[{"data":1,"prerenderedAt":540},["ShallowReactive",2],{"uc-academic-advising-assistant":3,"uc-regulations":331},{"useCase":4,"evidence":178,"blitsAiDeployments":256,"benchmarks":257,"indicative":258,"related":261,"indexability":329,"includeUnpublished":184},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":21,"channels":24,"audience":26,"autonomy":27,"adoptionStage":28,"problem":29,"problemStats":30,"howItWorks":31,"valueDrivers":32,"kpis":36,"indicativeValue":41,"macroEstimates":75,"feasibility":76,"implementation":87,"risk":128,"blitsAi":155,"faq":157,"related":170,"datePublished":173,"dateModified":173,"lastVerified":173,"changelog":174,"slug":177},"AI academic advising assistant for course selection and degree requirements","Academic advising assistant","AI academic advising chatbot for students","Harvard says Student Compass is not meant to replace human advising. Elon calls ElonGPT a supplemental resource for course and requirement questions.","published","An AI assistant that answers students' questions about degree requirements, course selection, prerequisites and majors, grounded in 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.",[12,13,14,15,16],"academic advising chatbot","AI course selection assistant","degree planning chatbot","virtual academic advisor","major exploration chatbot",[18],"education",[20],"customer-service",[22,23],"conversational-agent","rag-knowledge-assistant",[25],"web-chat","customer-facing","assist","emerging","Academic advising does not scale well: a large share of what students ask is routine and answerable\nfrom documents that already exist, such as what satisfies a general education requirement, which\ncourses a major requires, or whether a prerequisite has been met. But that information is often\nspread across a catalog, a handbook and several department websites, so students either spend time\nhunting for it themselves or take up an advisor's limited appointment time on a question a document\ncould have answered.\n\nHarvard's Assistant Director Brooks B. Lambert-Sluder wrote that Student Compass \"is not meant to\nreplace human advising, but rather to improve students' access to information that already exists\nonline, and to direct them to appropriate advising resources.\" Elon calls ElonGPT \"a supplemental\nresource to assist you with general advising questions\" and tells students to verify what it says\nagainst the academic catalog or a human advisor. The risk is in where an institution draws that\nline, and how well the tool recognises when a question has crossed it.",[],"1. **Ground the assistant in official documents.** The academic catalog, degree requirement pages,\n   student handbook and relevant department websites are loaded as the assistant's only knowledge\n   source, so it answers from current policy rather than general knowledge about how universities\n   usually work.\n2. **Answer with citations.** The assistant links to the specific source it drew each answer from,\n   the way Harvard's Student Compass does, so a student can verify the answer rather than trust it\n   blindly.\n3. **Route around what it cannot see.** Live, personal data the assistant does not have access to,\n   such as a specific student's transcript, registration status or holds, stays out of scope; the\n   student is directed to the institution's own degree audit or registration tool for that.\n4. **Escalate on cue.** Time sensitive questions, exceptions, and anything nuanced enough that it\n   usually goes to a human advisor in person, triggers a clear handoff to that advisor or advising\n   office rather than a best effort answer.\n5. **Review what it gets wrong.** Advising staff should test the assistant against the questions\n   that actually come up in advising meetings on an ongoing basis, not just at launch, and correct\n   the underlying documents or scope when it gives a wrong or overconfident answer. This matters in\n   practice: The Harvard Crimson's own testing of Student Compass found it handled straightforward,\n   policy grounded questions well but stumbled on more nuanced ones, and Joseph K. Blitzstein, the\n   Statistics department's director of undergraduate studies, separately tested it against real\n   concentration advising questions and found it often gave wrong answers.",[33,34,35],"employee-productivity","customer-experience","inclusion-and-access",[37,38,39,40],"time-saved-per-task","containment-rate","customer-satisfaction","escalation-rate-reduction",{"referenceOrg":42,"inputs":43,"formula":70,"currency":71,"period":72,"resultLabel":73,"caveat":74},"A university with 20,000 undergraduate students",[44,49,56,63],{"key":45,"label":46,"low":47,"high":47,"unit":45,"note":48},"students","Undergraduate students",20000,"The reference university.",{"key":50,"label":51,"low":52,"high":53,"unit":54,"note":55},"advisingContactsPerStudent","Advising contacts per student per year",2,5,"contacts per student per year","Editorial assumption, replace with your own