Alessandro Cutrona (sole sponsor)
Last action: Referred to committee: Financial Institutions, Insurance and Technology (April 2, 2025)

Keywords (occurrence): artificial intelligence (5) algorithm (6) show keywords in context

DETECTION EQUIPMENT AND TECHNOLOGY EVALUATION TO COUNTER THE THREAT OF FENTANYL AND XYLAZINE ACT OF 2024

Summary: The "Detection Equipment and Technology Evaluation to Counter the Threat of Fentanyl and Xylazine Act of 2024" mandates the Department of Homeland Security to enhance detection methods for illicit substances, particularly fentanyl and xylazine, focusing on improving law enforcement capabilities.
Collection: Congressional Record
Status date: Dec. 12, 2024
Status: Issued
Source: Congress

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

Text of Senate Amendment 3329

Summary: The "DETECT Fentanyl and Xylazine Act of 2024" aims to enhance the Department of Homeland Security's capabilities in detecting illicit drugs like fentanyl and xylazine through improved technology and research collaboration.
Collection: Congressional Record
Status date: Dec. 12, 2024
Status: Issued
Source: Congress

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

WILDLIFE INNOVATION AND LONGEVITY DRIVER REAUTHORIZATION ACT

Summary: The Wildlife Innovation and Longevity Driver Reauthorization Act reauthorizes and expands various wildlife conservation programs, including multiyear grants for elephant, rhinoceros, tiger, great ape, and marine turtle conservation to enhance long-term strategies for these species.
Collection: Congressional Record
Status date: Dec. 11, 2024
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (136) machine learning (12) automated (33) large language model (1) algorithm (1) show keywords in context

United States HB2152: To require a strategy to defend against the economic and national security risks posed by the use of artificial intelligence in the commission of financial crimes, including fraud and the dissemination of misinformation, and for other purposes.

Description: To require a strategy to defend against the economic and national security risks posed by the use of artificial intelligence in the commission of financial crimes, including fraud and the dissemination of misinformation, and for other purposes.
Summary: The AI PLAN Act mandates a strategy to counter economic and national security risks from AI in financial crimes, including fraud and misinformation, requiring annual reports and recommendations from key government officials.
Collection: Legislation
Status date: March 14, 2025
Status: Introduced
Primary sponsor: Zachary Nunn (2 total sponsors)
Last action: Referred to the House Committee on Financial Services. (March 14, 2025)

Keywords (occurrence): artificial intelligence (8) show keywords in context

Kentucky SB241: AN ACT relating to autonomous vehicles.

Description: Amend KRS 186.763 to extend the requirement for a human driver on a fully autonomous commercial vehicle in excess of 62,000 pounds from July 31, 2026 to July 31, 2031; prohibit school districts from using fully autonomous vehicles as school buses or to transport students; amend KRS 186.779 to allow units of local government to impose conditions on autonomous vehicle operation within their jurisdictions; amend KRS 186.766 and 281.655 to increase all insurance minimum requirement amounts from $...
Summary: The bill regulates the operation of fully autonomous vehicles in Kentucky, allowing them on highways without a human driver, under safety and insurance requirements, while restricting their use as school buses.
Collection: Legislation
Status date: Feb. 18, 2025
Status: Introduced
Primary sponsor: David Yates (sole sponsor)
Last action: to Committee on Committees (S) (Feb. 18, 2025)

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

The text focuses heavily on the operation and regulation of fully autonomous vehicles, which directly ties into the impact of AI on transportation and society at large. The legislative framework establishes criteria for the operation of automated driving systems, reflecting significant considerations regarding accountability, safety, and the societal implications of using such technology. This highlights its relevance to the Social Impact category. Data Governance is also relevant as the text discusses safety compliance and operational standards, which align with data management and security needs for autonomous systems. System Integrity is pertinent because it specifies requirements for operational and performance standards, encompassing transparency in automated driving system functionalities. Robustness has moderate relevance; while it doesn’t focus specifically on performance benchmarks, compliance with federal standards indicates concern for the ongoing accountability of AI systems. Overall, this text primarily pertains to the Social Impact of AI and its regulatory landscape regarding autonomous vehicles, affecting both individual safety and broader societal implications.


