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

5030 results:


Communications and security requirements.

Summary: The bill establishes communications and security requirements for Positive Train Control (PTC) systems, ensuring data integrity, access control, and service restoration protocols for railroads to enhance safety.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

California AB302: Department of Technology: high-risk automated decision systems: inventory.

Description: An act to add Section 11546.45.5 to the Government Code, relating to automated decision systems.
Summary: The bill requires California's Department of Technology to inventory all high-risk automated decision systems used by state agencies by September 2024, ensuring transparency and assessing their impact on critical decisions affecting individuals.
Collection: Legislation
Status date: Oct. 13, 2023
Status: Passed
Primary sponsor: Chris Ward (3 total sponsors)
Last action: Chaptered by Secretary of State - Chapter 800, Statutes of 2023. (Oct. 13, 2023)

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

This text predominantly discusses high-risk automated decision systems, clearly placing it within the realm of AI legislation. The category of Social Impact is highly relevant because the bill addresses implications for individuals and society, particularly mitigation of risks like discrimination and the impact of decisions made by AI systems in significant areas such as housing, education, and employment. Data Governance is also very relevant as it mandates the documentation of data used by automated decision systems and emphasizes compliance with privacy and accuracy standards. System Integrity is relevant due to the requirement of measures to mitigate risks associated with biases in decision-making and ensuring security and accuracy of these systems. Robustness is moderately relevant; while the bill focuses on auditing and risk mitigation, it does not specifically address developing benchmarks for performance. All categories intersect with the use and implications of AI systems identified in the text, driving the categorization.


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

The legislation has implications across various sectors, especially Government Agencies and Public Services, as it specifically governs the use of AI in state agencies' decision-making processes. It may also have relevance in the Judicial System, but this act touches more broadly on agency decision-making rather than specific legal applications. In Healthcare, there are potential connections in terms of how automated systems might affect health services, but the text does not explicitly mention such usage. The relevance of AI in Private Enterprises, Labor, and Employment is also significant, given the potential impact of automated decision systems in these areas. Overall, the strongest relevance is found in Government Agencies and Public Services due to the direct implications for state operations.


Keywords (occurrence): artificial intelligence (1) machine learning (1) automated (14) show keywords in context

Daily Digest/Senate Committee Meetings

Summary: The bill highlights various Senate committee meetings, addressing topics such as American competitiveness, cybersecurity, substance use disorder care for veterans, and Supreme Court ethics, aiming to improve policy and governance.
Collection: Congressional Record
Status date: June 14, 2023
Status: Issued
Source: Congress

Category: None (see reasoning)

The text discusses various committee meetings and legislative items, but it does not explicitly mention Artificial Intelligence or any of its related terms. There's only limited reference to the use of automated systems (in the line 'to be transparent when using automated and augmented systems to interact with the public or make critical decisions'), which might imply some relevance to AI but lacks specificity. Consequently, all categories score low relevance as there is no detailed discussion or focus on AI's societal impact, governance, integrity, or robustness.


Sector: None (see reasoning)

The text covers various legislative meetings and proposals but does not specifically target any of the identified sectors concerning AI. There is a mention of automated systems, which could pertain to government services, but it is too vague and non-specific to directly connect to a particular sector. Thus, all sectors receive low scores as the text lacks clear relevance to AI applications or regulations within these sectors.


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

Information reporting for payments made in settlement of payment card and third party network transactions.

Summary: The bill updates information reporting requirements for payment settlement entities regarding transactions made through payment cards and third-party networks, ensuring clear communication and access to statements for recipients.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provided is primarily focused on the rules and regulations surrounding information reporting for payments made in settlement of payment card and third-party network transactions. It does not delve into Artificial Intelligence (AI) specifically, nor does it address the impact of AI on society or incorporate data governance as it pertains to AI-related technologies. The text discusses details on reporting requirements, definitions of payment transactions, and obligations of payment settlement entities but does not link these topics to AI concepts or technologies. Therefore, all categories can be rated as not relevant.


