[{"data":1,"prerenderedAt":541},["ShallowReactive",2],{"uc-library-ai-research-assistant":3,"uc-regulations":319},{"useCase":4,"evidence":148,"blitsAiDeployments":227,"benchmarks":228,"indicative":184,"related":235,"indexability":317,"includeUnpublished":154},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":16,"functions":18,"patterns":20,"channels":24,"audience":26,"autonomy":27,"adoptionStage":28,"segment":29,"problem":30,"problemStats":31,"howItWorks":32,"valueDrivers":33,"kpis":36,"macroEstimates":41,"feasibility":42,"implementation":54,"risk":100,"blitsAi":128,"faq":130,"related":140,"datePublished":143,"dateModified":143,"lastVerified":143,"changelog":144,"slug":147},"AI research assistant in university library search","Library AI research assistant","AI research assistant for library search","Library search tools now answer questions with an overview and sources. The KU Leuven Association logged 6,798 beta test sessions; Westminster runs a beta too.","published","A library AI research assistant answers a research question typed in plain language with a brief overview and selected sources drawn from the search results of the library's discovery system. It helps users start a search and does not replace the library's catalogue, databases or librarians.",[12,13,14,15],"AI library search assistant","library discovery AI","AI research assistant for libraries","Primo Research Assistant",[17],"education",[19],"knowledge-management",[21,22,23],"rag-knowledge-assistant","conversational-agent","summarization",[25],"web-chat","customer-facing","assist","emerging","higher-education","The KU Leuven Association team that tested an AI assistant in its library search heard a split\namong respondents. One respondent wrote that they were not sure the assistant added value, being\nused to filters and advanced search, while others used it to get a quick first impression of a\ntopic, to find ideas for search terms and to avoid information overload.\n\nThe job of the assistant is to help a user start. It takes a question in natural language, returns\na short overview and selected sources from the discovery system's search results, and points to\nrelated questions and the full results list. The libraries in the evidence stress that it is a\nstarting point and a complement to the usual search, never a replacement for it.\n\nThe evidence so far comes from libraries that tested the vendor's feature in beta or early\nrollout, and it is cautious. At KU Leuven users valued it for exploration and librarians were the\nmost critical group, and the common problems are answers that sound more certain than they should, sources missing from\nthe assistant's scope and users who expect a general chatbot.",[],"1. **The user asks a question.** The question is typed in plain language into the library search\n   page rather than as a list of keywords.\n2. **The assistant works from search results, not from the whole library.** It runs the question\n   against the content that the discovery system searches for it. Westminster notes that certain\n   collections are excluded from the assistant's scope, and the KU Leuven slides list a \"lack of\n   search in local sources\" next to \"good results even with only CDI\", so coverage differs from\n   the library's full holdings.\n3. **A language model writes an overview.** The answer has a brief overview and a list of selected\n   sources, with links to open the items in the library's holdings.\n4. **The user is pointed onward.** The page offers related research questions and a link to more\n   results, so the user can move into a normal search. The KU Leuven slides show that most users\n   did not look beyond the first overview.\n5. **Library staff own the scope and the message.** They decide what is switched on, label it as a\n   beta or supplementary tool, train staff to explain it, and put help where users need it.",[34,35],"customer-experience","inclusion-and-access",[37,38,39,40],"interactions-handled","users-served","customer-satisfaction","search-time-reduction",[],{"complexity":43,"complexityNote":44,"dataPrerequisites":45,"integrations":49},"low","Most libraries switch on a feature of their discovery system and then decide the scope, the label and the user guidance, with staff training and a plan for gathering feedback. A custom build also needs a search interface to the library index and the right to pass licensed content summaries through a language model.",[46,47,48],"The library's search index with clean metadata for the collections in scope","A list of the collections and content types that are excluded, written in plain words for users","A baseline of reference questions and search behaviour from before launch",[50,51,52,53],"The library discovery system and its search interface","Authentication or proxy access for licensed e resources","The library's help pages and chat or reference service for handover","Analytics