advising office contact volume.",{"key":57,"label":58,"low":59,"high":60,"unit":61,"note":62},"shareRoutine","Share of contacts that are routine, document answerable questions",0.3,0.5,"fraction of contacts","Editorial assumption, informed by Harvard's Student Compass and Elon's ElonGPT, which both position the assistant for routine, document based questions only, not the judgment based advising that stays with a human. Harvard peer advising fellow Alex I. Draghia told The Harvard Crimson, \"Over 50 percent of the questions I get from the students I'm PAFing are questions that have an absolute answer somewhere on Harvard's website\", an anecdote about questions to peer advising fellows specifically, above the top of this range, not a substitute for it.",{"key":64,"label":65,"low":66,"high":67,"unit":68,"note":69},"costPerHumanContact","Cost of a human handled advising contact",10,25,"USD per contact","Editorial assumption for advisor time per routine question. Replace with your own cost.","students * advisingContactsPerStudent * shareRoutine * costPerHumanContact","USD","per year","Advising staff time cost avoided on routine questions","Gross cost avoided on routine questions only. It leaves out the cost of building and maintaining the assistant, keeping its source documents current, and any drop in quality if students who needed a real advising conversation settle for a chatbot answer instead.",[],{"complexity":77,"complexityNote":78,"dataPrerequisites":79,"integrations":83},"medium","Answering from a well maintained catalog is straightforward retrieval; the hard part is keeping the source documents current across every department, answering nuanced, concentration specific questions correctly (a Statistics department's director of undergraduate studies tested Student Compass against these and found it often gave wrong answers), and being honest that it cannot see a specific student's transcript or registration status.",[80,81,82],"A current, complete academic catalog and degree requirement pages, with an owner per document","A student handbook and relevant department advising pages","A defined escalation policy naming which topics and question types route to a human advisor",[84,85,86],"Academic catalog and degree audit system (read only, for grounding content, not personal data)","Advising office scheduling or contact system, for the escalation handoff","Student information system, only if the institution chooses to connect authenticated, per student data rather than keeping the assistant general",{"steps":88,"guardrails":104,"humanInTheLoop":109,"kpisToInstrument":110,"failureModes":115},[89,92,95,98,101],{"title":90,"detail":91},"Scope it to general advising, not personal data","Start with catalog and policy questions that are the same for every student, before considering any integration with individual transcript or registration data, which raises the stakes of a wrong answer considerably.",{"title":93,"detail":94},"Load only current, owned documents","Every source document needs an owner and a review date; an assistant answering from an outdated requirement page is worse than no assistant, because it looks authoritative.",{"title":96,"detail":97},"Require citations on every answer","Have the assistant link to the specific page or document it drew an answer from, so students can verify it and staff can see exactly what it is drawing on when it gets something wrong.",{"title":99,"detail":100},"Test it against real advising questions","Before launch, and after every change, run the assistant against the questions that actually come up in advising appointments, not just the questions the catalog makes easy to answer.",{"title":102,"detail":103},"Design the handoff, not just the refusal","When the assistant cannot or should not answer, it should point to the specific human or office that can, with enough context that the student does not start over.",[105,106,107,108],"Answers only from approved, current documents, with a refusal or handoff when nothing in scope covers the question","No access to an individual student's transcript, grades or registration status unless the institution has deliberately built and secured that integration","Every answer cites its source document so a student, or a reviewing advisor, can verify it","Clear routing to a human advisor for time sensitive, exception based or judgment heavy questions","Advising staff own the source documents and their currency, periodically test the assistant against the kind of nuanced questions that come up in real advising meetings, and review a sample of conversations, particularly ones the assistant answered confidently but a department later flagged as wrong, the way a Statistics department's director of undergraduate studies found Student Compass gave incorrect answers when he tested it against real concentration specific advising questions.",[111,112,113,114],"Share of questions answered without escalation to a human advisor, and repeat contacts on