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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-ny2ez3k2.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-ny2ez3k2.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-ny2ez3k2.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-ny2ez3k2.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-ny2ez3k2.nxe :where(ul,ol){padding-left:20px}#nxe-ny2ez3k2.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-ny2ez3k2.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-ny2ez3k2.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-ny2ez3k2.nxe svg{display:none}#nxe-ny2ez3k2.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-ny2ez3k2.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ny2ez3k2.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\">Analysis and uncertainty<\/h1><p class=\"nx-scene-lede\"><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> is managed through inventory, documentation, conceptual soundness review, outcome analysis, benchmarking and ongoing monitoring. This page explains each step, how machine learning changes it, and why generative and agentic AI sit partly outside current guidance.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/write-to-us\/contact\/\">Make an enquiry <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\/research\/\">Back to Professional research<\/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\">Contents<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Analysis and uncertainty in five parts.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"editorial\"><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"contents\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>In this dossier<\/strong><\/span><span class=\"nx-eyebrow\">5 parts<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\">The methods in use<\/span><\/a><\/li><li><a href=\"#nx-sec-pg-nx-gra-ap07-me-xai\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\">Explainability and fairness methods, with limits<\/span><\/a><\/li><li><a href=\"#nx-sec-pg-nx-gra-ap07-me-uq\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Uncertainty<\/span><span class=\"nx-register-v\">Quantifying what the model does not know<\/span><\/a><\/li><li><a href=\"#nx-sec-uncertainty\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Uncertainty<\/span><span class=\"nx-register-v\">How uncertainty is reported<\/span><\/a><\/li><li><a href=\"#nx-sec-pg-sources\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where this page&#8217;s references lead<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-2\"><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\">Methods<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Gradient-boosted credit models \u00b7 Language models in operations \u00b7 Anomaly detection<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\" aria-label=\"Canonical \u00b7 STEM Commons: Artificial intelligence and machine learning\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-assurance\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">AI evaluation and assurance engineering<\/span><span class=\"nx-mledger-role\">Validation of machine learning models \u00b7 Red-teaming generative AI \u00b7 Fairness assessment<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/engineering\/ai-assurance\/\" aria-label=\"Canonical \u00b7 STEM Commons: AI evaluation and assurance engineering\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Prediction intervals for loss models \u00b7 Model ensembles \u00b7 Model risk capital or buffers<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\" aria-label=\"Canonical \u00b7 STEM Commons: Uncertainty quantification and model validation\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Calibration testing \u00b7 Drift statistics \u00b7 Group outcome comparison<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Canonical \u00b7 STEM Commons: Probability and statistics\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-nx-gra-ap07-me-xai\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-3\"><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\">Explainability and fairness methods<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Explainability and fairness methods, with limits.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Method<\/th><th>Gives<\/th><th>Limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">SHAP and other attribution methods<\/td><td data-label=\"Gives\">Contribution of each input to a prediction<\/td><td data-label=\"Limit\">Correlated inputs blur attribution<\/td><\/tr><tr><td data-label=\"Method\">Counterfactual explanations<\/td><td data-label=\"Gives\">What change would alter the decision<\/td><td data-label=\"Limit\">May suggest infeasible changes<\/td><\/tr><tr><td data-label=\"Method\">Group fairness metrics<\/td><td data-label=\"Gives\">Outcome differences across groups<\/td><td data-label=\"Limit\">Metrics can conflict<\/td><\/tr><tr><td data-label=\"Method\">Challenger models<\/td><td data-label=\"Gives\">Independent benchmark<\/td><td data-label=\"Limit\">Shares data weaknesses<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><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\">Process<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-launch\" id=\"explore-nx-pe-source-passport\" data-kind=\"explorer\" data-js><div class=\"nx-launch-row\"><div class=\"nx-launch-text\"><p class=\"nx-launch-eb\">Process explorer \u00b7 Process<\/p><h3 class=\"nx-launch-t\" id=\"explore-nx-pe-source-passport-t\">Analysis and uncertainty: Source to evidence record<\/h3><p class=\"nx-launch-facts\"><span>10 steps<\/span><span class=\"nx-launch-sep\" aria-hidden=\"true\">\u00b7<\/span><span>4 stages<\/span><span class=\"nx-launch-sep\" aria-hidden=\"true\">\u00b7<\/span><span>2 gates<\/span><\/p><\/div><button type=\"button\" class=\"nx-launch-open\" aria-expanded=\"false\" aria-controls=\"explore-nx-pe-source-passport-body\" data-open-label=\"Open explorer\" data-close-label=\"Close explorer\"><svg class=\"nx-launch-i nx-launch-play\" viewBox=\"0 0 14 14\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 1v12L13 7z\"\/><\/svg><svg class=\"nx-launch-i nx-launch-x\" viewBox=\"0 0 14 14\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m2.5 2.5 9 9m0-9-9 9\"\/><\/svg><span>Open explorer<\/span><\/button><\/div><div class=\"nx-launch-body\" id=\"explore-nx-pe-source-passport-body\" role=\"region\" aria-labelledby=\"explore-nx-pe-source-passport-t\" tabindex=\"-1\"><div class=\"nx-pe\" id=\"nx-pe-source-passport\" data-nx-pe=\"nx-pe-source-passport\" data-active=\"source-passport\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Analysis and uncertainty: Source to evidence record<\/h2><p class=\"nx-pe-cap\">A source is registered and assessed, its record labelled and classified, and a Digital Evidence Passport carries provenance; a correction reaches every dependent record.