on queries, clicks and feedback",{"steps":55,"guardrails":74,"humanInTheLoop":80,"kpisToInstrument":81,"failureModes":87},[56,59,62,65,68,71],{"title":57,"detail":58},"Launch as a labelled beta","Westminster introduced the assistant in beta to explore its potential and understand how students and staff may use it, and states that it is not an alternative to Library Search. Say the same on the page.",{"title":60,"detail":61},"Test with a working group first","Manitoba's multidisciplinary group posed varied research questions to judge usability, accuracy and fit before rollout, and found it useful as a starting point but limited in local relevance and prone to overly confident responses.",{"title":63,"detail":64},"Train library staff before users","Manitoba's rollout centred on training library staff and on clear communication of what the tool can and cannot do. KU Leuven's survey found librarians the most critical user group, so their questions are worth using to shape the wording of the guidance.",{"title":66,"detail":67},"Put help at the point of need","KU Leuven found that online help was rarely consulted and that users were unsure how the tool works, some expecting it to behave like ChatGPT. Show scope and limits on the results page and replace vague link labels such as \"view more results\".",{"title":69,"detail":70},"Run a time boxed pilot with a survey","KU Leuven opened an invitation to test to all users from February to May 2025 and ran a user survey, which let it compare students, staff, librarians and the university colleges.",{"title":72,"detail":73},"Review by user group and decide the scope","Read results by group: KU Leuven found students most positive and librarians most critical, and the university colleges missed local sources. Decide what to keep, expand or switch off.",[75,76,77,78,79],"A visible label that the answer is AI generated and a beta or supplementary tool","Sources only from the discovery system's search results, each with a link to the item","A plain language statement of the collections and content types outside the assistant's scope","A clear message instead of an answer when the question needs data the assistant cannot search, such as filtering for theses","No use of user queries to train a model without a documented basis","Librarians own the scope, the wording of the guidance and the review of the tool. They read a sample of queries and answers each term, answer questions from users who doubt a result and decide whether the tool stays on. Users remain responsible for reading the sources and for citing them correctly, and the library should say so in its guidance on academic integrity, a theme Manitoba emphasized in its lessons learned.",[82,83,84,85,86],"Sessions and repeat users by user group, such as undergraduates, graduate students and staff","Share of sessions in which the user opens at least one source","Share of users who find the answer helpful, partly helpful or not helpful","Librarian rated accuracy of a sample of answers each term","Queries that the assistant could not serve because of scope",[88,91,94,97],{"title":89,"detail":90},"Answers that sound too sure","Manitoba found overly confident responses. Show the sources next to the overview, tell users to read them and sample answers for accuracy.",{"title":92,"detail":93},"Mismatched expectations","KU Leuven users expected a ChatGPT style conversation and asked for things the tool cannot do, such as searching the library's theses. Explain scope in the interface.",{"title":95,"detail":96},"Local and specialist sources missing","Local content can fall outside the assistant's scope, which the KU Leuven university colleges saw as a major hindrance. Check coverage of local and multilingual sources before launch.",{"title":98,"detail":99},"Shallow use","Most KU Leuven users did not look beyond the first overview. Track whether users open sources and pair the tool with information literacy teaching.",{"euAiAct":101,"regulations":104,"guidance":108,"controls":121,"incidents":127},{"tier":102,"basis":103},"limited","A conversational assistant that interacts with people falls under the transparency duty of Article 50: users must be told they are dealing with an AI system unless that is obvious. A research assistant that finds and summarises sources is not an Annex III use, as long as it is not used for the education purposes Annex III lists, such as deciding admission, evaluating learning outcomes, assessing the level of education a person can access or monitoring students during tests.",[105,106,107],"eu-ai-act","gdpr","uk-gdpr",[109,115],{"title":110,"issuer":111,"region":112,"url":113,"note":114},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F","People must be informed when they interact directly with an AI system, unless that is obvious from the circumstances.",{"title":116,"issuer":117,"region":118,"url":119,"note":120},"Guidance for generative