the same topic within a set window","Advisor reported accuracy on a sample of the assistant's answers, by topic","Student satisfaction with assistant answers versus human advising, on comparable question types","Volume and topic of questions the assistant declines or escalates",[116,119,122,125],{"title":117,"detail":118},"Confident but wrong on nuanced questions","A Harvard statistics department's director of undergraduate studies tested Student Compass against questions that come up in real advising meetings and found it often gave wrong answers. Keep a subject expert testing the assistant against real questions on a schedule, not just at launch.",{"title":120,"detail":121},"Students treat a citation as a guarantee","Citing a source makes an answer look more authoritative, even when the assistant has misread or combined that source incorrectly. Keep the \"verify with your advisor\" message visible, not buried, on every answer.",{"title":123,"detail":124},"Stale source documents","Catalogs and requirement pages change every term. Without an owner and a review cadence per document, the assistant will answer confidently from an outdated requirement.",{"title":126,"detail":127},"Scope creep into decisions it should not make","Course selection and degree planning touch real stakes (graduation timing, financial aid eligibility). Keep the assistant to information and routing, and treat any move toward it making or approving a plan as a new, higher risk feature that needs its own review.",{"euAiAct":129,"regulations":132,"guidance":136,"controls":149,"incidents":154},{"tier":130,"basis":131},"limited","An assistant that answers informational questions about courses and requirements, without deciding admission, assigning students to an institution, or evaluating learning outcomes, falls under the transparency duty of Article 50: students must be told they are talking to AI. It would move toward Annex III point 3 (education and vocational training) if it were used to determine access or admission to an institution or programme (point 3(a)), or to evaluate learning outcomes, including when those outcomes are used to steer the learning process (point 3(b)).",[133,134,135],"eu-ai-act","gdpr","uk-gdpr",[137,143],{"title":138,"issuer":139,"region":140,"url":141,"note":142},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https://artificialintelligenceact.eu/article/50/","People must be informed that they are interacting with an AI system, unless this is obvious from the context.",{"title":144,"issuer":145,"region":146,"url":147,"note":148},"Guidance for generative AI in education and research","UNESCO","global","https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research","UNESCO's global, non binding guidance on generative AI in education, which proposes that governments regulate GenAI tools, including by mandating the protection of users' data privacy and setting an age limit for independent use.",[150,151,152,153],"AI disclosure at the start of every conversation","Human advisor review before the assistant's scope expands to a new topic or to personal student data","Escalation rules that are tested against real advising questions, not just designed on paper","A visible, non buried reminder to verify time sensitive or high stakes answers with an advisor",[],{"howToBuild":156},"On Blits.ai this is an **AI agent** built as a **RAG knowledge assistant** over the institution's\nown catalog, degree requirement pages and student handbook, using **hybrid retrieval** so answers\nare grounded in current policy. A **flow** can hold the fixed parts of the journey, such as\ncollecting the student's programme before routing the question, while open ended requirement and\npolicy questions go to the agent.\n\n**Input and output guardrails** screen questions and answers against admin authored policies, to\ncatch off topic or unsafe exchanges rather than relying on the model alone to stay on script.\n**Human handover** routes time sensitive, exception based or judgment heavy questions to a human\nagent, live in the admin console or through Salesforce, Freshdesk or Zoho SalesIQ, and a flow can\nretrieve an AI summarized conversation history before the handover block so the advisor has\ncontext. The assistant is\ndelivered through **web chat**, with a mobile app reachable through the **REST or WebSocket API**\nchannel, and **multi language** support for institutions with non English speaking students. Run\nthe **test suite** against a set of real advising questions, including the nuanced ones a document\nalone cannot answer, as a practice after every change to the source documents.",[158,161,164,167],{"question":159,"answer":160},"Can an AI advising chatbot replace a human academic advisor?","Harvard's Assistant Director Brooks B. Lambert-Sluder wrote that Student Compass \"is not meant to replace human advising\", and Elon calls ElonGPT \"a supplemental resource\" for general advising questions. Both point students back to a human