All Items
Legislation Only
Regulations and Documents
Legislation
About these categories

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

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

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

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

About these sectors

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

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

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

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

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

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

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

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

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

Clear All

5044 results:


Louisiana HB608: Creates the Louisiana Atmospheric Protection Act (OR SEE FISC NOTE GF EX)

Description: Creates the Louisiana Atmospheric Protection Act (OR SEE FISC NOTE GF EX)
Summary: The Louisiana Atmospheric Protection Act prohibits weather modification activities, establishes the Atmospheric Protection Fund, defines penalties for violations, and intends to safeguard the atmosphere from harmful interventions.
Collection: Legislation
Status date: April 4, 2025
Status: Introduced
Primary sponsor: Kimberly Coates (2 total sponsors)
Last action: Read by title, amended, ordered engrossed, recommitted to the Committee on Appropriations. (May 15, 2025)

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

The text pertaining to the Louisiana Atmospheric Protection Act includes several mentions of 'artificial intelligence' and 'machine learning' in the context of atmospheric activity and weather modification. Given that AI technologies could potentially be applied to weather modification, their governance and limitations are relevant subjects of concern. The act also implies potential social impacts, as it addresses prohibitions on atmospheric modifications that might affect public health and the environment, indicating a concern for societal implications. However, the primary focus seems to be on the environmental and regulatory aspects, leading to moderate rather than high relevance for some categories. Due to the explicit mention of AI terms and the implications for societal and environmental interactions, several categories will receive higher scores.


Sector:
Government Agencies and Public Services
Academic and Research Institutions
Nonprofits and NGOs
Hybrid, Emerging, and Unclassified (see reasoning)

The legislation's scope includes a variety of sectors due to its application in environmental protection and regulation of artificial environmental modifications. The references to AI technologies, particularly in weather modification, could infer its relevance in certain sectors like Government Agencies and Public Services, where oversight is required. However, it lacks direct references to sectors like Healthcare or Judicial System. The impacts on political campaigns and elections also appear to be irrelevant in the context of this text. Thus, the scores reflect its relevance primarily in broader governance contexts rather than in sector-specific applications. Overall, the Government Agencies and NGO sectors show moderate relevance, while others score lower based on insufficient connection to AI or specific applications.


Keywords (occurrence): machine learning (4) show keywords in context

New York S06953: Relates to the training and use of artificial intelligence frontier models; defines terms; establishes remedies for violations.

Description: Relates to the training and use of artificial intelligence frontier models; defines terms; establishes remedies for violations.
Summary: The RAISE Act establishes regulations for the training and use of artificial intelligence frontier models in New York, ensuring safety, transparency, and employee protections, with remedies for violations.
Collection: Legislation
Status date: March 27, 2025
Status: Introduced
Primary sponsor: Andrew Gounardes (2 total sponsors)
Last action: REFERRED TO INTERNET AND TECHNOLOGY (March 27, 2025)

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

The text establishes definitions, protections, and obligations related to the training and use of artificial intelligence frontier models. It explicitly includes terms like 'Artificial Intelligence,' 'frontier model,' and discusses obligations for developers, emphasizing transparency, safety, and the potential risk of critical harm associated with AI systems. This makes it relevant to all categories: Social Impact, Data Governance, System Integrity, and Robustness, as it touches upon the societal implications of AI, management of data related to these models, the integrity of the AI systems themselves, and the performance benchmarks that should be employed.


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

The legislation addresses various sectors significantly, particularly Government Agencies and Public Services, since it is likely that oversight and compliance mechanisms will involve state enforcement through the Attorney General. It is also relevant to Private Enterprises, Labor, and Employment, as it discusses employee protections and obligations for developers, which directly relates to business practices in AI deployment. The legislation does not focus on sectors like Healthcare, Politics and Elections, or Judicial System specifically, but it contains elements relevant to how AI is used more generally in business and public services, without strictly fitting into other sectors. Therefore, relevant sectors are Government Agencies and Public Services, and Private Enterprises, Labor, and Employment.