AI in education and research","UNESCO","global","https:\u002F\u002Fwww.unesco.org\u002Fen\u002Farticles\u002Fguidance-generative-ai-education-and-research","UNESCO's first global guidance on generative AI in education and research; it proposes mandating the protection of data privacy and an age limit for independent conversations with GenAI platforms.",[122,123,124,125,126],"AI disclosure on the results page, with a link to the scope and limits","A data protection impact assessment covering query logs and any personal data in them","Contract terms with the discovery vendor on content use, model training and data location","Staff briefing and academic integrity guidance for students and staff","A termly review of usage, feedback and answer accuracy with a named owner",[],{"howToBuild":129},"Many libraries will use the assistant that their discovery vendor ships. Where a library wants its\nown, on Blits.ai it is an **AI agent** grounded in a **knowledge base** of the library's guides,\npolicies and frequently asked questions with hybrid retrieval, plus a **custom function** that\ncalls the discovery system's search interface over REST and returns titles, short descriptions\nand links to the items. The agent writes a brief overview from those results and lists the\nsources, and **guardrails** keep it to what the results support and tell the user when a request\nis outside its scope.\n\nThe agent runs in the **web chat** widget on the library site or in **Microsoft Teams**, with\n**multi language** support for libraries that serve users in several languages, and **human\nhandover** to a librarian through a live agent platform. **Test suites** replay a bank of real\nreference questions after each change, and **analytics** and conversation logs show what users\nask and where they give up. The platform is model agnostic and supports EU data residency.",[131,134,137],{"question":132,"answer":133},"What do libraries find when they test an AI research assistant?","The KU Leuven Association's beta, with 6,798 test sessions across KU Leuven and its university colleges and 104 survey responses, found positive overall appreciation, with students the most positive and librarians the most critical. Its slides say the assistant excels in exploration and inspiration, and that most users did not look beyond the first overview. Manitoba found it useful as a starting point but limited in local relevance and prone to overly confident responses.",{"question":135,"answer":136},"Does an AI research assistant replace librarians or the normal library search?","No library in the evidence positions it that way. Westminster says the tool is not an alternative to Library Search and runs it as a beta, and Manitoba positions it as a supplementary resource and trains library staff to explain what it can and cannot do.",{"question":138,"answer":139},"Is a library AI assistant high risk under the EU AI Act?","Usually not. It falls under the transparency duty of Article 50, so users must know they are talking to AI. It would move toward Annex III if it were used for purposes listed there, for example to evaluate learning outcomes, to decide admission or to monitor students during tests.",[141,142],"academic-advising-assistant","ai-tutor-for-students","2026-10-13",[145],{"date":143,"note":146},"First published","library-ai-research-assistant",[149,185,207],{"title":150,"useCases":151,"organization":152,"vendors":157,"summary":161,"stage":162,"year":163,"channels":164,"languages":165,"metrics":166,"outcomeDisclosed":175,"sources":176,"verification":180,"grade":182,"id":183,"organizationSlug":184},"KU Leuven Association: Primo Research Assistant beta trial with 6,798 test sessions",[147],{"name":153,"anonymized":154,"country":155,"region":112,"industry":17,"wikidata":156},"KU Leuven Association (LIBIS, KU Leuven Libraries)",false,"BE","Q2901923",[158],{"name":159,"role":160},"Ex Libris (Clarivate)","platform","LIBIS, the library services unit that serves the KU Leuven Association's libraries, ran a beta trial of the Primo Research Assistant from February to May 2025, open to all users of the KU Leuven university libraries and the university colleges through an invitation to test, with a user survey. The trial recorded 6,798 test sessions and 104 survey responses. The team's IGeLU 2025 conference slides report positive overall appreciation, with students the most positive and librarians the most critical. The slides state that the assistant excels in exploration and inspiration, and users described it as a stepping stone and a way to bookend a literature search. Most did not look beyond the first overview, users were unsure how the tool works or expected it to behave like ChatGPT, and the university colleges missed search in local sources.","pilot",2025,[25],[],[167],{"kpi":37,"value":168,"unit":169,"qualifier":170,"period":171,"claimant":172,"quote":173,"sourceUrl":174},6798,"count","exact","beta