{"schemaVersion":1,"generatedAt":"2026-09-07T06:52:17.023Z","free":true,"description":"Most recently updated AI policy instruments across every collected jurisdiction, newest authoritative source update first.","count":25,"instrumentCount":95,"instruments":[{"id":"mo-aipol-94b257dff19d8c07f7898f3c","sourceId":"eu-eurlex","sourceRecordId":"52026AP0071","jurisdiction":"EU","jurisdictionLevel":"supranational","authority":"European Union institutions","instrumentType":"proposed_rule","identifier":"52026AP0071 (ELI C/2026/4028/oj)","title":"P10_TA(2026)0071 – Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law – European Parliament legislative resolution of 11 March 2026 on the draft Council decision on the conclusion, on behalf of the European Union, of the Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (11361/2025– C10-0183/2025 – 2025/0136(NLE)) (Consent)","shortTitle":null,"status":"proposed","nativeStatus":"no entry-into-force date published","introducedAt":null,"publishedAt":"2026-08-26","passedAt":null,"enactedAt":null,"effectiveAt":null,"latestActionAt":"2026-08-26","latestAction":null,"complianceDeadlines":[],"topics":[],"regulatedRoles":[],"affectedSectors":["cross_sector"],"obligations":[],"prohibitions":[],"enforcementAuthorities":[],"penalties":[],"summary":"Machine Observer normalization: European Union institutions proposed rule 52026AP0071 (ELI C/2026/4028/oj) — P10_TA(2026)0071 – Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law – European Parliament legislative resolution of 11 March 2026 on the draft Council decision on the conclusion, on behalf of the European Union, of the Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (11361/2025– C10-0183/2025 – 2025/0136(NLE)) (Consent). 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Derived from the authoritative source record; not legal advice.","sourceSummary":null,"subjects":["52026AP0071","http://data.europa.eu/eli/C/2026/4028/oj"],"textVersion":"http://data.europa.eu/eli/C/2026/4028/oj","relatedInstruments":[],"sourceUrls":["https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52026AP0071","http://data.europa.eu/eli/C/2026/4028/oj"],"canonicalSourceUrl":"https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52026AP0071","sourceAuthority":"EU Publications Office (Cellar) / EUR-Lex","sourceType":"official-linked-data","sourceUpdatedAt":"2026-08-26","firstSeenAt":"2026-09-07T06:52:17.023Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":5,"threshold":4,"strongMatches":1,"matchedTerms":[{"term":"artificial intelligence","field":"title","class":"strong","weight":5}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 1 strong term match(es) scoring 5 against a threshold of 4. 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Normalized status guidance. Normalized topics: transparency, cybersecurity. Derived from the authoritative source record; not legal advice.","sourceSummary":"The National Institute of Standards and Technology (NIST) established and operates the National Vulnerability Database (NVD), which provides the U.S. government repository of standards-based vulnerability management data. NIST seeks stakeholder input on opportunities, challenges, and priorities for modernizing the NVD in an evolving cybersecurity landscape increasingly shaped by artificial intelligence (AI) and machine-consumable security data. NIST's goal is to improve the NVD's scalability, automation, interoperability, transparency, and utility.","subjects":[],"textVersion":"91 FR 52042","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/08/12/2026-16371/request-for-information-rfi-on-modernizing-the-national-vulnerability-database-in-the-age-of","https://www.govinfo.gov/content/pkg/FR-2026-08-12/pdf/2026-16371.pdf","https://www.federalregister.gov/api/v1/documents/2026-16371?publication_date=2026-08-12"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/08/12/2026-16371/request-for-information-rfi-on-modernizing-the-national-vulnerability-database-in-the-age-of","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-08-12","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":9,"threshold":4,"strongMatches":2,"matchedTerms":[{"term":"artificial intelligence","field":"title","class":"strong","weight":5},{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 2 strong term match(es) scoring 9 against a threshold of 4. 