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\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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-n90wxf10.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n90wxf10.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n90wxf10.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n90wxf10.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n90wxf10.nxe :where(ul,ol){padding-left:20px}#nxe-n90wxf10.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n90wxf10.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n90wxf10.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n90wxf10.nxe svg{display:none}#nxe-n90wxf10.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n90wxf10.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n90wxf10.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-hero\" data-layout=\"editorial\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>R-P03 \u00b7 TOPIC \u00b7 algorithmic-public-decisions<\/strong>GRF dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">AI and Digital Governance<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 AI and Digital Governance<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Algorithmic public decisions<\/h1><p class=\"nx-tagline\">Governments use algorithms to assess benefit claims, detect fraud, allocate inspections, set risk scores in policing and migration, and support judges and caseworkers. These decisions affect rights and livelihoods at scale, and errors repeat across thousands of cases before anyone sees them. This page sets out how algorithmic public decisions go wrong and how safeguards work, the records that show them, and who decides whether and how a system is used.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/\">Back to Topics<\/a><\/div><\/div><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\">7 parts<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">Algorithmic public decisions: how the risk develops<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\">What is measured, and how well<\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Canvas<\/span><span class=\"nx-register-v\">From sources to decisions<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where the evidence comes from<\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Decisions<\/span><span class=\"nx-register-v\">Who decides, and what the evidence serves<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRF \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in East Asia<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Public algorithm register, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Algorithmic public decisions: how\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><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\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Algorithmic public decisions are decisions by public bodies that are made or shaped by automated systems, in areas such as welfare, tax, policing, migration and justice. Their risks are scaled errors, bias, nominal human review and opacity. Ministers, data protection authorities, ombudsmen and courts hold the decisions.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><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\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in East Asia.<\/h2><p class=\"nx-lede\">For algorithmic public decisions, in GRF's situational-awareness reading, the map opens on population density and night lights with night lights tonight from NASA GIBS, framed on East Asia; 4 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"east-asia:digital\" data-ml-points=\"on\" data-ml-src=\"digital\" data-ml-plan=\"p-66fe9435\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"100,18,146,50\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, East Asia: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For algorithmic public decisions, in GRF's situational-awareness reading, the map opens on population density and night lights with night lights tonight from NASA GIBS, framed on East Asia; 4 further NASA layers wait in the list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA\/NOAA VIIRS \u00b7 GDACS \u00b7 NASA EONET<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): NASA\/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/grf\/R-P03\/topics\/algorithmic-public-decisions\/#map\" data-nxf-title=\"AI and Digital Governance live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><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\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Public algorithm register, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-aigov-register\" data-cx=\"aigov.register\" data-variant=\"section\" aria-label=\"Public algorithm register: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Public algorithm register<\/h3><p class=\"nx-fk-sub\">Algorithmic public decisions \u00b7 Algorithm register \u00b7 Quarter 1<\/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>Two high-risk systems without assessment<\/span><span class=\"nx-cx-prod\">GRF \u00b7 AI and Digital Governance<\/span><\/div><div class=\"nx-cx-grid\"><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\">Registered systems<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-aigov-register-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-aigov-register-t0\" aria-label=\"Registered systems\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">System<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Agency<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Risk class<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Impact assessment<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Human review<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-aigov-register:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Benefit fraud flagging<\/td><td>Social agency<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Missing<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Partial<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-register:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Permit