Sector: None (see reasoning)

The text is focused on legislation regarding payment transactions and reporting requirements. While it might intersect with broader financial regulations, it does not specifically address AI's application within any of the sectors provided. Terms like 'payment card transactions' or 'third-party networks' do not correlate with the defined sectors that concern AI interactions either. As such, all sectors can be considered not relevant.


Keywords (occurrence): automated (5) show keywords in context

Information Resources Management Service.

Summary: The bill outlines the responsibilities and functions of various offices within the General Services Administration (GSA), focusing on legal, financial, operational, and information resource management services, including procurement and telecommunications.
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 pertains to operations and regulatory functions of various offices within the General Services Administration, including the Information Resources Management Service which deals with automatic data processing and telecommunications. However, it does not explicitly mention or focus on AI-related technologies, applications, or implications. Consequently, the relevance to each category is limited. The absence of discussions around the societal impact of AI, data governance specific to AI data, integrity requirements for AI systems, or established benchmarks for AI performance leads to low scores across all categories. Overall, the information does not connect well with contemporary AI legislation themes.


Sector: None (see reasoning)

The text does not address the use of AI in any of the specified sectors; instead, it focuses on broad administrative and operational policies within government agencies. Consequently, no sector is particularly relevant, although there is a very slight connection in mentioning automated information systems, which could be framed within Government Agencies and Public Services. Overall, no significant implications for the sectors discussed are derived from this text, resulting in low scores across the board.


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

On-board Diagnostics for engines used in applications greater than 14,000 pounds GVWR.

Summary: This bill mandates that heavy-duty engines over 14,000 pounds GVWR must have an onboard diagnostic (OBD) system to monitor and report emission-related malfunctions, enhancing environmental protection by ensuring compliance with diagnostic standards.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): algorithm (3) show keywords in context

United States HB6149: Protecting Kids on Social Media Act

Description: To require that social media platforms verify the age of their users, prohibit the use of algorithmic recommendation systems on individuals under age 18, require parental or guardian consent for social media users under age 18, and prohibit users who are under age 13 from accessing social media platforms.
Summary: The Protecting Kids on Social Media Act mandates social media platforms to verify user ages, require parental consent for users under 18, restrict access for users under 13, and ban algorithmic recommendations for minors to enhance safety for young users.
Collection: Legislation
Status date: Nov. 1, 2023
Status: Introduced
Primary sponsor: John James (2 total sponsors)
Last action: Referred to the Subcommittee on Innovation, Data, and Commerce. (Nov. 3, 2023)

Category:
Societal Impact
Data Governance (see reasoning)

The text explicitly discusses certain aspects of artificial intelligence in relation to algorithmic recommendation systems and their oversight in the context of minors using social media platforms. This aligns closely with the Social Impact category, as the legislation aims to protect vulnerable populations, particularly children, from potentially harmful AI-driven practices. The Data Governance category is also relevant due to the focus on user data verification and consent related to age, addressing the safe and ethical handling of data in AI systems. However, there are limited elements that would fit the System Integrity and Robustness categories, as these primarily deal with transparency, performance benchmarks, and security measures of AI systems, which are less directly concerned in this legislation.


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

The legislation primarily impacts the digital landscape surrounding social media platforms, focusing on protecting minors, suggesting a significant relevance to the governmental and public services sector, ensuring that social media practices are compliant with regulations concerning user safety and data management. It also indirectly influences private enterprises as it pertains to the operational practices of social media companies, but it does not deeply engage with other sectors like healthcare or nonprofits as it specifically targets social media environments.


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

Medical image analyzer.

Summary: The bill outlines regulations for medical image analyzers, detailing performance testing, labeling requirements, and software documentation to enhance the accuracy and safety of radiological devices used in patient diagnosis.
Collection: Code of Federal Regulations
Status date: April 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): algorithm (5) show keywords in context

Replacement of U.S. registration by registered extension of protection.

Summary: The bill facilitates the replacement of U.S. trademark registrations with registered extensions of international trademark protections, streamlining processes for applicants and ensuring equivalent rights under U.S. law.
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 focuses on legislative procedures regarding the extension of protection of international registrations in the U.S. patent system. It does not feature any explicit mentions of AI technologies or their societal impacts, data governance, system integrity laws, or robustness standards in relation to the application of AI. As such, it does not connect to the provided categories regarding social impact, data governance, system integrity, or robustness, making all categories not relevant throughout three independent evaluations.