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At this meeting, the IAC will discuss topics including crypto assets, artificial intelligence, and prediction markets, along with recent CFTC activity in these markets.","subjects":[],"textVersion":"91 FR 51697","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/08/11/2026-16328/innovation-advisory-committee","https://www.govinfo.gov/content/pkg/FR-2026-08-11/pdf/2026-16328.pdf","https://www.federalregister.gov/api/v1/documents/2026-16328?publication_date=2026-08-11"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/08/11/2026-16328/innovation-advisory-committee","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-08-11","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":4,"threshold":4,"strongMatches":1,"matchedTerms":[{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 1 strong term match(es) scoring 4 against a threshold of 4. 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Normalized status guidance. Normalized topics: employment. Derived from the authoritative source record; not legal advice.","sourceSummary":"Through this notice, the Bureau of Indian Affairs (BIA), Office of Indian Services (OIS), Division of Workforce Development (DWD), Job Placement and Training announces a forthcoming FY 2026 Job Placement and Training discretionary grant pilot program titled, \"Native American Technology and Manufacturing Grant Pilot Program-- (IGNITE: Indigenous Growth in New & Innovative Trade Employment)\" Notice of Funding Opportunity (NOFO) for Tribal workforce development strategies preparing Tribal participants for employment in construction and infrastructure trades and emerging technology sectors, including advanced manufacturing, digital fabrication, artificial intelligence, drone and geospatial systems, and STEM-based workforce training.","subjects":[],"textVersion":"91 FR 42973","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/07/13/2026-14057/fy-2026-job-placement-and-training-native-american-technology-and-manufacturing-grant-pilot-program","https://www.govinfo.gov/content/pkg/FR-2026-07-13/pdf/2026-14057.pdf","https://www.federalregister.gov/api/v1/documents/2026-14057?publication_date=2026-07-13"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/07/13/2026-14057/fy-2026-job-placement-and-training-native-american-technology-and-manufacturing-grant-pilot-program","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-07-13","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":4,"threshold":4,"strongMatches":1,"matchedTerms":[{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 1 strong term match(es) scoring 4 against a threshold of 4. 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Normalized status guidance. Derived from the authoritative source record; not legal advice.","sourceSummary":"The Department of Labor, as part of its continuing effort to reduce paperwork and respondent burden, conducts a pre-clearance consultation program to provide the general public and Federal agencies with an opportunity to comment on proposed and/or continuing collections of information in accordance with the Paperwork Reduction Act of 1995. This program helps to ensure that requested data can be provided in the desired format, reporting burden (time and financial resources) is minimized, collection instruments are clearly understood, and the impact of collection requirements on respondents can be properly assessed. The Bureau of Labor Statistics (BLS) is soliciting comments concerning the proposed new collection, the \"American Time Use Survey (ATUS) Artificial Intelligence (AI) Questions.\" A copy of the proposed information collection request can be obtained by contacting the individual listed below in the Addresses section of this notice.","subjects":[],"textVersion":"91 FR 42775","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/07/10/2026-13928/proposed-information-collection-atus-artificial-intelligence-ai-questions","https://www.govinfo.gov/content/pkg/FR-2026-07-10/pdf/2026-13928.pdf","https://www.federalregister.gov/api/v1/documents/2026-13928?publication_date=2026-07-10"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/07/10/2026-13928/proposed-information-collection-atus-artificial-intelligence-ai-questions","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-07-10","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":12,"threshold":4,"strongMatches":3,"matchedTerms":[{"term":"artificial intelligence","field":"title","class":"strong","weight":5},{"term":"AI (abbreviation)","field":"title","class":"strong","weight":3},{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 3 strong term match(es) scoring 12 against a threshold of 4. 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Normalized status guidance. Normalized topics: cybersecurity. Derived from the authoritative source record; not legal advice.","sourceSummary":null,"subjects":["52026DC0577"],"textVersion":null,"relatedInstruments":[],"sourceUrls":["https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52026DC0577"],"canonicalSourceUrl":"https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52026DC0577","sourceAuthority":"EU Publications Office (Cellar) / EUR-Lex","sourceType":"official-linked-data","sourceUpdatedAt":"2026-07-07","firstSeenAt":"2026-09-06T13:58:49.763Z","lastSeenAt":"2026-09-06T13:58:49.763Z","revision":1,"aiRelevance":{"relevant":true,"score":5,"threshold":4,"strongMatches":1,"matchedTerms":[{"term":"artificial intelligence","field":"title","class":"strong","weight":5}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 1 strong term match(es) scoring 5 against a threshold of 4. 