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

The text primarily deals with the use and regulation of AI through autonomous vehicles, which intersects with multiple sectors. Politics and Elections has minimal relevance as it doesn't address the use of AI in the electoral process. Government Agencies and Public Services is relevant since it discusses governmental regulation of autonomous vehicles on public roads. The Judicial System is not applicable in this context as there is no mention of legal processing with AI. Healthcare has no relevance as it doesn’t pertain to medical applications. Private Enterprises, Labor, and Employment is moderately relevant since it addresses the implications of autonomous vehicles on business operations and insurance requirements. Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, and Hybrid, Emerging, and Unclassified sectors have little to no relevance in this specific legislation regarding autonomous vehicles. Hence, the most relevant sectors are Government Agencies and Public Services and Private Enterprises, Labor, and Employment.


Keywords (occurrence): automated (7) autonomous vehicle (14) show keywords in context

NOTICE OF ADOPTION OF REGULATIONS AND TRANSMITTAL FOR CONGRESSIONAL APPROVAL

Summary: The bill formalizes regulations under the Congressional Accountability Act to implement the Fair Chance to Compete for Jobs Act, limiting pre-employment criminal history inquiries in legislative branch hiring.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

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

New Jersey A2838: Establishes guidelines for creditworthiness determinations concerning affordable housing programs.

Description: Establishes guidelines for creditworthiness determinations concerning affordable housing programs.
Summary: The bill establishes guidelines for evaluating creditworthiness in affordable housing programs, aiming to prevent discrimination against low- and moderate-income renters by limiting the use of credit scores in lease applications.
Collection: Legislation
Status date: Jan. 9, 2024
Status: Introduced
Primary sponsor: Anthony Verrelli (5 total sponsors)
Last action: Introduced, Referred to Assembly Housing Committee (Jan. 9, 2024)

Category:
Societal Impact
Data Governance (see reasoning)

The text discusses guidelines related to the assessment of creditworthiness for affordable housing programs, specifically regarding the unfair impact of credit assessments on low- and moderate-income households. It touches on issues of discrimination in credit evaluations, particularly concerning African-Americans and other protected classes. While it does mention assessments and algorithms in defining credit scores, the focus remains primarily on social equity and housing access rather than broader social implications of AI technology or algorithmic biases across various sectors. Thus, its relevance to the category of Social Impact stems from its focus on fairness and discrimination related to housing but is less aligned with robust AI-specific frameworks. Data Governance is somewhat relevant as it discusses guidelines on the use of data (credit scores) but lacks deeper specific governance aspects of data integrity or privacy. System Integrity is minimally relevant; although it implies some scrutiny on the evaluation process, it doesn't pertain to the integrity of AI systems. Robustness is not relevant as the text does not mention benchmarks or performance metrics for AI systems.


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

The legislation primarily focuses on creditworthiness in the context of affordable housing applications, making it relevant to the housing sector. While it does touch on social equity and discrimination issues that cross over into various social sectors, the direct ramifications and applications of AI technologies to this bill are limited. Thus, its relevance to Politics and Elections is minimal, and similarly for Judicial System, which it does not address particularly concerning legal assessments. Government Agencies and Public Services is moderately relevant as the bill discusses guidelines that could influence public policies regarding housing assessments. Thus, the most relevant sector is Private Enterprises, Labor, and Employment due to the implications for landlords and tenants, but again falls short of pivotal connections in the broader employment or labor landscape. Other sectors such as Academic Institutions and Nonprofits are less relevant as they do not directly address the key components that pertain specifically to legislation governing their functions.


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

REMEMBERING DR. CHARLIE McMILLAN

Summary: The bill commemorates Dr. Charlie McMillan, honoring his contributions to science, particularly in physics and supercomputing, and recognizes his legacy in public service and community engagement in New Mexico.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

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

North Carolina S738: Digital Content Provenance Initiative/Funds

Description: Digital Content Provenance Initiative/Funds
Summary: The bill establishes the Digital Content Provenance Initiative in North Carolina to create standards for authenticating digital content and combat misinformation from AI-generated media, appropriating $500,000 for implementation.
Collection: Legislation
Status date: March 25, 2025
Status: Introduced
Primary sponsor: DeAndrea Salvador (6 total sponsors)
Last action: Re-ref Com On Appropriations/Base Budget (March 26, 2025)

Keywords (occurrence): artificial intelligence (1) machine learning (1) synthetic media (3) show keywords in context

JOINT EXPLANATORY MATERIAL STATEMENT SUBMITTED BY MR. ROGERS OF ALABAMA, CHAIR OF THE HOUSE COMMITTEE ON ARMED SERVICES, ON HOUSE AMENDMENT TO SENATE AMENDMENT TO H.R. 5009

Summary: The bill, known as the Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025, authorizes $883.7 billion for national defense programs, enhancing servicemember quality of life and national security initiatives.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

Category:
System Integrity (see reasoning)

The text primarily discusses provisions related to the National Defense Authorization Act for Fiscal Year 2025 and includes several mentions of autonomous systems, particularly in the context of military applications. Most notably, it references 'autonomous surface and underwater dual-modality vehicles,' which directly indicates the use of AI. However, the text does not broadly address the societal implications of AI, data management specifics, system integrity, or the establishment of performance benchmarks for AI systems. Consequently, while some relevant elements are present, many aspects of the categories are not fully addressed.


