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outline-offset: -2px; } .vt-l { font: 500 13.5px\/1.2 var(--h-sans); letter-spacing: -0.005em; } .vt-d { font: 400 11.5px\/1.3 var(--h-body); color: var(--h-muted); } .vpane { display: grid; grid-template-columns: repeat(var(--cols, 3), minmax(0, 1fr)); gap: 0 28px; min-width: 0; animation: nxh-in var(--h-base) var(--h-ease); } .vpane[hidden] { display: none; } @keyframes nxh-in { from { transform: translateY(4px); } to { transform: none; } } .rail.slim { padding: 0; background: none; border: 0; } .viz { height: 200px; margin: -6px 0 18px; } .viz canvas { display: block; width: 100%; height: 100%; } .p-body[data-rail=\"none\"] { grid-template-columns: repeat(var(--cols, 3), minmax(0, 1fr)); } .col { display: flex; flex-direction: column; gap: 26px; min-width: 0; } .g-head { display: flex; align-items: center; justify-content: space-between; gap: 12px; padding-block-end: 10px; border-block-end: 1px solid var(--h-line); } .g-head .eyebrow { color: var(--h-text-2); } .g-head a.eyebrow:hover { color: var(--h-text); } .g-desc { font: 400 11.5px\/1.25 var(--h-body); color: var(--h-muted); display: -webkit-box; -webkit-box-orient: vertical; -webkit-line-clamp: 2; white-space: normal; overflow: hidden; min-width: 0; } .rows { margin-top: 6px; } .row { display: flex; align-items: center; gap: 12px; min-height: 44px; padding: 5px 8px; margin: 0 -8px; border-radius: 5px; transition: background-color var(--h-fast) var(--h-ease); } .row:hover, .row:focus-visible { background: var(--h-hover); } .row:focus-visible { outline-offset: -2px; } .row[aria-current] .r-t { color: var(--h-accent); } .itile { display: inline-flex; width: 32px; height: 32px; align-items: center; justify-content: center; border: 1px solid var(--h-line); border-radius: 5px; color: var(--h-text-2); flex: none; transition: border-color var(--h-fast) var(--h-ease), color var(--h-fast) var(--h-ease); } .row:hover .itile, .row:focus-visible .itile { border-color: var(--h-line-strong); color: var(--h-text); } .r-txt { display: block; min-width: 0; flex: 1; } .r-t { display: block; font: 500 13.5px\/1.2 var(--h-sans); letter-spacing: -0.005em; color: var(--h-text); white-space: nowrap; overflow: hidden; text-overflow: ellipsis; } .r-d { display: -webkit-box; -webkit-box-orient: vertical; -webkit-line-clamp: 2; margin-top: 3px; font: 400 12px\/1.35 var(--h-body); color: var(--h-muted); white-space: normal; overflow: hidden; } .row .arrow { opacity: 0; color: var(--h-muted); transition: opacity var(--h-fast) var(--h-ease), transform var(--h-fast) var(--h-ease); } .row:hover .arrow, .row:focus-visible .arrow { opacity: 1; transform: translateX(2px); } .row.compact { min-height: 38px; padding-block: 3px; gap: 10px; } .row.compact .itile { width: 28px; height: 28px; } .row.compact .itile .ic { width: 15px; height: 15px; } .vpane .row.compact .r-t { font-weight: 450; color: var(--h-text-2); } .vpane .row.compact:hover .r-t, .vpane .row.compact:focus-visible .r-t { color: var(--h-text); } .rail { display: flex; flex-direction: column; padding: 20px; background: var(--h-elevated); border: 1px solid var(--h-line); border-radius: 5px; min-width: 0; } .feat { display: block; margin-top: 10px; border-radius: 5px; } .feat-t { display: flex; align-items: center; gap: 8px; margin-top: 0; font: 500 15px\/1.25 var(--h-sans); letter-spacing: -0.01em; color: var(--h-text); } .feat-d { display: block; margin-top: 4px; font: 400 12.5px\/1.45 var(--h-body); color: var(--h-muted); } .feat:hover .feat-t .arrow { transform: translateX(2px); } .acts { display: flex; flex-direction: column; gap: 8px; margin-top: 18px; } .btn { display: inline-flex; align-items: center; justify-content: center; gap: 8px; height: 40px; padding: 0 16px; border-radius: 5px; font: 500 13px\/1 var(--h-sans); white-space: nowrap; transition: background-color var(--h-fast) var(--h-ease), border-color var(--h-fast) var(--h-ease); } .btn.primary { background: var(--h-primary-bg); color: var(--h-primary-ink); } .btn.primary:hover { background: var(--h-primary-hover); } .btn.secondary { border: 1px solid var(--h-line-strong); color: var(--h-text); } .btn.secondary:hover { border-color: var(--h-text); background: var(--h-hover); } .pts { margin: 18px 0 0; border-block-start: 1px solid var(--h-line); } .pt { display: flex; flex-direction: column; gap: 5px; padding: 10px 0; border-block-end: 1px solid var(--h-line); } .pt-v { font: 400 12px\/1.45 var(--h-body); color: var(--h-text-2); } .p-foot { display: flex; flex-wrap: wrap; align-items: center; gap: 8px 20px; padding: 12px 24px; border-block-start: 1px solid var(--h-line); } .p-foot a { font: 400 12.5px\/1 var(--h-sans); color: var(--h-muted); min-height: 24px; display: inline-flex; align-items: center; } .p-foot a:hover { color: var(--h-text); } .ctx { border-block-start: 1px solid var(--h-line); } .ctx .wrap { height: var(--h-ctx-h); gap: 16px; } .crumbs { display: flex; align-items: center; gap: 8px; flex: none; min-width: 0; font-size: 13px; } .crumbs li { display: flex; align-items: center; gap: 8px; min-width: 0; white-space: nowrap; } .crumbs li + li::before { content: \"\/\"; color: var(--h-muted); } .crumbs a { color: var(--h-muted); min-height: 24px; display: inline-flex; align-items: center; } .crumbs a:hover { color: var(--h-text); } .crumbs a[aria-current] { color: var(--h-text); font-weight: 500; } .vsep { width: 1px; height: 18px; background: var(--h-line-strong); flex: none; } .inl { display: flex; align-items: center; gap: 2px; min-width: 0; flex: 1; overflow-x: auto; scrollbar-width: none; } .inl::-webkit-scrollbar { display: none; } .inl a[hidden] { display: none; } .inl a { display: inline-flex; align-items: center; height: 32px; padding: 0 10px; border-radius: 5px; font-size: 13px; color: var(--h-text-2); white-space: nowrap; } .inl a:hover { background: var(--h-hover); color: var(--h-text); } .inl a[aria-current] { color: var(--h-text); font-weight: 500; box-shadow: inset 0 -2px 0 var(--h-accent); border-radius: 0; } .ctx .trig { height: 32px; font-size: 13px; flex: none; border: 1px solid var(--h-line-strong); } .ctx .trig[aria-expanded=\"true\"]::after { display: none; } .drawer { position: fixed; inset: var(--nxh-bottom, 56px) 0 0 0; z-index: 3; background: var(--h-canvas); color: var(--h-text-2); overflow-y: auto; overscroll-behavior: contain; padding: 8px 20px 40px; border-block-start: 1px solid var(--h-line); } .drawer[hidden] { display: none; } .d-sec { border-block-end: 1px solid var(--h-line); } .d-btn { display: flex; align-items: center; justify-content: space-between; gap: 12px; width: 100%; min-height: 56px; padding: 8px 0; text-align: start; } .d-btn .d-l { display: block; font: 500 16px\/1.2 var(--h-sans); color: var(--h-text); letter-spacing: -0.01em; } .d-btn .eyebrow { display: block; margin-top: 6px; white-space: normal; line-height: 1.45; } .d-btn[aria-expanded=\"true\"] .chev { transform: rotate(180deg); } .d-body { padding: 0 0 18px; } .d-body[hidden] { display: none; } .d-group + .d-group { margin-top: 18px; } .d-group .g-head { margin-bottom: 4px; } .d-acts { display: grid; grid-template-columns: 1fr 1fr; gap: 8px; margin-top: 16px; } .d-links { display: flex; flex-direction: column; padding: 12px 0; border-block-end: 1px solid var(--h-line); } .d-links a { display: flex; align-items: center; justify-content: space-between; min-height: 44px; font: 500 15px\/1.2 var(--h-sans); color: var(--h-text); } .d-net { padding: 18px 0 0; } .d-net ul { margin-top: 10px; display: grid; grid-template-columns: 1fr 1fr; gap: 0 16px; } .d-net a { display: flex; align-items: center; min-height: 40px; font-size: 14px; color: var(--h-text-2); } .d-net a[aria-current] { color: var(--h-text); font-weight: 500; box-shadow: inset 2px 0 0 var(--h-accent); padding-inline-start: 10px; } .d-net a[aria-current]:dir(rtl) { box-shadow: inset -2px 0 0 var(--h-accent); } .d-crumbs { padding: 14px 0 4px; } @media (max-width: 1279px) { .panel .r-d, .panel .g-desc { display: none; } .p-body { grid-template-columns: repeat(var(--cols, 3), minmax(0, 1fr)) 232px; gap: 0 24px; } .p-body.tabbed { grid-template-columns: 184px minmax(0, 1fr) 232px; } .vpane { gap: 0 24px; } .vt-d { display: none; } .row { min-height: 38px; } } @media (max-width: 1199px) { .nx-lang__label { display: none; } .nx-lang__code { display: inline; } .theme .tl { position: absolute; width: 1px; height: 1px; overflow: hidden; clip: rect(0 0 0 0); } .theme button { padding: 0 7px; } .end .contact { display: none; } } @media (max-width: 959px) { :host { --h-gutter: 16px; --h-bar-h: 56px; --h-ctx-h: 40px; } .net, .main, .end .contact, .end .acct { display: none; } .bar .wrap { justify-content: space-between; } .burger { display: inline-flex; } .ctx .inl, .ctx .vsep, .ctx .trig { display: none; } .crumbs { flex: 1; overflow: hidden; } .crumbs li:not(:first-child):not(:last-child) { display: none; } .crumbs li:last-child { overflow: hidden; } .crumbs li:last-child a { overflow: hidden; text-overflow: ellipsis; display: block; line-height: 24px; } } @media (prefers-reduced-motion: reduce) { *, *::before, *::after { transition: none !important; animation: none !important; } } .f { position: relative; background: var(--h-elevated); color: var(--h-text); border-top: 1px solid var(--h-line); font: 400 14px\/1.5 var(--h-body); -webkit-font-smoothing: antialiased; } .f::before { content: \"\"; position: absolute; left: 0; right: 0; top: -1px; height: 2px; background: var(--h-rule); } .f-wrap { max-width: var(--h-max); margin: 0 auto; padding: 44px var(--h-gutter) 24px; } .f-head { display: grid; grid-template-columns: minmax(0, 1fr) auto; align-items: end; gap: 16px 40px; padding-bottom: 32px; } .f-id { min-width: 0; } .f-site { font: 500 22px\/1.25 var(--h-sans); letter-spacing: -0.015em; color: var(--h-text); text-decoration: none; } .f-site:hover { text-decoration: underline; text-underline-offset: 3px; } .f-role { margin: 8px 0 0; color: var(--h-text-2); font-size: 14px; line-height: 1.55; max-width: 76ch; } .f-acts { display: flex; flex-wrap: wrap; align-items: center; gap: 8px; } .f-act { appearance: none; display: inline-flex; align-items: center; gap: 8px; min-height: 36px; padding: 0 14px; border: 1px solid var(--h-line-strong); border-radius: 5px; background: var(--h-canvas); color: var(--h-text); font: 500 13px\/1 var(--h-sans); text-decoration: none; cursor: pointer; white-space: nowrap; } .f-act:hover { background: var(--h-hover); } .f-docs { background: var(--h-primary-bg); border-color: var(--h-primary-bg); color: var(--h-primary-ink); } .f-docs:hover { background: var(--h-primary-hover); border-color: var(--h-primary-hover); } .f-row { border-top: 1px solid var(--h-line); padding: 26px 0 30px; } .f-row-h { margin: 0 0 22px; } .f-cols { display: grid; grid-template-columns: repeat(5, minmax(0, 1fr)); gap: 28px 32px; } .f-col { min-width: 0; } .f-col > summary { list-style: none; cursor: default; display: flex; align-items: center; justify-content: space-between; gap: 8px; margin-bottom: 10px; } .f-col > summary::-webkit-details-marker { display: none; } .f-ch { display: inline-flex; align-items: center; gap: 10px; min-width: 0; font: 600 13.5px\/1.3 var(--h-sans); color: var(--h-text); } .f-ci { display: inline-grid; place-items: center; flex: none; width: 26px; height: 26px; border: 1px solid var(--h-line); border-radius: 5px; background: var(--h-canvas); color: var(--h-text-2); } .f-ci .ic { width: 14px; height: 14px; } .f-chev { display: none; } .f-col ul { list-style: none; margin: 0; padding: 0; display: grid; gap: 0; } .f-col a { color: var(--h-text-2); text-decoration: none; font: 400 13.5px\/1.35 var(--h-body); display: inline-flex; align-items: center; min-height: 28px; padding: 3px 0; } .f-col a:hover { color: var(--h-text); } .f-col a:hover > span:last-child { text-decoration: underline; text-underline-offset: 3px; } .f-li { display: inline-flex; width: 16px; height: 16px; margin-inline-end: 10px; color: var(--h-muted); flex: none; transition: color var(--h-fast) var(--h-ease); } .f-li .ic { width: 15px; height: 15px; stroke-width: 1.6; } .f-col a:hover .f-li { color: var(--h-text); } .f-col a[aria-current=\"page\"] { color: var(--h-text); font-weight: 500; } .f-bar { display: flex; flex-wrap: wrap; align-items: center; gap: 8px 24px; padding-top: 18px; border-top: 1px solid var(--h-line); color: var(--h-muted); font: 400 12.5px\/1.4 var(--h-body); } .f-copy { font: 500 12px\/1.4 var(--h-mono); letter-spacing: 0.02em; color: var(--h-text-2); } .f-links { list-style: none; margin-block: 0; margin-inline: auto 0; padding: 0; display: flex; flex-wrap: wrap; gap: 4px 20px; } .f-links a { color: var(--h-text-2); text-decoration: none; display: inline-flex; align-items: center; min-height: 24px; } .f-links a:hover { color: var(--h-text); text-decoration: underline; text-underline-offset: 3px; } @media (max-width: 1080px) { .f-cols { grid-template-columns: repeat(3, minmax(0, 1fr)); } .f-head { grid-template-columns: 1fr; align-items: start; } } @media (max-width: 720px) { .f-wrap { padding: 32px 16px 20px; } .f-head { gap: 14px; padding-bottom: 24px; } .f-site { font-size: 20px; } .f-row { padding: 14px 0 16px; } .f-row-h { margin-bottom: 6px; } .f-cols { grid-template-columns: 1fr; gap: 0; } .f-col { border-bottom: 1px solid var(--h-line); } .f-col > summary { cursor: pointer; min-height: 48px; margin: 0; } .f-chev { display: block; flex: none; transition: transform var(--h-fast) var(--h-ease); } .f-col[open] .f-chev { transform: rotate(180deg); } .f-col ul { padding-bottom: 10px; } .f-col a { min-height: 40px; } .f-links { margin-inline-start: 0; } } .itile.ccf { border-color: transparent; font: 14px\/1 \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Noto Color Emoji\", sans-serif; } .row.cty { gap: 7px; min-height: 26px; padding-block: 2px; align-items: flex-start; } .row.cty .itile.ccf { width: 16px; height: 16px; margin-top: 1px; } .row.cty .r-t { font: 400 11px\/1.35 var(--h-mono); letter-spacing: 0.01em; color: var(--h-text-2); white-space: normal; overflow: visible; text-overflow: clip; word-break: normal; overflow-wrap: normal; hyphens: none; } .row.cty:hover .r-t, .row.cty:focus-visible .r-t { color: var(--h-text); } .row.cty .arrow { display: none; } .onp { display: none; position: relative; border-block-start: 1px solid var(--h-line); background: inherit; } :host([data-stuck][data-onp]) .onp { display: block; } .onp .wrap { height: 40px; gap: 16px; } .onp-l { flex: 0 0 auto; } .onp-list { --onp-fs: 0px; --onp-fe: 0px; display: flex; align-items: center; gap: 2px; flex: 1; min-width: 0; margin: 0; padding: 0; list-style: none; overflow-x: auto; overflow-y: hidden; overscroll-behavior-x: contain; scroll-snap-type: x proximity; scroll-padding-inline: 40px; scrollbar-width: none; -webkit-mask-image: linear-gradient(to right, transparent 0, #000 var(--onp-fs), #000 calc(100% - var(--onp-fe)), transparent 100%); mask-image: linear-gradient(to right, transparent 0, #000 var(--onp-fs), #000 calc(100% - var(--onp-fe)), transparent 100%); } .onp-list:dir(rtl) { -webkit-mask-image: linear-gradient(to left, transparent 0, #000 var(--onp-fs), #000 calc(100% - var(--onp-fe)), transparent 100%); mask-image: linear-gradient(to left, transparent 0, #000 var(--onp-fs), #000 calc(100% - var(--onp-fe)), transparent 100%); } .onp-list[data-fade~=\"start\"] { --onp-fs: 40px; } .onp-list[data-fade~=\"end\"] { --onp-fe: 40px; } .onp-list > li { flex: none; scroll-snap-align: start; } .onp-list::-webkit-scrollbar { display: none; } .onp-list a { display: inline-flex; align-items: center; height: 30px; padding: 0 10px; border-radius: 5px; font: 400 13px\/1 var(--h-body); color: var(--h-muted); white-space: nowrap; text-decoration: none; transition: color var(--h-fast) var(--h-ease), background var(--h-fast) var(--h-ease); } .onp-list a:hover { background: var(--h-hover); color: var(--h-text); } .onp-list a:focus-visible { outline: 2px solid var(--h-accent); outline-offset: -2px; } .onp-list a[aria-current] { color: var(--h-text); font-weight: 500; box-shadow: inset 0 -2px 0 var(--h-accent); border-radius: 0; } .onp-n { flex: 0 0 auto; font: 500 11px\/1 var(--h-mono); letter-spacing: 0.08em; color: var(--h-muted); font-variant-numeric: tabular-nums; direction: ltr; unicode-bidi: isolate; } .onp-prog { position: absolute; inset-inline-start: 0; inset-block-end: -1px; height: 2px; width: var(--onp-p, 0%); background: linear-gradient(90deg, var(--h-a), var(--h-b), var(--h-c)); transition: width 120ms linear; pointer-events: none; } @media (max-width: 760px) { .onp-l { display: none; } .onp .wrap { height: 38px; gap: 10px; } } @media (prefers-reduced-motion: reduce) { .onp-prog, .onp-list a { transition: none; } } @media print { .onp { display: none !important; } } :host([data-a11y~=\"readable-font\"]) .h, :host([data-a11y~=\"readable-font\"]) .h * { font-family: Verdana, \"Atkinson Hyperlegible\", Tahoma, Arial, sans-serif !important; } :host([data-a11y~=\"dyslexia-font\"]) .h, :host([data-a11y~=\"dyslexia-font\"]) .h * { font-family: \"OpenDyslexic\", Verdana, Arial, sans-serif !important; } :host([data-a11y~=\"letter-spacing\"]) .h * { letter-spacing: var(--readabler-letter-spacing, 0.05em) !important; } :host([data-a11y~=\"font-sizing\"]) :is(.main .menus, .net ul, .inl, .crumbs, .onp-list, .end) { zoom: var(--a11y-font, 1); } :host([data-a11y~=\"highlight-links\"]) a { outline: 2px solid var(--readabler-color, #ffda00) !important; outline-offset: 2px; text-decoration: underline !important; } :host([data-a11y~=\"highlight-focus\"]) :focus-visible, :host([data-a11y~=\"highlight-focus\"]) :focus { outline: 3px solid var(--readabler-color, #ffda00) !important; outline-offset: 2px !important; } :host([data-a11y~=\"highlight-hover\"]) :is(a, button, summary):hover { outline: 2px dashed var(--readabler-color, #ffda00) !important; outline-offset: 2px; } :host([data-a11y~=\"dark-contrast\"]) { --h-canvas: #000000; --h-elevated: #0a0a0a; --h-sunken: #000000; --h-hover: #1f1f1f; --h-line: rgba(255, 255, 255, 0.55); --h-line-strong: #ffffff; --h-text: #ffffff; --h-text-2: #ffffff; --h-muted: #f0f0f0; --h-accent: #ffda00; color-scheme: dark; } :host([data-a11y~=\"light-contrast\"]) { --h-canvas: #ffffff; --h-elevated: #ffffff; --h-sunken: #ffffff; --h-hover: #e6e6e6; --h-line: rgba(0, 0, 0, 0.6); --h-line-strong: #000000; --h-text: #000000; --h-text-2: #000000; --h-muted: #111111; --h-accent: #0000cc; color-scheme: light; } :host([data-a11y~=\"stop-animations\"]) *, :host([data-a11y~=\"stop-animations\"]) *::before, :host([data-a11y~=\"stop-animations\"]) *::after { animation: none !important; transition: none !important; scroll-behavior: auto !important; } :host([data-a11y~=\"hide-images\"]) img { visibility: hidden !important; } :host { --h-code: \"IBM Plex Mono\", ui-monospace, \"SFMono-Regular\", Consolas, \"Liberation Mono\", monospace; } :host(:lang(ar)), :host(:lang(fa)), :host(:lang(ur)) { --h-sans: \"IBM Plex Sans Arabic\", \"IBM Plex Sans\", \"Noto Sans Arabic\", \"Segoe UI\", Tahoma, \"Geeza Pro\", sans-serif; --h-body: \"IBM Plex Sans Arabic\", \"IBM Plex Sans\", \"Noto Sans Arabic\", \"Segoe UI\", Tahoma, \"Geeza Pro\", sans-serif; --h-mono: \"IBM Plex Sans Arabic\", \"IBM Plex Sans\", \"Noto Sans Arabic\", \"Segoe UI\", Tahoma, \"Geeza Pro\", sans-serif; --h-code: \"IBM Plex Mono\", \"IBM Plex Sans Arabic\", ui-monospace, \"SFMono-Regular\", Consolas, monospace; --nx-lh-body: 1.8; --nx-lh-heading: 1.45; --nx-weight-heading: 500; --nx-weight-strong: 500; font-synthesis-weight: none; font-synthesis-style: none; font-variant-numeric: lining-nums; text-justify: inter-word; } :host(:lang(ar)) *, :host(:lang(fa)) *, :host(:lang(ur)) * { letter-spacing: 0 !important; text-transform: none !important; } :host(:lang(ar)) :is(code, kbd, samp, pre, var, data, .nx-code, .nx-uni, .nx-num, [data-nx-code], [data-num], [class*=\"-code\"], [class*=\"-uni\"], [class*=\"-num\"]), :host(:lang(ar)) :is(code, kbd, samp, pre, var, data, .nx-code, .nx-uni, .nx-num, [data-nx-code], [data-num], [class*=\"-code\"], [class*=\"-uni\"], [class*=\"-num\"]) *, :host(:lang(fa)) :is(code, kbd, samp, pre, var, data, .nx-code, .nx-uni, .nx-num, [data-nx-code], [data-num], [class*=\"-code\"], [class*=\"-uni\"], [class*=\"-num\"]), :host(:lang(fa)) :is(code, kbd, samp, pre, var, data, .nx-code, .nx-uni, .nx-num, [data-nx-code], [data-num], [class*=\"-code\"], [class*=\"-uni\"], [class*=\"-num\"]) *, :host(:lang(ur)) :is(code, kbd, samp, pre, var, data, .nx-code, .nx-uni, .nx-num, [data-nx-code], [data-num], [class*=\"-code\"], [class*=\"-uni\"], [class*=\"-num\"]), :host(:lang(ur)) :is(code, kbd, samp, pre, var, data, .nx-code, .nx-uni, .nx-num, [data-nx-code], [data-num], [class*=\"-code\"], [class*=\"-uni\"], [class*=\"-num\"]) * { --h-mono: \"IBM Plex Mono\", \"IBM Plex Sans Arabic\", ui-monospace, 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class=\"acct-lbl\">'+o(t)+'<\\\/span><\\\/summary><div class=\"acctm__p acct-panel\" role=\"group\" aria-label=\"'+o(R(\"yourAccount\",\"Your account\"))+'\"><div class=\"acct-who\">'+a+'<span class=\"acct-nm\">'+o(t)+\"<\\\/span><\\\/div>\"+i+\"<\\\/div><\\\/details>\"}var ae=C.menus||[];var y=C.context||null;var M=C.network||{items:[]};var m=\"<style>\"+st+'<\\\/style><div class=\"h\" part=\"header\">';var ct=M.show!==false;if(ct)m+='<nav class=\"net\" aria-label=\"'+o(M.title||M.label)+'\"><div class=\"wrap\"><span class=\"eyebrow\"><span class=\"rule\"><\\\/span>'+o(M.label)+\"<\\\/span><ul>\";for(var pe=0;ct?pe<M.items.length:false;pe++)m+='<li><a href=\"'+o(M.items[pe].u)+'\"'+(M.items[pe].title?' title=\"'+o(M.items[pe].title)+'\"':\"\")+(M.items[pe].current?' aria-current=\"true\"':\"\")+\">\"+o(M.items[pe].t)+Ze(M.items[pe].fl)+\"<\\\/a><\\\/li>\";if(ct)m+=\"<\\\/ul>\"+(M.foundry?'