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\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\"><style>#nxe-ne2sye2z.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 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-ne2sye2z.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-ne2sye2z.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-ne2sye2z.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-ne2sye2z.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-ne2sye2z.nxe :where(ul,ol){padding-left:20px}#nxe-ne2sye2z.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-ne2sye2z.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-ne2sye2z.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-ne2sye2z.nxe svg{display:none}#nxe-ne2sye2z.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-ne2sye2z.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ne2sye2z.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=\"dossier\" 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>G-P08 \u00b7 TOPIC \u00b7 autonomous-physical-systems<\/strong>GCRI 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\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/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 Artificial Intelligence and Autonomous Systems<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Autonomous physical systems<\/h1><p class=\"nx-tagline\">Autonomous vehicles, drones, industrial and service robots sense their surroundings and act in the physical world, where errors can injure people and damage property. Their safety depends on perception, decision-making, fallback behaviour and the environments they are allowed to operate in. This page sets out how autonomous physical systems fail, how their safety is assessed, and what evidence serves the regulators, operators and communities involved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/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:\/\/therisk.global\/ai-autonomous-systems\/topics\/\">Back to Topics<\/a><\/div><\/div><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\">G-P08 \u00b7 topic<\/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\">Definition and scope<\/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\">4 mechanisms<\/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\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/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-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/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\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \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>Agent oversight console, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Autonomous physical systems: how the\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=\"split\" 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\">Autonomous vehicles and robot safety is the field that covers machines that sense and act in the physical world without continuous human control, where errors can injure people. Safety depends on perception in rare situations, staying within the operating domain, handover to humans and structured safety cases.<\/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 autonomous physical systems, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, population density and night lights with true colour from NASA GIBS, framed on East Asia; 3 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-src=\"digital\" data-ml-plan=\"p-5fc0156b\"><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=\"true||||\" aria-pressed=\"false\">True colour<\/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><\/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\">3<\/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=\"true\" aria-pressed=\"true\" data-wm-z=\"20\" 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=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" 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=\"22\" 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=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" 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><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"evi\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Vegetation (EVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Enhanced vegetation index, rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra EVI \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"evi\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ndvi\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Greenness (NDVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Vegetation greenness (NDVI), rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra NDVI \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ndvi\" 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\" 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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 autonomous physical systems, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, population density and night lights with true colour from NASA GIBS, framed on East Asia; 3 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 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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\" target=\"_blank\">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): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). 