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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

5017 results:


Adding, updating, and removing measures.

Summary: The bill reforms the Centers for Medicare & Medicaid Services' (CMS) process for adding, updating, and removing Star Rating measures, ensuring data quality and performance alignment with national standards.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance
System Integrity (see reasoning)

This text primarily concerns the processes involved in calculating the Star Ratings for Medicare and Medicaid services. It details the methods for adding, updating, and removing measures, which involves data assessments and potential adjustments that seemingly rely on statistical methods and algorithms, albeit indirectly related to AI. However, the reference to 'clustering algorithms' hints at the use of algorithmic mechanisms that can be associated with AI. The main emphasis seems to be on data governance and integrity regarding health performance metrics rather than direct AI applications, indicating a need for careful consideration of data sources and processing methods, which encompasses the Data Governance category. The System Integrity category is also relevant as it addresses accuracy, reliability, and validity of measures and performance data, which can implicitly relate to controls and security procedures in AI, but not with enough explicit relevance to score highly. Social Impact seems less relevant, as while the outcomes may affect population health, the document does not discuss societal implications directly. Robustness is not significantly addressed since there is no mention of AI benchmarks or performance metrics in AI systems specifically.


Sector:
Healthcare (see reasoning)

The content of this text is closely related to the healthcare sector as it discusses the Star Ratings system for Medicare and Medicaid, focusing on performance metrics, data integrity, and management strategies which are significant for healthcare-based AI applications and evaluations. The discussions surrounding data collection and performance measures are specifically relevant to healthcare systems. Although the text does not address AI utilization in political or legal systems, the healthcare-specific focus aligns it closely with this sector. There is little to no mention of the other sectors outlined, thus they are rated as not relevant.


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

Procedures.

Summary: The bill establishes guidelines for assigning Procurement Instrument Identifiers (PIID) within the Department of Defense, ensuring unique identifiers for contracts and proper modification tracking.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provided primarily describes procedural regulations related to procurement instrument identifiers (PIIDs) and does not make explicit references to Artificial Intelligence (AI) or any of its related terminologies. Therefore, it does not clearly address any social impact of AI, data governance issues surrounding AI, system integrity related to AI processes, or robustness in AI performance metrics. Given that there are no mentions of AI technology or its implications, all categories are rated low on relevance.


Sector: None (see reasoning)

The text discusses procurement procedures related to government contracts and identifiers but does not mention AI applications in any of the specified sectors. Furthermore, it lacks content discussing regulations specific to politics, government services, healthcare, or any other domains listed. Thus, it is not relevant to the sectors presented, and each sector is rated as not relevant.


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

Definitions.

Summary: The bill establishes definitions and requirements for tariff publications by common carriers and conferences under the Shipping Act. Its purpose is to ensure transparency and accessibility of shipping rate information for shippers and oversight by the Federal Maritime Commission.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily defines terms related to the Shipping Act and the functioning of common carriers in maritime transportation. It does not mention AI or any relevant concepts that connect to its categories such as Social Impact, Data Governance, System Integrity, or Robustness. Therefore, the relevance to AI-related aspects is non-existent.


Sector: None (see reasoning)

The text deals with the Shipping Act and definitions concerning maritime law and the obligations of common carriers. It does not address any specific issues related to the sectors outlined. There are no references to the use or regulation of AI in Politics and Elections, Government Agencies, the Judicial System, Healthcare, Private Enterprises, Academic Institutions, International Standards, Nonprofits, or any Hybrid or Emerging sectors.


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

Operating Limits for Capture Systems and Add-On Control Devices

Summary: The bill establishes operating limits and compliance procedures for capture systems and add-on control devices in spray booths to reduce volatile organic compound emissions in automobile and light-duty truck coatings.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily discusses regulations and operating limits regarding environmental protection in the context of emissions capture systems and control devices. The text does not explicitly mention Artificial Intelligence or any related technologies. It focuses on procedural and efficiency mandates for reducing volatile organic compounds in spray booths, which does not have a direct impact on the categories of Social Impact, Data Governance, System Integrity, or Robustness as defined. As such, the relevance of the text to these categories is low.