trial, February to May 2025","organization","Total RA Test sessions: 6 798","https:\u002F\u002Figelu.org\u002Fwp-content\u002Fuploads\u002F2025\u002F10\u002FRoom145_Tuesday_Experiences_with_the_Primo_Research_Assistant.pdf",true,[177],{"url":174,"title":178,"publisher":179},"Experiences with the Primo Research Assistant @ KU Leuven Association (IGeLU 2025)","IGeLU, presented by Lydia Janssen and Veerle Kerstens of LIBIS",{"level":181,"checkedAt":143},"source-verified","B","ku-leuven-association-primo-research-assistant-beta",null,{"title":186,"useCases":187,"organization":188,"vendors":192,"summary":194,"stage":195,"year":163,"channels":196,"languages":197,"metrics":199,"outcomeDisclosed":175,"sources":200,"verification":205,"grade":182,"id":206,"organizationSlug":184},"University of Manitoba Libraries: evaluation and rollout of the Primo Research Assistant",[147],{"name":189,"anonymized":154,"country":190,"region":191,"industry":17},"University of Manitoba Libraries","CA","north-america",[193],{"name":159,"role":160},"University of Manitoba Libraries assessed the Primo Research Assistant through a multidisciplinary working group that posed varied research questions to test usability, accuracy and fit with user needs, and then rolled it out. The group found it useful as a starting point for research, with limited local relevance and overly confident responses as the main weaknesses. Rollout focused on positioning the tool as a supplementary resource, training library staff and telling users plainly what it can and cannot do. The libraries presented the case at the 2025 ELUNA conference, with lessons on managing expectations, academic integrity and keeping traditional library resources alongside the assistant.","production",[25],[198],"en",[],[201],{"url":202,"title":203,"publisher":204},"https:\u002F\u002Felunaconf2025.dryfta.com\u002Fprogram-schedule\u002Fprogram\u002Fdetail\u002F41\u002Fimplementation-of-primo-research-assistant-at-university-of-manitoba-libraries","Implementation of Primo Research Assistant at University of Manitoba Libraries","ELUNA 2025 conference programme",{"level":181,"checkedAt":143},"university-of-manitoba-libraries-primo-research-assistant",{"title":208,"useCases":209,"organization":210,"vendors":214,"summary":216,"stage":162,"year":163,"channels":217,"languages":218,"metrics":219,"outcomeDisclosed":154,"sources":220,"verification":225,"grade":182,"id":226,"organizationSlug":184},"University of Westminster: Primo Research Assistant in library search",[147],{"name":211,"anonymized":154,"country":212,"region":112,"industry":17,"wikidata":213},"University of Westminster","GB","Q1247544",[215],{"name":159,"role":160},"The University of Westminster enabled the Primo Research Assistant, an AI feature of the Ex Libris Primo discovery system, on 4 February 2025. Its library guide says the tool was introduced in beta to explore its potential and understand how students and staff may use it, that it is not an alternative to Library Search, and that certain collections are excluded from its scope. The guide lists a small number of other UK universities that have made the assistant available to students, including Cardiff, Stirling and the Open University, and links the Open University's published user testing and feedback, the CARLI summary for US libraries (which, it says, found that most do not yet find the tool ready for full implementation) and a lesson plan from the vendor. Westminster publishes no usage or satisfaction figures.",[25],[198],[],[221],{"url":222,"title":223,"publisher":224},"https:\u002F\u002Flibguides.westminster.ac.uk\u002Flibrarysearchguide\u002Faiassistant","AI Assistant, Library Search, LibGuides at University of Westminster","University of Westminster Library",{"level":181,"checkedAt":143},"university-of-westminster-primo-research-assistant",0,[229],{"kpi":37,"label":230,"unit":169,"aggregate":154,"higherIsBetter":175,"n":231,"nUpTo":227,"median":168,"min":168,"max":168,"byClaimant":232,"vendorOnly":154,"points":233},"Interactions handled",1,{"organization":231,"vendor":227,"regulator":227,"independent":227},[234],{"evidenceId":183,"organization":153,"value":168,"qualifier":170,"claimant":172,"grade":182,"pooled":175},[236,251,268,294],{"slug":141,"title":237,"shortTitle":238,"definition":239,"status":9,"industries":240,"functions":241,"patterns":243,"audience":26,"autonomy":27,"adoptionStage":28,"evidenceCount":244,"publicEvidenceCount":244,"organizations":245,"bestGrade":182,"headline":184,"lastVerified":250,"indexable":175},"AI academic advising assistant for course selection and degree requirements","Academic advising assistant","An AI academic advising assistant is an AI chatbot that answers students' questions about degree requirements, course selection, prerequisites and majors. It works from the institution's own catalog and advising documents, so students get quick answers