Keywords (occurrence): artificial intelligence (7) automated (1) foundation model (1) show keywords in context

Cabinet Nominations (Executive Session)

Summary: The bill addresses cabinet nominations under President Trump, emphasizing the selection of experienced individuals to revitalize the economy and national security, and to control federal spending and inflation.
Collection: Congressional Record
Status date: Jan. 23, 2025
Status: Issued
Source: Congress

Category: None (see reasoning)

The text primarily discusses political appointments and the broader economic policies of the Trump administration, with only a brief mention of the potential threats posed by China, particularly in relation to sectors like artificial intelligence, quantum computing, and advanced semiconductors. However, the legislative aspects surrounding AI are not detailed further and thus don't strongly connect to the outlined categories. Overall, the text does not clearly focus on the social impacts of AI, specifics about data governance, system integrity, or efforts toward establishing benchmarks for AI performance.


Sector:
Politics and Elections
International Cooperation and Standards (see reasoning)

The text primarily focuses on cabinet nominations and discusses economic policies, national security, and political themes rather than specific applications or regulations of AI within sectors like healthcare, government, or others. Even though there is a mention of AI in the context of U.S.-China relations, it lacks depth and does not relate to the sectors defined. Therefore, it does not strongly connect to the relevant sectors.


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

Nomination of Lee Zeldin (Executive Session)

Summary: The bill supports the nomination of Lee Zeldin as EPA Administrator, emphasizing his qualifications and intent to prioritize affordable energy, economic growth, and environmental protection.
Collection: Congressional Record
Status date: Jan. 29, 2025
Status: Issued
Source: Congress

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

TRUMP EXECUTIVE ORDERS

Summary: The bill discusses President Trump's executive orders impacting federal spending, arguing for budget cuts and criticizing perceived double standards in congressional responses to executive actions by past presidents.
Collection: Congressional Record
Status date: Jan. 28, 2025
Status: Issued
Source: Congress

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

United States SB1748: A bill to protect the safety of children on the internet.

Description: A bill to protect the safety of children on the internet.
Summary: The "Kids Online Safety Act" aims to enhance the safety of children on the internet by requiring online platforms to implement safeguards, age verification, and transparency measures to protect minors from harm.
Collection: Legislation
Status date: May 14, 2025
Status: Introduced
Primary sponsor: Marsha Blackburn (4 total sponsors)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (Sponsor introductory remarks on measure: CR S2929-2930) (May 14, 2025)

Keywords (occurrence): machine learning (1) automated (3) recommendation system (4) algorithm (15) show keywords in context

Deepseek (Executive Session)

Summary: The bill addresses the need for the U.S. to enhance its artificial intelligence capabilities in response to China's advancements, emphasizing bipartisan investment to maintain competitive edge in AI technology.
Collection: Congressional Record
Status date: Jan. 28, 2025
Status: Issued
Source: Congress

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

United States HB3405: Suspending Transfer of Property for Improper Trump Use Act

Description: To require the Secretary of State to submit to Congress a report regarding the transfer of an aircraft from Qatar, and for other purposes.
Summary: The bill mandates the Secretary of State to report to Congress on the transfer of an aircraft from Qatar to an entity linked to Donald Trump, prohibiting federal funding for such transfers.
Collection: Legislation
Status date: May 14, 2025
Status: Introduced
Primary sponsor: Gregory Meeks (26 total sponsors)
Last action: Referred to the Committee on Foreign Affairs, and in addition to the Committee on Oversight and Government Reform, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned. (May 14, 2025)

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

Artificial Intelligence (Executive Session)

Summary: The bill emphasizes the importance of artificial intelligence (AI) in maintaining U.S. technological leadership and encourages bipartisan efforts to advance AI initiatives in response to global competition.
Collection: Congressional Record
Status date: Jan. 27, 2025
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (1)

BEACON OF PROSPERITY

Summary: The "Beacon of Prosperity" bill addresses the U.S. economic challenges posed by a declining population and increasing debt. It advocates for a talent-based immigration system and policies to enhance productivity and economic growth.
Collection: Congressional Record
Status date: Jan. 23, 2025
Status: Issued
Source: Congress

Category:
Societal Impact
Data Robustness (see reasoning)

The text discusses various economic issues and policies concerning the future of the United States, touching on technology, population growth, and AI. AI is mentioned specifically in relation to its potential benefits for productivity and economic growth. While there are clear ties to economic factors and productivity, the text lacks specific details on ethical concerns, regulatory frameworks, or systemic integrity in AI implementation. As such, the relevance to categories like Social Impact and System Integrity is somewhat limited but still evident. The potential societal implications of AI are implied through discussions on productivity and economic growth, thus affecting the overall societal landscape. Additionally, discussions related to productivity and benchmarks hint at aspects related to Robustness.