advisor, Elon by telling students to verify what the chatbot says against the Academic Catalog or an advisor.",{"question":162,"answer":163},"How reliable are these assistants on real advising questions?","Mixed, on the one deployment tested independently. The Harvard Crimson's own testing found Student Compass handled straightforward, policy grounded questions well, with its limits showing on more nuanced ones. Joseph K. Blitzstein, the Statistics department's director of undergraduate studies, separately tested it against real concentration advising questions and found it often gave wrong answers; Angela S. Allan, associate director of History and Literature, said it fell short on the program's more detailed, idiosyncratic questions.",{"question":165,"answer":166},"What should an academic advising assistant never be allowed to do on its own?","Make or approve a degree plan, decide admission or progression, or answer from a specific student's transcript or registration data unless that integration has been deliberately built and secured. Harvard's Student Compass draws only from select policy documents and Faculty of Arts and Sciences websites, and ends every answer with a reminder to confirm time sensitive or high stakes decisions with a Resident Dean or the Advising Programs Office. Elon's ElonGPT is offered as a supplemental resource for general advising questions, and Elon tells students to verify what it says against the Academic Catalog, My Progress in OnTrack, or an advisor.",{"question":168,"answer":169},"What is the difference between this and a general student enrollment chatbot?","A student enrollment and services assistant typically covers admissions, financial aid, registration and deadlines for admitted or prospective students. An academic advising assistant answers a narrower, ongoing question for currently enrolled students: which courses satisfy which requirements, and which major fits their interests and plan.",[171,172],"student-enrollment-and-services-assistant","ai-tutor-for-students","2026-09-28",[175],{"date":173,"note":176},"First published","academic-advising-assistant",[179,209,228],{"title":180,"useCases":181,"organization":182,"vendors":187,"summary":188,"stage":189,"year":190,"channels":191,"languages":192,"metrics":194,"outcomeDisclosed":184,"sources":195,"verification":204,"grade":206,"id":207,"organizationSlug":208},"Elon University: ElonGPT academic advising chatbot",[177],{"name":183,"anonymized":184,"country":185,"region":186,"industry":18},"Elon University",false,"US","north-america",[],"Elon University runs ElonGPT, an AI chatbot published on its Office of Academic Advising site as a supplemental resource for general advising questions: what academic advising is, how to select courses for an upcoming semester, and general degree requirements. The university tells students to verify course to requirement mapping in the institution's own degree audit tool (My Progress in OnTrack) and to confirm anything the chatbot says against the academic catalog, their assigned advisor, or a professional advisor in the Office of Academic Advising.","production",2024,[25],[193],"en",[],[196,200],{"url":197,"title":198,"publisher":183,"archivedUrl":199},"https://www.elon.edu/u/academics/koenigsberger-learning-center/academic-advising/elongpt/","ElonGPT | Academic Advising | Elon University","https://web.archive.org/web/20260209110026/https://www.elon.edu/u/academics/koenigsberger-learning-center/academic-advising/elongpt/",{"url":201,"title":202,"publisher":183,"date":203},"https://web.archive.org/web/20240713121348/https://www.elon.edu/u/academics/koenigsberger-learning-center/academic-advising/elongpt/","ElonGPT | Academic Advising | Elon University (2024 Wayback capture, cited only for the launch year)","2024-07-13",{"level":205,"checkedAt":173},"source-verified","B","elon-university-elongpt-advising",null,{"title":210,"useCases":211,"organization":212,"vendors":214,"summary":215,"stage":216,"year":190,"channels":217,"languages":218,"metrics":219,"outcomeDisclosed":184,"sources":220,"verification":226,"grade":206,"id":227,"organizationSlug":208},"University of Utah: UGuide major exploration chatbot",[177],{"name":213,"anonymized":184,"country":185,"region":186,"industry":18},"University of Utah",[],"The University of Utah's Academic Innovation + Intelligence Lab, part of the Office of Undergraduate Studies, built UGuide, an AI chatbot that helps students explore majors by consolidating data spread across the institution into one conversational interface. Students can investigate majors from angles such as career paths and scheduling, and the tool surfaces prompts based on what other students have asked. The university describes UGuide as being in the early stages of development, with piloting planned for upcoming semesters, distinct from the lab's other chatbot, UBot, a course specific virtual tutor already piloted in large gateway