Sector: None (see reasoning)

The text pertains to environmental regulations and operational standards for emission controls within manufacturing processes rather than areas directly related to the specified sectors like Politics and Elections, Government Agencies and Public Services, or Healthcare. There are no references to AI applications or regulations in the context of government services, judicial systems, or healthcare settings, nor any implications for nonprofit organizations or international standards in AI. Therefore, the relevance across all sectors is minimal.


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

STATEMENTS ON INTRODUCED BILLS AND JOINT RESOLUTIONS

Summary: The Artificial Intelligence Research, Innovation, and Accountability Act of 2023 establishes a framework for AI innovation and accountability, promoting research, transparency, and risk management concerning AI systems and their societal impacts.
Collection: Congressional Record
Status date: Nov. 15, 2023
Status: Issued
Source: Congress

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

The text primarily addresses multiple aspects related to artificial intelligence, including its innovation, accountability, and the implementation of associated standards and regulations. This is crucial for understanding the societal impact of AI, as it explicitly outlines provisions for transparency, risk management of AI systems, and methods to mitigate risks posed by AI technologies. The bill's emphasis on accountability and the establishment of guidelines is directly relevant to the assessment of AI's social impact, thereby reinforcing the importance of user protections and ethical considerations. Additionally, components regarding data authenticity and content provenance signify a clear connection to data governance, as they detail the handling and standardization of AI-generated content.


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

The text contains significant references to various sectors where AI is beneficial but also poses potential risks. For instance, it discusses the implications of AI in governmental operations as it aims to improve the efficiency of Federal Government services. Additionally, the provisions on generative AI transparency and accountability relate to the broader context of ensuring ethical use within industry sectors, indicating relevance to Private Enterprises and Government Agencies. The bill also mentions critical-impact AI systems, aligning it with legislative frameworks that affect judicial and healthcare systems. This implies a structure that intersects with multiple sector-related legal and operational frameworks, reflecting on the roles these institutions may assume in mitigating AI-related risks.


Keywords (occurrence): artificial intelligence (125) automated (1) foundation model (1) show keywords in context

Constitutional Authority and Single Subject Statements for H.R. 5808

Summary: The bill H.R. 5808 asserts Congress's authority to legislate on artificial intelligence, emphasizing its single subject focus on this technology.
Collection: Congressional Record
Status date: Sept. 28, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text specifically mentions 'Artificial Intelligence,' which indicates it is directly relevant to the domain of AI. However, it does not provide specific context on the social implications, data governance measures, system integrity, or robustness of AI. Thus, while it is relevant to AI, the absence of elaboration on the impacts or regulatory requirements leads to a more moderate relevance across the categories. Since the text primarily names AI without further elaboration, its connection to the categories can only be rated on the basis of potential implications rather than detailed associations.


Sector: None (see reasoning)

The text does not provide specific information regarding sectors that would involve regulation or implications of AI use in contexts like politics, government services, healthcare, or any other predefined sector. It solely identifies AI as a subject of legislation without elaboration on sector-specific applications or impacts. Therefore, relevance to the sectors is minimal, making it largely irrelevant across the board.


Keywords (occurrence): artificial intelligence (1)

Beneficiary access to and exchange of data.

Summary: The bill mandates states to implement an API for beneficiaries to access health data easily and securely, ensuring transparency and compliance with performance goals for CHIP programs.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance (see reasoning)

The text primarily focuses on data governance related to access and exchange of healthcare data within the CHIP program. It outlines requirements for states regarding data collection, maintenance, and reporting, emphasizing the importance of privacy and security as it pertains to the handling of sensitive healthcare information, which falls within the Data Governance category. The text does not address social impact, system integrity, or robustness of AI systems directly, thus limiting its relevance to these categories.


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

The text specifically pertains to the healthcare sector, detailing how states must implement and manage systems (APIs) to provide beneficiaries access to their health information. It includes guidelines about handling claims data, encounter data, clinical data, and privacy-related concerns tied to healthcare delivery. Other sectors such as politics, government services, judicial system, and international cooperation are not directly addressed and thus receive lower scores.