Sector: None (see reasoning)

Similar to the category evaluations, the text does not address any specific sectors related to AI use or regulation, including politics, government, the judicial system, healthcare, private enterprises, academic institutions, international cooperation, or nonprofits. Consequently, all sectors are deemed not relevant as there are no ties to AI applications or discussions within the provided text.


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

Reporting by institutional investment managers of information with respect to accounts over which they exercise investment discretion.

Summary: The bill mandates institutional investment managers to report information on accounts exceeding $100 million in section 13(f) securities, aiming to enhance transparency and regulatory oversight.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text primarily concerns the reporting requirements for institutional investment managers concerning certain securities, specifically section 13(f) securities. It focuses on the obligations of these managers to file accurate and timely reports about their investment holdings. There are no explicit mentions of Artificial Intelligence or any related terms such as algorithms, automation, machine learning, etc. As such, there is no direct relevance to the AI-related impacts on society, data governance, system integrity, or robustness.


Sector: None (see reasoning)

The text primarily addresses rules and regulations concerning institutional investment managers and their obligations regarding securities. It does not reference the use of AI in political processes, government services, the judicial system, healthcare, or any aspects of academic institutions as they relate to AI. Thus, none of the predefined sectors apply to the content of the text.


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

List of CFR Titles, Chapters, Subchapters, and Parts

Summary: This bill revises the index of the Code of Federal Regulations (CFR), categorizing its titles, chapters, subchapters, and parts for easier navigation and access to federal regulations.
Collection: Code of Federal Regulations
Status date: Jan. 1, 2021
Status: Issued
Source: Office of the Federal Register

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

Application for special permit for immediate delivery.

Summary: The bill establishes procedures for importers to apply for special permits for immediate delivery of goods at U.S. ports, detailing documentation requirements and potential penalties for non-compliance.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text provided is a detailed regulatory framework related to the Customs and Border Protection (CBP) and the procedures for obtaining special permits for merchandise delivery. It addresses procedural aspects and documentation requirements without mentioning, referencing, or implying the influence or inclusion of any AI technologies, systems, or methodologies. Therefore, the legislation appears to lack direct relevance to the specified categories related to AI. Social Impact, Data Governance, System Integrity, and Robustness focus on inclusion of AI aspects, but this text does not indicate any connection to AI dynamics regarding societal impact, data usage, system security, or performance measures.


Sector: None (see reasoning)

The text largely discusses procedural protocols relevant to customs and import regulations. There is no reference to AI applications, nor is there a context of legislative action that revolves around any of the sectors outlined. The sectors also include specific mentions of areas like politics, healthcare, and public services that do not connect with the customs and import-focused content of this document. Given this, every listed sector has no relevant ties to the information or implications presented in the text.


Keywords (occurrence): automated (1)

Issuer right of recovery; right of action by equity security owner.

Summary: The bill clarifies shareholder rights and issuer obligations concerning blackout periods, allowing equity security owners to recover profits from directors violating trading restrictions during these periods under the Sarbanes-Oxley Act.
Collection: Code of Federal Regulations
Status date: April 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text does not explicitly mention AI or any related terms such as Artificial Intelligence, Algorithm, Machine Learning, or others from the provided list. It primarily focuses on regulations related to equity securities, shareholder rights, and the Sarbanes-Oxley Act provisions. As such, it does not engage with social implications of AI, data governance, system integrity, or robustness in a meaningful way. Therefore, all categories receive low relevance scores.


Sector: None (see reasoning)

The text does not mention any sectors affected by AI technology, such as politics, healthcare, or education. It mainly discusses regulatory measures for equity security owners and does not reference the use of AI in any government or organizational function. Thus, all sectors receive low relevance scores.