classes.","announced",[25],[193],[],[221],{"url":222,"title":223,"publisher":224,"date":225},"https://us.utah.edu/news-and-updates/posts/ai-powered-chatbots.php","AI-Powered Chatbots: Functional 4-Year Degree Plans","University of Utah, Office of Undergraduate Studies","2024-10-02",{"level":205,"checkedAt":173},"university-of-utah-uguide-advising",{"title":229,"useCases":230,"organization":231,"vendors":233,"summary":237,"stage":189,"year":238,"channels":239,"languages":240,"metrics":241,"outcomeDisclosed":242,"sources":243,"verification":253,"grade":254,"id":255,"organizationSlug":208},"Harvard College: Student Compass academic advising chatbot",[177],{"name":232,"anonymized":184,"country":185,"region":186,"industry":18},"Harvard College",[234],{"name":235,"role":236},"OpenAI","model-provider","Harvard College's Advising Programs Office built Student Compass, a ChatGPT Edu powered chatbot that answers undergraduate advising questions from a fixed set of policy documents and Faculty of Arts and Sciences websites, including the Student Handbook and departmental pages, and cites its sources. It reached incoming students over the summer of 2026 as they selected their first semester courses. The Harvard Crimson tested the tool, spoke with students and directors of undergraduate studies, and received statements from the program's Assistant Director: its own testing found the bot handled straightforward policy questions well but its limits showed on more nuanced concentration advising questions, and it cannot access live course search, Q reports, or some syllabi. Joseph K. Blitzstein, the Statistics department's director of undergraduate studies, separately tested it against real concentration advising questions and found it often gave wrong answers. In April 2026, Harvard's Advising Programs Office announced the tool as \"not meant to replace human advising\"; in a September 2026 statement to the Crimson, Assistant Director Brooks B. Lambert-Sluder called it a \"starting point\" rather than a replacement for human advising.",2026,[25],[193],[],true,[244,249],{"url":245,"title":246,"publisher":247,"date":248},"https://www.thecrimson.com/article/2026/9/4/ai-advising-chatbot/","Harvard Built an AI Academic Adviser. Here's How It Fared.","The Harvard Crimson","2026-09-04",{"url":250,"title":251,"publisher":247,"date":252},"https://www.thecrimson.com/article/2026/4/2/harvard-ai-chatbot-advising/","Harvard College Plans AI Chatbot To Guide Students on Courses, Requirements Beginning This Summer","2026-04-02",{"level":205,"checkedAt":173},"C","harvard-student-compass-academic-advising",0,[],{"low":259,"high":260},120000,1250000,[262,279,290,315],{"slug":171,"title":263,"shortTitle":264,"definition":265,"status":9,"industries":266,"functions":267,"patterns":269,"audience":26,"autonomy":271,"adoptionStage":272,"evidenceCount":273,"publicEvidenceCount":273,"organizations":274,"bestGrade":206,"headline":208,"lastVerified":278,"indexable":242},"AI assistant for student enrollment and student services","Student enrollment assistant","An AI assistant that answers admitted and current students' questions about admissions, financial aid, registration, housing and deadlines by text message and web chat, sends timely reminders for the tasks each student still has to complete, and hands personal or complex cases to staff.",[18],[20,268],"operations",[22,23,270],"classification-and-routing","supervised-agent","early-adopters",3,[275,276,277],"Adelphi University","Austin Peay State University","Georgia State University","2026-09-27",{"slug":172,"title":280,"shortTitle":281,"definition":282,"status":9,"industries":283,"functions":284,"patterns":285,"audience":26,"autonomy":27,"adoptionStage":28,"evidenceCount":273,"publicEvidenceCount":273,"organizations":286,"bestGrade":206,"headline":208,"lastVerified":278,"indexable":242},"AI tutor that coaches students through problems","AI tutor for students","An AI tutor that works with a student on course material in a conversation, asking questions and giving hints instead of handing over answers, grounded in the course content and set up by the school or teacher, with limits on use and a clear route to a human teacher.",[18],[20],[22,23],[287,288,289],"Hamilton County Schools","Harvard University","World Bank",{"slug":291,"title":292,"shortTitle":293,"definition":294,"status":9,"industries":295,"functions":298,"patterns":299,"audience":26,"autonomy":271,"adoptionStage":302,"segment":303,"evidenceCount":304,"publicEvidenceCount":52,"organizations":305,"bestGrade":206,"headline":308,"lastVerified":278,"indexable":242},"account-and-card-servicing-agent","AI agent for account and card servicing","Account and card servicing","An AI agent that resolves routine account and card requests end to end, such as balances, statements, card blocks and replacements, PIN resets and limit changes, across app, web, messaging and phone, and hands anything sensitive or unusual to a human with the full