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

Content and Syntax for Papaha

Summary: The bill establishes reporting requirements for vessels entering and exiting specific marine areas, aiming to improve maritime safety and environmental protection through precise communication protocols.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provided is a legislative document focused primarily on navigation reporting systems specific to certain regions. It includes specifications for data collection and reporting formats, but it lacks any explicit mention or consideration of AI-related technologies or concepts. None of the keywords related to AI (such as Artificial Intelligence, Machine Learning, etc.) are present in the text, indicating no relevance to the areas concerned with social impact, data governance, system integrity, or robustness concerning AI. Thus, all categories are scored as not relevant.


Sector: None (see reasoning)

Similar to the category reasoning, there is no mention of AI in the context of politics, public services, judicial systems, healthcare, private enterprises, academic institutions, international cooperation, NGOs, or emerging sectors. The document strictly relates to maritime navigation and reporting, which does not touch upon AI or its implications in any of the predefined sectors. Therefore, all sectors receive a score of 1 for not relevant.


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

United States SB153: Fair Trade with China Enforcement Act

Description: A bill to safeguard certain technology and intellectual property in the United States from export to or influence by the People's Republic of China and to protect United States industry from unfair competition by the People's Republic of China, and for other purposes.
Summary: The Fair Trade with China Enforcement Act aims to protect U.S. technology and intellectual property from Chinese influence and unfair competition, while implementing restrictions on Chinese investments in strategic industries.
Collection: Legislation
Status date: Jan. 30, 2023
Status: Introduced
Primary sponsor: Marco Rubio (sole sponsor)
Last action: Read twice and referred to the Committee on Finance. (Jan. 30, 2023)

Category:
Societal Impact (see reasoning)

The text discusses the safeguarding of technology and intellectual property concerning potential threats from the People's Republic of China, specifically addressing 'Artificial Intelligence' as part of the sectors targeted by China's Made in China 2025 initiative. This aligns closely with the 'Social Impact' category as it touches on potential implications of AI development and competition affecting U.S. industries and national security. The focus on safeguarding against foreign influence relates to the ethical considerations surrounding AI technology. However, the representation of AI as a component of broader economic interests somewhat limits its direct relevance, leading to a score of 4 for 'Social Impact'. The 'Data Governance' category is indirectly relevant as it deals with intellectual property concerns; however, it does not explicitly cover data management practices or consumer privacy, resulting in a score of 2. The 'System Integrity' category does not find significant support in this text since it does not address system security measures or oversight; thus, it scores a 1. Finally, the 'Robustness' category is minimally relevant as it does not focus on performance benchmarks or regulatory compliance of AI systems, leading to a score of 1.


Sector: None (see reasoning)

While the text does mention Artificial Intelligence in the context of U.S.-China trade, it does not focus on specific applications of AI within the given sectors. The relevance to 'Politics and Elections' is minimal despite the implications of trade policies on political relations, leading to a score of 2. 'Government Agencies and Public Services' could be relevant due to potential impacts on trade policy for public service provisions, but this is indirect, resulting in a score of 2. The 'Judicial System' does not appear to be addressed at all, scoring a 1. In terms of 'Healthcare', 'Private Enterprises, Labor, and Employment', and 'Academic and Research Institutions', the implications are either indirect or absent, scoring 1 across these sectors. The text touches on 'International Cooperation and Standards' through trade policies but lacks depth, scoring a 2 due to the mention of legislations affecting international trade. Nonprofits and NGOs have no direct mention or connection to the text, leading to a score of 1. The text may lean toward 'Hybrid, Emerging, and Unclassified' given its broader content, resulting in a score of 2.


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

How Do We Encourage Greater Flood Insurance Coverage in America?