<a class=\"foundry\" href=\"'+o(M.foundry.u)+'\">'+o(M.foundry.t)+q(L.arrow,\"arrow\")+\"<\\\/a>\":\"\")+\"<\\\/div><\\\/nav>\";m+='<div class=\"bar\"><div class=\"wrap\"><button type=\"button\" class=\"burger\" aria-expanded=\"false\" aria-controls=\"nxh-drawer\">'+q(L.menu)+'<span class=\"bl\">Menu<\\\/span><\\\/button>';m+='<nav class=\"main\" aria-label=\"'+o(C.code||\"Site\")+' navigation\"><ul class=\"menus\">';var ut=[];for(var ft=0;ft<ae.length;ft++){var na=le(\"t\"),Et=le(\"p\");ut.push(Et);m+='<li class=\"m\">'+Jt(ae[ft].label,na,Et)+Xt(ae[ft],Et,na,false)+\"<\\\/li>\"}var xe=C.links||[];for(var $e=0;$e<xe.length;$e++)m+='<li><a class=\"link\" href=\"'+o(xe[$e].u)+'\"'+(xe[$e].current?' aria-current=\"true\"':\"\")+\">\"+o(xe[$e].t)+\"<\\\/a><\\\/li>\";m+=\"<\\\/ul><\\\/nav>\";m+='<div class=\"end\">'+(C.contact?'<a class=\"link contact\" href=\"'+o(C.contact.u)+'\"'+We(C.contact.u)+\">\"+o(C.contact.t)+\"<\\\/a>\":\"\")+Ua()+'<slot 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n15rblz1.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 id=\"nx-sec-field\" 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\">Explainability and fairness<\/h1><p class=\"nx-scene-lede\">Customers, staff and supervisors need to understand why a model made a decision, and decisions must not discriminate unlawfully. Explainability methods give reasons for individual outputs and overall behaviour; fairness testing compares outcomes across groups. Both have limits, and law sets duties such as giving reasons for credit denial. This page sets out how explainability and fairness are assessed, the evidence used and who decides.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/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\/topics\/\">Back to Topics<\/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\">Explainability and fairness on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"dossier\"><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">AI and Financial Model Risk \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">hexagonal field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/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=\"The question, Monitor, Indicators, Exposure, loss and capital\"><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=\"The question, Monitor, Indicators, Exposure, loss and capital\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-question\" aria-selected=\"true\" data-key=\"p1\">The question<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-3-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-indicators\" aria-selected=\"false\" data-key=\"p3\">Indicators<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p4\">Exposure, loss and capital<\/button><\/div><section id=\"nx-sec-question\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" 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\">The question<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">Explainability and fairness: how the risk develops.<\/h2><p class=\"nx-lede\">Interpretation, bias and accountability. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Post-hoc explanations approximate<\/h3><p class=\"nx-p nx-mt-1\">Methods such as feature attributions explain a complex model approximately. Different methods can give different reasons for the same decision, and none guarantees the true cause.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Fairness has several definitions<\/h3><p class=\"nx-p nx-mt-1\">Equal approval rates, equal error rates and calibration across groups cannot all hold at once when base rates differ. Choosing a criterion is a policy and legal decision, not a technical default.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m14.5 12.5-8 8a2.119 2.119 0 1 1-3-3l8-8\"\/><path d=\"m16 16 6-6\"\/><path d=\"m8 8 6-6\"\/><path d=\"m9 7 8 8\"\/><path d=\"m21 11-8-8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Reasons must be specific<\/h3><p class=\"nx-p nx-mt-1\">Credit laws require specific reasons for adverse decisions. Generic reasons or ones unrelated to the actual driver do not meet the duty, whatever the model's complexity.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M2 12s3-7 10-7 10 7 10 7-3 7-10 7-10-7-10-7Z\"\/><circle cx=\"12\" cy=\"12\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Opacity hides harm<\/h3><p class=\"nx-p nx-mt-1\">Without explanation and outcome testing, unfair patterns surface only through complaints, litigation or enforcement, after many customers are affected.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" 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\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Model risk lifecycle.