[{"data":1,"prerenderedAt":625},["ShallowReactive",2],{"uc-public-information-avatar-video":3,"uc-regulations":396},{"useCase":4,"evidence":177,"blitsAiDeployments":259,"benchmarks":260,"indicative":267,"related":270,"indexability":394,"includeUnpublished":183},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":16,"functions":19,"patterns":21,"channels":24,"audience":25,"autonomy":26,"adoptionStage":27,"problem":28,"problemStats":29,"howItWorks":30,"valueDrivers":31,"kpis":36,"indicativeValue":40,"macroEstimates":75,"feasibility":76,"implementation":88,"risk":130,"blitsAi":155,"faq":157,"related":167,"datePublished":172,"dateModified":172,"lastVerified":172,"changelog":173,"slug":176},"AI avatar videos for public information in many languages","Public information avatar video","AI avatar videos for public information","Public bodies turn service texts into avatar videos in many languages. Walsall Council translates each into 52 languages; Amsterdam's GGD piloted three languages.","published","AI avatar video for public information turns approved service texts into presenter videos in several languages, for residents with limited literacy or local language skills. Communications staff and translators check the script and the translation before the video goes online or onto the screens a service uses.",[12,13,14,15],"AI avatar videos for residents","multilingual public information video","AI presenter video for local government","avatar video for citizen communication",[17,18],"government","healthcare",[20],"citizen-services",[22,23],"content-generation","translation",[],"customer-facing","copilot","emerging","Most public information is written, in the national language, and published as leaflets, web pages\nand PDFs. The municipality of Amsterdam says nearly all information from the city and its public\nhealth service (GGD) is written and in Dutch, so important information reaches people who do not\nspeak Dutch or read with difficulty too little. Walsall Council, which serves more than 294,000\nresidents in a diverse borough, found inaccessible formats left behind residents with limited\nEnglish, visual impairments or low literacy, and that traditional video was slow and costly.\n\nThe same gap appears in places that are not a city hall. Serco's HMP Dovegate found that written\nmessages did not reach prisoners whose average reading age is around seven or who do not speak\nEnglish, and that PDF messages got little attention.",[],"1. **Start from approved text.** Communications staff pick the leaflet, web page or notice that\n   matters most for the audience, such as the vaccination information Amsterdam's GGD started\n   with, and write it for speaking.\n2. **Translate with AI.** The text is translated into the languages of the local community. Walsall\n   translates each video into 52 languages with a few clicks.\n3. **Check the translation.** In Amsterdam a communication adviser or translator checks the\n   translated texts, and checks again the text the avatar speaks, so two human checks happen before\n   publication.\n4. **Generate the video.** An avatar speaks the text. Walsall also built avatars of real local staff\n   to make the content more relatable, with sign off and moderation steps built into the tool.\n5. **Publish where the audience is.** The videos go on the service's web page, as in Amsterdam, or\n   on the intranet and in cell screens, as at Dovegate.\n6. **Track what changes.** Synthesia's case study says Walsall is measuring whether the videos reduce email and phone queries.\n   Synthesia's Serco case study reports engagement for its violence reduction campaign.",[32,33,34,35],"inclusion-and-access","speed","cost-to-serve","customer-experience",[37,38,39],"cycle-time-days","processing-time-reduction","contact-deflection",{"referenceOrg":41,"inputs":42,"formula":70,"currency":71,"period":72,"resultLabel":73,"caveat":74},"A local authority that publishes 100 resident information videos a year",[43,49,56,63],{"key":44,"label":45,"low":46,"high":46,"unit":47,"note":48},"videosPerYear","Videos published per year",100,"videos per year","The reference authority. Replace with your own volume.",{"key":50,"label":51,"low":52,"high":53,"unit":54,"note":55},"languagesPerVideo","Languages added per video",4,8,"languages","Editorial assumption, well below the 52 languages Walsall Council reports for each