context.",[296,297],"banking","payments",[20,268],[22,300,301,23],"voice-agent","agentic-workflow","mainstream","front-office",4,[306,307],"Commonwealth Bank of Australia","DBS Bank",{"kpi":38,"label":309,"unit":310,"n":52,"nUpTo":256,"kind":311,"value":312,"qualifier":313,"claimant":314,"organization":307,"vendorReported":184},"Containment rate","percent","reported",90,"approximately","organization",{"slug":316,"title":317,"shortTitle":318,"definition":319,"status":9,"industries":320,"functions":322,"patterns":324,"audience":26,"autonomy":271,"adoptionStage":272,"evidenceCount":273,"publicEvidenceCount":273,"organizations":325,"bestGrade":206,"headline":208,"lastVerified":278,"indexable":242},"apartment-leasing-and-resident-service-agent","AI agent for apartment leasing inquiries and resident service","Leasing and resident service agent","An AI agent that answers rental prospects and residents by chat, text, email and phone for a property manager: it answers questions about apartments and policies, books tours, takes maintenance requests, sends renewal and payment reminders, and hands anything that needs judgment to leasing or service staff.",[321],"real-estate",[20,323,268],"sales",[22,300,301,23],[326,327,328],"Asset Living","AvalonBay Communities","Equity Residential",{"indexable":242,"reasons":330},[],[332,337,342,349,356,362,368,375,383,389,396,402,409,416,422,427,434,440,446,452,458,464,469,474,479,486,493,498,504,511,517,523,529,534],{"id":133,"label":333,"issuer":139,"region":140,"url":334,"description":335,"useCases":336,"indexable":242},"EU AI Act","https://eur-lex.europa.eu/eli/reg/2024/1689/oj","Regulation (EU) 2024/1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",197,{"id":134,"label":338,"issuer":139,"region":140,"url":339,"description":340,"useCases":341,"indexable":242},"GDPR","https://eur-lex.europa.eu/eli/reg/2016/679/oj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",180,{"id":343,"label":344,"issuer":345,"region":146,"url":346,"description":347,"useCases":348,"indexable":242},"iso-42001","ISO/IEC 42001","ISO and IEC","https://www.iso.org/standard/81230.html","The international management system standard for AI.",110,{"id":350,"label":351,"issuer":352,"region":186,"url":353,"description":354,"useCases":355,"indexable":242},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","https://www.nist.gov/itl/ai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",83,{"id":357,"label":358,"issuer":139,"region":140,"url":359,"description":360,"useCases":361,"indexable":242},"dora","DORA","https://eur-lex.europa.eu/eli/reg/2022/2554/oj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",66,{"id":135,"label":363,"issuer":364,"region":140,"url":365,"description":366,"useCases":367,"indexable":242},"UK GDPR","Information Commissioner's Office","https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/","The UK's version of the GDPR, including rules on solely automated decisions.",64,{"id":369,"label":370,"issuer":371,"region":140,"url":372,"description":373,"useCases":374,"indexable":242},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https://www.fca.org.uk/firms/consumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",47,{"id":376,"label":377,"issuer":378,"region":379,"url":380,"description":381,"useCases":382,"indexable":242},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https://www.mas.gov.sg/news/media-releases/2025/mas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",36,{"id":384,"label":385,"issuer":386,"region":379,"url":387,"description":388,"useCases":67,"indexable":242},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https://www.apra.gov.au/operational-risk-management","Australian operational risk standard covering critical operations and material service providers.",{"id":390,"label":391,"issuer":392,"region":146,"url":393,"description":394,"useCases":395,"indexable":242},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",20,{"id":397,"label":398,"issuer":399,"region":186,"url":400,"description":401,"useCases":395,"indexable":242},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https://www.federalreserve.gov/boarddocs/srletters/2011/sr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":403,"label":404,"issuer":405,"region":140,"url":406,"description":407,"useCases":408,"indexable":242},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",16,{"id":410,"label":411,"issuer":412,"region":146,"url":413,"description":414,"useCases":415,"indexable":242},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Fatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",15,{"id":417,"label":418,"issuer":139,"region":140,"url":419,"description":420,"useCases":421,"indexable":242},"eu-amlr","EU Anti Money Laundering Regulation","https://eur-lex.europa.eu/eli/reg/2024/1624/oj","Regulation (EU) 2024/1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":423,"label":424,"issuer":139,"region":140,"url":425,"description":426,"useCases":421,"indexable":242},"nis2","NIS2 Directive","https://eur-lex.europa.eu/eli/dir/2022/2555/oj","Directive (EU) 2022/2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",{"id":428,"label":429,"issuer":430,"region":186,"url":431,"description":432,"useCases":433,"indexable":242},"us-bsa","Bank Secrecy Act","FinCEN","https://www.fincen.gov/resources/statutes-and-regulations/bank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":435,"label":436,"issuer":139,"region":140,"url":437,"description":438,"useCases":439,"indexable":242},"eu-accessibility-act","European Accessibility Act","https://eur-lex.europa.eu/eli/dir/2019/882/oj","Directive (EU) 2019/882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",12,{"id":441,"label":442,"issuer":443,"region":186,"url":444,"description":445,"useCases":439,"indexable":242},"hipaa","HIPAA","US Department of Health and Human Services","https://www.hhs.gov/hipaa/index.html","US rules for the privacy and security of protected health information.",{"id":447,"label":448,"issuer":449,"region":146,"url":450,"description":451,"useCases":439,"indexable":242},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https://www.berec.europa.eu/","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":453,"label":454,"issuer":139,"region":140,"url":455,"description":456,"useCases":457,"indexable":242},"eecc","European Electronic Communications Code","https://eur-lex.europa.eu/eli/dir/2018/1972/oj","Directive (EU) 2018/1972: consumer protection, contract, switching and security rules for telecom operators.",11,{"id":459,"label":460,"issuer":461,"region":186,"url":462,"description":463,"useCases":457,"indexable":242},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https://www.fcc.gov/consumers/guides/stop-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":465,"label":466,"issuer":378,"region":379,"url":467,"description":468,"useCases":66,"indexable":242},"mas-notice-626","MAS Notice 626","https://www.mas.gov.sg/regulation/notices/notice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",{"id":470,"label":471,"issuer":139,"region":140,"url":472,"description":473,"useCases":66,"indexable":242},"mifid-ii","MiFID II","https://eur-lex.europa.eu/eli/dir/2014/65/oj","Directive 2014/65/EU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":475,"label":476,"issuer":139,"region":140,"url":477,"description":478,"useCases":66,"indexable":242},"eu-psd2","PSD2","https://eur-lex.europa.eu/eli/dir/2015/2366/oj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":480,"label":481,"issuer":482,"region":140,"url":483,"description":484,"useCases":485,"indexable":242},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https://www.eba.europa.eu/regulation-and-policy/credit-risk/guidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",9,{"id":487,"label":488,"issuer":489,"region":186,"url":490,"description":491,"useCases":492,"indexable":242},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https://www.consumerfinance.gov/rules-policy/regulations/1002/9/","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",8,{"id":494,"label":495,"issuer":139,"region":140,"url":496,"description":497,"useCases":492,"indexable":242},"solvency-ii","Solvency II","https://eur-lex.europa.eu/eli/dir/2009/138/oj","Directive 2009/138/EC: risk based capital, governance and model requirements for insurers.",{"id":499,"label":500,"issuer":139,"region":140,"url":501,"description":502,"useCases":503,"indexable":242},"eu-idd","Insurance Distribution Directive","https://eur-lex.europa.eu/eli/dir/2016/97/oj","Directive (EU) 2016/97: conduct rules for selling insurance, including demands and needs testing and advice.",6,{"id":505,"label":506,"issuer":507,"region":508,"url":509,"description":510,"useCases":53,"indexable":242},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https://www.centralbank.ae/","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",{"id":512,"label":513,"issuer":514,"region":140,"url":515,"description":516,"useCases":304,"indexable":242},"pra-ss1-23","PRA SS1/23 model risk management","Prudential Regulation Authority","https://www.bankofengland.co.uk/prudential-regulation/publication/2023/may/model-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",{"id":518,"label":519,"issuer":520,"region":140,"url":521,"description":522,"useCases":304,"indexable":242},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https://www.psr.org.uk/our-work/app-scams/","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":524,"label":525,"issuer":526,"region":379,"url":527,"description":528,"useCases":273,"indexable":242},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":530,"label":531,"issuer":139,"region":140,"url":532,"description":533,"useCases":273,"indexable":242},"eu-mar","EU Market Abuse Regulation","https://eur-lex.europa.eu/eli/reg/2014/596/oj","Regulation (EU) 596/2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":535,"label":536,"issuer":537,"region":186,"url":538,"description":539,"useCases":273,"indexable":242},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",1790598294086]