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

The text touches on various sectors such as Economics and Labor, specifically discussing the implications of AI and technology on productivity and workforce demographics. However, it does not directly address specific legislation or guidelines, making it less relevant for sectors like Healthcare or Judicial System. AI's role in improving productivity is emphasized, correlating with sectors that revolve around innovation and workforce dynamics. The debates about talent-based immigration and economic policies may be indirect references towards Private Enterprises and Labor, but the connection remains tenuous. The overall scoring reflects a moderate connection to Economic-centered sectors,


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

United States SB1602: A bill to coordinate Federal research and development efforts focused on modernizing mathematics in STEM education through mathematical and statistical modeling, including data-driven and computational thinking, problem, project, and performance-based learning and assessment, interdisciplinary ex...

Description: A bill to coordinate Federal research and development efforts focused on modernizing mathematics in STEM education through mathematical and statistical modeling, including data-driven and computational thinking, problem, project, and performance-based learning and assessment, interdisciplinary exploration, and career connections, and for other purposes.
Summary: The "Mathematical and Statistical Modeling Education Act" aims to modernize mathematics education in STEM by enhancing research and development, fostering interdisciplinary approaches, and improving teaching methods in schools.
Collection: Legislation
Status date: May 5, 2025
Status: Introduced
Primary sponsor: Margaret Hassan (2 total sponsors)
Last action: Read twice and referred to the Committee on Health, Education, Labor, and Pensions. (May 5, 2025)

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

FIX OUR FORESTS ACT

Summary: The Fix Our Forests Act aims to expedite forest management procedures to enhance resilience in overgrown, fire-prone areas while addressing wildfire risks on federal and Tribal lands.
Collection: Congressional Record
Status date: Jan. 23, 2025
Status: Issued
Source: Congress

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

South Carolina H3431: South Carolina Social Media Regulation Act

Description: Amend The South Carolina Code Of Laws By Adding Article 9 To Chapter 5, Title 39 So As To Provide Definitions; To Provide That A Social Media Company May Not Permit Certain Minors To Be Account Holders; To Provide Requirements For Social Media Companies; To Provide That A Social Media Company Shall Provide Certain Parents Or Guardians With Certain Information; To Provide That A Social Media Company Shall Restrict Social Media Access To Minors During Certain Hours; To Provide For Consumer Comp...
Summary: The South Carolina Social Media Regulation Act mandates restrictions on social media usage for minors, including account limitations, data privacy measures, and parental controls, aiming to enhance online safety for children.
Collection: Legislation
Status date: Feb. 20, 2025
Status: Engrossed
Primary sponsor: Weston Newton (16 total sponsors)
Last action: Scrivener's error corrected (May 12, 2025)

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

This legislation is highly relevant to Social Impact, as it specifically addresses the use of AI-driven features in social media platforms, particularly concerning minors. It aims to protect minors from potential harms that can arise from engaging with social media, including compulsive usage, exposure to harmful content, and data privacy concerns. The provisions aimed at regulating how social media companies interact with minors inherently connect to concerns about AI-driven personalized recommendations and targeted advertising, making this category extremely relevant. Data Governance is also relevant, as the bill includes strict regulations on how personal data of minors should be collected, used, and shared, emphasizing the need for accuracy and transparency in data practices, particularly in AI systems that process minors' information. System Integrity has moderate relevance; while it doesn't focus on security protocols, it emphasizes protecting minors from exploitative practices, which can connect to broader notions of system integrity in AI design. Robustness has minimal relevance as there is no direct focus on benchmarks or performance metrics for AI systems established in this legislation. Overall, the bill addresses significant concerns regarding AI's impact on minors and data governance, thus categorizing it under Social Impact and Data Governance as the most relevant categories.