video.",{"key":57,"label":58,"low":59,"high":60,"unit":61,"note":62},"costPerLanguageVersion","Cost of one translated and voiced version today",150,500,"USD per version","Editorial assumption, replace with your own translation and voice recording quotes.",{"key":64,"label":65,"low":66,"high":67,"unit":68,"note":69},"savedShare","Share of that cost avoided with AI translation and an avatar",0.4,0.7,"fraction of cost","Editorial assumption. Synthesia's Walsall case study reports production time falling from at least a week to 2 days, a time reduction and not a cost reduction, so this range is not taken from it. The low value is more cautious because translation review stays.","videosPerYear * languagesPerVideo * costPerLanguageVersion * savedShare","USD","per year","Annual translation and production spend avoided","Counts translation and voice production only. It leaves out license costs, review time by translators and communications staff, and any effect on how many residents understand the information or contact the authority afterward, which none of the three deployments on this page has published. The Walsall time figure comes from the vendor, Synthesia.",[],{"complexity":77,"complexityNote":78,"dataPrerequisites":79,"integrations":84},"low","The video and translation tool is a ready made product, as Walsall's and Amsterdam's use of Synthesia and similar tools shows. What the authority supplies is a source text that has been checked by hand, a translator for each language, an accessibility review of the finished video, and a decision on where the videos are hosted and who may sign them off.",[80,81,82,83],"Approved source texts written for speaking, with a named content owner","A translator or native speaker reviewer for each language offered","Consent from any staff member whose likeness is used for a custom avatar","A list of the languages and formats the community needs, based on local data",[85,86,87],"The authority's website or service portal that hosts the videos","Content management and sign off workflow","Where relevant, intranet or screen systems inside a facility",{"steps":89,"guardrails":105,"humanInTheLoop":111,"kpisToInstrument":112,"failureModes":117},[90,93,96,99,102],{"title":91,"detail":92},"Pick information with a language or literacy gap","Start with a topic where residents are known to miss written information, as Amsterdam's GGD did with vaccination texts, and where wrong information would be easy to correct.",{"title":94,"detail":95},"Set two human checks","Have a translator check the translated text and a communications adviser check what the avatar finally says. Amsterdam's register entry names two checks, each done by a communications adviser or a translator.",{"title":97,"detail":98},"Decide the avatar policy","Choose between stock avatars and avatars of real staff, get written consent for the latter, and label the videos as AI generated.",{"title":100,"detail":101},"Build accessibility in","Add captions and transcripts and use accessible templates, as Walsall describes with WCAG compliant templates, and test with residents who read little.",{"title":103,"detail":104},"Measure outcomes for residents","Track views, queries and calls on the topic before and after, per language, so the program can show whether people understood. Amsterdam reports only that the videos were watched a lot.",[106,107,108,109,110],"Every translated text and every spoken script checked by a person before publication","Avatars labeled as AI generated and no real person's likeness without written consent","No personal data about residents used to generate the videos","Moderation and sign off workflow so one team cannot publish for another unseen","Captions and transcripts published with each video","A communications adviser signs off each script and a translator signs off each language, and the service owner approves any video that tells residents what they must or must not do.",[113,114,115,116],"Days from approved text to published video, per language","Views and completion per language version","Emails and calls on the topic before and after publication","Translator corrections per video",[118,121,124,127],{"title":119,"detail":120},"Wrong or stilted translation in a language nobody on staff reads","A mistranslated instruction reaches residents who trust the video. Use a named translator per language and sample after