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-modelrisk-lifecycle\" data-cx=\"modelrisk.lifecycle\" data-variant=\"section\" aria-label=\"Model risk lifecycle: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Model risk lifecycle<\/h3><p class=\"nx-fk-sub\">Explainability and fairness \u00b7 Model inventory \u00b7 Committee 3<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>9 validations overdue<\/span><span class=\"nx-cx-prod\">GRA \u00b7 AI and Financial Model Risk<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Lifecycle<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"8\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Inventory<\/span><span class=\"nx-cx-snote\">registered<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Develop<\/span><span class=\"nx-cx-snote\">documented<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Validate<\/span><span class=\"nx-cx-snote\">independent<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Approve<\/span><span class=\"nx-cx-snote\">committee<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Implement<\/span><span class=\"nx-cx-snote\">controls<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Monitor<\/span><span class=\"nx-cx-snote\">thresholds<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Review<\/span><span class=\"nx-cx-snote\">annual<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Retire<\/span><span class=\"nx-cx-snote\">decommission<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Models<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-modelrisk-lifecycle-t1\"><table class=\"nx-fk-table\" data-fk-table=\"cx-modelrisk-lifecycle-t1\" aria-label=\"Models\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Model<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Tier<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Last validation<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Findings<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">State<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-modelrisk-lifecycle:r1-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>MD-169 PD retail<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Tier 1<\/span><\/td><td>19 months<\/td><td data-num=\"true\" data-sv=\"4\">4<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Overdue<\/span><\/td><\/tr><tr data-fk-key=\"cx-modelrisk-lifecycle:r1-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>MD-140 LLM complaints triage<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Tier 1<\/span><\/td><td>never<\/td><td data-num=\"true\" data-sv=\"0\">0<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Not validated<\/span><\/td><\/tr><tr data-fk-key=\"cx-modelrisk-lifecycle:r1-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>MD-400 IFRS 9 staging<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Tier 1<\/span><\/td><td>9 months<\/td><td data-num=\"true\" data-sv=\"1\">1<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Approved<\/span><\/td><\/tr><tr data-fk-key=\"cx-modelrisk-lifecycle:r1-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>MD-386 marketing propensity<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Tier 3<\/span><\/td><td>17 months<\/td><td data-num=\"true\" data-sv=\"1\">1<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Approved<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Validation scope<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Conceptual soundness<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>In progress<\/span><\/dd><\/div><div><dt>Outcomes analysis<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Pending<\/span><\/dd><\/div><div><dt>Benchmarking<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Pending<\/span><\/dd><\/div><div><dt>Use limits<\/dt><dd>human review required<\/dd><\/div><\/dl><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Model risk lifecycle: the screen's structure, terms and states for Explainability and fairness.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-indicators\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Adverse impact ratio<\/td><td data-label=\"Unit\">ratio of favourable outcome rates between groups<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Fairness testing<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Error rate differences across groups<\/td><td data-label=\"Unit\">difference in false positive or negative rates<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Fairness testing<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Explanation stability<\/td><td data-label=\"Unit\">agreement between explanation methods<\/td><td data-label=\"Cadence\">per validation<\/td><td data-label=\"Source type\">Validation testing<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Adverse action notices citing model reasons<\/td><td data-label=\"Unit\">share of declines with specific reasons<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Compliance review<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Complaints alleging unfair automated decisions<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Complaints data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Enforcement actions on algorithmic discrimination<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Regulator records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/topics\/explainability-and-fairness\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-5\" 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\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Exposure, loss and capital<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">What explainability and fairness means for exposure, loss and capital.<\/h2><p class=\"nx-lede\">The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"finance\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"transmission\"><h3 class=\"nx-h4\">Transmission channels<\/h3><p class=\"nx-p nx-au-what\">How a shock in explainability and fairness reaches credit, market, underwriting, liquidity and operational risk, and feeds back.