triage<\/td><td>Planning<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Limited<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-register:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>School placement<\/td><td>Education<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-register:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Chat assistant<\/td><td>Tax office<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Minimal<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>n\/a<\/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\">Oversight action<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>System<\/dt><dd>Benefit fraud flagging<\/dd><\/div><div><dt>Required<\/dt><dd>impact assessment, appeal route<\/dd><\/div><div><dt>Deadline<\/dt><dd>64 days<\/dd><\/div><div><dt>Authority<\/dt><dd>Oversight body<\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Complaints about automated decisions<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Complaints about automated decisions\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-aigov-register-c2\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Complaints|ink|l||0:40.7;1:40;2:35.1;3:32.2;4:32.2;5:26.8;6:24.7;7:22.7;8:17.7;9:15.4;10:15.1;11:14.5;12:14.2;13:15.7;14:11.4;15:9.4;16:6.1;17:6;18:8.7;19:10.2;20:6.5;21:6.5;22:11.2;23:12.2~Upheld|acc|l||0:47.3;1:48.3;2:46;3:42.9;4:42.1;5:43.7;6:47.5;7:44.1;8:46.1;9:43;10:42.7;11:43.2;12:39.3;13:35.7;14:36.3;15:36.5;16:39.3;17:37.7;18:35.1;19:32.4;20:31.3;21:30.8;22:32.1;23:32.3\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Public algorithm register: the screen's structure, terms and states for Algorithmic public decisions.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><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\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Algorithmic public decisions: how the risk develops.<\/h2><p class=\"nx-lede\">Contestability and transparency. 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\"><circle cx=\"12\" cy=\"4.5\" r=\"2.5\"\/><path d=\"m10.2 6.3-3.9 3.9\"\/><circle cx=\"4.5\" cy=\"12\" r=\"2.5\"\/><path d=\"M7 12h10\"\/><circle cx=\"19.5\" cy=\"12\" r=\"2.5\"\/><path d=\"m13.8 17.7 3.9-3.9\"\/><circle cx=\"12\" cy=\"19.5\" r=\"2.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Errors scale silently<\/h3><p class=\"nx-p nx-mt-1\">A flawed rule or model applies to every case it touches. Without monitoring of outcomes and appeals, a systematic error can wrongly deny or penalise many people before it is detected.<\/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\">Bias enters through data and design<\/h3><p class=\"nx-p nx-mt-1\">Historical data reflect past decisions and enforcement patterns. Proxies such as postcode or nationality can produce unequal outcomes even when protected characteristics are excluded.<\/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\">Human review becomes rubber-stamping<\/h3><p class=\"nx-p nx-mt-1\">Officials asked to review automated outputs under time pressure tend to accept them. Meaningful review needs time, authority to overrule and information about how the output was produced.<\/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\">Opacity blocks challenge<\/h3><p class=\"nx-p nx-mt-1\">People cannot contest a decision they do not know was automated or cannot understand. Notice, reasons and access to an appeal decide whether errors are corrected.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-6\"><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\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Automated decision-making<\/td><td data-label=\"Definition\">A decision taken by technological means without meaningful human involvement.<\/td><\/tr><tr><td data-label=\"Term\">Algorithm register<\/td><td data-label=\"Definition\">A public list of algorithmic systems used by a government body, with their purpose and safeguards.<\/td><\/tr><tr><td data-label=\"Term\">Automation bias<\/td><td data-label=\"Definition\">The tendency of people to over-rely on automated outputs and accept them without adequate scrutiny.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"band\" aria-labelledby=\"nx-s-7\"><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\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" 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\">Public algorithmic systems in a transparency register<\/td><td data-label=\"Unit\">count by agency<\/td><td data-label=\"Cadence\">on update<\/td><td data-label=\"Source type\">Algorithm registers<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Algorithmic impact assessments published<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Government publications<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Appeals against automated decisions<\/td><td data-label=\"Unit\">count and share upheld<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Agency and tribunal records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Outcome disparity across groups<\/td><td data-label=\"Unit\">ratio of adverse outcome rates<\/td><td data-label=\"Cadence\">per audit<\/td><td data-label=\"Source type\">Independent audits<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Systems suspended or withdrawn after review<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Government and court records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Ombudsman complaints about automated decisions<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Ombudsman reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/grf\/R-P03\/topics\/algorithmic-public-decisions\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><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\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Algorithmic public decisions as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-r-p03-topics-algorithmic-public-decisions-t nx-dag-r-p03-topics-algorithmic-public-decisions-d\" data-nx-z=\"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\"><title id=\"nx-dag-r-p03-topics-algorithmic-public-decisions-t\">Algorithmic public decisions: AI risk management, govern to manage<\/title><desc id=\"nx-dag-r-p03-topics-algorithmic-public-decisions-d\">Governance sets roles and policies; the context and intended use are mapped; capability, safety, robustness and fairness are measured; risks are managed with mitigations and a deployment gate; incidents feed monitoring and the registry. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><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\">Sources<\/span><\/div><h2 id=\"nx-s-9\" 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\">UK Algorithmic Transparency Recording Standard records<\/td><td data-label=\"What it gives\">Published records of algorithmic tools used by public bodies<\/td><td data-label=\"Licence class\">Open Government Licence<\/td><\/tr><tr><td data-label=\"Source\">Amsterdam and Helsinki algorithm registers<\/td><td data-label=\"What it gives\">City registers of algorithmic systems in use<\/td><td data-label=\"Licence class\">Open data, terms per city<\/td><\/tr><tr><td data-label=\"Source\">Canada Directive on Automated Decision-Making and Algorithmic Impact Assessments<\/td><td data-label=\"What it gives\">Mandatory impact assessments for federal automated decisions<\/td><td data-label=\"Licence class\">Open Government Licence, Canada<\/td><\/tr><tr><td data-label=\"Source\">Ombudsman and audit office reports<\/td><td data-label=\"What it gives\">Investigations of automated decision systems in public services<\/td><td data-label=\"Licence class\">Public records, terms per office<\/td><\/tr><tr><td data-label=\"Source\">Court judgments on automated public decisions<\/td><td data-label=\"What it gives\">Rulings on lawfulness of algorithmic systems<\/td><td data-label=\"Licence class\">Public records, terms per court<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R-P03\/topics\/algorithmic-public-decisions\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\"><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\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">AI and Digital Governance 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\">Ministers and agency heads<\/td><td data-label=\"The question\">Whether to automate a decision and with what safeguards<\/td><td data-label=\"Evidence this page serves\">Impact assessments, audit evidence and lessons from comparable systems<\/td><\/tr><tr><td data-label=\"Who decides\">Data protection authorities<\/td><td data-label=\"The question\">Whether processing and automated decisions are lawful<\/td><td data-label=\"Evidence this page serves\">Assessment records and complaints<\/td><\/tr><tr><td data-label=\"Who decides\">Ombudsmen and audit offices<\/td><td data-label=\"The question\">Whether to investigate a system and what to recommend<\/td><td data-label=\"Evidence this page serves\">Appeals, complaints and outcome data<\/td><\/tr><tr><td data-label=\"Who decides\">Courts and tribunals<\/td><td data-label=\"The question\">Whether a decision or system breached rights or law<\/td><td data-label=\"Evidence this page serves\">Records presented by parties; the page serves context only<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Comparative notes on algorithm registers and impact assessments<\/li><li>Guide to meaningful human review in automated decisions<\/li><li>Dialogue briefs on lessons from suspended public algorithms<\/li><li>Questions for agencies before deploying an automated decision system<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"band\" aria-labelledby=\"nx-s-11\"><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\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What experts ask about algorithmic public decisions.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"columns\"><ul class=\"nx-list\"><li>What legal power authorizes this use, and does the algorithm stay within it?<\/li><li>Can a person affected find out that an algorithm was used, understand how, and challenge the result?<\/li><li>Does the system perform differently for different groups, and is that justified?<\/li><li>What happens when the system is wrong, and how quickly is the error found and corrected?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><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\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How algorithmic decisions go wrong.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Algorithms trained on historical data can reproduce historical patterns of disadvantage. A proxy variable that seems neutral, such as postcode, may correlate with protected characteristics. Errors at scale differ from individual errors: a flawed rule applied to an entire caseload harms many people at once and in the same way, which can overwhelm complaint systems.<\/p><p class=\"nx-p\">The burden of proof often shifts silently. When a system flags someone as high-risk, that person may need to prove a negative, without knowing what evidence the system used. Well-documented failures of automated benefits and fraud systems show that the greatest harm comes when automated flags are treated as findings rather than prompts for human investigation.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><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\">Methods and limits<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Safeguards and their limits.<\/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\">Public registers of algorithms<\/h3><p class=\"nx-p nx-mt-1\">Listing systems used by public bodies and their purposes. Limits: registers are often incomplete and vary in detail.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Explanation and notification<\/h3><p class=\"nx-p nx-mt-1\">Telling people when an algorithm was used and why it produced a result. Limits: explanations of complex models can be partial.