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Normalized status guidance. Normalized topics: consumer_protection. Derived from the authoritative source record; not legal advice.","sourceSummary":"The Federal Trade Commission (\"Commission\") is proposing a policy statement regarding the application of the prohibition on deceptive acts or practices in section 5 of the Federal Trade Commission Act to companies that market artificial intelligence (\"AI\") systems.","subjects":[],"textVersion":"91 FR 41638","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/07/07/2026-13628/policy-statement-concerning-the-suppression-of-accuracy-in-artificial-intelligence-systems","https://www.govinfo.gov/content/pkg/FR-2026-07-07/pdf/2026-13628.pdf","https://www.federalregister.gov/api/v1/documents/2026-13628?publication_date=2026-07-07"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/07/07/2026-13628/policy-statement-concerning-the-suppression-of-accuracy-in-artificial-intelligence-systems","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-07-07","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":9,"threshold":4,"strongMatches":2,"matchedTerms":[{"term":"artificial intelligence","field":"title","class":"strong","weight":5},{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 2 strong term match(es) scoring 9 against a threshold of 4. 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They are regulatory information, not legal advice."},"regulatoryIdentifiers":[],"docketIds":["File No. P264200"],"agencies":["Federal Trade Commission"],"significant":null,"contentHash":"22c386f2f7d218e5b1ed7c6916c60164","revisionCount":1},{"id":"mo-aipol-1102d0167eb2d01b19e764a9","sourceId":"eu-eurlex","sourceRecordId":"52025AE3929","jurisdiction":"EU","jurisdictionLevel":"supranational","authority":"European Union institutions","instrumentType":"guidance","identifier":"52025AE3929 (ELI C/2026/3225/oj)","title":"Opinion of the European Economic and Social Committee a) Proposal for a Regulation of the European Parliament and of the Council amending Regulations (EU) 2024/1689 and (EU) 2018/1139 as regards the simplification of the implementation of harmonised rules on artificial intelligence (Digital Omnibus on AI) (COM(2025) 836 final – 2025/0359 (COD)) and b) Proposal for a Regulation of the European Parliament and of the Council amending Regulations (EU) 2016/679, (EU) 2018/1724, (EU) 2018/1725, (EU) 2023/2854 and Directives 2002/58/EC, (EU) 2022/2555 and (EU) 2022/2557 as regards the simplification of the digital legislative framework, and repealing Regulations (EU) 2018/1807, (EU) 2019/1150, (EU) 2022/868 and Directive (EU) 2019/1024 (Digital Omnibus) (COM(2025) 837 final – 2025/0360 (COD))","shortTitle":null,"status":"guidance","nativeStatus":"no entry-into-force date published","introducedAt":null,"publishedAt":"2026-07-02","passedAt":null,"enactedAt":null,"effectiveAt":null,"latestActionAt":"2026-07-02","latestAction":null,"complianceDeadlines":[],"topics":[],"regulatedRoles":[],"affectedSectors":["cross_sector"],"obligations":[],"prohibitions":[],"enforcementAuthorities":[],"penalties":[],"summary":"Machine Observer normalization: European Union institutions guidance 52025AE3929 (ELI C/2026/3225/oj) — Opinion of the European Economic and Social Committee a) Proposal for a Regulation of the European Parliament and of the Council amending Regulations (EU) 2024/1689 and (EU) 2018/1139 as regards the simplification of the implementation of harmonised rules on artificial intelligence (Digital Omnibus on AI) (COM(2025) 836 final – 2025/0359 (COD)) and b) Proposal for a Regulation of the European Parliament and of the Council amending Regulations (EU) 2016/679, (EU) 2018/1724, (EU) 2018/1725, (EU) 2023/2854 and Directives 2002/58/EC, (EU) 2022/2555 and (EU) 2022/2557 as regards the simplification of the digital legislative framework, and repealing Regulations (EU) 2018/1807, (EU) 2019/1150, (EU) 2022/868 and Directive (EU) 2019/1024 (Digital Omnibus) (COM(2025) 837 final – 2025/0360 (COD)). Normalized status guidance. Derived from the authoritative source record; not legal advice.","sourceSummary":null,"subjects":["52025AE3929","http://data.europa.eu/eli/C/2026/3225/oj"],"textVersion":"http://data.europa.eu/eli/C/2026/3225/oj","relatedInstruments":[],"sourceUrls":["https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52025AE3929","http://data.europa.eu/eli/C/2026/3225/oj"],"canonicalSourceUrl":"https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52025AE3929","sourceAuthority":"EU Publications Office (Cellar) / EUR-Lex","sourceType":"official-linked-data","sourceUpdatedAt":"2026-07-02","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":8,"threshold":4,"strongMatches":2,"matchedTerms":[{"term":"artificial intelligence","field":"title","class":"strong","weight":5},{"term":"AI (abbreviation)","field":"title","class":"strong","weight":3}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 2 strong term match(es) scoring 8 against a threshold of 4. 