Summary: The bill addresses the need for enhanced flood insurance coverage in the U.S. by exploring regulatory hurdles, increasing private market participation, and raising public awareness about flood risks.
Collection: Congressional Hearings
Status date: March 10, 2023
Status: Issued
Source: House of Representatives

Category: None (see reasoning)

The text primarily discusses flood insurance and its criticalities, focusing on regulatory hurdles, consumer awareness, and the importance of long-term program reauthorization. However, there is no mention or implication of AI or any AI-related technologies. Thus, it does not fit in any of the categories as it lacks relevance to AI's societal impacts, data governance, integrity, or robustness.


Sector: None (see reasoning)

The text is focused on flood insurance coverage and hearing proceedings related to the National Flood Insurance Program (NFIP). While it mentions the complexities involved in managing flood risks and the need for legislative action, it does not specifically address any sector that uses or is regulated by AI. Therefore, all sectors are deemed not relevant.


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

INTRODUCTION OF BILLS AND JOINT RESOLUTIONS

Summary: The bill introduces multiple legislative proposals, including payments to Air America employees, amendments to labor laws, freezing Iranian funds, and various other initiatives addressing health, immigration, and environmental issues.
Collection: Congressional Record
Status date: Oct. 17, 2023
Status: Issued
Source: Congress

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

The text references a bill (S. 3050) that prominently addresses regulations concerning artificial intelligence in the financial services industry and the military context. This establishes a clear relationship to all four categories of legislation regarding the social impact, data governance, system integrity, and robustness of AI. The keywords related to AI regulation directly connect to societal risks, the governance of data within AI systems, integrity issues regarding responsible use, and the robustness of AI systems to ensure effective regulatory compliance.


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

The text refers to congressional bills that involve artificial intelligence in several sectors. Notably, S. 3050 involves AI regulation within the financial services and military applications, which affects government agencies and public services. The use of AI in these settings impacts multiple sectors, highlighting the importance of its implications within governance, public administration, and potentially within the justice system. As such, the relevant sectors mentioned are strongly represented.


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

Daily Digest/CONGRESSIONAL PROGRAM AHEAD

Summary: The bill outlines the congressional schedule for the week of April 18-21, 2023, detailing nominations, budget hearings, and committee meetings in both the Senate and House.
Collection: Congressional Record
Status date: April 17, 2023
Status: Issued
Source: Congress

Category:
Societal Impact
Data Robustness (see reasoning)

The text references a congressional calendar detailing various committee meetings and their agendas. Notably, it includes a hearing by the Subcommittee on Cybersecurity on artificial intelligence and machine learning applications to enable cybersecurity. This suggests a direct engagement with AI technologies and raises considerations around their impact and governance. Thus, the categories of Social Impact and Robustness, which deal with the implications of AI systems and their performance benchmarks, are relevant. However, there is less emphasis on specific data governance or system integrity issues within the text, leading to those categories being less relevant.


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

The text outlines legislative activities across several committees, with the most pertinent information regarding AI occurring in the cybersecurity committee. Given that this committee's focus might entail implications for both the private sector and public services in relation to cybersecurity measures (including potentially AI-related safeguards), the Government Agencies and Public Services sector receives moderate relevance. Additionally, the focus on AI within cybersecurity indirectly relates to labor and employment issues, particularly in technology sectors. Other sectors, however, such as Healthcare, have no explicit mention of AI applications, leading to lower relevance scores for those areas.


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

PTC Safety Plan content requirements.

Summary: The bill outlines requirements for Positive Train Control Safety Plans (PTCSP) to enhance railroad safety, emphasizing hazard identification, risk assessment, and monitoring procedures for the PTC system.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
System Integrity (see reasoning)

The text primarily centers around the safety plan requirements for the Positive Train Control (PTC) systems relevant to railroads. It contains specifications on program development, risk assessments, safety assurances, and procedures to ensure mitigation of hazards. Though it does not explicitly mention artificial intelligence, automated systems are highly implied within the operation of PTC systems, which may entail algorithmic processes and automated decision-making. Since AI may play a role in the functioning of such systems, the relevance to 'System Integrity' is notable. However, without explicit AI terms, other categories receive lower relevance scores, relying on a broader interpretation of safety and automation impacts. The absence of direct references to societal effects from AI systems makes 'Social Impact' less applicable. The lack of data governance specifics regarding biases or accuracy within AI systems results in a low score for 'Data Governance.' Similarly, there are no benchmarks or compliance metrics stated for AI performance, leading 'Robustness' to also receive a low score.