to routine questions and are directed to a human advisor for anything that needs judgment, is time sensitive, or falls outside what the assistant can see.",[17],[242],"customer-service",[22,21],4,[246,247,248,249],"Elon University","Harvard College","University of Utah","Washburn University","2026-09-28",{"slug":142,"title":252,"shortTitle":253,"definition":254,"status":9,"industries":255,"functions":256,"patterns":257,"audience":26,"autonomy":27,"adoptionStage":28,"evidenceCount":258,"publicEvidenceCount":258,"organizations":259,"bestGrade":182,"headline":184,"lastVerified":267,"indexable":175},"AI tutor that coaches students through problems","AI tutor for students","An AI tutor for students is a tool that works with a student on course material in conversation, asking questions and giving hints instead of handing over answers. It is grounded in the course content, set up by the school or teacher, with limits on use and a clear route to a human teacher.",[17],[242],[22,21],7,[260,261,262,263,264,265,266],"Brockton Public Schools","Eedi","Hamilton County Schools","Harvard University","Muleshoe Independent School District","Spokane Public Schools","World Bank","2026-09-27",{"slug":269,"title":270,"shortTitle":271,"definition":272,"status":9,"industries":273,"functions":274,"patterns":276,"audience":278,"autonomy":279,"adoptionStage":280,"segment":281,"evidenceCount":282,"publicEvidenceCount":282,"organizations":283,"bestGrade":182,"headline":287,"lastVerified":143,"indexable":175},"teacher-lesson-planning-and-resource-assistant","AI assistant for teachers: lesson planning and classroom resources","Teacher lesson planning assistant","An AI lesson planning assistant is software that drafts lesson plans, slides, quizzes and worksheets from a teacher's learning goal, which the teacher edits and checks before using in class. It works from the school's curriculum and leaves teaching, marking and every pupil facing decision to the teacher.",[17],[275,19],"operations",[277,21,22],"content-generation","employee-facing","copilot","early-adopters","schools",3,[284,285,286],"NSW Department of Education","Oak National Academy","Ministry of Education, Singapore",{"kpi":288,"label":289,"unit":290,"n":231,"nUpTo":227,"kind":291,"value":292,"qualifier":170,"claimant":293,"organization":285,"vendorReported":154},"productivity-gain","Productivity gain","percent","reported",24,"independent",{"slug":295,"title":296,"shortTitle":297,"definition":298,"status":9,"industries":299,"functions":302,"patterns":303,"audience":278,"autonomy":27,"adoptionStage":280,"segment":195,"evidenceCount":305,"publicEvidenceCount":305,"organizations":306,"bestGrade":182,"headline":312,"lastVerified":267,"indexable":175},"plant-operator-and-maintenance-copilot","AI copilot for plant operators and maintenance technicians","Plant operator and maintenance copilot","A plant operator and maintenance copilot is a generative AI assistant for the people who run and repair machines in plants, workshops and service centres. It answers fault and procedure questions from equipment manuals, fault reports, shift logs and live machine data, in the technician's language, with links to the sources, so faults are diagnosed faster and expert knowledge is not lost when experienced staff retire.",[300,301],"manufacturing","automotive",[275,19],[21,22,23,304],"translation",5,[307,308,309,310,311],"BMW Group","Daikin Industries","Georgia-Pacific","Husqvarna","Textron Aviation",{"kpi":313,"label":314,"unit":290,"n":231,"nUpTo":227,"kind":291,"value":315,"qualifier":316,"claimant":172,"organization":308,"vendorReported":154},"accuracy","Accuracy",90,"at-least",{"indexable":175,"reasons":318},[],[320,325,330,337,344,350,356,363,371,378,385,391,397,404,411,418,424,430,437,442,447,454,460,467,472,477,483,488,495,500,507,512,518,524,530,535],{"id":105,"label":321,"issuer":111,"region":112,"url":322,"description":323,"useCases":324,"indexable":175},"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.",275,{"id":106,"label":326,"issuer":111,"region":112,"url":327,"description":328,"useCases":329,"indexable":175},"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.",246,{"id":331,"label":332,"issuer":333,"region":118,"url":334,"description":335,"useCases":336,"indexable":175},"iso-42001","ISO\u002FIEC 42001","ISO and IEC","https:\u002F\u002Fwww.iso.org\u002Fstandard\u002F81230.html","The international management system standard for