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>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>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><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>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/li><li>Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/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:\/\/gcri\/G-P08\/topics\/autonomous-physical-systems\/#map\" data-nxf-title=\"Artificial Intelligence and Autonomous Systems 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\">Agent oversight console, 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-ai-agents\" data-cx=\"ai.agents\" data-variant=\"section\" aria-label=\"Agent oversight console: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Agent oversight console<\/h3><p class=\"nx-fk-sub\">Autonomous physical systems \u00b7 Agent sandbox \u00b7 Session AG-7276<\/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=\"info\"><i aria-hidden=\"true\"><\/i>Human approval pending<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Artificial Intelligence and Autonomous Systems<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"log\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Tool calls<\/h4><\/div><\/div><ol class=\"nx-cx-log\"><li><span class=\"nx-cx-ref\">10:<span class=\"nx-cx-n\">27<\/span><\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Info<\/span><span>search(documents) \u00b7 read-only<\/span><\/li><li><span class=\"nx-cx-ref\">10:<span class=\"nx-cx-n\">20<\/span><\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Info<\/span><span>run_model(flood_nowcast) \u00b7 sandbox<\/span><\/li><li><span class=\"nx-cx-ref\">10:<span class=\"nx-cx-n\">39<\/span><\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Gate<\/span><span>send_message(external) \u00b7 needs approval<\/span><\/li><li><span class=\"nx-cx-ref\">10:<span class=\"nx-cx-n\">45<\/span><\/span><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Error<\/span><span>write_file(outside workspace) \u00b7 denied<\/span><\/li><\/ol><\/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\">Policy<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Scope<\/dt><dd>workspace only<\/dd><\/div><div><dt>External actions<\/dt><dd>human approval<\/dd><\/div><div><dt>Spend limit<\/dt><dd>11 units<\/dd><\/div><div><dt>Kill switch<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Armed<\/span><\/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\">Actions by approval class<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 210\" width=\"520\" height=\"210\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Actions by approval class\" data-fk-chart=\"cx-ai-agents-c2\"><g data-m=\"axes\"><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"180\" y2=\"180\"\/><text data-m=\"tick\" x=\"34\" y=\"183.5\" text-anchor=\"end\">0<\/text><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"98\" y2=\"98\"\/><text data-m=\"tick\" x=\"34\" y=\"101.5\" text-anchor=\"end\">50<\/text><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"16\" y2=\"16\"\/><text data-m=\"tick\" x=\"34\" y=\"19.5\" text-anchor=\"end\">100<\/text><text data-m=\"label\" x=\"40\" y=\"6\" text-anchor=\"start\">count this week<\/text><\/g><line data-m=\"axis\" x1=\"40\" x2=\"510\" y1=\"180\" y2=\"180\"\/><g data-m=\"col\" data-k=\"c-b0\"><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"s4\" x=\"53.2\" y=\"71.8\" width=\"67.7\" height=\"108.2\"\/><text data-m=\"tick\" x=\"87\" y=\"194\" text-anchor=\"middle\">Auto<\/text><rect data-m=\"hit\" x=\"40\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b1\"><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"s4\" x=\"147.2\" y=\"129.2\" width=\"67.7\" height=\"50.8\"\/><text data-m=\"tick\" x=\"181\" y=\"194\" text-anchor=\"middle\">Logged<\/text><rect data-m=\"hit\" x=\"134\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b2\"><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"s4\" x=\"241.2\" y=\"107.8\" width=\"67.7\" height=\"72.2\"\/><text data-m=\"tick\" x=\"275\" y=\"194\" text-anchor=\"middle\">Approved<\/text><rect data-m=\"hit\" x=\"228\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b3\"><rect data-m=\"bar\" data-k=\"b-b3\" data-c=\"s4\" x=\"335.2\" y=\"134.1\" width=\"67.7\" height=\"45.9\"\/><text data-m=\"tick\" x=\"369\" y=\"194\" text-anchor=\"middle\">Denied<\/text><rect data-m=\"hit\" x=\"322\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b4\"><rect data-m=\"bar\" data-k=\"b-b4\" data-c=\"s4\" x=\"429.2\" y=\"134.1\" width=\"67.7\" height=\"45.9\"\/><text data-m=\"tick\" x=\"463\" y=\"194\" text-anchor=\"middle\">Escalated<\/text><rect data-m=\"hit\" x=\"416\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Agent oversight console: the screen's structure, terms and states for Autonomous physical systems.<\/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\">Autonomous physical systems: how the risk develops.<\/h2><p class=\"nx-lede\">Robots, sensors and controls. 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=\"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\">Perception meets the unexpected<\/h3><p class=\"nx-p nx-mt-1\">Sensors and models misread rare situations: unusual objects, poor weather, glare or confusing road layouts. Rare cases dominate risk because they are hard to test.<\/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=\"M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z\"\/><path d=\"M15 5.76v15\"\/><path d=\"M9 3.24v15\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Operating domains set limits<\/h3><p class=\"nx-p nx-mt-1\">Systems are designed for an operational design domain of roads, weather, speeds or spaces. Failures increase when systems are used outside it.<\/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\">Handover to humans is hard<\/h3><p class=\"nx-p nx-mt-1\">Supervisors lose attention when automation works most of the time, and cannot take over instantly when it fails.<\/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=\"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z\"\/><path d=\"m9 12 2 2 4-4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Safety cases must be argued<\/h3><p class=\"nx-p nx-mt-1\">Showing that a system is acceptably safe needs a structured argument combining design, testing, simulation and field data, because driving or operating enough to see rare failures is impractical.