publication.",{"title":122,"detail":123},"Videos that residents cannot use","An avatar speaks quickly or the video lacks captions, so people who read little still miss the point. Test with the audience and add captions and transcripts.",{"title":125,"detail":126},"A pilot that ends without a stated reason","Amsterdam's register entry shows its GGD avatar pilot ended in February 2026 without a reason. Record the decision criteria and results at the start, so an ending teaches something.",{"title":128,"detail":129},"Trust damaged by hidden AI","Residents learn that a friendly local face was synthetic. Label the videos and say when an avatar is modeled on a real staff member.",{"euAiAct":131,"regulations":134,"guidance":137,"controls":149,"incidents":154},{"tier":132,"basis":133},"limited","Producing information videos is not listed in Annex III. Providers of tools that generate synthetic video must mark the output as AI generated, and deployers must disclose deep fakes, such as an avatar modeled on a real staff member (Article 50(2) and (4)). A system that also decided who gets a benefit or service would need a separate assessment under Annex III point 5.",[135,136],"eu-ai-act","gdpr",[138,144],{"title":139,"issuer":140,"region":141,"url":142,"note":143},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F","Marking of synthetic video and audio by providers, and disclosure of deep fakes by deployers.",{"title":145,"issuer":146,"region":141,"url":147,"note":148},"Code of Practice on Transparency of AI generated Content","European Commission","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fcode-practice-ai-generated-content","Supports compliance with the marking and labeling duties for AI generated content.",[150,151,152,153],"Public register entry or equivalent transparency record for the avatar program","Translator sign off log per language","Register of avatars and consent records for any real person's likeness","Accessibility check before each publication",[],{"howToBuild":156},"Blits.ai does not render presenter video files, so the video itself comes from a dedicated avatar\ntool. The text work around it can run on Blits.ai. An **agentic workflow** takes approved service\npages from the **knowledge base**, drafts a spoken script, translates it with **machine\ntranslation** and **multi language** content, and waits for **human in the loop** approval by the\ncommunications adviser and the translator before the script is exported, with a full audit trail\nper run. **Text to speech** across many providers produces audio only versions for people who\nprefer to listen.\n\nThe same knowledge base can power an **AI agent** on the authority's website, through **web chat**,\n**WhatsApp** or a **digital human** on a screen, that answers residents' follow up questions in\ntheir own language, with **guardrails** and **human handover** to staff. **Test suites** check\nthat translated answers stay faithful to the approved text, and **EU data residency** keeps\nresident data in the EU.",[158,161,164],{"question":159,"answer":160},"Who has deployed AI avatar videos for residents?","Public deployments are few. Walsall Council in the UK translates each video into 52 languages with Synthesia, Serco's HMP Dovegate sends Synthesia AI video updates in seven languages to prisoners, and the municipality of Amsterdam piloted GGD vaccination videos in three languages from May 2024. Amsterdam lists the pilot as out of use since February 2026.",{"question":162,"answer":163},"Does it save money for a public body?","Synthesia's case study reports that a Walsall video that took at least a week now takes 2 days, which is a vendor figure about time, not cost. The case study also says Walsall is measuring whether videos reduce email and phone queries and gives no result. Amsterdam's register entry says only that early results were promising.",{"question":165,"answer":166},"Do residents have to be told the presenter is an AI avatar?","Under the EU AI Act, deployers must disclose deep fakes, such as an avatar modeled on a real staff member, and providers must mark synthetic video as AI generated. Labeling every avatar video is the simple policy, and Amsterdam's register entry shows how a public body can publish the checks it uses.",[168,169,170,171],"public-service-translation","sign-language-avatar-translation","citizen-information-assistant","corporate-and-marketing-avatar-video","2026-10-14",[174],{"date":172,"note":175},"First