AI.",143,{"id":338,"label":339,"issuer":340,"region":191,"url":341,"description":342,"useCases":343,"indexable":175},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","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.",110,{"id":107,"label":345,"issuer":346,"region":112,"url":347,"description":348,"useCases":349,"indexable":175},"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.",81,{"id":351,"label":352,"issuer":111,"region":112,"url":353,"description":354,"useCases":355,"indexable":175},"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.",72,{"id":357,"label":358,"issuer":359,"region":112,"url":360,"description":361,"useCases":362,"indexable":175},"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.",51,{"id":364,"label":365,"issuer":366,"region":367,"url":368,"description":369,"useCases":370,"indexable":175},"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":372,"label":373,"issuer":374,"region":367,"url":375,"description":376,"useCases":377,"indexable":175},"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":379,"label":380,"issuer":381,"region":191,"url":382,"description":383,"useCases":384,"indexable":175},"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.",23,{"id":386,"label":387,"issuer":111,"region":112,"url":388,"description":389,"useCases":390,"indexable":175},"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.",22,{"id":392,"label":393,"issuer":394,"region":118,"url":395,"description":396,"useCases":390,"indexable":175},"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":398,"label":399,"issuer":400,"region":112,"url":401,"description":402,"useCases":403,"indexable":175},"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":405,"label":406,"issuer":407,"region":191,"url":408,"description":409,"useCases":410,"indexable":175},"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.",17,{"id":412,"label":413,"issuer":414,"region":118,"url":415,"description":416,"useCases":417,"indexable":175},"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.",15,{"id":419,"label":420,"issuer":111,"region":112,"url":421,"description":422,"useCases":423,"indexable":175},"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":425,"label":426,"issuer":427,"region":191,"url":428,"description":429,"useCases":423,"indexable":175},"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":431,"label":432,"issuer":433,"region":191,"url":434,"description":435,"useCases":436,"indexable":175},"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.",13,{"id":438,"label":439,"issuer":111,"region":112,"url":440,"description":441,"useCases":436,"indexable":175},"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.",{"id":443,"label":444,"issuer":111,"region":112,"url":445,"description":446,"useCases":436,"indexable":175},"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":448,"label":449,"issuer":450,"region":191,"url":451,"description":452,"useCases":453,"indexable":175},"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":455,"label":456,"issuer":457,"region":118,"url":458,"description":459,"useCases":453,"indexable":175},"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":461,"label":462,"issuer":463,"region":112,"url":464,"description":465,"useCases":466,"indexable":175},"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":468,"label":469,"issuer":111,"region":112,"url":470,"description":471,"useCases":466,"indexable":175},"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":473,"label":474,"issuer":111,"region":112,"url":475,"description":476,"useCases":466,"indexable":175},"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":478,"label":479,"issuer":366,"region":367,"url":480,"description":481,"useCases":482,"indexable":175},"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":484,"label":485,"issuer":111,"region":112,"url":486,"description":487,"useCases":482,"indexable":175},"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":489,"label":490,"issuer":491,"region":191,"url":492,"description":493,"useCases":494,"indexable":175},"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.",8,{"id":496,"label":497,"issuer":111,"region":112,"url":498,"description":499,"useCases":258,"indexable":175},"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":501,"label":502,"issuer":503,"region":504,"url":505,"description":506,"useCases":305,"indexable":175},"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.",{"id":508,"label":509,"issuer":111,"region":112,"url":510,"description":511,"useCases":244,"indexable":175},"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":513,"label":514,"issuer":515,"region":112,"url":516,"description":517,"useCases":244,"indexable":175},"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":519,"label":520,"issuer":521,"region":112,"url":522,"description":523,"useCases":244,"indexable":175},"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.",{"id":525,"label":526,"issuer":527,"region":367,"url":528,"description":529,"useCases":282,"indexable":175},"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":531,"label":532,"issuer":111,"region":112,"url":533,"description":534,"useCases":282,"indexable":175},"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":536,"label":537,"issuer":538,"region":191,"url":539,"description":540,"useCases":282,"indexable":175},"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.",1791904360866]