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They are regulatory information, not legal advice."},"celex":"52025AE3929","eli":"http://data.europa.eu/eli/C/2026/3225/oj","entryIntoForceStages":[],"endOfValidity":null,"stagedApplicability":false,"appliedStages":0,"pendingStages":[],"contentHash":"6df1ce9a8ac87a08b025bad7bccf128e","revisionCount":1},{"id":"mo-aipol-2267feac52e26b0b1bb6ee14","sourceId":"federal-register","sourceRecordId":"2026-12166","jurisdiction":"US","jurisdictionLevel":"agency","authority":"Health and Human Services Department","instrumentType":"final_rule","identifier":"FR Doc. 2026-12166","title":"Medical Devices; Radiology Devices; Classification of the Radiological Machine Learning-Based Quantitative Imaging Software With Predetermined Change Control Plan","shortTitle":null,"status":"final","nativeStatus":"Rule","introducedAt":null,"publishedAt":"2026-06-17","passedAt":null,"enactedAt":null,"effectiveAt":"2026-06-17","latestActionAt":"2026-06-17","latestAction":"Final amendment; final order.","complianceDeadlines":[{"date":"2026-06-17","kind":"effective_date","description":"Effective date published by the Federal Register for document 2026-12166.","affectedRoles":[],"sourceCitation":"https://www.federalregister.gov/documents/2026/06/17/2026-12166/medical-devices-radiology-devices-classification-of-the-radiological-machine-learning-based","explicit":true,"derived":false,"confidence":0.95,"fieldClass":"authoritative","derivation":"effective_on field published by FederalRegister.gov."}],"topics":["healthcare"],"regulatedRoles":[],"affectedSectors":["healthcare"],"obligations":[],"prohibitions":[],"enforcementAuthorities":[],"penalties":[],"summary":"Machine Observer normalization: Health and Human Services Department final rule FR Doc. 2026-12166 — Medical Devices; Radiology Devices; Classification of the Radiological Machine Learning-Based Quantitative Imaging Software With Predetermined Change Control Plan. Normalized status final. Source-stated effective/application date 2026-06-17. Normalized topics: healthcare. Derived from the authoritative source record; not legal advice.","sourceSummary":"The Food and Drug Administration (FDA) is classifying the radiological machine learning-based quantitative imaging software with predetermined change control plan into class II (special controls). The special controls that apply to the device type are identified in this order and will be part of the codified language for classification of the radiological machine learning-based quantitative imaging software with predetermined change control plan. We are taking this action because we have determined that classifying the device into class II will provide a reasonable assurance of safety and effectiveness of the device. We believe this action will also enhance patients' access to beneficial innovative devices, in part by reducing regulatory burdens.","subjects":["Medical devices","Radiation protection","X-rays"],"textVersion":"91 FR 36522","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/06/17/2026-12166/medical-devices-radiology-devices-classification-of-the-radiological-machine-learning-based","https://www.govinfo.gov/content/pkg/FR-2026-06-17/pdf/2026-12166.pdf","https://www.federalregister.gov/api/v1/documents/2026-12166?publication_date=2026-06-17"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/06/17/2026-12166/medical-devices-radiology-devices-classification-of-the-radiological-machine-learning-based","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-06-17","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":9,"threshold":4,"strongMatches":2,"matchedTerms":[{"term":"machine learning","field":"title","class":"strong","weight":5},{"term":"machine learning","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 2 strong term match(es) scoring 9 against a threshold of 4. 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They are regulatory information, not legal advice."