<\/p><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 268\" role=\"img\" aria-label=\"Transmission channels from shocks through micro and macro channels to financial risks\" focusable=\"false\" data-nx-z=\"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\"><\/svg><\/div><figcaption class=\"nx-caption\"><span>Channel structure after the Basel Committee's work on climate-related risk drivers and transmission channels; links shown are typical paths, not estimated exposures.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">NGFS climate scenarios \u00b7 Network for Greening the Financial System<\/span><span class=\"nx-chip\">IFRS S2 Climate-related Disclosures \u00b7 ISSB<\/span><span class=\"nx-chip\">TCFD recommendations \u00b7 Financial Stability Board TCFD<\/span><span class=\"nx-chip\">Principles for the effective management of climate-related financial risks \u00b7 Basel Committee on Banking Supervision<\/span><\/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=\"finance\" aria-label=\"Sources, Decisions, Core questions, Mechanisms\"><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, Decisions, Core questions, Mechanisms\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-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-sec-decisions\" aria-selected=\"false\" data-key=\"p2\">Decisions<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-core-questions\" aria-selected=\"false\" data-key=\"p3\">Core questions<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-4\" aria-controls=\"nx-sec-mechanisms\" aria-selected=\"false\" data-key=\"p4\">Mechanisms<\/button><\/div><section id=\"nx-sec-sources\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-6\" 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\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">CFPB guidance on adverse action notices and AI<\/td><td data-label=\"What it gives\">United States duty to give specific reasons<\/td><td data-label=\"Licence class\">Public domain<\/td><\/tr><tr><td data-label=\"Source\">MAS FEAT principles and Veritas methodology documents<\/td><td data-label=\"What it gives\">Fairness assessment methods for financial services<\/td><td data-label=\"Licence class\">Free, MAS terms<\/td><\/tr><tr><td data-label=\"Source\">IAIS Application Paper on the supervision of AI<\/td><td data-label=\"What it gives\">Fairness, transparency and redress expectations for insurers<\/td><td data-label=\"Licence class\">Free, IAIS terms<\/td><\/tr><tr><td data-label=\"Source\">EIOPA report on governance principles for ethical and trustworthy AI<\/td><td data-label=\"What it gives\">Insurance sector AI fairness and governance<\/td><td data-label=\"Licence class\">Free, EU reuse terms<\/td><\/tr><tr><td data-label=\"Source\">Academic literature on fairness definitions and impossibility results<\/td><td data-label=\"What it gives\">Formal analysis of fairness criteria<\/td><td data-label=\"Licence class\">Free to read, terms per publisher<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/topics\/explainability-and-fairness\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-7\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-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> prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Boards and conduct committees<\/td><td data-label=\"The question\">Which fairness criteria apply to each use<\/td><td data-label=\"Evidence this page serves\">Legal requirements and outcome testing<\/td><\/tr><tr><td data-label=\"Who decides\">Model developers and validators<\/td><td data-label=\"The question\">Which explanation methods are reliable for a model<\/td><td data-label=\"Evidence this page serves\">Stability and fidelity testing<\/td><\/tr><tr><td data-label=\"Who decides\">Conduct and equality regulators<\/td><td data-label=\"The question\">Whether outcomes are lawful<\/td><td data-label=\"Evidence this page serves\">Outcome data, complaints and testing evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Compliance functions<\/td><td data-label=\"The question\">Whether customer explanations meet legal duties<\/td><td data-label=\"Evidence this page serves\">Notice reviews and model reason codes<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to fairness criteria and their trade-offs<\/li><li>Method note on testing explanation methods for stability<\/li><li>Brief on adverse action reasons for complex models<\/li><li>Questions for boards on fairness criterion choice<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-8\" 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\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">What experts ask.<\/h2><p class=\"nx-lede\">The questions concern understanding, justice and responsibility.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Can developers, validators, users and customers understand why a model made a decision?<\/li><li>Which fairness definition is appropriate for the decision, and who chose it?<\/li><li>Where does bias enter: data, design, deployment or feedback?<\/li><li>Can a customer challenge an automated decision and obtain redress?<\/li><li>Who is accountable when an unexplainable model causes harm?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Mechanisms and drivers.