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Intake<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Identify the source<\/span><span class=\"nx-pe-k\">Source \u00b7 The source steward<\/span><span class=\"nx-pe-sm\">Discovery is not ingestion. Source identification records the source class, steward, institutional role and jurisdiction.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Register the source<\/span><span class=\"nx-pe-k\">Step<\/span><span class=\"nx-pe-sm\">Registration makes a discovered source a governed participant in the evidence lifecycle. It implies no endorsement or certification.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Assessment<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Jurisdiction and rights classification<\/span><span class=\"nx-pe-k\">Gate<\/span><span class=\"nx-pe-sm\">Rights classification identifies licence, consent, confidentiality and reuse limits. The result determines access and routing.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Evidence quality assessment<\/span><span class=\"nx-pe-k\">Step<\/span><span class=\"nx-pe-sm\">Quality assessment decides whether a record is fit for a defined use. Quality is multidimensional and never a single score.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Evidence label<\/span><span class=\"nx-pe-k\">Step<\/span><span class=\"nx-pe-sm\">Every finding carries one of nine evidence labels. Missing data is shown as missing, never as zero.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Record<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Evidence classification<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">Classification gives records lifecycle states, such as source-verified, public-safe or restricted. States can coexist and set evidence use.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\">Source release and identifier<\/span><span class=\"nx-pe-k\">Record \u00b7 <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-s6\" data-tc=\"NXS-GRX\" data-tk=\"Nexus system\" data-td=\"Canonical data, provenance and risk\" data-ts=\"NRS-S6\">NXS-GRX<\/a> (canonical data, provenance and risk)<\/span><span class=\"nx-pe-sm\">A source release records rights, temporal coverage and source lineage. A <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/uni\/\" data-tc=\"UNI\" data-tk=\"Nexus Standards\" data-td=\"The universal identifier of every Nexus artifact (NS-1)\">UNI<\/a> is allocated through a catalogue and never typed by hand.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">Digital Evidence Passport<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The passport records provenance, quality, rights, jurisdiction, permitted use and history, so evidence keeps its context when it travels.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Use and correction<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Correction reaches dependent records<\/span><span class=\"nx-pe-k\">Step \u00b7 NXS-GRX (canonical data, provenance and risk)<\/span><span class=\"nx-pe-sm\">A source correction propagates to dependent cuts and products without rewriting old results.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Public-safe review<\/span><span class=\"nx-pe-k\">Gate<\/span><span class=\"nx-pe-sm\">Public-safe review decides whether a record can be shared publicly. It is a distinct stage and is not validation.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/standardization\/nexus-ecosystem\/iii.-infrastructure\/operations\/nexus-ecosystem-data-protocols\/03-evidence-lifecycle-and-data-operations\" rel=\"noopener\">Data protocols: evidence lifecycle<\/a> \u00b7 Data protocols: core data objects and evidence records \u00b7 The Global Risks Index (NXS-GRX)<\/span><span>Designed programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The data-protocol pages describe a design, not a running system.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"project\" aria-label=\"Uncertainty, Uncertainty, Sources, 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=\"Uncertainty, Uncertainty, Sources, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-pg-nx-gra-ap07-me-uq\" aria-selected=\"true\" data-key=\"p1\">Uncertainty<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-uncertainty\" aria-selected=\"false\" data-key=\"p2\">Uncertainty<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"false\" data-key=\"p3\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-s-8-sec\" aria-selected=\"false\" data-key=\"p4\">Questions<\/button><\/div><section id=\"nx-sec-pg-nx-gra-ap07-me-uq\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-5\" 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\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Quantifying what the model does not know.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Prediction intervals and calibration checks show when a model is outside its experience. Methods at <a class=\"nx-link\" href=\"https:\/\/therisk.global\/risk-management\/stem\/uncertainty-quantification\/\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> uncertainty quantification<\/a>; topic depth at explainability and fairness.<\/p><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-6\" 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\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">How uncertainty is reported<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How uncertainty is reported.<\/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\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-7\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-7\" 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.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><li><a class=\"nx-link\" href=\"https:\/\/eur-lex.europa.eu\/eli\/reg\/2024\/1689\/oj\"><span>EU AI Act (Regulation 2024\/1689) as amended by the AI Omnibus, Regulation 2026\/1744 (credit-scoring high-risk duties from 2 December 2027)<\/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-8-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"project\" 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\/methods#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. 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