Sector:
Government Agencies and Public Services (see reasoning)

The PTC safety plan is directly relevant to the 'Government Agencies and Public Services' sector as it involves regulations set forth by the Federal Railroad Administration (FRA) concerning railroad safety and operations. The text details the oversight of PTC systems, which are crucial for public safety in transportation. There is, however, no specific mention of judicial regulations and the healthcare sector isn't touched upon. The applicability to private enterprises is indirect since it primarily concerns regulatory measures rather than business operations. Overall, 'Government Agencies and Public Services' receives a high score, while other sectors either relate tangentially or not at all, leading to lower scores across the board.


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

Unattended station operation.

Summary: The bill allows broadcast stations to operate unattended, streamlining emergency broadcasting procedures while ensuring compliance with the Emergency Alert System regulations for public safety.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text focuses primarily on regulations for the operation of broadcasting stations during emergencies, particularly in relation to the Emergency Alert System (EAS). While aspects of automation in broadcasting are discussed, such as unattended operation which may imply the use of automated systems, there is no explicit reference to AI technologies or algorithms as defined in the provided keywords. Therefore, the relevance to the categories is minimal. The operational aspects do touch on compliance and monitoring, but they are primarily related to safety and technical standards rather than the societal implications of AI or governance of AI systems.


Sector: None (see reasoning)

The text discusses broadcasting regulations primarily focused on emergency operations, which indirectly pertains to government agencies and public services in managing broadcasts during emergencies. Nonetheless, it does not engage extensively with AI or its specific applications within governance or public services. Thus, the relevance is minor and does not strongly align with any of the predefined sectors.


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

Getting Nowhere: DOD's Failure to Replace the Defense Travel System

Summary: The bill details a House Subcommittee hearing addressing the Department of Defense's failure to replace its outdated travel system, highlighting financial waste and lack of accountability. It aims to seek answers and push for modernization.
Collection: Congressional Hearings
Status date: July 26, 2023
Status: Issued
Source: House of Representatives

Category:
System Integrity (see reasoning)

The text primarily discusses the failures of the Department of Defense (DoD) in modernizing its travel system, citing issues related to IT acquisition and management. Although there are mentions of 'artificial intelligence' and 'data analytics', these terms are used to highlight the gap between DoD capabilities and commercial technologies rather than addressing the social impact of AI, data governance, system integrity, or robustness in a direct manner. Therefore, while some aspects touch on AI, they do not sufficiently pertain to the core themes of the categories that emphasize legislation and accountability pertaining specifically to AI systems. As such, the relevance of the categories is limited. The text does not delve into how AI impacts society, how data is managed, the integrity of AI systems, nor the establishment of benchmarks for AI performance. Hence, it is scored accordingly.


Sector:
Government Agencies and Public Services (see reasoning)

The document is primarily about a congressional hearing regarding the Department of Defense's issues with their travel system rather than discussing the role of AI in the context of politics or service delivery within government. While the hearing discusses governance and accountability, it does not directly relate to the application of AI across most sectors mentioned. The closest relevance might be to Government Agencies and Public Services due to its focus on DoD operations, but the total absence of detailed discussions around AI applications in these contexts limits the relevance significantly for the other sectors as well.


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

California AB863: Carpet and flooring recycling: producer responsibility organizations: fines: succession: training.

