5057 results:
Summary: The bill establishes health IT certification criteria for electronic health record systems, focusing on functionalities like clinical decision support, medication management, and patient demographics to enhance healthcare interoperability and safety.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The "Orbital Sustainability Act of 2023" aims to create a demonstration program for actively remediating orbital debris, establishing uniform standards for a sustainable space environment, and enhancing safety in low-Earth orbits.
Collection: Congressional Record
Status date: Oct. 31, 2023
Status: Issued
Source: Congress
The text primarily addresses the operational and regulatory aspects of orbital debris management and remediation within the space domain. It does not contain substantial references to Artificial Intelligence (AI) or related technologies that directly affect categories such as Social Impact, Data Governance, System Integrity, or Robustness. The focus remains on active debris remediation, safety, and sustainability of space operations rather than any analysis, performance metrics, or benchmarks typically associated with AI legislation. Therefore, the relevance of AI-related categories to the text is low.
Sector: None (see reasoning)
The text describes legislative actions regarding orbital debris management but does not specifically address its relevance to sectors like Politics and Elections, Government Agencies, etc. It involves governmental activities relating to space operations but lacks any significant emphasis on how AI impacts those sectors. The terminology used relates to space legislation rather than distinct sectors like healthcare or the judicial system, thus reflecting a very low score across the specified sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill outlines methods for determining taxable income related to cost-sharing arrangements (CSAs) among controlled participants, ensuring equitable sharing of costs and benefits from developing intangibles in compliance with federal tax regulations.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The bill mandates railroads to establish emergency notification systems for public reporting of unsafe conditions at highway-rail and pathway grade crossings, enhancing safety measures and response protocols.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily discusses emergency notification systems related to safety at highway-rail and pathway grade crossings, focusing on the responsibilities of railroads for maintaining and responding to reports of unsafe conditions. It does mention automated systems and requires that these systems be capable of responding to reports, but there is no substantial discussion of social impacts from AI, data governance, systemic integrity, or robustness. The automated answering systems refer to efficiency in communication rather than AI-specific applications. Therefore, relevance scores for this text in the context of AI categories are low.
Sector: None (see reasoning)
The legislation primarily focuses on the operational responsibilities of railroads concerning emergency reporting and the management of safety conditions at crossings. While there is a mention of automated systems, it does not delve into the specific implications for sectors like Politics and Elections, Government Agencies, or others. The focus is too narrow concerning the application of AI to relate directly to any of the predefined sectors. As such, the relevance scores for each sector are minimal.
Keywords (occurrence): automated (2) show keywords in context
Summary: The bill mandates the Board to maintain records of disclosures, ensure privacy training for employees, and implement safeguards against unauthorized access to personal data. Its purpose is to enhance data privacy and security.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register
Data Governance
System Integrity (see reasoning)
The text outlines responsibilities for maintaining adequate safeguards related to records and personal data. However, it predominantly focuses on the procedures for privacy and data security rather than the social impact of AI systems or their algorithms. The absence of explicit discussion regarding AI-related issues such as algorithmic fairness, accountability, or societal implications results in a minimal relevance to the 'Social Impact' category. The emphasis on maintaining data governance through secure record-keeping practices aligns more closely with the 'Data Governance' category. There are references to automated systems in the context of data handling, which may touch upon 'System Integrity,' but not significantly. It lacks depth regarding benchmarks or performance standards for AI systems, making it less relevant for 'Robustness.' Overall, the text’s focus is primarily on maintaining privacy and security safeguards and ensuring the proper handling of identifiable personal data, which fits 'Data Governance' the best.
Sector: None (see reasoning)
The text does not address the use or regulation of AI in specific sectors such as politics, healthcare, or specific industries but rather discusses privacy and security measures for data systems. There are no mentions or contexts related to AI in relation to government services or any other defined sectors. The text on safeguarding personal information in automated systems might have a marginal connection to 'Government Agencies and Public Services' since it deals with records under control of a governmental board, but this is a minimal association. Given the absence of direct references to any specific sector, most scoring will likely yield low relevance.
Keywords (occurrence): automated (2) show keywords in context
Summary: This bill establishes standards for electronic stability control (ESC) systems in light vehicles, aiming to enhance vehicle control, reduce crashes, and decrease fatalities and injuries associated with loss of directional control.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The bill establishes guidelines for a neuropsychiatric interpretive electroencephalograph assessment aid, a prescription device that interprets EEG data to aid in diagnosing neuropsychiatric conditions, ensuring safety and efficacy.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines the procedures and requirements for the Environmental Impact Analysis Process (EIAP) within the Air Force, ensuring compliance with environmental regulations while allowing for waivers and analysis of actions abroad.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The text provided is predominantly focused on regulatory procedures regarding environmental impact analyses and the relevant acronyms and definitions associated with U.S. Air Force operations. It does not mention AI explicitly; hence, topics that would typically warrant attention regarding social impact, data governance, system integrity, or robustness seem entirely absent. Without direct references to AI or associated terms, any potential relevance in these categories can only be considered negligible.
