[{"data":1,"prerenderedAt":327},["ShallowReactive",2],{"uc-reg-uk-atrs":3},{"regulation":4,"includeUnpublished":11,"indexable":12,"useCases":13},{"id":5,"label":6,"issuer":7,"region":8,"url":9,"description":10},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","europe","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",false,true,[14,57,88,105,126,151,165,178,194,213,230,247,265,277,295,313],{"slug":15,"title":16,"shortTitle":17,"definition":18,"status":19,"industries":20,"functions":22,"patterns":26,"audience":31,"autonomy":32,"adoptionStage":33,"evidenceCount":34,"publicEvidenceCount":34,"organizations":35,"bestGrade":43,"headline":44,"lastVerified":54,"indexable":12,"euAiActTier":55,"euAiActBasis":56},"benefits-eligibility-and-application-assistant","AI assistant for benefits eligibility questions and applications","Benefits eligibility and application assistant","An AI assistant that helps people understand which public benefits and grants may apply to them, explains the rules and documents in plain language, guides them through the application and checks it for completeness, while the eligibility decision stays with the agency's rules and caseworkers.","published",[21],"government",[23,24,25],"citizen-services","case-management","customer-service",[27,28,29,30],"conversational-agent","rag-knowledge-assistant","voice-agent","document-processing","customer-facing","copilot","early-adopters",7,[36,37,38,39,40,41,42],"Department for Work and Pensions","Federal Student Aid (U.S. Department of Education)","Federal Emergency Management Agency","Gemeente Nissewaard","Leeds City Council","Région Provence-Alpes-Côte d'Azur (Région Sud)","YoungWilliams","B",{"kpi":45,"label":46,"unit":47,"n":48,"nUpTo":49,"kind":50,"value":51,"qualifier":52,"claimant":53,"organization":36,"vendorReported":11},"accuracy","Accuracy","percent",2,0,"reported",97,"exact","organization","2026-09-26","context-dependent","Annex III point 5(a) makes AI high risk when it is used by or on behalf of public authorities to evaluate the eligibility of natural persons for essential public assistance benefits and services, or to grant, reduce, revoke or reclaim them. An assistant that only explains rules and guides applications carries the Article 50 transparency duties (limited risk); one that screens or scores eligibility falls under point 5(a), and a public body deploying it must carry out a fundamental rights impact assessment first (Article 27).",{"slug":58,"title":59,"shortTitle":60,"definition":61,"status":19,"industries":62,"functions":63,"patterns":65,"audience":31,"autonomy":67,"adoptionStage":68,"evidenceCount":69,"publicEvidenceCount":70,"organizations":71,"bestGrade":43,"headline":81,"lastVerified":85,"indexable":12,"euAiActTier":86,"euAiActBasis":87},"citizen-information-assistant","AI assistant for citizen information and government services","Citizen information assistant","An AI assistant that answers residents' and businesses' questions about government services in plain language, grounded only in official guidance with links to the source, points them to the right online service or office, and hands anything personal, urgent or outside its content to a human with the context attached.",[21],[23,25,64],"knowledge-management",[28,27,29,66],"classification-and-routing","supervised-agent","mainstream",11,9,[72,73,74,75,76,77,78,79,80],"Abu Dhabi Government (TAMM)","Driver and Vehicle Licensing Agency","Estonian Information System Authority (RIA)","Foreign, Commonwealth and Development Office","Gemeente Tilburg","Government Digital Service","Government of the City of Buenos Aires","Madrid Destino","Montgomery County Government",{"kpi":45,"label":46,"unit":47,"n":82,"nUpTo":49,"kind":50,"value":83,"qualifier":84,"claimant":53,"organization":75,"vendorReported":11},1,76,"at-least","2026-09-27","limited","An information assistant must tell people they are interacting with AI (Article 50). It is not high risk as long as it does not evaluate eligibility for public assistance benefits or services (Annex III point 5(a)); an assistant that starts to pre assess eligibility should be reassessed.",{"slug":89,"title":90,"shortTitle":91,"definition":92,"status":19,"industries":93,"functions":94,"patterns":96,"audience":31,"autonomy":67,"adoptionStage":68,"evidenceCount":97,"publicEvidenceCount":97,"organizations":98,"bestGrade":43,"headline":102,"lastVerified":54,"indexable":12,"euAiActTier":86,"euAiActBasis":104},"tax-questions-and-filing-assistant","AI assistant for tax questions and filing support","Tax