4429 results:


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 focuses on the licensing procedures for ocean transportation intermediaries and does not contain any references to AI technologies or concepts such as algorithms, machine learning, or automated decision-making. It maintains a specific focus on regulatory requirements pertaining to applicants and their qualifications for licenses. Therefore, none of the categories are relevant to the text.


Sector: None (see reasoning)

Similar to the category reasoning, the text does not address the use or regulation of AI within any specific sector such as politics, healthcare, or private enterprises. The content is strictly related to the operational aspects of applying for a license within a maritime context rather than on AI applications or their governance. Thus, none of the sectors are applicable.


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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 deals with regulatory exceptions concerning financial relationships and ownership interests in the health care sector. Although this may indirectly relate to AI (such as in health tech or financial analytics in health services), there are no specific references to AI, algorithms, or similar technologies that would warrant high relevance to the categories defined. Given the focus on ownership and investment interests without explicit mention of AI or its impact, this legislation appears to be primarily administrative rather than related to the societal, data, or integrity issues typically associated with AI's implications or functionality.


Sector:
Healthcare (see reasoning)

The text concerns ownership and compensation structures in healthcare settings but does not specifically address the use of AI. While AI might play a role in healthcare at a broader level, this particular text does not discuss AI applications or regulations pertinent to health data, governance, or service enhancement. The reference to compensation and ownership interests does not imply any direct involvement or regulation of AI technologies and therefore receives low relevance.


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Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text mainly deals with the procedures for establishing Blanket Purchase Agreements (BPAs) under the Federal Acquisition Regulation. It contains no explicit references to AI-related technologies or their implications. The focus is on procurement processes and regulations without discussing the social impact, data governance, system integrity, or robustness in the context of AI technologies. Thus, the categories seem irrelevant to the content of the text.


Sector: None (see reasoning)

The text does not pertain to the use or regulation of AI within any specific sector, including politics, government agencies, healthcare, or private enterprises. It is primarily focused on procurement procedures and regulations concerning BPAs in general and does not mention or involve AI applications in any of the identified sectors.


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Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category:
Data Governance (see reasoning)

This text addresses the processes by which the IV-D program locates noncustodial parents, relying heavily on information systems and possibly the use of algorithms to aggregate and analyze data from multiple sources. However, there is no explicit mention of AI terms such as 'Artificial Intelligence', 'Machine Learning', or 'Automation'. While the use of automated sources is briefly mentioned, it doesn’t delve into how AI might be applied in these contexts or the implications of such systems. Hence, relevance to the defined categories is minimal, as the legislation primarily focuses on procedural guidelines rather than the social impacts or systems surrounding AI technology.


Sector:
Government Agencies and Public Services (see reasoning)

The text primarily deals with the operational aspects of the IV-D program and the processes involved in locating noncustodial parents. While it does involve state agencies and the handling of sensitive information regarding income, employment, and assets, it does not delve into broader implications for society or data governance outside of very specific procedures. The mentioning of safeguards aligns it slightly with the sector of Government Agencies and Public Services but doesn't strongly connect to AI applications in that context. There is not enough evidence to associate the text with any other sectors.


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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 discusses the protection and advocacy system records in relation to individuals with mental illness. There are no explicit references to AI-related technologies or implications. Instead, the focus is on the confidentiality, access rights, and protocols regarding individuals in mental health facilities. Due to this lack of direct connection to AI, the relevance to the predefined categories is very low. Therefore, scores will reflect the minimal engagement with AI topics.


Sector:
Healthcare (see reasoning)

The text does not directly address any of the nine sectors of potential application for AI. Its focus is on mental health advocacy and access rights rather than on the application of AI methodologies, technologies, or implications in these sectors. Consequently, scores are indicative of low to slightly relevant associations with respect to AI's impact in various domains.


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Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text largely discusses procurement standards related to environmental attributes of products rather than AI-related issues. While AI could potentially factor into procurement processes in the future, the current text does not address AI explicitly or implicitly. Thus, all categories score a 1 as they do not pertain to the context of AI legislation and governance.


Sector: None (see reasoning)

The text focuses on the identification and reporting of environmentally-friendly products, which does not connect with the nuances of the specified sectors. AI is not mentioned nor alluded to therein; therefore, all assessed sectors receive a score of 1.