},"regulatoryIdentifiers":[],"docketIds":[],"agencies":["Executive Office of the President"],"significant":null,"fullTextNormalized":true,"fullTextSource":"https://www.federalregister.gov/documents/full_text/text/2026/06/05/2026-11415.txt","contentHash":"7d33f47686808c2824047046d8de897e","revisionCount":2},{"id":"mo-aipol-905de88ac90dc7d9457ec7b5","sourceId":"federal-register","sourceRecordId":"2026-11353","jurisdiction":"US","jurisdictionLevel":"agency","authority":"Federal Communications Commission","instrumentType":"proposed_rule","identifier":"FR Doc. 2026-11353","title":"Reforming the High-Cost Program for an All-IP Future, Connect America Fund: A National Broadband Plan for Our Future High-Cost Universal Support","shortTitle":null,"status":"proposed","nativeStatus":"Proposed Rule","introducedAt":null,"publishedAt":"2026-06-05","passedAt":null,"enactedAt":null,"effectiveAt":null,"latestActionAt":"2026-06-05","latestAction":"Proposed rule.","complianceDeadlines":[{"date":"2026-08-04","kind":"comment_deadline","description":"Comment period closes, per the Federal Register record for document 2026-11353.","affectedRoles":[],"sourceCitation":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","explicit":true,"derived":false,"confidence":0.95,"fieldClass":"authoritative","derivation":"comments_close_on field published by FederalRegister.gov."},{"date":"2026-08-04","kind":"compliance_deadline","description":"DATES: Comments are due on or before August 4, 2026, and reply comments are due on or before September 3, 2026.","affectedRoles":["contractor"],"sourceCitation":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","explicit":true,"derived":false,"confidence":0.6,"fieldClass":"machine_observer_derived","derivation":"Date and cue phrase read from the quoted source sentence by deterministic pattern match."},{"date":"2026-09-03","kind":"compliance_deadline","description":"DATES: Comments are due on or before August 4, 2026, and reply comments are due on or before September 3, 2026.","affectedRoles":["contractor"],"sourceCitation":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","explicit":true,"derived":false,"confidence":0.6,"fieldClass":"machine_observer_derived","derivation":"Date and cue phrase read from the quoted source sentence by deterministic pattern match."}],"topics":["transparency","employment","children","education","cybersecurity"],"regulatedRoles":["contractor"],"affectedSectors":["employment","healthcare","education","government","energy","telecommunications"],"obligations":[],"prohibitions":[],"enforcementAuthorities":["COMMISSION"],"penalties":[{"statement":"fines ``universal service'' as ``an evolving level of telecommunications services that the Commission shall establish periodically under this section, taking into account advances in t","sourceReference":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","confidence":0.55,"fieldClass":"machine_observer_derived"},{"statement":"fines the term ``small entity'' as having the same meaning as the terms ``small business,'' ``small organization,'' and ``small governmental jurisdiction","sourceReference":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","confidence":0.55,"fieldClass":"machine_observer_derived"},{"statement":"fined as cities, counties, towns, townships, villages, school districts, or special districts with populations of less than fifty thousand","sourceReference":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","confidence":0.55,"fieldClass":"machine_observer_derived"}],"summary":"Machine Observer normalization: Federal Communications Commission proposed rule FR Doc. 2026-11353 — Reforming the High-Cost Program for an All-IP Future, Connect America Fund: A National Broadband Plan for Our Future High-Cost Universal Support. Normalized status proposed. Normalized topics: transparency, employment, children, education, cybersecurity. Derived from the authoritative source record; not legal advice.","sourceSummary":"In this document, the Federal Communications Commission (FCC or Commission) adopted a Notice of Proposed Rulemaking (NPRM) that kicks off a process to examine how the Commission can make some of its high-cost mechanisms even more efficient and effective into the future. Ensuring a predictable High-Cost Program for years to come--call it High-Cost Modernization--will provide continuing support for our Build America Agenda, supercharge American leadership in Artificial Intelligence (AI) by efficiently supporting the broadband-capable networks upon which AI-enhanced applications and services will be delivered and accessed, and will help accelerate the transition to Internet Protocol (IP) networks.","subjects":[],"textVersion":"91 FR 34201","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","https://www.govinfo.gov/content/pkg/FR-2026-06-05/pdf/2026-11353.pdf","https://www.federalregister.gov/api/v1/documents/2026-11353?publication_date=2026-06-05"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/06/05/2026-11353/reforming-the-high-cost-program-for-an-all-ip-future-connect-america-fund-a-national-broadband-plan","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-06-05","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":2,"aiRelevance":{"relevant":true,"score":4,"threshold":4,"strongMatches":1,"matchedTerms":[{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 1 strong term match(es) scoring 4 against a threshold of 4. 