published","public-information-avatar-video",[178,206,239],{"title":179,"useCases":180,"organization":181,"vendors":185,"summary":189,"stage":190,"year":191,"channels":192,"languages":193,"metrics":194,"outcomeDisclosed":183,"sources":195,"verification":201,"grade":203,"id":204,"organizationSlug":205},"Gemeente Amsterdam: GGD avatar videos on vaccinations in three languages",[176],{"name":182,"anonymized":183,"country":184,"region":141,"industry":17},"Gemeente Amsterdam",false,"NL",[186],{"name":187,"role":188},"XS2AUDIO B.V.","integrator","The municipality of Amsterdam and its public health service (GGD) piloted AI avatar videos in the EU project CommuniCity to reach residents who do not speak Dutch or read with difficulty. Texts about vaccinations were translated with AI and spoken by a human like avatar in three languages for the GGD vaccination page. Two human checks applied: a communication adviser or translator reviewed the translated texts and the texts the avatar speaks. The register entry says early results were promising and the videos were watched a lot, without giving figures. The entry runs from May 2024 and is marked as out of use since February 2026.","paused",2024,[],[],[],[196],{"url":197,"title":198,"publisher":199,"date":200},"https:\u002F\u002Falgoritmes.overheid.nl\u002Fen\u002Falgoritme\u002F23372779","GGD Avatars, Gemeente Amsterdam","Algoritmeregister (Dutch government)","2026-07-02",{"level":202,"checkedAt":172},"source-verified","B","gemeente-amsterdam-ggd-avatar-vaccination-videos","gemeente-amsterdam",{"title":207,"useCases":208,"organization":209,"vendors":213,"summary":217,"stage":218,"year":219,"channels":220,"languages":221,"metrics":222,"outcomeDisclosed":231,"sources":232,"verification":235,"grade":236,"id":237,"organizationSlug":238},"Walsall Council: resident videos translated into 52 languages",[176],{"name":210,"anonymized":183,"country":211,"region":141,"industry":17,"wikidata":212},"Walsall Council","GB","Q7963789",[214],{"name":215,"role":216},"Synthesia","platform","Walsall Council in the West Midlands delivers more than 400 services to about 294,000 residents, many with limited English, visual impairments or low literacy, and found that leaflets, PDFs and outsourced video were slow and costly. After a trial it made video its default channel, using Synthesia avatars, including custom avatars of real staff, built in moderation and sign off workflows, and translation of each video into 52 languages. Synthesia reports that production fell from at least a week to 2 days. The case study says Walsall is measuring whether the videos reduce email and phone queries, and gives no result for that.","production",2026,[],[],[223],{"kpi":37,"value":224,"unit":225,"qualifier":226,"baseline":227,"claimant":228,"quote":229,"sourceUrl":230},2,"days","exact","at least a week to produce a video before Synthesia","vendor","3.5x Faster Production: What once took at least a week can now be done in 2 days.","https:\u002F\u002Fwww.synthesia.io\u002Fcase-studies\u002Fwalsall-council",true,[233],{"url":230,"title":234,"publisher":215},"How Walsall Council delivers improved resident experiences through multilingual AI videos in over 50 languages",{"level":202,"checkedAt":172},"C","walsall-council-synthesia-resident-videos",null,{"title":240,"useCases":241,"organization":242,"vendors":245,"summary":247,"stage":218,"year":248,"channels":249,"languages":251,"metrics":252,"outcomeDisclosed":231,"sources":253,"verification":257,"grade":236,"id":258,"organizationSlug":238},"Serco: AI video for communication with prisoners at HMP Dovegate",[176],{"name":243,"anonymized":183,"country":211,"region":141,"industry":17,"wikidata":244},"Serco","Q499104",[246],{"name":215,"role":216},"Serco runs HMP Dovegate, a Category B prison for up to 1,160 prisoners, where many have low literacy and some do not speak English, and where an Ofsted inspection found education needed improvement. The prison now sends weekly and monthly video updates made with Synthesia's AI video platform, covering news, incentive announcements, director messages and behavior campaigns, in seven languages and shown on in cell devices. Synthesia reports nearly nine times the engagement for a violence reduction campaign and that 55% of prisoners said video education was more effective