Description: An act to add Section 42983.5 to, and to add Chapter 19.5 (commencing with Section 42968) to Part 3 of Division 30 of, the Public Resources Code, relating to recycling.
Summary: This bill establishes a Flooring Producer Responsibility Program in California, requiring manufacturers to join a collective organization for recycling carpets and flooring, ensuring proper waste management and achieving a 25% recycling rate by 2030.
Collection: Legislation
Status date: May 30, 2023
Status: Engrossed
Primary sponsor: Cecilia Aguiar-Curry (2 total sponsors)
Last action: From committee chair, with author's amendments: Amend, and re-refer to committee. Read second time, amended, and re-referred to Com. on APPR. (Aug. 7, 2024)

Category: None (see reasoning)

The text predominantly pertains to recycling and producer responsibility in the context of carpets and flooring, with no explicit focus on artificial intelligence or related technologies such as algorithms or machine learning systems. While there is a mention of using innovative and advanced technologies, the lack of detail about AI-specific applications suggests that the relevance to the defined AI categories is minimal. Therefore, all categories receive low scores. Specifically, the absence of discussions around social impacts like AI-driven discrimination, data governance issues concerning AI datasets, system integrity for AI processes, or robustness concerning AI benchmarks indicates a disconnect from the themes associated with AI. The text primarily centers on regulatory measures around recycling and producer responsibility rather than the intersections of these themes with artificial intelligence.


Sector: None (see reasoning)

The text focuses on the regulation of carpet and flooring recycling and producer responsibility organizations. While there is mention of legal compliance and the involvement of various stakeholders, including manufacturers and regional organizations, it doesn’t specifically address the nuances of AI in these sectors. Thus, the text does not significantly relate to any individual sector’s specific legislative concerns about the use of AI, such as politics and elections, public services, healthcare, or other defined sectors. The relevance remains minimal across all sectors.


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

What is an automated Standard or Optional format?

Summary: The bill outlines definitions and procedures for Standard and Optional forms used by federal agencies, promoting their automation and electronic submission to enhance efficiency and compliance with regulations.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance (see reasoning)

The text discusses standard and optional forms within government documentation, specifically focusing on automated formats of these forms. However, it does not dive into the socio-ethical implications of AI or the governance of the technology itself; it is more procedural and administrative regarding forms used in government agencies. Therefore, the connection to 'Social Impact' and 'Robustness' is minimal. Under 'Data Governance,' the emphasis is on managing information through proper use of electronic forms but lacks specifics regarding data protection or biases in data management, leading to a moderate relevance. 'System Integrity' is slightly relevant due to mentions of compliance with regulations but doesn't address security measures directly related to AI systems. Overall, the text's focus is on administrative and procedural aspects rather than AI's broader implications.


Sector:
Government Agencies and Public Services (see reasoning)

The text primarily deals with the management of standard and optional forms within the governmental context. Within the provided sectors, the relevance to 'Government Agencies and Public Services' is moderate as it discusses procedures that affect how agencies handle forms electronically. However, it does not demonstrate specific applications of AI in these sectors otherwise covered, meaning it does not highly pertain to any significant impacts on 'Politics and Elections,' 'Judicial System,' or other sectors listed. Thus, the highest score pertains moderately to the use of forms in government operations and service delivery.


Keywords (occurrence): automated (4) show keywords in context

What definitions apply to the regulations in Subchapter B?

Summary: The bill outlines regulations for federal records management, defining procedures for determining the temporary or permanent value of records and establishing the responsibilities of federal agencies to manage these records effectively.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text largely focuses on the definitions and regulations regarding federal record management and the procedures to determine the value of federal records. It does not explicitly reference artificial intelligence or any related concepts that would connect it to the Social Impact, Data Governance, System Integrity, or Robustness categories. There are no discussions about the implications of AI on records management, security measures, or the quality of AI systems in relation to these processes. Therefore, this text is not applicable to any of the categories presented.


Sector: None (see reasoning)

The text does not specifically address any of the designated sectors, such as Politics and Elections, Government Agencies and Public Services, or Healthcare, as it does not mention the use or regulation of AI in these areas. It lacks any references to AI's impact or application in the context of these sectors, as it primarily discusses federal record definitions and management. Therefore, it is deemed not relevant to any sector.


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

New York A07501: Creates a state office of algorithmic innovation to set policies and standards to ensure algorithms are safe, effective, fair, and ethical, and that the state is conducive to promoting algorithmic innovation.