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Normalized status guidance. Derived from the authoritative source record; not legal advice.","sourceSummary":"The National Institute of Standards and Technology (NIST), an agency of the United States Department of Commerce, previously announced the formation of the Artificial Intelligence Safety Institute Consortium (\"AISIC\") through a publication dated November 2, 2023 (88 FR 75276). AISIC brought together more than 280 organizations to develop science-based and empirically backed guidelines and standards for artificial intelligence (AI) measurement, laying a foundation for global AI metrology. Through this succeeding notice, NIST is announcing the retitling of AISIC as the NIST Artificial Intelligence Consortium (\"Consortium\"), revising the scope of the Consortium's research, and reissuing its invitation to organizations to submit letters of interest in order to collaborate with NIST, non-profit organizations, industry leaders, universities, and other agencies of the Federal Government in addressing the challenges associated with the development and deployment of AI-based innovations. In support of NIST's directives under the National Artificial Intelligence Initiative Act of 2020 (Pub. L. 116-283), in accordance with Executive Order 14179 issued January 23, 2025 (Removing Barriers to American Leadership in Artificial Intelligence), and as mandated by America's AI Action Plan, issued July 2025, NIST will utilize the Consortium to empower the collaborative establishment of a new measurement science that will enable the identification of proven, scalable, and interoperable techniques and metrics to promote the development and use of AI. Interested organizations should describe the technical expertise and products, data, and/or models that they will bring to the Consortium to support the Consortium's collaborative research activities. Participation in the Consortium is open to all interested organizations that can contribute their expertise, products, data, and/or models to the Consortium activities. Selected participants will be required to enter into a Consortium Cooperative Research and Development Agreement (CRADA) with NIST. At NIST's discretion, entities that are not legally permitted to enter into CRADAs pursuant to law may be allowed to participate in the Consortium under a separate non-CRADA agreement. 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The final priority and definitions augment the initial set of three Secretary's Supplemental Priorities on Evidence-Based Literacy, Educational Choice, and Returning Education to the States published as final priorities on September 9, 2025 (90 FR 43514); the Secretary's Supplemental Priority on Meaningful Learning Opportunities, published as a final priority on February 12, 2026 (91 FR 6625); the Secretary's Supplemental Priority on Advancing Artificial Intelligence in Education, published as a final priority on April 13, 2026 (91 FR 18774); and the Secretary's Supplemental Priority and Definitions on Career Pathways and Workforce Readiness, published as a final priority on April 13, 2026 (91 FR 18780).","subjects":[],"textVersion":"91 FR 30291","relatedInstruments":[],"sourceUrls":["https://www.federalregister.gov/documents/2026/05/22/2026-10347/final-priority-and-definitions-secretarys-supplemental-priority-and-definitions-on-promoting","https://www.govinfo.gov/content/pkg/FR-2026-05-22/pdf/2026-10347.pdf","https://www.federalregister.gov/api/v1/documents/2026-10347?publication_date=2026-05-22"],"canonicalSourceUrl":"https://www.federalregister.gov/documents/2026/05/22/2026-10347/final-priority-and-definitions-secretarys-supplemental-priority-and-definitions-on-promoting","sourceAuthority":"FederalRegister.gov (Office of the Federal Register / Government Publishing Office)","sourceType":"official-api","sourceUpdatedAt":"2026-05-22","firstSeenAt":"2026-09-06T13:26:04.553Z","lastSeenAt":"2026-09-07T06:52:17.023Z","revision":1,"aiRelevance":{"relevant":true,"score":4,"threshold":4,"strongMatches":1,"matchedTerms":[{"term":"artificial intelligence","field":"summary","class":"strong","weight":4}],"disqualifiedBy":null,"method":"deterministic-term-and-subject-scoring","explanation":"Classified AI-related: 1 strong term match(es) scoring 4 against a threshold of 4. 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