questions and filing assistant","An AI assistant that answers taxpayers' questions about taxes, deadlines, refunds and payments, lets authenticated taxpayers check their status or set up a payment plan within set rules, and guides them through filing, while assessments, penalties and disputes stay with the tax authority's staff and systems.",[21],[23,25,95],"finance-and-accounting",[27,29,28,66],4,[99,100,101],"ClearTax","HM Revenue and Customs","Internal Revenue Service",{"kpi":45,"label":46,"unit":47,"n":82,"nUpTo":49,"kind":50,"value":103,"qualifier":52,"claimant":53,"organization":100,"vendorReported":11},83.03,"A taxpayer assistant must tell people they are interacting with an AI system (Article 50). It is not listed in Annex III as long as it only informs and applies fixed rules. It becomes high risk under Annex III point 5(a) if it evaluates eligibility for, or grants, reduces, revokes or reclaims, public assistance benefits (which can include benefits paid through the tax system). Recital 59 says systems used for administrative proceedings by tax and customs authorities are not high risk law enforcement systems; audit selection and risk scoring are covered on a separate page.",{"slug":106,"title":107,"shortTitle":108,"definition":109,"status":19,"industries":110,"functions":111,"patterns":112,"audience":115,"autonomy":32,"adoptionStage":116,"evidenceCount":117,"publicEvidenceCount":117,"organizations":118,"bestGrade":43,"headline":123,"lastVerified":85,"indexable":12,"euAiActTier":124,"euAiActBasis":125},"civil-servant-drafting-copilot","AI drafting copilot for civil servants for correspondence, briefings and ministerial replies","Civil servant drafting copilot","A generative AI assistant that drafts replies to correspondence from the public and elected representatives, briefings, submissions and summaries for civil servants, grounded in the department's approved lines, policy documents and case data, with the official editing and approving every word before it is sent or cleared.",[21],[23,64,24],[113,28,114],"content-generation","summarization","employee-facing","emerging",5,[119,120,121,122,77],"Cabinet Office (Government Communication Service)","Crown Prosecution Service","Department for Education","Department for Science, Innovation and Technology (Incubator for Artificial Intelligence)",null,"minimal","An internal drafting assistant that an official reviews is not listed in Annex III. Article 50(4) requires disclosure of AI generated text published to inform the public on matters of public interest, unless it has undergone human review and a person holds editorial responsibility, which this design provides. If the tool is used to evaluate eligibility for public assistance benefits or services rather than to draft, Annex III point 5(a) can apply.",{"slug":127,"title":128,"shortTitle":129,"definition":130,"status":19,"industries":131,"functions":132,"patterns":134,"audience":137,"autonomy":138,"adoptionStage":33,"evidenceCount":117,"publicEvidenceCount":117,"organizations":139,"bestGrade":43,"headline":144,"lastVerified":85,"indexable":12,"euAiActTier":149,"euAiActBasis":150},"benefit-fraud-and-error-detection","AI for benefit fraud and error detection in social security","Benefit fraud and error detection","Risk models that help a social security or benefits agency decide which claims, payments and recipients to check for fraud or error, so that caseworkers verify the riskiest cases first, while every decision on entitlement stays with a person and the model is tested for fairness before and during use.",[21],[133,23,24],"fraud-prevention",[135,136],"prediction-and-scoring","anomaly-detection","back-office","assist",[140,36,141,142,143],"Centers for Medicare and Medicaid Services","Gemeente Rotterdam","U.S. Department of the Treasury, Bureau of the Fiscal Service","Uitvoeringsinstituut Werknemersverzekeringen (UWV)",{"kpi":145,"label":146,"unit":147,"n":82,"nUpTo":49,"kind":50,"value":148,"qualifier":52,"claimant":53,"organization":36,"vendorReported":11},"detection-rate-improvement","Detection improvement","multiplier",2.5,"high","Annex III point 5(a): AI systems used by or on behalf of public authorities to evaluate the eligibility of natural persons for essential public assistance benefits and services, or to grant, reduce, revoke or reclaim them. A fundamental rights impact assessment (Article 27) is required before a public body deploys it. A design that scores people over time on their social behaviour or personal characteristics and leads to unrelated or disproportionate