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

Securing Social Security: Accessing Payments and Preserving the Program for Future Generations

Summary: The bill "Securing Social Security: Accessing Payments and Preserving the Program for Future Generations" aims to strengthen Social Security, improve service delivery, and ensure its sustainability for future generations, addressing workforce and funding challenges faced by the SSA.
Collection: Congressional Hearings
Status date: Oct. 16, 2023
Status: Issued
Source: Senate

Category: None (see reasoning)

The text discusses the Social Security Administration (SSA) and its challenges, including staffing, funding, and the provision of services. However, there are minimal direct references to AI technologies or their implications. While the SSA may consider using AI for service delivery optimization, this is not mentioned in the text. Therefore, it lacks a strong connection to these categories that focus on the broader implications of AI. Nonetheless, the topics of data management and service delivery could marginally relate to the categories, but they do not specifically address AI systems. Thus, relevance is low for the categories outlined.


Sector:
Government Agencies and Public Services (see reasoning)

The text is predominantly focused on Social Security and does not delve into the specific use or regulation of AI within the context of politics, government operations, healthcare, or other sectors specifically outlined. Although there are operational challenges at the SSA, the text primarily addresses issues regarding staffing, funding, and administrative processes rather than the implications of AI technologies. Hence, it aligns minimally with the sectors described but does not strongly fit into any of them.


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

Authority delegated.

Summary: The bill delegates various administrative and operational authorities within the Federal Communications Commission, primarily to the Chief Financial Officer and the Chief of the Office of Engineering and Technology, enhancing efficiency in regulatory processes.
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 outlines delegated authorities within the Federal Communications Commission (FCC) concerning various functions and responsibilities, including the management of telecommunications and technical standards. It does not explicitly address any AI-related content or issues, nor does it contain specific references to the societal implications of AI use. Therefore, it is not relevant to any of the AI categories that would typically pertain to social impact, data governance, system integrity, or robustness regarding AI systems.


Sector: None (see reasoning)

The text is focused on administrative protocols and authority within the FCC concerning financial and technological management. It does not discuss the use or regulation of AI in political, governmental, judicial, healthcare, or business contexts. As a result, it lacks relevance to any of the specified sectors.


Keywords (occurrence): automated (1)

Daily Digest/House Committee Meetings

Summary: The bill encompasses various committee meetings and hearings in Congress, focusing on issues such as transportation funding, artificial intelligence in defense, and energy infrastructure, aiming to address significant national challenges.
Collection: Congressional Record
Status date: July 18, 2023
Status: Issued
Source: Congress

Category:
Societal Impact (see reasoning)

The text contains a section titled 'Man and Machine: Artificial Intelligence on the Battlefield,' indicating a focus on the implications of AI in military applications. This invokes discussions about social impact, particularly regarding the role of AI in warfare and its potential consequences on society, ethical considerations, and accountability for AI use by military forces. However, the other sections do not explicitly pertain to AI, leading to lower relevance for the other categories. Hence, social impact is rated highly, while others are scored lower based on this text's minimal relevance to their core focuses.


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

The mention of AI specifically in the context of military applications gives the hearing strong relevance to the sector focused on Defense. However, it lacks direct implications for the other sectors mentioned, as the discussions seem concentrated on military issues without broader applications to healthcare, employment, or governance. Consequently, this results in a lower score for most sectors except for a potential slight relevance to Government Agencies due to the involvement of governmental entities in military matters.


Keywords (occurrence): artificial intelligence (2)

What special terms do I need to know to understand this part?

Summary: This bill outlines regulations for electronically submitted transaction requests related to U.S. securities via the Automated Clearing House, including definitions for electronic signatures and liability.
Collection: Code of Federal Regulations
Status date: July 1, 2021
Status: Issued
Source: Office of the Federal Register

Keywords (occurrence): automated (5) algorithm (3) show keywords in context

AI AND THE FUTURE OF WORK: MOVING FORWARD TOGETHER

Summary: The bill focuses on examining the integration of AI into the workforce and its impact on employment. It aims to promote worker training and empowerment to adapt to technological advancements.
Collection: Congressional Hearings
Status date: Oct. 31, 2023
Status: Issued
Source: Senate

Category:
Societal Impact (see reasoning)