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

The text includes provisions that relate directly to the armed forces and their procurement, suggesting a focus on military applications for AI, particularly in terms of autonomous systems. The mentions of robotic targets and autonomous vehicles indicate relevance to the defense sector but do not extend much beyond this focus. Other sectors such as healthcare, government services, or public policy are not represented in the text.


Keywords (occurrence): artificial intelligence (52) machine learning (7) automated (23) show keywords in context

China (Executive Session)

Summary: The bill aims to enhance transparency regarding U.S. investments in China, particularly in sensitive technologies, to mitigate national security risks tied to China’s military and aggressive economic practices.
Collection: Congressional Record
Status date: Dec. 10, 2024
Status: Issued
Source: Congress

Category:
Societal Impact
Data Governance (see reasoning)

This document heavily discusses the implications of AI in the context of U.S. investment in China, posing it as a national security threat. The reference to AI as a sensitive technology that could be used against the U.S. implies significant concerns around its impact on society, accountability, and the dangers of transferring AI capabilities to an adversarial state. Therefore, there are strong implications regarding social impact and the governance of AI. There is also mention of the risks associated with AI use in military-civil fusion, reinforcing these concerns. However, the document does not specifically discuss the integrity or robustness of AI systems themselves, nor does it address benchmarks or performance standards for AI.


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

The text explicitly mentions AI in relation to national security and investments, framing it as a critical area of concern. It relates to government oversight regarding AI investments and the implications of these technologies for international relations and safety. While there is some discussion on the influence of AI in military settings which could relate to the Government Agencies and Public Services sector, the primary focus is more on national security and less on specific sectors like Healthcare or Judicial System. The absence of focused mention on judicial, healthcare, or academic concerns indicates that the relevance is concentrated primarily on Government Agencies and national security aspects.


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

United States HR255: Of inquiry requesting the President and directing the Secretary of State to transmit to the House of Representatives any record created on or after January 20, 2025, under the control of the President or the Secretary, respectively, relating to strikes on the Houthis in Yemen and the disclosure o...

Description: Of inquiry requesting the President and directing the Secretary of State to transmit to the House of Representatives any record created on or after January 20, 2025, under the control of the President or the Secretary, respectively, relating to strikes on the Houthis in Yemen and the disclosure of confidential information to a journalist on the Signal application.
Summary: The bill requests the President and Secretary of State to provide the House of Representatives with records related to strikes on the Houthis in Yemen and disclosures to a journalist, aiming for transparency and accountability.
Collection: Legislation
Status date: March 26, 2025
Status: Introduced
Primary sponsor: Gregory Meeks (24 total sponsors)
Last action: Referred to the House Committee on Foreign Affairs. (March 26, 2025)

Category:
Data Governance
System Integrity (see reasoning)

The text contains references to artificial intelligence specifically in the context of requesting the transmission of 'artificial intelligence large language model conversation transcripts.' This indicates a connection to both the Data Governance category, which includes managing data within AI systems, and System Integrity, which encompasses security and transparency in data usage involving AI. However, the primary focus of the text is on governmental transparency and military actions, which does not deeply engage with the broader implications of AI on society or the specific integrity of AI systems. Overall, the relevance to Social Impact and Robustness is minimal, while Data Governance and System Integrity are more relevant due to the mention of using AI in governmental contexts and the implications of handling AI-generated data.


Sector:
Government Agencies and Public Services (see reasoning)

The text is focused on governmental transparency and the processes related to military strikes and communication among government officials. While it mentions AI in the context of conversation transcripts, it does not specifically address how AI operates or impacts the broader sectors listed. The implications of data governance through the lens of military and government practices give it some relevance to Government Agencies and Public Services, but without explicit mention of AI applications in public service delivery, it remains only moderately relevant. The legislation does not pertain strongly to sectors like Politics and Elections, Judicial System, Healthcare, or any of the other defined sectors beyond the governmental context.


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