detrimental treatment would fall under the Article 5(1)(c) prohibition on social scoring.",{"slug":152,"title":153,"shortTitle":154,"definition":155,"status":19,"industries":156,"functions":157,"patterns":159,"audience":115,"autonomy":32,"adoptionStage":33,"evidenceCount":97,"publicEvidenceCount":97,"organizations":160,"bestGrade":43,"headline":123,"lastVerified":85,"indexable":12,"euAiActTier":55,"euAiActBasis":164},"court-and-case-file-summarization","AI for court and case file summarization","Case file summarization","AI that condenses court filings, case files, evidence recordings and earlier decisions into structured summaries, chronologies and draft case reports with references to the source pages, so that judges, prosecutors, tribunal staff and government lawyers find what matters faster, while the person responsible reads the underlying material and makes every legal judgment.",[21],[158,24],"legal",[114,30,28],[120,161,162,163],"U.S. Department of Justice","Gemeente Amsterdam","Supremo Tribunal Federal","Annex III point 8(a) makes AI high risk when it is intended to assist a judicial authority in researching and interpreting facts and the law and in applying the law to a concrete set of facts. Tools for prosecutors fall under point 6(c) if they evaluate the reliability of evidence, and tools that assist the examination of asylum, visa or residence applications fall under point 7(c). Under Article 6(3) a system that only performs a narrow procedural task or a preparatory task, such as organising a file or transcribing and summarising it for the person who decides, may not be high risk, but the provider must document that assessment (Article 6(4)). Summaries of internal legal advice for government lawyers, as Amsterdam plans, are generally outside Annex III.",{"slug":166,"title":167,"shortTitle":168,"definition":169,"status":19,"industries":170,"functions":171,"patterns":172,"audience":115,"autonomy":32,"adoptionStage":33,"evidenceCount":97,"publicEvidenceCount":97,"organizations":173,"bestGrade":43,"headline":123,"lastVerified":54,"indexable":12,"euAiActTier":124,"euAiActBasis":177},"freedom-of-information-request-processing","AI for freedom of information request processing","Freedom of information requests","AI that helps a public body handle freedom of information and open government requests: logging and clarifying requests, spotting duplicates, searching and deduplicating the records in scope, proposing redactions with the exemption that applies, and drafting the response letter, with an FOI officer deciding what is released.",[21],[23,158,24],[30,66,113],[161,174,175,176],"U.S. Food and Drug Administration, Center for Drug Evaluation and Research","Provincie Noord-Holland","U.S. Department of the Interior","Tools that support staff in searching, deduplicating and proposing redactions are not listed in Annex III (point 5(a) covers eligibility for public assistance benefits and services, not access to documents), and every release decision stays with an officer. A public facing request assistant that talks to requesters would carry the Article 50(1) transparency duty.",{"slug":179,"title":180,"shortTitle":181,"definition":182,"status":19,"industries":183,"functions":184,"patterns":186,"audience":31,"autonomy":32,"adoptionStage":33,"evidenceCount":97,"publicEvidenceCount":97,"organizations":188,"bestGrade":43,"headline":123,"lastVerified":85,"indexable":12,"euAiActTier":55,"euAiActBasis":193},"immigration-and-visa-application-assistant","AI for immigration and visa applications, from applicant questions to case preparation","Immigration and visa application assistant","AI that helps applicants understand immigration and visa requirements and submit complete applications, and helps immigration staff prepare cases by extracting form data, classifying evidence, routing applications and supporting interviews, while every grant or refusal is decided by an officer against the immigration rules.",[21],[23,24,185],"operations",[27,30,66,187],"translation",[189,190,191,192],"Home Office (Visa, Status and Information Services)","U.S. Department of State (Bureau of Consular Affairs)","U.S. Immigration and Customs Enforcement","U.S. Citizenship and Immigration Services","Annex III point 7(c) makes AI high risk when it assists public authorities in examining applications for asylum, visas or residence permits, including assessing the reliability of evidence. Applicant facing information assistants that give general guidance fall under the Article 50 transparency duties (limited