The text primarily discusses the role of AI in the workplace, specifically looking at its integration and impact on workers and the economy. There are frequent mentions of AI technologies, such as ChatGPT, and their functionalities in the workforce, indicating a direct relevance to how AI is perceived socially and its implications. It addresses important social issues, including skills training and worker empowerment in the wake of AI advancements, categorizing it as crucial to understanding AI's social impact. The concerns expressed by officials show a proactive approach toward ensuring a balanced integration of AI in a way that acknowledges its potential impacts on society. Overall, the text underscores the importance of AI not just technically, but importantly in terms of its societal implications like job displacement, training needs, and workforce adaptation, thus aligning closely with the Social Impact category. The text briefly implies the consideration of secure data and protection related to AI usage but lacks substantial focus on specific legislative measures regarding data, system integrity or performance metrics, which makes those categories less relevant.


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

The legislation focuses heavily on the implications of AI in various work sectors and how it affects employment practices. Given that the hearing is about the future of work and the workforce's adaptability to AI technologies, it includes discussions that pertain heavily to Private Enterprises, Labor, and Employment. There are references regarding the workplace dynamics, necessary skills for effective AI application, and how employers and employees will need to navigate the rapidly changing job landscape. While some discussion involves government oversight and public services, the center of the text is on economic implications and worker adaptation, centering it primarily within the Private Enterprises, Labor, and Employment sector. Other sectors like Healthcare and Government Agencies are less directly relevant considering the context of the discussions primarily revolving around workplace adaptation to AI advancements.


Keywords (occurrence): artificial intelligence (22) machine learning (4) automated (11) foundation model (1) algorithm (1) show keywords in context

Georgia HB250: Civil practice; prohibit censorship by social media platforms

Description: A BILL to be entitled an Act to amend Title 9 of the O.C.G.A., relating to civil practice, so as to prohibit censorship by social media platforms; to prohibit waivers of protections; to provide for limitations; to provide for construction; to provide for user remedies; to provide for action by the Attorney General; to amend Title 10 of the O.C.G.A., relating to commerce and trade, so as to provide for disclosure requirements regarding social media platforms; to provide for construction; to pr...
Summary: House Bill 250 prohibits censorship by social media platforms in Georgia based on user viewpoints or location, establishes user remedies, and mandates transparency and complaint systems for content management.
Collection: Legislation
Status date: Feb. 6, 2023
Status: Introduced
Primary sponsor: Steven Sainz (5 total sponsors)
Last action: House Second Readers (Feb. 8, 2023)

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

The text mainly revolves around the prohibition of censorship by social media platforms and the establishment of regulations surrounding their operations. The emphasis on censorship and user expression connects significantly to the effects of AI determinations on social media content, addressing algorithm-driven content visibility and behavior moderation. This falls squarely within the scope of the Social Impact category as it deals with issues like misinformation, public discourse, and rights related to automated moderation by AI systems. Data Governance is also relevant due to the aspects related to content management and the requirement for platforms to disclose how they curate and moderate content, which is directly linked to the algorithms they employ. System Integrity can be considered, but it is less about ensuring security or oversight of AI systems, focusing instead on ensuring compliance and transparency in operations. Robustness is minimally relevant as it doesn't focus on AI performance evaluation or auditing frameworks specifically. Therefore, while System Integrity and Robustness have some relevance, the primary focus lies in Social Impact and Data Governance.


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

This legislation predominantly relates to the regulation of social media platforms, which directly impacts the sector of Politics and Elections through the discourse of censorship in electoral contexts. The Government Agencies and Public Services sector is also pertinent as it involves governmental interventions in platform censorship practices. The Judicial System has a lower relevance since it deals with user rights to action against platforms but doesn’t outline how AI interacts legally in this context. Healthcare, Private Enterprises, Labor, and Employment, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, and Hybrid, Emerging, and Unclassified sectors do not have clear links to this text. Thus, Politics and Elections and Government Agencies and Public Services emerge as the most relevant sectors.


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

CMS-identified overpayments associated with payment data submitted by Part D sponsors.

Summary: The bill addresses overpayments by Part D sponsors to CMS, outlining a process for identifying, correcting, and appealing erroneous data, aiming to ensure financial accountability and accuracy in Medicare payments.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register

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