than paper. The page offers these as results without a stated method, and the record maps them to no KPI.",2025,[250],"internal-tools",[],[],[254],{"url":255,"title":256,"publisher":215},"https:\u002F\u002Fwww.synthesia.io\u002Fcase-studies\u002Fserco","How Serco made prison comms more accessible and 9x more engaging with AI video at Dovegate",{"level":202,"checkedAt":172},"serco-dovegate-synthesia-prisoner-communication",0,[261],{"kpi":37,"label":262,"unit":225,"aggregate":183,"higherIsBetter":183,"n":263,"nUpTo":259,"median":224,"min":224,"max":224,"byClaimant":264,"vendorOnly":231,"points":265},"Cycle time",1,{"organization":259,"vendor":263,"regulator":259,"independent":259},[266],{"evidenceId":237,"organization":210,"value":224,"qualifier":226,"claimant":228,"grade":236,"pooled":231},{"low":268,"high":269},24000,280000,[271,299,316,366],{"slug":168,"title":272,"shortTitle":273,"definition":274,"status":9,"industries":275,"functions":276,"patterns":279,"audience":25,"autonomy":26,"adoptionStage":283,"evidenceCount":284,"publicEvidenceCount":284,"organizations":285,"bestGrade":203,"headline":238,"lastVerified":298,"indexable":231},"AI translation and interpretation for multilingual public services","Public service translation","AI public service translation is AI that translates government content, documents and conversations between officials and the public, in writing and in real time speech. This lets people use public services in their own language, with human translators and interpreters reviewing anything that carries legal or safety weight.",[17],[20,277,278],"customer-service","operations",[23,280,281,282],"conversational-agent","speech-analytics","document-processing","early-adopters",13,[286,287,288,146,289,290,291,292,293,294,295,296,297],"Baltimore City 911 (Emergency Communications)","Digital India BHASHINI Division","Delaware County","Federal Emergency Management Agency","Internal Revenue Service","Korea Airports Corporation","Madrid Destino","Montgomery County Government","Presidency of Religious Affairs at the Grand Mosque and the Prophet's Mosque","UAE Public Prosecution","U.S. Customs and Border Protection","U.S. Department of State (Bureau of Consular Affairs)","2026-09-26",{"slug":169,"title":300,"shortTitle":301,"definition":302,"status":9,"industries":303,"functions":306,"patterns":308,"audience":25,"autonomy":309,"adoptionStage":27,"evidenceCount":310,"publicEvidenceCount":310,"organizations":311,"bestGrade":236,"headline":238,"lastVerified":315,"indexable":231},"AI sign language avatar translation for public information","Sign language avatar translation","Sign language avatar translation is AI that turns written content and video captions into a sign language such as British or American Sign Language, shown by a rendered signing avatar. This lets Deaf and hard of hearing people get travel updates, public information and training content without waiting for a human interpreter to be filmed or booked.",[17,304,305],"logistics-and-transportation","cross-industry",[20,277,307],"human-resources",[23,22],"supervised-agent",3,[312,313,314],"Port Authority of New York and New Jersey","Rail Delivery Group","Transport for All","2026-09-29",{"slug":170,"title":317,"shortTitle":318,"definition":319,"status":9,"industries":320,"functions":321,"patterns":323,"audience":25,"autonomy":309,"adoptionStage":327,"evidenceCount":328,"publicEvidenceCount":329,"organizations":330,"bestGrade":358,"headline":359,"lastVerified":365,"indexable":231},"AI assistant for citizen information and government services","Citizen information assistant","A citizen information assistant is 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. It 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.",[17],[20,277,322],"knowledge-management",[324,280,325,326],"rag-knowledge-assistant","voice-agent","classification-and-routing","mainstream",31,29,[331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,292,349,350,351,293,352,353,354,355,356,357],"Abu Dhabi Government (TAMM)","National Agency for Information Society (AKSHI), Albania","Australian Taxation Office","Bundesagentur für Arbeit","Change Please","City of Amarillo","City of Helsinki","Department of Information and Communications Technology (DICT)","Ministry of Digital Transformation of Ukraine (Diia)","Dubai Land Department (DLD)","Dubai Police","Driver and Vehicle Licensing