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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n2ank7uu.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n2ank7uu.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n2ank7uu.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n2ank7uu.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n2ank7uu.nxe :where(ul,ol){padding-left:20px}#nxe-n2ank7uu.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n2ank7uu.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n2ank7uu.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n2ank7uu.nxe svg{display:none}#nxe-n2ank7uu.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n2ank7uu.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2ank7uu.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gra\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Risks Alliance\">GRA<\/abbr> \u00b7 AI and Financial Model Risk<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><p class=\"nx-scene-accent nx-es-sig\"><strong>Spatial finance<\/strong><span>Where capital meets hazard, exposure and transition<\/span><\/p><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Professional research<\/h1><p class=\"nx-scene-lede\">AI and Financial <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 model-risk\" data-tk=\"Nexus risk vocabulary\" data-td=\"Risk of harm from decisions based on models that are wrong, misused or applied outside their validity domain.\" data-ts=\"NRS-C1\" data-tr=\"draft\">Model Risk<\/a> research asks how validation should change for machine learning, how drift and bias can be detected early, how generative and agentic AI can be governed where guidance is silent, and how much institutions share models in ways that create common failure.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/methods\/\">Open Analysis and uncertainty <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/\">Back to AI and Financial Model Risk<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Professional research on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"ledger\"><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"ledger\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>AI and Financial Model Risk<\/strong><\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">Fields<\/span><span class=\"nx-register-v\">Artificial intelligence, Financial stability<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">STEM methods<\/span><span class=\"nx-register-v\">4 canonical methods applied<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Topics<\/span><span class=\"nx-register-v\">8 subject pages<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Counterparts<\/span><span class=\"nx-register-v\">5 platforms in shared fields<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Publisher<\/span><span class=\"nx-register-v\">The Global Risks Alliance<\/span><\/div><\/li><li><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/methods\/\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Analysis uncertainty<\/span><span class=\"nx-register-v\">Analysis and uncertainty<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/sources\/\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Financial source<\/span><span class=\"nx-register-v\">Financial source and licence register<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"finance\" aria-label=\"Questions, Agenda, Evidence\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Questions, Agenda, Evidence\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-questions\" aria-selected=\"true\" data-key=\"p1\">Questions<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-pg-nx-gra-ap07-rs\" aria-selected=\"false\" data-key=\"p2\">Agenda<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-evidence\" aria-selected=\"false\" data-key=\"p3\">Evidence<\/button><\/div><section id=\"nx-sec-questions\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"inset\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What the research asks.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Model risk governance<\/h3><p class=\"nx-p nx-mt-1\">Inventory, ownership and validation.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Credit and pricing models<\/h3><p class=\"nx-p nx-mt-1\">Finance-specific automated decisions.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Generative AI in finance<\/h3><p class=\"nx-p nx-mt-1\">Use cases and failure controls.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Explainability and fairness<\/h3><p class=\"nx-p nx-mt-1\">Interpretation, bias and accountability.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">05<\/span><div><h3 class=\"nx-h4\">Model monitoring and drift<\/h3><p class=\"nx-p nx-mt-1\">Changes over time and review thresholds.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">06<\/span><div><h3 class=\"nx-h4\">Human in the loop controls<\/h3><p class=\"nx-p nx-mt-1\">Authority and approvals.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-ap07-rs\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"band\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Agenda<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Questions, methods and limits.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Question<\/th><th>Method<\/th><th>Limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Question\">How should machine-learning models be validated?<\/td><td data-label=\"Method\">Comparison of guidance and published practice<\/td><td data-label=\"Limit\">Practice is private<\/td><\/tr><tr><td data-label=\"Question\">How early can drift be detected?<\/td><td data-label=\"Method\">Monitoring methods on public data sets<\/td><td data-label=\"Limit\">Benchmarks differ from real portfolios<\/td><\/tr><tr><td data-label=\"Question\">How common are shared models?<\/td><td data-label=\"Method\">Public disclosures and vendor-neutral surveys<\/td><td data-label=\"Limit\">Use is often undisclosed<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-evidence\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Evidence<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Every result keeps its label.<\/h2><p class=\"nx-lede\">Results are labelled as observed, published statistics, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><span class=\"nx-eyebrow\">Methods<\/span><h3 class=\"nx-h4 nx-mt-2\">Methods and uncertainty<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/methods\/\">How results are produced and where they stop<\/a><\/p><\/div><div><span class=\"nx-eyebrow\">Sources<\/span><h3 class=\"nx-h4 nx-mt-2\">Source and data register<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/sources\/\">Where data comes from and on what terms<\/a><\/p><\/div><div><span class=\"nx-eyebrow\">Publications<\/span><h3 class=\"nx-h4 nx-mt-2\">Reviewed outputs<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/publications\/\">Citable work with its editorial status<\/a><\/p><\/div><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"project\" aria-label=\"Sources, Pages, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Sources, Pages, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"true\" data-key=\"p1\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-s-6-sec\" aria-selected=\"false\" data-key=\"p2\">Pages<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-s-7-sec\" aria-selected=\"false\" data-key=\"p3\">Questions<\/button><\/div><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Where this page&#8217;s references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.federalreserve.gov\/supervisionreg\/srletters.htm\"><span>US interagency revised guidance on model risk management, SR 26-2 (April 2026), superseding SR 11-7<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\"><span>NIST AI Risk Management Framework 1.0<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-6-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pages<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Pages in Professional research.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/methods\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Analysis and uncertainty<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/sources\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Financial source and licence register<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions and answers<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can I propose a research question?<\/summary><div class=\"nx-answer\">Yes. Write to <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/write-to-us\/contact\/\">the contact form<\/a> with the question, the context and who would use the answer. A proposal receives a reference; it does not commit the platform to the work.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">Global Risks Alliance<\/span><span class=\"nx-chip\">AI and Financial Model Risk<\/span><span class=\"nx-chip\">Methods and Technical<\/span><span class=\"nx-chip\">Exponential Technology<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GRA<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">Global Risks Alliance<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gra\/ai-financial-model-risk\/research#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-iskalliance-com-ai-financial-model-risk-research-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-iskalliance-com-ai-financial-model-risk-research-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-iskalliance-com-ai-financial-model-risk-research-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/model\/scenarios\/urban-flood\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Urban flood<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/finance-economics\/banking-credit\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Banking and credit risk<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/finance\/financial-and-economic-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Financial and economic risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-8\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">AI and Financial Model Risk<\/span><h2 id=\"nx-close-8\" class=\"nx-section-title\">Bring an exposure or capital question to the Alliance.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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