Sector: None (see reasoning)
Similarly, the text does not pertain to any sectors associated with AI, such as politics, government services, or healthcare. The content is specifically military and environmental in context, without any mention or implication regarding AI's role or implications in these areas. This leads to a profound lack of relevance for all sectors discussed.
Keywords (occurrence): automated (1)
Summary: The bill outlines the structure for debit/credit and deposit data files that the FDIC will use to manage account holds, debits, and credits, ensuring secure data transmission and compliance regulations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register
Description: Amends the Illinois Vehicle Code. Provides that an automated license plate reader (ALPR) user shall not sell, share, allow access to, or transfer ALPR information to any state for the purpose of investigating or enforcing a law that: (1) denies or interferes with a person's right to choose or obtain reproductive health care services or any lawful health care services; or (2) permits the detention or investigation of a person based on the person's immigration status. Provides that any law enfo...
Summary: The bill amends the Freedom of Information Act in Illinois, detailing exemptions for public records, particularly regarding law enforcement and personal privacy, aiming to balance transparency with individual rights and safety.
Collection: Legislation
Status date: Aug. 11, 2023
Status: Passed
Primary sponsor: Ann Williams
(30 total sponsors)
Last action: Public Act . . . . . . . . . 103-0540 (Aug. 11, 2023)
Societal Impact
Data Governance (see reasoning)
The text primarily addresses the regulation of automated license plate readers (ALPR), focusing on the restrictions regarding sharing and accessing ALPR information within the context of reproductive health and immigration status. The laws aim to ensure privacy and prevent misuse of AI-driven automated data collection by law enforcement agencies, particularly in sensitive areas that impact individual rights. Therefore, the legislation is relevant to the Social Impact category, as it directly relates to how AI technologies can affect personal freedoms and civil rights. The Data Governance category is also relevant since the text deals with data management and privacy concerns associated with AI systems. The System Integrity and Robustness categories are less relevant since the text does not specifically address the security or performance benchmarks of AI systems themselves but focuses more on legal frameworks related to their functionalities and ethical use.
Sector:
Government Agencies and Public Services (see reasoning)
The legislation pertains mostly to law enforcement and civil rights, making it quite relevant to the Government Agencies and Public Services sector, as it governs how state law enforcement can use technology. It does not specifically address issues directly related to Politics and Elections, Judicial System, Healthcare, or other sectors indicated, as the content is focused more on the implications of ALPR technology on privacy and the legal frameworks guiding its usage. Therefore, the Government Agencies and Public Services sector is the most relevant.
Keywords (occurrence): automated (4) show keywords in context
Summary: The bill establishes a detailed customer file structure for the FDIC, outlining required data fields for identifying accounts and customers, facilitating accurate reporting and relationship tracking.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The bill establishes the organizational structure of the Rural Utilities Service (RUS), detailing its responsibilities for administering rural infrastructure programs, including electrification, water systems, and telecommunications, to enhance rural community welfare.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register
The text primarily discusses the functional organization of rural services (RUS) under the Department of Agriculture, detailing administrative responsibilities, policies, and program support functions. It does not explicitly mention terms related to AI, such as 'Artificial Intelligence,' 'algorithm,' or 'automated decision', nor does it discuss the implications of technology, including AI, on society, data governance, system integrity, or robustness. Therefore, it lacks direct relevance to the categories outlined. Overall, the text addresses the administration of rural support programs rather than AI implications.
Sector: None (see reasoning)
The text relates to the organizational structure of the Rural Utilities Service, which focuses on rural electrification, telecommunications, and water infrastructure. While these sectors may benefit indirectly from advancements in technology, including AI, the text does not provide explicit regulations or implications concerning the use of AI in the sectors mentioned. Therefore, it does not strongly align with any specific sector, particularly those related to AI applications. Overall, it is primarily concerned with administrative aspects rather than sector-specific applications or regulations regarding AI.
Keywords (occurrence): automated (2) show keywords in context
Summary: The bill outlines procedures for loan application review and approval by the USDA's Rural Development, ensuring assessments reflect market value and include diverse community participation. It aims to streamline processing and conditions for funding.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register
The text mainly focuses on the procedures and requirements for loan application review and approval within the Rural Development framework. It does not mention AI or any AI-related concepts such as algorithms, machine learning, etc. Thus, all categories are determined to be not relevant as the text pertains strictly to loan processing without any indication of AI influence or regulation.
Sector: None (see reasoning)
The text also does not discuss AI applications or regulations specific to any sectors listed. It centers around financial processes and guidelines for loan approvals and does not intersect with the realms of politics, government agencies, healthcare, etc. Therefore, all sectors are deemed not relevant as they don't pertain to the content of the text.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill outlines compliance provisions for engine and equipment manufacturers regarding emission standards, including specific rules for multi-fuel engines and exemptions based on prior certifications. The aim is to ensure environmental standards through clear guidelines for various engine classifications.