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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 outlines requirements and protocols for the distribution of Alert Messages through the CMS Provider infrastructure. It focuses on logging, testing, and maintaining connections between various systems. While the terms related to AI do not appear explicitly in the text, automation and systematic processes are hinted at in the context of message handling and logging. However, the text largely pertains to alert management rather than addressing any intricacies of AI systems or their implications on society, data governance, integrity, or performance benchmarks. Hence, overall relevance to the categories is low.


Sector:
Government Agencies and Public Services (see reasoning)

The text primarily concerns the protocols and requirements for the distribution and logging of emergency alerts and does not explicitly relate to any specific sectors like politics, healthcare, or public services concerning AI usage. Although an argument could be made for its application in 'Government Agencies and Public Services' due to its role in emergency communication, it does not delve sufficiently into the use of AI techniques or systems that affect these areas. Overall, the relevance to the sectors is minimal.


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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 revolves around requirements for hospitals to make public standard charges for items and services. While the text does mention 'machine-readable format,' which is relevant to data and information processing, it does not engage with specific AI technologies or their implications for social impact, data governance, system integrity, or robustness. As such, the relevance of the categories to the text is minimal, leading to low scores overall.


Sector:
Healthcare (see reasoning)

The text discusses legislative requirements relevant to healthcare, specifically how hospitals should present their standard charges. It addresses transparency in charges and the obligation to publicize this information online, which is crucial for healthcare consumers but doesn't touch explicitly on AI applications. Therefore, while there is a connection to the healthcare sector, the use of AI is not present, thereby leading to a low score on this sector.


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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)

The text primarily discusses the regulation and guidelines for establishing automated information systems within the context of child welfare services. The relevance to AI-related categories can be evaluated based on how these systems may leverage automated processes or algorithms in decision-making related to client eligibility and benefit distribution. However, the text lacks explicit references to AI technologies, machine learning, or similar keywords. The systematic approach to data processing suggests some connection to algorithmic methods but does not indicate a focus on social impact or regulatory governance around AI. Therefore, the broader implications relating to societal or data governance considerations are minimal. The text emphasizes operational and regulatory frameworks rather than specific AI technologies or impacts, leading to lower relevance scores across the categories.


Sector:
Government Agencies and Public Services (see reasoning)

The document pertains to the Administration for Children and Families (ACF) and outlines responsibilities and structures for managing information systems in social services. It implicitly relates to government operations and management but lacks specific references to how AI systems are utilized or regulated within public services. The procedural elements indicated suggest a degree of oversight and integrity, but again, explicit mention of AI applications in the sector is absent. The text does not relate specifically to judicial processes, healthcare, or employment, thus the scores are reflective of its direct relevance to social services and governmental structures more broadly rather than specific sector applications.


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

Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text outlines regulations regarding the acquisition and usage of EPEAT-registered imaging equipment and their energy efficiency, focusing more on environmental impacts and regulatory compliance rather than AI-specific aspects. Thus, it lacks significant relevance to the four categories regarding AI. The focus on global warming potential and energy efficiency suggests a potential touch on social impact, but it does not directly relate to any AI-driven social considerations. There is no explicit mention or discussion regarding AI technology, algorithms, or any related fields, resulting in very low overall relevance to the given categories.


Sector: None (see reasoning)

The text does not address any specific sector directly related to AI, such as politics, healthcare, or private enterprises, as it is primarily focused on regulations surrounding imaging equipment and energy efficiency. No mention of AI applications or implications makes it not applicable to any of the defined sectors.


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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 pertains to regulations governing selective calling equipment used in maritime communications. It does not reference or imply the use of AI technologies or frameworks that would relate to the categories of Social Impact, Data Governance, System Integrity, or Robustness. There is no mention of accountability for developers, data management practices, security measures specific to AI systems, or performance benchmarks typical for AI applications. Thus, the relevance of all categories is determined to be minimal, as the focus is strictly on technical specifications rather than societal, data, system integrity, or robustness principles related to AI.


Sector: None (see reasoning)

The text concerns requirements for selective calling equipment within maritime communications, focused on radio signal protocols. As such, it does not address sectors such as Politics and Elections, Government Agencies and Public Services, Judicial System, Healthcare, Private Enterprises, Labor, and Employment, Academic and Research Institutions, International Cooperation and Standards, Nonprofits and NGOs, or Hybrid, Emerging, and Unclassified. The scope is limited to ship and coast station regulations rather than any sector listed. Therefore, all scores reflect no relevance across the specified sectors.