Agency","Estonian Information System Authority (RIA)","Foreign, Commonwealth and Development Office","Gemeente Tilburg","Ghana National Disaster Management Organisation","Government Digital Service","Government of the City of Buenos Aires","Ministério da Gestão e da Inovação em Serviços Públicos (MGI)","Ministry of Hajj and Umrah","Ministry of Interior (Saudi Arabia)","City of New York","Ministry of Digital Affairs of Poland","Qatar Central Bank","Qatar Ministry of Commerce and Industry","Roads and Transport Authority, Dubai (RTA)","Vocational Education Sector, Ministry of Education, Higher Education and Vocational Education (Sri Lanka)","A",{"kpi":360,"label":361,"unit":362,"n":224,"nUpTo":259,"kind":363,"value":364,"qualifier":226,"claimant":228,"organization":293,"vendorReported":231},"customer-satisfaction","Customer satisfaction","percent","reported",50,"2026-09-27",{"slug":171,"title":367,"shortTitle":368,"definition":369,"status":9,"industries":370,"functions":376,"patterns":378,"audience":379,"autonomy":26,"adoptionStage":283,"evidenceCount":380,"publicEvidenceCount":380,"organizations":381,"bestGrade":236,"headline":391,"lastVerified":172,"indexable":231},"AI avatar and translated video for corporate communications and marketing","Avatar video for communications","AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing. Communications and marketing teams review the script and the translation, then publish, instead of booking talent, a studio and a voice artist again each time a line or a language changes.",[305,371,372,373,374,375],"insurance","technology","manufacturing","travel-and-hospitality","pharma-and-life-sciences",[377],"marketing",[22,23],"employee-facing",9,[382,383,384,385,386,387,388,389,390],"Avantor","ERGO Group","HENNGE","HubSpot","Miro","SimCorp","trivago","Workday","Würth Group",{"kpi":38,"label":392,"unit":362,"n":310,"nUpTo":259,"kind":393,"value":364,"qualifier":226,"claimant":228,"organization":238,"vendorReported":231},"Cycle time reduction","median",{"indexable":231,"reasons":395},[],[397,402,407,415,423,430,436,443,451,458,464,470,476,483,490,496,502,508,514,520,525,530,536,543,550,555,560,566,572,577,585,592,597,603,609,614,619],{"id":135,"label":398,"issuer":140,"region":141,"url":399,"description":400,"useCases":401,"indexable":231},"EU AI Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","Regulation (EU) 2024\u002F1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",295,{"id":136,"label":403,"issuer":140,"region":141,"url":404,"description":405,"useCases":406,"indexable":231},"GDPR","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",265,{"id":408,"label":409,"issuer":410,"region":411,"url":412,"description":413,"useCases":414,"indexable":231},"iso-42001","ISO\u002FIEC 42001","ISO and IEC","global","https:\u002F\u002Fwww.iso.org\u002Fstandard\u002F81230.html","The international management system standard for AI.",148,{"id":416,"label":417,"issuer":418,"region":419,"url":420,"description":421,"useCases":422,"indexable":231},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","north-america","https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",115,{"id":424,"label":425,"issuer":426,"region":141,"url":427,"description":428,"useCases":429,"indexable":231},"uk-gdpr","UK GDPR","Information Commissioner's Office","https:\u002F\u002Fico.org.uk\u002Ffor-organisations\u002Fuk-gdpr-guidance-and-resources\u002F","The UK's version of the GDPR, including rules on solely automated decisions.",84,{"id":431,"label":432,"issuer":140,"region":141,"url":433,"description":434,"useCases":435,"indexable":231},"dora","DORA","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2022\u002F2554\u002Foj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",73,{"id":437,"label":438,"issuer":439,"region":141,"url":440,"description":441,"useCases":442,"indexable":231},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https:\u002F\u002Fwww.fca.org.uk\u002Ffirms\u002Fconsumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",53,{"id":444,"label":445,"issuer":446,"region":447,"url":448,"description":449,"useCases":450,"indexable":231},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https:\u002F\u002Fwww.mas.gov.sg\u002Fnews\u002Fmedia-releases\u002F2025\u002Fmas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",37,{"id":452,"label":453,"issuer":454,"region":447,"url":455,"description":456,"useCases":457,"indexable":231},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https:\u002F\u002Fwww.apra.gov.au\u002Foperational-risk-management","Australian