Collection: Code of Federal Regulations
Status date: July 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines requirements for a comprehensive five-year child and family services plan, emphasizing joint planning by states and Indian Tribes to improve service delivery for children and families.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
The provided text outlines comprehensive requirements for child and family services plans but does not explicitly mention AI or related technologies. However, aspects like data collection, management, service delivery efficiency, and consulting processes could imply the potential use of AI in improving service delivery systems or analytics in social work. Despite this indirect relevance, no specific AI concepts or frameworks are referenced, leading to limited applicability to the categories defined. Thus, no category deeply applies, but there may be slight implications regarding data governance due to the emphasis on data collection and accuracy in decision-making.
Sector:
Government Agencies and Public Services (see reasoning)
The text primarily addresses child and family services rather than specific applications of AI related to the sectors. While there are references to coordinating services and data management, they lack any explicit mention of how AI could be utilized within these areas. However, it suggests a reliance on efficient information systems that may relate to data management practices. Generally, it leans more towards child welfare policies than direct applications of AI or technology, hence the relevance to sectors is limited.
Keywords (occurrence): automated (1) show keywords in context
Description: A bill to establish national data privacy standards in the United States, and for other purposes.
Summary: The DATA Privacy Act aims to establish national data privacy standards in the U.S., ensuring transparency and individual control over personal data, while requiring covered entities to follow comprehensive data handling practices.
Collection: Legislation
Status date: Nov. 15, 2023
Status: Introduced
Primary sponsor: Catherine Cortez Masto
(sole sponsor)
Last action: Read twice and referred to the Committee on Commerce, Science, and Transportation. (Nov. 15, 2023)
Societal Impact
Data Governance (see reasoning)
The text of the DATA Privacy Act is highly relevant to Data Governance due to its focus on establishing national data privacy standards and addressing the secure and accurate collection and management of data. It includes provisions for privacy-enhancing technologies, data accuracy, and protections against the unauthorized use and processing of personal data. The sections on covered entities and their responsibilities align closely with data governance practices in AI systems. The text also has relevance to Social Impact, as it inherently addresses potential risks to individuals resulting from data management practices, including privacy risks that can lead to personal harm. However, System Integrity and Robustness are less relevant because the text does not specifically address security, transparency, or AI performance benchmarks as outlined in these categories.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment (see reasoning)
The legislation addresses data privacy and security implications for all sectors but does not specifically mention any particular sector, such as politics or healthcare. However, it does imply applicability to Government Agencies, as these entities often collect and handle covered data for various purposes. Additionally, concerns related to Private Enterprises are significant since businesses frequently collect personal data which is subject to the regulations proposed in this bill. Therefore, after careful consideration, the most relevant sectors include Government Agencies and Private Enterprises. The remaining sectors don’t seem directly relevant based on the current text.
Keywords (occurrence): automated (4) show keywords in context
Summary: The bill establishes a uniform test method for measuring annual energy consumption and refrigerated volume of freezers, aiming to ensure compliance with energy conservation standards.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The SAE J2788 bill establishes minimum performance standards for equipment used in the recovery, recycling, and recharging of HFC-134a refrigerant from mobile air-conditioning systems to enhance environmental protection and refrigerant reuse.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
The provided text outlines standards and requirements for refrigerant recovery and recycling equipment specific to HFC-134a, focusing primarily on guidelines for operation, safety, and efficiency in handling refrigerants. It does not mention or relate to any aspects of artificial intelligence (AI), algorithms, machine learning, automation, or any AI technologies. Therefore, none of the categories related to AI are applicable.
Sector: None (see reasoning)
The text centers on technical specifications and guidelines for refrigerant recovery equipment and does not address related sectors such as politics and elections, government services, legal systems, healthcare, or any others listed. Since it does not relate to the application of AI or AI regulation within any specific sector, all sectors receive a score of 1.
Keywords (occurrence): algorithm (1) show keywords in context
Summary: The bill outlines the classification and requirements for retinal diagnostic software devices, aiming to ensure safety and effectiveness in diagnosing retinal diseases through specific software validation and clinical performance criteria.
Collection: Code of Federal Regulations
Status date: April 1, 2022
Status: Issued
Source: Office of the Federal Register
Summary: The bill outlines exemptions to the Privacy Act for certain Department of Energy records, particularly those related to law enforcement and national security, ensuring confidentiality during investigations and maintaining enforcement integrity.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2023
Status: Issued
Source: Office of the Federal Register
The text revolves around the exemptions related to the Privacy Act as applied to various systems of records within the Department of Energy (DOE). The focus is largely on the management of personal data and the procedural aspects of accessing and amending records, without any direct mention of artificial intelligence or related technologies. As such, the legislation does not specifically address matters pertinent to AI's social impact, data governance beyond what is required by the Privacy Act, the integrity of AI systems, or robustness as it relates to AI performance. Therefore, it is assessed as not relevant to the defined categories.
Sector: None (see reasoning)
The text does not pertain directly to any specific sector in which AI is employed. There are no explicit mentions of AI applications within politics, government services, healthcare, or any other sectors. While there are elements regarding privacy and record-keeping that could tangentially relate to the government or judicial sectors, the focus remains on procedural clarifications rather than sector-specific applications of AI. Thus, the text does not significantly connect with any of the designated sectors.
Keywords (occurrence): automated (3)