risk). Evidence classification, routing and interview support used in the examination are likely high risk, unless the provider documents under Article 6(3) that a component only performs a narrow procedural or preparatory task. That exception never applies to a system that profiles natural persons, which matters for routing on personal attributes or risk profiles.",{"slug":195,"title":196,"shortTitle":197,"definition":198,"status":19,"industries":199,"functions":200,"patterns":201,"audience":31,"autonomy":67,"adoptionStage":33,"evidenceCount":34,"publicEvidenceCount":34,"organizations":203,"bestGrade":43,"headline":209,"lastVerified":54,"indexable":12,"euAiActTier":86,"euAiActBasis":212},"non-emergency-service-request-routing","AI for non emergency service requests and 311 routing","Non emergency service request routing","An AI agent on a city's 311 style phone, chat and messaging channels that answers routine municipal questions, takes service requests such as potholes, missed collections or broken street lights with the right location and details, creates the case in the work order system and routes anything urgent or complex to the right team.",[21],[23,25,24],[27,29,66,202],"agentic-workflow",[72,204,205,206,80,207,208],"London Borough of Barnet","City of Kelowna","Galt Police Department","Newcastle City Council","Rio de Janeiro City Data Office (Escritório de Dados)",{"kpi":45,"label":46,"unit":47,"n":82,"nUpTo":49,"kind":50,"value":210,"qualifier":52,"claimant":211,"organization":205,"vendorReported":12},80,"vendor","A 311 assistant must disclose that it is AI (Article 50). It is not high risk while it only informs and creates service cases. If it evaluates or classifies emergency calls or sets dispatch priority for police, fire or medical services, it falls under Annex III point 5(d) and becomes high risk.",{"slug":214,"title":215,"shortTitle":216,"definition":217,"status":19,"industries":218,"functions":219,"patterns":221,"audience":115,"autonomy":32,"adoptionStage":116,"evidenceCount":117,"publicEvidenceCount":117,"organizations":222,"bestGrade":43,"headline":227,"lastVerified":54,"indexable":12,"euAiActTier":55,"euAiActBasis":229},"permit-and-licence-application-processing","AI for permit and licence application processing","Permit and licence application processing","AI that helps applicants submit complete permit and licence applications and helps officers process them, by answering questions about requirements, checking applications for missing or inconsistent information, pulling the relevant policies, history and constraints, and drafting reports, while the grant or refusal stays with a named officer or a published rule.",[21],[23,24,220],"regulatory-compliance",[30,202,28,27],[223,40,224,225,226],"Intellectual Property Office","U.S. Fish and Wildlife Service","U.S. Department of Agriculture","West Berkshire Council",{"kpi":45,"label":46,"unit":47,"n":82,"nUpTo":49,"kind":50,"value":228,"qualifier":84,"claimant":53,"organization":40,"vendorReported":11},85,"Permit and licence decisions are not listed as such in Annex III, so officer decision support is usually minimal risk, and an assistant that talks to applicants carries the Article 50 transparency duty. The exceptions are permits in an Annex III area: examining applications for visas and residence permits (point 7) and evaluating eligibility for essential public assistance benefits and services (point 5(a)) are high risk. Solely automated decisions with legal or similarly significant effects on a person fall under GDPR Article 22 whatever the tier.",{"slug":231,"title":232,"shortTitle":233,"definition":234,"status":19,"industries":235,"functions":236,"patterns":238,"audience":137,"autonomy":32,"adoptionStage":33,"evidenceCount":117,"publicEvidenceCount":117,"organizations":239,"bestGrade":43,"headline":244,"lastVerified":85,"indexable":12,"euAiActTier":124,"euAiActBasis":246},"public-consultation-response-analysis","AI for public consultation response analysis","Consultation response analysis","AI that reads every free text response to a public consultation or rulemaking comment period, proposes themes, maps each response to the themes that officials have validated, flags duplicates, campaign letters and responses that need special attention, and produces counts and summaries for the analysts who write the government's response.",[21],[23,237],"analytics-and-reporting",[114,66,113],[240,241,242,122,243],"Centers for Disease Control and Prevention","Board of Governors of the Federal Reserve System","Department