Keywords (occurrence): automated (1)

Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text largely pertains to the approval and operational standards for spirometry facilities, focusing on quality assurance in pulmonary health evaluations. The relevance to AI is limited as the text does not directly discuss AI technologies or their applications. Though automated systems for quality checks are mentioned, they do not sufficiently hinge on artificial intelligence, machine learning, or similar technologies that define the categories. Instead, the focus remains on compliance with prescribed standards rather than innovative AI applications or implications. Therefore, the text does not align strongly with any of the identified categories.


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

The text relates primarily to public health services and their operational procedures involving spirometry. While there is a minimal mention of automated quality checks which could tangentially relate to System Integrity due to ensuring accurate testing practices, the absence of detailed AI or broader system applications minimizes significant relevance to any specific sector. Thus, while some general principles could apply, the primary focus is on healthcare processes rather than the intersection of such processes with AI applications.


Keywords (occurrence): automated (1)

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)

The text focuses heavily on the security and privacy aspects of Computerized Tribal IV-D Systems and their operation, which directly indicates relevance to the Data Governance category where the management and security of data is paramount. The section on safeguarding processes also alludes to considerations for system performance and integrity but does not engage with broader societal impacts or robustness directly. Consequently, the relevance primarily aligns with Data Governance for its attention to data integrity, privacy, and security procedures. System Integrity has some relevance, especially in terms of ensuring the security of the systems, but it isn't explicitly framed within the defined terms of that category.


Sector:
Government Agencies and Public Services (see reasoning)

The text's mention of Computerized Tribal IV-D Systems primarily pertains to the operation and enhancement of these systems within a government context, indicating significant relevance to Government Agencies and Public Services. While there are implications for how data is managed, it lacks specificity regarding judicial processes, healthcare applications, or other sectors outlined. The focus remains on administrative and operational aspects of public service delivery rather than direct application in those other areas.


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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 outlines requirements for State Medicaid health information technology (HIT) plans and does not directly address the impact of AI on society, data governance specific to AI datasets, integrity of AI systems, or performance metrics related to AI. The focus is on interoperability and compliance with health information technology standards rather than on AI technologies or their implications. Due to the text's emphasis on technical requirements, governance of health IT, and infrastructure, it is more aligned with regulatory guidelines rather than legislation specifically targeting AI's social implications, governance or system integrity. Thus, the overall relevance to the categories is low to moderate.


Sector:
Healthcare (see reasoning)

The text deals directly with the Medicaid health information technology plan, which falls under Health Care. The requirements it discusses, such as data sharing, compliance with HIPAA, and improving clinical outcomes all indicate a focus on improving healthcare delivery and infrastructure rather than the broader use of AI technology in other sectors. Therefore, while its primary relevance is healthcare-focused, it provides less targeted insights into how AI interplays specifically with healthcare systems and regulations. Based on assessment, the text emerges as moderately relevant to healthcare, with low relevance in the remaining sectors.


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

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 discusses health and accident coverage for USAID participant trainees, with no specific mention or implication of AI or AI-related technologies. Consequently, it does not address social implications stemming from AI systems, data governance aspects related to data handling in AI contexts, system integrity concerning the robustness of AI practices, or standards regarding AI performance benchmarks. Overall, the legislation does not align well with the provided categories.


Sector: None (see reasoning)

Similarly, the text focuses solely on the regulations surrounding participant training and health coverage in the context of USAID. There are no references to AI within political campaigns, government services, judicial applications, healthcare AI tools, employment impacts, academic usage, international standards, nonprofit applications, or emerging sectors involving AI. Therefore, the relevance to defined sectors is negligible.


Keywords (occurrence): automated (2)

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 focuses primarily on regulations concerning processor-based systems in the context of railroad safety. While there are mentions of automated systems and technologies related to performance standards, there isn't a strong emphasis on social impact or broader AI implications. The text is structured mainly around compliance, safety requirements, and records management rather than on the societal aspects of AI deployment or governance. Therefore, Social Impact receives a low score. The absence of specific language relating to the governance of the datasets associated with these systems means Data Governance is also not particularly relevant. System Integrity receives a moderately relevant score since there are requirements relating to standards, safety, and systemic design principles. Robustness is similarly assigned a low-to-moderate score as there is minimal focus on AI benchmarks or certification processes, primarily discussing compliance with existing safety standards rather than the performance metrics of AI systems.