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Simple models such as scorecards are directly interpretable. Complex models, such as gradient-boosted trees and neural networks, require post-hoc explanation methods that approximate their behaviour; these approximations can be unstable or misleading. Explainability needs differ by audience: a validator needs technical depth, a customer needs a clear reason.<\/p><p class=\"nx-p\">Bias arises from historical data, unrepresentative samples, proxy variables and feedback loops in which model decisions shape future data. Fairness has several mathematical definitions, such as equal outcomes, equal error rates or equal calibration, which generally cannot all be satisfied at once. Choosing among them is a value judgement that should be made explicitly and accountably.<\/p><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-hue=\"finance\" aria-label=\"Methods and data, Methods, 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=\"Methods and data, Methods, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-sec-methods-and-data\" aria-selected=\"true\" data-key=\"p1\">Methods and data<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-sec-methods\" aria-selected=\"false\" data-key=\"p2\">Methods<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-3\" aria-controls=\"nx-s-12-sec\" aria-selected=\"false\" data-key=\"p3\">Questions<\/button><\/div><section id=\"nx-sec-methods-and-data\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">How it is studied, and where the methods stop.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method or data<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Limits<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method or data\">Interpretable model design<\/td><td data-label=\"What it shows\">Inherent transparency<\/td><td data-label=\"Limits\">May sacrifice some predictive performance<\/td><\/tr><tr><td data-label=\"Method or data\">Post-hoc explanation methods<\/td><td data-label=\"What it shows\">Feature contributions to outputs<\/td><td data-label=\"Limits\">Approximate and sometimes unstable<\/td><\/tr><tr><td data-label=\"Method or data\">Fairness testing across groups<\/td><td data-label=\"What it shows\">Disparities in outcomes and errors<\/td><td data-label=\"Limits\">Requires group data that may be unavailable<\/td><\/tr><tr><td data-label=\"Method or data\">Impact assessment<\/td><td data-label=\"What it shows\">Consequences for affected people<\/td><td data-label=\"Limits\">Relies on foresight and engagement<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-11\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><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\">01<\/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\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/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\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/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><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Fairness testing needs data on protected characteristics that firms often do not hold, so groups are inferred with error. Explanation methods are approximations and can be unstable. Legal standards differ by jurisdiction and product. Choosing among fairness criteria involves value judgements that evidence cannot settle. 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> explains methods; it gives no legal advice and assesses no firm.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-12\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can a model satisfy every fairness definition?<\/summary><div class=\"nx-answer\">Generally not when groups have different underlying outcome rates; research shows common criteria conflict, so a choice has to be made and justified.<\/div><\/details><details><summary>Are feature attributions true explanations?<\/summary><div class=\"nx-answer\">They approximate how inputs influenced an output. They help but can disagree between methods, so their stability and fidelity should be tested.<\/div><\/details><details><summary>Does using AI change the duty to explain credit decisions?<\/summary><div class=\"nx-answer\">No. United States guidance states that creditors must give specific and accurate reasons for adverse action whatever the technology used.<\/div><\/details><details><summary>Is a more accurate model always better?<\/summary><div class=\"nx-answer\">Not necessarily. A slightly less accurate model that is interpretable and fairer may be more appropriate, depending on the decision and the law.<\/div><\/details><details><summary>Can fairness be fully automated?<\/summary><div class=\"nx-answer\">No. Choosing a fairness definition involves value judgements and legal considerations that require human accountability.<\/div><\/details><details><summary>Who decides which fairness definition applies?<\/summary><div class=\"nx-answer\">The institution, within the law of the jurisdictions where it operates and under the oversight of its regulators. The choice should be documented, justified and reviewed, because it determines whose errors the model tolerates.<\/div><\/details><details><summary>Does the platform certify models as fair?<\/summary><div class=\"nx-answer\">No. GRA does not certify, validate or rate models.<\/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'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\/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. 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