for Transport","U.S. Department of Transportation, Office of the Secretary",{"kpi":45,"label":46,"unit":47,"n":82,"nUpTo":49,"kind":50,"value":245,"qualifier":84,"claimant":53,"organization":242,"vendorReported":11},92,"Organising and summarising consultation responses for analysts does not decide on individuals and is not listed in Annex III, so no high risk obligations apply. If AI generated text is published to inform the public on matters of public interest without human review and editorial responsibility, Article 50(4) requires disclosure.",{"slug":248,"title":249,"shortTitle":250,"definition":251,"status":19,"industries":252,"functions":253,"patterns":255,"audience":115,"autonomy":138,"adoptionStage":33,"evidenceCount":256,"publicEvidenceCount":256,"organizations":257,"bestGrade":43,"headline":123,"lastVerified":85,"indexable":12,"euAiActTier":55,"euAiActBasis":264},"inspection-prioritization","AI for risk based inspection prioritization in food safety, workplace and environmental regulation","Inspection prioritization","Models that predict which premises, operators or activities are most likely to be non compliant, so that inspectors in food safety, workplace safety, environmental and other regulation spend their visits where the risk is highest, ideally with inspectors choosing the visits and random inspections testing the model.",[21],[254,24,220],"risk-management",[135,136],6,[258,259,260,261,262,263],"Care Quality Commission","Driver and Vehicle Standards Agency","U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance","Food Standards Agency","Nederlandse Arbeidsinspectie","Nederlandse Voedsel- en Warenautoriteit (NVWA)","Prioritizing inspections of businesses and premises is not a use listed in Annex III, so such a system is usually not high risk. The assessment changes when it scores natural persons, such as individual licensed professionals or sole traders, and the inspectorate acts as a law enforcement authority: assessing the risk that a person offends, or profiling persons in the detection or investigation of criminal offences, is high risk under Annex III point 6 (d) and (e), and predicting that a person will commit a criminal offence based solely on profiling is prohibited by Article 5(1)(d). GDPR applies wherever sole traders, home based businesses or named professionals are scored.",{"slug":266,"title":267,"shortTitle":268,"definition":269,"status":19,"industries":270,"functions":271,"patterns":272,"audience":137,"autonomy":138,"adoptionStage":33,"evidenceCount":273,"publicEvidenceCount":273,"organizations":274,"bestGrade":43,"headline":123,"lastVerified":85,"indexable":12,"euAiActTier":55,"euAiActBasis":276},"tax-compliance-risk-scoring","AI for tax compliance risk scoring and audit selection","Tax compliance risk scoring","Models that score tax returns, taxpayers and transactions for the risk of error, underreporting or fraud, so that a tax administration spends its audit and compliance capacity where the risk is highest, with an officer deciding every compliance action and the selection itself monitored for fairness.",[21],[254,24,133],[135,136],3,[275,100,101],"Belastingdienst","Risk selection for administrative tax audits is not listed in Annex III, and Recital 59 says systems used by tax and customs authorities in administrative proceedings should not be treated as high risk law enforcement systems. Use in criminal tax investigations (Annex III point 6, law enforcement), or evaluating the eligibility of natural persons for public assistance benefits run through the tax system (Annex III point 5(a)), can make it high risk. When individuals are scored in administrative tax work, the GDPR applies, including its profiling rules (Member States may restrict some rights for taxation matters under Article 23). Article 22 applies when a decision with legal or similarly significant effect is taken solely by the model. Criminal investigations fall outside the GDPR and under the Law Enforcement Directive (EU) 2016/680 instead.",{"slug":278,"title":279,"shortTitle":280,"definition":281,"status":19,"industries":282,"functions":286,"patterns":287,"audience":115,"autonomy":32,"adoptionStage":68,"evidenceCount":117,"publicEvidenceCount":117,"organizations":289,"bestGrade":43,"headline":123,"lastVerified":85,"indexable":12,"euAiActTier":55,"euAiActBasis":294},"meeting-summarization-and-action-items","AI meeting summarization and action items","Meeting summaries and action items","AI that summarizes internal and operational meetings, such as team, project, board and