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

The bill has clear implications for the sector of Government Agencies and Public Services, particularly as it pertains to regulating and overseeing social media companies in their interactions with minors. While it does not explicitly address political campaigns or electoral processes (Politics and Elections), it does touch on the regulation of public services for youth safety from online platforms, making it relevant to public service delivery. The Judicial System is not explicitly mentioned, and thus it receives a lower score. In Healthcare, there's no direct focus on AI regulations in that sector, so that receives a lower score too. The bill indirectly affects Private Enterprises, Labor, and Employment, as it requires social media companies to adjust their operational strategies concerning minors, but this doesn't make it highly relevant. Academic and Research Institutions may fall under some implications related to minors but are not a primary focus, thus scoring low. International Cooperation and Standards are not addressed here either. Nonprofits and NGOs, given their potential interest in child protection, could also be slightly relevant. However, no explicit collaborations or regulations outlined in the bill warrant high scores. The emphasis on minors' security positions this bill primarily within Government Agencies and Public Services.


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

Texas SB442: Relating to the prosecution and punishment of the offense of unlawful production or distribution of certain sexually explicit media; increasing a criminal penalty.

Description: Relating to the prosecution and punishment of the offense of unlawful production or distribution of certain sexually explicit media; increasing a criminal penalty.
Summary: The bill enhances penalties for the unlawful production or distribution of deep fake sexually explicit media, requiring consent and defining the offense more clearly to deter misuse.
Collection: Legislation
Status date: March 12, 2025
Status: Engrossed
Primary sponsor: Juan Hinojosa (3 total sponsors)
Last action: Placed on General State Calendar (May 26, 2025)

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

Nevada SB63: Revises provisions relating to social media platforms. (BDR 52-505)

Description: AN ACT relating to social media platforms; requiring each social media platform to establish a system to verify the age of prospective users of the platform in this State; prohibiting a social media platform from allowing certain minors in this State to use the social media platform; requiring a social media platform to obtain the affirmative consent of a parent or legal guardian before authorizing certain minors in this State to use the social media platform; requiring a social media platfor...
Summary: The bill establishes age verification and parental consent requirements for minors using social media platforms in Nevada, aiming to enhance youth online safety by regulating access and data usage.
Collection: Legislation
Status date: Feb. 3, 2025
Status: Introduced
Primary sponsor: Commerce and Labor (sole sponsor)
Last action: Read first time. To committee. (Feb. 3, 2025)

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

The AI-related portions of the text primarily address how social media platforms must treat personal information of minors and do not utilize minors' information in 'algorithmic recommendation systems.' This directly suggests concerns regarding bias and the social impact of automated systems on vulnerable populations, particularly minors. Furthermore, the bill suggests requiring social media platforms to implement age verification systems that leverage technology, hinting at accountability and transparency aspects of AI systems as they relate to social responsibility. The prohibition of the use of personal information in algorithmic systems inherently speaks to efforts against AI-driven discrimination and misinformation, especially in youth-centric environments. These considerations strongly align with the Social Impact category; thus, a high score can be granted. Data Governance also receives significant attention as the legislation explicitly restricts the handling of minors' personal information and seeks compliance with privacy practices. However, it lacks a comprehensive focus on issues like accuracy or bias within data sets, leading to a moderate score in this category. System Integrity is indirectly relevant; however, the text's primary focus on minors and social media platforms may limit its applicability. Robustness appears related only in passing as the text does establish recommendations, but it does not explore performance benchmarks for AI systems nor auditing practices. Therefore, the scores reflect the specific impact on social concerns and some governance aspects, while alignment with other categories varies.


Sector:
Government Agencies and Public Services (see reasoning)

The legislation specifically addresses the implications of AI and technology in managing social media platforms focused on minors. The keyword mentions underscore an intersection with youth safety, which closely ties into concerns about how AI-driven systems can imperil trusted spaces for younger users. Concerning the politics and elections sector, while the text does not directly impact electoral processes or political campaigns, it does influence public dialogue around minors and technology. Government Agencies and Public Services are modestly implicated as the legislation refers to the Department of Health and Human Services establishing regulations for best practices. The judicial system isn't directly addressed in terms of legal precedence with AI; however, implications for civil enforcement provisions may introduce legal contexts. There is very limited to no connection to healthcare, private enterprises or academic institutions within the text, leading to low scores for those sectors. The International Cooperation category is not applicable, nor is there an evident link to non-profits. Meanwhile, the 'Hybrid, Emerging, and Unclassified' category only fits if considering social media as a unique emergent tech context but would not justify high relevance. Overall, the text carries strong implications for government approaches to AI in social media and youth safeguarding, leading to favorable scores for those sectors.