Sector:
Government Agencies and Public Services (see reasoning)

This text primarily intersects with the Government Agencies and Public Services sector as it describes processes and regulations that railway systems must adhere to for safety, which is inherently a public service concern. The focus is on automating systems in the context of transportation safety, which applies to public infrastructure and services. Conversely, while it mentions compliance and governance structures, it does not specifically address sectors like healthcare, politics, or labor markets, resulting in lower relevance scores for those sectors. Thus, Government Agencies and Public Services is given the highest score for relevance, and other sectors are deemed less critical.


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

Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

The text discusses regulations related to government contracting and supply order procedures. It does not explicitly mention AI or any AI-related technologies such as algorithms, automation, or machine learning. Its focus is primarily on compliance issues for contractors and does not address aspects related to the social implications of AI, data governance, system integrity, or robustness. Therefore, its relevance to the categories related to social impact, data governance, system integrity, and robustness is minimal.


Sector: None (see reasoning)

The text covers government contracting procedures and regulations impacting contractors taking part in federal projects. It does not address any specific use or regulation of AI in politics, public services, the judicial system, healthcare, private enterprises, educational institutions, international cooperation, nonprofits, or any emerging sectors. As such, the text does not fit neatly into any of the specified sectors. Its focus is strictly procedural without connection to AI-related activities or impacts.


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

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 discusses the regulations and procedures concerning electronic submission of payment requests and receiving reports related to defense contracts. It does not focus on any social implications or impacts of AI technology; hence, it is not particularly relevant to the Social Impact category. Similarly, while the text does mention electronic forms which may involve automated systems, it does not specify or address data governance issues such as bias, privacy, or security directly related to AI data management. It does not mention anything specifically regarding the security, transparency, and control of AI systems, suggesting that System Integrity does not apply here. Lastly, there are no benchmarks or performance metrics specific to AI discussed in the text, indicating that the Robustness category is also not relevant. Overall, the text lacks substantial references to AI, reducing its relevance across all categories.


Sector: None (see reasoning)

The document details procedures mainly relevant to defense contracts and payments. There is no mention or implication of AI in political campaign regulation, government use, legal frameworks, healthcare applications, employment issues, educational purposes, international standards, or nonprofit regulations. The references to electronic submissions are procedural rather than sector-specific concerning AI's role in these various contexts. Therefore, the text is rated very low across all sectors, reflecting its lack of engagement with AI applications.


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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 discusses the regulations and policies concerning spectrum leasing and does not contain any references to AI or related technologies. As such, none of the categories—Social Impact, Data Governance, System Integrity, or Robustness—are relevant as the content focuses solely on telecommunications rather than any impact or governance issues associated with artificial intelligence. There are no mentions of algorithms, machine learning, automated systems, or any related terminology that would connect this text to AI implications or governance frameworks. Therefore, all categories will receive a score of 1, indicating that they are not relevant.


Sector: None (see reasoning)

The text contains no references to any sectors related to AI applications or implications. It strictly pertains to spectrum management and leasing regulations, which falls under telecommunications rather than any of the nine identified sectors that focus on AI and its effects in fields like politics, healthcare, or public services. Given the absence of AI reference in the text, each sector receives a score of 1, indicating no relevance.


Keywords (occurrence): automated (1)

Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register

Category: None (see reasoning)

This text contains regulations regarding the provision of CMRS (Commercial Mobile Radio Service) by incumbent Local Exchange Carriers. While it touches on various aspects of telecommunication service provisions and legal affiliations, it does not address AI or AI-related technologies. The language is largely administrative and technical without reference to emerging technologies or their implications for society, data management, integrity, or performance standards. Therefore, it is not relevant to any of the given categories as there is no discussion of AI-related impacts, governance, system integrity, or benchmarks.


Sector: None (see reasoning)

The text primarily deals with telecommunications regulations and the operations of local exchange carriers within this context. There is no mention of AI's role in politics, government use, the judicial system, healthcare, employment, or any other outlined sector. Given the absence of AI-related content, none of the provided sector classifications apply. Therefore, the text is fully irrelevant to all identified sectors.


Keywords (occurrence): automated (1)
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