operational risk standard covering critical operations and material service providers.",26,{"id":459,"label":460,"issuer":140,"region":141,"url":461,"description":462,"useCases":463,"indexable":231},"nis2","NIS2 Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2022\u002F2555\u002Foj","Directive (EU) 2022\u002F2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",23,{"id":465,"label":466,"issuer":467,"region":411,"url":468,"description":469,"useCases":463,"indexable":231},"pci-dss","PCI DSS","PCI Security Standards Council","https:\u002F\u002Fwww.pcisecuritystandards.org\u002F","Security standard for any system that stores, processes or transmits cardholder data.",{"id":471,"label":472,"issuer":473,"region":419,"url":474,"description":475,"useCases":463,"indexable":231},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https:\u002F\u002Fwww.federalreserve.gov\u002Fboarddocs\u002Fsrletters\u002F2011\u002Fsr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":477,"label":478,"issuer":479,"region":419,"url":480,"description":481,"useCases":482,"indexable":231},"hipaa","HIPAA","US Department of Health and Human Services","https:\u002F\u002Fwww.hhs.gov\u002Fhipaa\u002Findex.html","US rules for the privacy and security of protected health information.",20,{"id":484,"label":485,"issuer":486,"region":141,"url":487,"description":488,"useCases":489,"indexable":231},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https:\u002F\u002Fwww.gov.uk\u002Fgovernment\u002Fcollections\u002Falgorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",18,{"id":491,"label":492,"issuer":140,"region":141,"url":493,"description":494,"useCases":495,"indexable":231},"eu-accessibility-act","European Accessibility Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2019\u002F882\u002Foj","Directive (EU) 2019\u002F882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",15,{"id":497,"label":498,"issuer":499,"region":411,"url":500,"description":501,"useCases":495,"indexable":231},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https:\u002F\u002Fwww.fatf-gafi.org\u002Fen\u002Fpublications\u002FFatfrecommendations\u002FFatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",{"id":503,"label":504,"issuer":505,"region":419,"url":506,"description":507,"useCases":495,"indexable":231},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https:\u002F\u002Fwww.fcc.gov\u002Fconsumers\u002Fguides\u002Fstop-unwanted-robocalls-and-texts","US consent rules for automated and prerecorded calls and texts; the FCC has confirmed AI generated voices count as artificial voices.",{"id":509,"label":510,"issuer":140,"region":141,"url":511,"description":512,"useCases":513,"indexable":231},"eu-amlr","EU Anti Money Laundering Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1624\u002Foj","Regulation (EU) 2024\u002F1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":515,"label":516,"issuer":517,"region":419,"url":518,"description":519,"useCases":284,"indexable":231},"us-bsa","Bank Secrecy Act","FinCEN","https:\u002F\u002Fwww.fincen.gov\u002Fresources\u002Fstatutes-and-regulations\u002Fbank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",{"id":521,"label":522,"issuer":140,"region":141,"url":523,"description":524,"useCases":284,"indexable":231},"eu-psd2","PSD2","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2015\u002F2366\u002Foj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":526,"label":527,"issuer":140,"region":141,"url":528,"description":529,"useCases":284,"indexable":231},"solvency-ii","Solvency II","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2009\u002F138\u002Foj","Directive 2009\u002F138\u002FEC: risk based capital, governance and model requirements for