Keywords (occurrence): automated (1) recommendation system (3) show keywords in context

Texas HR1261: Commemorating the opening of the Advanced Manufacturing and Aerospace Center at The University of Texas at El Paso.

Description: Commemorating the opening of the Advanced Manufacturing and Aerospace Center at The University of Texas at El Paso.
Summary: The bill commemorates the opening of the Advanced Manufacturing and Aerospace Center at the University of Texas at El Paso, highlighting its significance for technological innovation and community benefit.
Collection: Legislation
Status date: May 24, 2025
Status: Passed
Primary sponsor: Vincent Perez (sole sponsor)
Last action: Reported enrolled (May 24, 2025)

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

New Hampshire SB263: Criminalizing and creating a private right of action for the facilitation, encouragement, offer, solicitation, or recommendation of certain acts or actions through a responsive generative communication to a child.

Description: Criminalizing and creating a private right of action for the facilitation, encouragement, offer, solicitation, or recommendation of certain acts or actions through a responsive generative communication to a child.
Summary: The bill establishes criminal liability and a private right of action against those who use generative AI communications to encourage children to engage in harmful or illegal activities.
Collection: Legislation
Status date: Jan. 23, 2025
Status: Introduced
Primary sponsor: Sharon Carson (6 total sponsors)
Last action: Ought to Pass with Amendment #2025-0745s, Motion Adopted, Voice Vote; OT3rdg; 03/20/2025; Senate Journal 8 (March 20, 2025)

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

The text explicitly addresses the role of AI technologies, particularly in the context of generative communication with children. It highlights the responsibility and potential liability of AI service providers (like chatbots or large language models) in cases where their systems may facilitate harmful interactions. This establishes a strong relevance to Social Impact, as it pertains to the protection of vulnerable groups (children) from AI-driven misconduct. Data Governance is also important, as it involves secure management of the data transmitted and collected via these AI systems, but it's not the primary focus. System Integrity is relevant since it hints at the need for secure and responsible AI operation to prevent harm, while Robustness is less relevant as the focus is not on performance benchmarks but rather legal accountability and ethics. Overall, the text's emphasis on protecting children aligns strongest with preventing harm caused by AI systems and the accountability of those who develop and operate them.


Sector:
Government Agencies and Public Services (see reasoning)

The bill primarily concerns the use and regulation of AI in communications with children, overlapping significantly with the Government Agencies and Public Services sector. It addresses how state services must handle AI interactions responsibly. However, it does not delve deeply into legislative actions directly affecting politics or elections, the judicial system is indirectly referenced but not a central focus, and healthcare applications of AI are not addressed here. These aspects limit the scores for those sectors. Overall, the focus on generative AI in relation to legal actions and child safety implies a minimal but noticeable connection to public service regulation without direct involvement of the mentioned sectors beyond that.


Keywords (occurrence): artificial intelligence (6) large language model (2) show keywords in context

PUBLICATION OF COMMITTEE RULES

Summary: The bill publishes the rules of the House Committee on Financial Services for the 119th Congress, outlining procedures for meetings, voting, and reporting of measures to ensure transparency and order.
Collection: Congressional Record
Status date: Jan. 23, 2025
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (4) machine learning (1) show keywords in context

LEGISLATIVE SESSION

Summary: The Born-Alive Abortion Survivors Protection Act mandates that healthcare providers must offer appropriate medical care to any baby born alive after an attempted abortion, aiming to protect the rights of newborns.
Collection: Congressional Record
Status date: Jan. 22, 2025
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (1)

EXECUTIVE COMMUNICATIONS, ETC.

Summary: The bill involves a series of executive communications, including regulatory updates and reports from various federal agencies, which are referred to relevant congressional committees for consideration.
Collection: Congressional Record
Status date: Jan. 22, 2025
Status: Issued
Source: Congress

Keywords (occurrence): artificial intelligence (1)
Feedback form