Description: Creates a state office of algorithmic innovation to set policies and standards to ensure algorithms are safe, effective, fair, and ethical, and that the state is conducive to promoting algorithmic innovation.
Summary: The bill establishes a New York state office of algorithmic innovation to develop policies ensuring algorithms are safe, fair, and ethical, while promoting technological advancements.
Collection: Legislation
Status date: May 25, 2023
Status: Introduced
Primary sponsor: Jenifer Rajkumar (4 total sponsors)
Last action: referred to science and technology (Jan. 3, 2024)

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

The text establishes a state office of algorithmic innovation, which explicitly focuses on ensuring that algorithms (which include AI) are safe, effective, fair, and ethical. This indicates a commitment to understanding and managing the social impact of AI systems, thus directly linking this text to the Social Impact category. Additionally, the mention of setting standards and policies for algorithms implies a concern for the data utilized within these systems, making the Data Governance category relevant as well. Given the focus on oversight, safety, and policy, this legislation is less about the technical robustness of the algorithms themselves and more about their application and governance. Therefore, both System Integrity and Robustness are not as prominently featured, but the text does touch on the integrity of algorithmic processes through auditing and the establishment of standards. Overall, the strong emphasis on ethical and fair use of algorithms supports high relevance in Social Impact and moderate relevance in Data Governance; lesser relevance in System Integrity and Robustness.


Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)

The text presents a framework for managing the use of algorithms within the state, which could impact multiple sectors. The focus on ethical standards and safety in algorithm deployment may have implications for Government Agencies and Public Services, but given the broad nature of the text which encompasses state operations and societal implications, it does not exclusively target any one sector such as Healthcare or Private Enterprises. Thus, the relevance is moderate across various sectors, particularly in how algorithms could be applied or regulated particularly affecting government operations and slightly impacting political policies and public discourse.


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

Illinois HB1002: IDPH-DIAGNOSTIC ALGORITHM

Description: Amends the University of Illinois Hospital Act and the Hospital Licensing Act. Provides that before using any diagnostic algorithm to diagnose a patient, a hospital must first confirm that the diagnostic algorithm has been certified by the Department of Public Health and the Department of Innovation and Technology, has been shown to achieve as or more accurate diagnostic results than other diagnostic means, and is not the only method of diagnosis available to a patient. Amends the Medical Pat...
Summary: The bill requires hospitals to ensure diagnostic algorithms are certified and accurate, and mandates patient consent and notification before use, ensuring alternatives are available.
Collection: Legislation
Status date: Jan. 12, 2023
Status: Introduced
Primary sponsor: Mary Flowers (sole sponsor)
Last action: Rule 19(a) / Re-referred to Rules Committee (May 19, 2023)

Category:
Societal Impact
Data Governance (see reasoning)

The IDPH-Diagnostic Algorithm text primarily addresses legislation related to the use of diagnostic algorithms in healthcare settings. This directly impacts clinical practices, patient rights, and the accountability of healthcare institutions when implementing AI-driven processes like diagnostic algorithms. As such, the text is highly relevant to the Social Impact category due to its implications on patient consent and rights. The Data Governance category is also notably relevant because it involves the management and certification of data-driven tools used for diagnostics, ensuring these algorithms meet accuracy and safety standards. However, while System Integrity could be considered, the text primarily focuses on the procedural aspects rather than the security or control of the algorithms themselves. Robustness seems less relevant as it does not mention performance benchmarks or compliance with broader standards. Overall, the legislation carries significant implications for society and data management but has a limited focus on system integrity and robustness.


Sector:
Healthcare (see reasoning)

This text is explicitly tied to the Healthcare sector, as it involves the use of diagnostic algorithms within hospitals. By requiring that these algorithms be certified and demonstrating accurate results, the legislation directly affects how healthcare providers can employ AI in clinical settings. The text does not mention aspects related to politics and elections, governmental operations outside healthcare, or other sectors like private enterprise or international cooperation. Hence, the relevance is overwhelmingly centered on healthcare, receiving a high score in that area while other sectors receive lower scores for their lack of direct connection.


Keywords (occurrence): algorithm (21) show keywords in context
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