case meetings: it transcribes an online or in person meeting with the participants' knowledge and produces a summary, decisions and action items with owners and dates for the organizer to check and share. It is the general purpose tool; client advice meetings and sales calls, which feed a regulated record or a sales pipeline, have their own pages.",[283,21,284,285],"cross-industry","technology","professional-services",[64,185],[114,288],"speech-analytics",[290,291,292,293,77],"U.S. Department of Labor","Ministry of Justice","Softcat","Trace3","Transcribing and summarizing meetings for the participants is minimal risk. It becomes high risk under Annex III point 4(b) if transcripts are analysed to monitor or evaluate individual workers' performance or behaviour, and inferring participants' emotions from their voices or faces at work is prohibited by Article 5(1)(f). Recording and transcription also need a lawful basis and clear information to participants under GDPR.",{"slug":296,"title":297,"shortTitle":298,"definition":299,"status":19,"industries":300,"functions":303,"patterns":305,"audience":115,"autonomy":67,"adoptionStage":68,"segment":306,"evidenceCount":273,"publicEvidenceCount":273,"organizations":307,"bestGrade":43,"headline":123,"lastVerified":311,"indexable":12,"euAiActTier":55,"euAiActBasis":312},"property-valuation-support","AI support for property valuation and appraisal","Property valuation support","AI, most often an automated valuation model, that estimates a property's market value from comparable sales, property characteristics and location data, and either offers to replace a full appraisal within set limits or gives a professional valuer a first pass estimate, the closest comparable sales and a reliability score, so the valuer's time goes to the properties that need a person's judgment.",[301,302,21],"real-estate","banking",[304,24,185],"lending-and-credit",[135,66],"lending",[308,309,310],"Fannie Mae","Riverside County Assessor-County Clerk-Recorder","Valuation Office Agency","2026-09-28","An automated valuation model values the collateral, not the person, so it is not itself listed in Annex III; the EU Mortgage Credit Directive treats property valuation (Article 19) and the creditworthiness assessment of the borrower (Article 18) as separate steps, and Article 18(3) says the creditworthiness assessment must not be based predominantly on the value of the property exceeding the amount of credit, or on an assumption that the property's value will increase. The valuation becomes relevant to Annex III point 5(b), creditworthiness assessment of natural persons, only where its output is built into a separate system that evaluates the borrower's creditworthiness, and whether that happens depends on how the lender designs the credit decision, not on the valuation model itself.",{"slug":314,"title":315,"shortTitle":316,"definition":317,"status":19,"industries":318,"functions":319,"patterns":320,"audience":31,"autonomy":32,"adoptionStage":33,"evidenceCount":321,"publicEvidenceCount":321,"organizations":322,"bestGrade":43,"headline":123,"lastVerified":54,"indexable":12,"euAiActTier":55,"euAiActBasis":326},"public-service-translation","AI translation and interpretation for multilingual public services","Public service translation","AI that translates government content, documents and conversations between officials and the public, in writing and in real time speech, so people can use public services in their own language, with human translators and interpreters reviewing what carries legal or safety weight.",[21],[23,25,185],[187,27,288,30],8,[323,324,325,38,101,79,80,190],"Baltimore City 911 (Emergency Communications)","Delaware County","European Commission","Assistants that talk with residents must tell people they are interacting with AI (Article 50(1)), and AI generated text published to inform the public on matters of public interest must be disclosed unless it has had human review under editorial responsibility (Article 50(4)). Internal translation that neither talks with people nor is published carries no specific obligation. Translation can also sit inside an Annex III process, such as examining asylum, visa or residence permit applications (point 7(c)) or evaluating emergency calls and dispatching emergency services (point 5(d)). Whether the translation component is itself high risk depends on its intended purpose (Article 6(3) exempts systems that only perform a narrow procedural task); either way it should be governed with that high risk process.",1790598319442]