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Fairness testing<\/h3><p class=\"nx-p nx-mt-1\">Measuring performance across groups, using <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/\">machine learning<\/a> methods. Limits: different fairness measures can conflict, and choosing among them is a value judgement.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Appeal and redress<\/h3><p class=\"nx-p nx-mt-1\">Routes to human review, appeal and remedy. Limits: depend on accessible processes and adequate staffing.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" 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:\/\/globalriskforum.com\/ai-digital-governance\/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\">Third-party audit scope \u00b7 Fairness testing in public systems \u00b7 Post-deployment monitoring<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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=\"AI evaluation and assurance engineering: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/policy-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Policy, institutional and decision science<\/span><span class=\"nx-mledger-role\">Comparing AI regimes \u00b7 Value chain accountability mapping \u00b7 Forum and mandate mapping<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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\/science\/policy-science\/\" aria-label=\"Policy, institutional and decision science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">How models fail in deployment \u00b7 Reading model documentation \u00b7 Agent architectures explained<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/digital-identity\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Digital identity and public digital systems<\/span><span class=\"nx-mledger-role\">Assurance levels for public services \u00b7 Minimal disclosure \u00b7 Exclusion analysis<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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\/digital-identity\/\" aria-label=\"Digital identity and public digital systems: canonical page on the STEM Commons\">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\">Registers rely on agencies to declare systems and are incomplete. Outcome data by group are often unavailable because protected characteristics are not recorded. Audits differ in method and access. AI and Digital Governance compares safeguards and evidence; it does not audit any public system, assess lawfulness or advise any agency.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is an algorithmic impact assessment?<\/summary><div class=\"nx-answer\">A structured review, before and during deployment, of the risks an automated system poses to people and how they are mitigated. Canada requires one for federal automated decisions.<\/div><\/details><details><summary>What makes human review meaningful?<\/summary><div class=\"nx-answer\">The reviewer has the time, competence, information and authority to depart from the system's output, and does so in practice when warranted.<\/div><\/details><details><summary>Do people have a right not to be subject to automated decisions?<\/summary><div class=\"nx-answer\">Under the GDPR, people have rights concerning decisions based solely on automated processing that significantly affect them, with exceptions and safeguards. Other jurisdictions differ.<\/div><\/details><details><summary>Can a public decision be made entirely by an algorithm?<\/summary><div class=\"nx-answer\">That depends on the law of each jurisdiction. Many legal systems restrict fully automated decisions with significant effects on people and require human involvement and a right to contest.<\/div><\/details><details><summary>Why can't fairness be measured with one number?<\/summary><div class=\"nx-answer\">Because there are several reasonable definitions of fairness, and mathematically they often cannot all be satisfied at once. Choosing among them is a policy decision.<\/div><\/details><details><summary>Does the platform take up individual cases?<\/summary><div class=\"nx-answer\">No. Individual cases belong to the deploying body, ombudsmen, tribunals and courts.<\/div><\/details><details><summary>Are algorithm registers required?<\/summary><div class=\"nx-answer\">Some jurisdictions and cities publish them voluntarily or under policy; requirements vary.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around AI and Digital Governance.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/ai-oversight-and-accountability\/\">AI oversight and accountability <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/digital-rights-and-privacy\/\">Digital rights and privacy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/data-governance-and-sharing\/\">Data governance and sharing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/autonomous-agents-and-liability\/\">Autonomous agents and liability <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/cyber-and-public-infrastructure\/\">Cyber and public infrastructure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/technology-procurement-and-standards\/\">Technology procurement and standards <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/\">AI and Digital Governance home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/\">The Global Risks Forum home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/trust\/\">GRF governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">AI and Digital Governance<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@globalriskforum.com?subject=AI%20and%20Digital%20Governance%3A%20Algorithmic%20public%20decisions\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/algorithmic-public-decisions\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/algorithmic-public-decisions\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is an algorithmic impact assessment?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A structured review, before and during deployment, of the risks an automated system poses to people and how they are mitigated. 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