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" 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\">Operational design domain<\/td><td data-label=\"Definition\">The conditions under which an automated system is designed to function.<\/td><\/tr><tr><td data-label=\"Term\">Disengagement<\/td><td data-label=\"Definition\">A transfer of control from an automated system to a human, reported in some jurisdictions.<\/td><\/tr><tr><td data-label=\"Term\">Collaborative robot<\/td><td data-label=\"Definition\">A robot designed to work in shared space with people under safety limits.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" 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\">Crashes involving automated driving systems<\/td><td data-label=\"Unit\">count by severity<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Mandatory crash reporting<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Disengagements or interventions<\/td><td data-label=\"Unit\">count per distance or hour<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Operator reports to regulators<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Distance driven autonomously<\/td><td data-label=\"Unit\">kilometres<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Operator reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Industrial robot injuries<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Occupational injury statistics<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Operating domain exceedances<\/td><td data-label=\"Unit\">count of events outside design domain<\/td><td data-label=\"Cadence\">per deployment<\/td><td data-label=\"Source type\">Operator logs<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Drone incidents near aircraft<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Aviation safety reporting<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/autonomous-physical-systems\/#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 Autonomous physical systems 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-g-p08-topics-autonomous-physical-systems--t nx-dag-g-p08-topics-autonomous-physical-systems--d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p08-topics-autonomous-physical-systems--t\">Autonomous physical systems: AI risk management, govern to manage<\/title><desc id=\"nx-dag-g-p08-topics-autonomous-physical-systems--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\" data-variant=\"split\" 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\">NHTSA Standing General Order crash reports<\/td><td data-label=\"What it gives\">Crashes involving automated driving and driver assistance systems in the US<\/td><td data-label=\"Licence class\">Public domain, US government<\/td><\/tr><tr><td data-label=\"Source\">California DMV autonomous vehicle reports<\/td><td data-label=\"What it gives\">Collision and disengagement reports from permit holders<\/td><td data-label=\"Licence class\">Public records<\/td><\/tr><tr><td data-label=\"Source\">UNECE regulations on automated driving, including UN Regulation No. 157<\/td><td data-label=\"What it gives\">Type approval requirements for automated lane keeping and related systems<\/td><td data-label=\"Licence class\">Public, UNECE terms<\/td><\/tr><tr><td data-label=\"Source\">ISO 10218 and ISO\/TS 15066<\/td><td data-label=\"What it gives\">Safety requirements for industrial and collaborative robots<\/td><td data-label=\"Licence class\">Licensed standards, purchase required<\/td><\/tr><tr><td data-label=\"Source\">National occupational injury statistics<\/td><td data-label=\"What it gives\">Injuries involving machinery and robots<\/td><td data-label=\"Licence class\">Public records, licence per government<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/autonomous-physical-systems\/#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=\"split\" 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\">Artificial Intelligence and Autonomous Systems 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\">Transport and aviation regulators<\/td><td data-label=\"The question\">Whether and where to permit autonomous operation<\/td><td data-label=\"Evidence this page serves\">Crash data with exposure; safety case reviews<\/td><\/tr><tr><td data-label=\"Who decides\">Workplace safety regulators<\/td><td data-label=\"The question\">What safety requirements to set for robots<\/td><td data-label=\"Evidence this page serves\">Injury statistics; standards<\/td><\/tr><tr><td data-label=\"Who decides\">Operators and manufacturers<\/td><td data-label=\"The question\">How to define and enforce operating domains<\/td><td data-label=\"Evidence this page serves\">Domain documentation; exceedance logs<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Safety case review frameworks<\/li><li>Analyses of crash and intervention reports with exposure stated<\/li><li>Operational design domain documentation templates<\/li><li>Evidence notes for regulators<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" 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 safety engineers ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Does the system perceive its environment correctly across weather, lighting and unusual objects?<\/li><li>How does it behave at the edges of its operating conditions, and does it know when it is outside them?<\/li><li>Can it fail safely, handing over to a person or stopping without creating new hazards?<\/li><li>How is safety demonstrated when learned components cannot be fully specified?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" 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\">Where physical autonomy fails.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Perception is the weak link: cameras, lidar and radar each fail differently in rain, glare, dust or darkness, and learned perception models can misclassify rare objects. Planning must handle uncertain predictions of other agents' behaviour. Control must remain stable as conditions change.