insurers.",{"id":531,"label":532,"issuer":533,"region":411,"url":534,"description":535,"useCases":284,"indexable":231},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https:\u002F\u002Fwww.berec.europa.eu\u002F","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":537,"label":538,"issuer":539,"region":419,"url":540,"description":541,"useCases":542,"indexable":231},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https:\u002F\u002Fwww.consumerfinance.gov\u002Frules-policy\u002Fregulations\u002F1002\u002F9\u002F","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",12,{"id":544,"label":545,"issuer":546,"region":141,"url":547,"description":548,"useCases":549,"indexable":231},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https:\u002F\u002Fwww.eba.europa.eu\u002Fregulation-and-policy\u002Fcredit-risk\u002Fguidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",11,{"id":551,"label":552,"issuer":140,"region":141,"url":553,"description":554,"useCases":549,"indexable":231},"eecc","European Electronic Communications Code","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2018\u002F1972\u002Foj","Directive (EU) 2018\u002F1972: consumer protection, contract, switching and security rules for telecom operators.",{"id":556,"label":557,"issuer":140,"region":141,"url":558,"description":559,"useCases":549,"indexable":231},"mifid-ii","MiFID II","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F65\u002Foj","Directive 2014\u002F65\u002FEU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":561,"label":562,"issuer":446,"region":447,"url":563,"description":564,"useCases":565,"indexable":231},"mas-notice-626","MAS Notice 626","https:\u002F\u002Fwww.mas.gov.sg\u002Fregulation\u002Fnotices\u002Fnotice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",10,{"id":567,"label":568,"issuer":569,"region":419,"url":570,"description":571,"useCases":53,"indexable":231},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https:\u002F\u002Fwww.ftc.gov\u002Flegal-library\u002Fbrowse\u002Fstatutes\u002Ffair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",{"id":573,"label":574,"issuer":140,"region":141,"url":575,"description":576,"useCases":53,"indexable":231},"eu-idd","Insurance Distribution Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2016\u002F97\u002Foj","Directive (EU) 2016\u002F97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":578,"label":579,"issuer":580,"region":581,"url":582,"description":583,"useCases":584,"indexable":231},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https:\u002F\u002Fwww.centralbank.ae\u002F","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",6,{"id":586,"label":587,"issuer":588,"region":141,"url":589,"description":590,"useCases":591,"indexable":231},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https:\u002F\u002Fwww.psr.org.uk\u002Four-work\u002Fapp-scams\u002F","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",5,{"id":593,"label":594,"issuer":140,"region":141,"url":595,"description":596,"useCases":52,"indexable":231},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F17\u002Foj","Directive 2014\u002F17\u002FEU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":598,"label":599,"issuer":600,"region":141,"url":601,"description":602,"useCases":52,"indexable":231},"pra-ss1-23","PRA SS1\u002F23 model risk management","Prudential Regulation Authority","https:\u002F\u002Fwww.bankofengland.co.uk\u002Fprudential-regulation\u002Fpublication\u002F2023\u002Fmay\u002Fmodel-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",{"id":604,"label":605,"issuer":606,"region":447,"url":607,"description":608,"useCases":310,"indexable":231},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https:\u002F\u002Ftreasury.gov.au\u002Fconsultation\u002Fc2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":610,"label":611,"issuer":140,"region":141,"url":612,"description":613,"useCases":310,"indexable":231},"eu-mar","EU Market Abuse Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2014\u002F596\u002Foj","Regulation (EU) 596\u002F2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":615,"label":616,"issuer":446,"region":447,"url":617,"description":618,"useCases":310,"indexable":231},"mas-shared-responsibility-framework","MAS Shared Responsibility Framework","https:\u002F\u002Fwww.mas.gov.sg\u002Fregulation\u002Fguidelines\u002Fguidelines-on-shared-responsibility-framework","Singapore's framework that assigns banks and telcos duties and loss sharing for phishing scams.",{"id":620,"label":621,"issuer":622,"region":419,"url":623,"description":624,"useCases":310,"indexable":231},"nyc-local-law-144","NYC Local Law 144","New York City","https:\u002F\u002Fwww.nyc.gov\u002Fsite\u002Fdca\u002Fabout\u002Fautomated-employment-decision-tools.page","Bias audits and notices for automated employment decision tools used in hiring and promotion in New York City.",1792049859819]