<\/p><p class=\"nx-p nx-mt-2\">Handover to humans is difficult because people monitoring automation lose situational awareness and may not respond in time. Classical safety engineering assumes components whose behaviour can be fully specified, which learned components are not.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" 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 data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Assurance for systems that move.<\/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\">Operational design domain<\/h3><p class=\"nx-p nx-mt-1\">Defining the conditions a system is designed for and detecting when it leaves them.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Simulation and scenario testing<\/h3><p class=\"nx-p nx-mt-1\">Testing across large numbers of simulated scenarios, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/robotics\/\">robotics and automation<\/a> and high-performance, cloud and edge computing. Simulation fidelity limits what it can reveal.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Safety cases<\/h3><p class=\"nx-p nx-mt-1\">Structured arguments, supported by evidence, that a system is acceptably safe for a use, drawing on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-assurance\/\">AI evaluation and assurance engineering<\/a>. A safety case is only as strong as its weakest evidence.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Field monitoring<\/h3><p class=\"nx-p nx-mt-1\">Collecting incidents and near misses after deployment. Under-reporting is common.<\/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:\/\/therisk.global\/ai-autonomous-systems\/stem\/robotics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Robotics and automation<\/span><span class=\"nx-mledger-role\">Scenario-based testing \u00b7 Collaborative robot safety \u00b7 Operating domain 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\/technology\/robotics\/\" aria-label=\"Robotics and automation: 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:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-assurance\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">AI evaluation and assurance engineering<\/span><span class=\"nx-mledger-role\">Assurance cases for AI systems \u00b7 Structured red teaming \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:\/\/therisk.global\/ai-autonomous-systems\/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\">Uncertainty on benchmark scores \u00b7 Calibration assessment \u00b7 Audit sampling<\/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\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: 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:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Distribution shift analysis \u00b7 Fine-tuning for a specific use \u00b7 Interpretability methods<\/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><\/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\">Crash and disengagement data are reported under different rules and rarely include comparable exposure, so rates are hard to compare with human performance. Simulation results depend on scenario coverage. Rare events are by definition poorly observed. This platform does not approve any vehicle or robot; regulators decide.<\/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 operational design domain?<\/summary><div class=\"nx-answer\">The conditions under which an automated system is designed to operate, such as road types, speeds, weather and time of day.<\/div><\/details><details><summary>Are self-driving cars safer than human drivers?<\/summary><div class=\"nx-answer\">Evidence is still accumulating. Fair comparison needs crash data with matched exposure, road types and conditions, which public reports often lack.<\/div><\/details><details><summary>What is a safety case?<\/summary><div class=\"nx-answer\">A structured argument, supported by evidence, that a system is acceptably safe for a specific use in a specific environment.<\/div><\/details><details><summary>Are autonomous vehicles safer than human drivers?<\/summary><div class=\"nx-answer\">It depends on the system, the conditions and how safety is measured. Comparisons need like-for-like conditions and enough exposure to observe rare events, which is why claims should be read with their data.<\/div><\/details><details><summary>Can learned components be safety-assured?<\/summary><div class=\"nx-answer\">Partly, through testing, monitoring and architectures that constrain them with simpler verified components. Assurance of learned components remains an active research area.<\/div><\/details><details><summary>Does the platform test products?<\/summary><div class=\"nx-answer\">No. It develops and publishes methods. Product testing and approval are the roles of manufacturers, testing bodies and regulators.<\/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 Artificial Intelligence and Autonomous Systems.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/model-evaluation\/\">Model evaluation <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:\/\/therisk.global\/ai-autonomous-systems\/topics\/agentic-systems\/\">Agentic systems <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:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-cyber-security\/\">AI cyber security <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:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-in-science\/\">AI in science <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:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-and-public-services\/\">AI and public services <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:\/\/therisk.global\/ai-autonomous-systems\/topics\/compute-and-energy\/\">Compute and energy <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:\/\/therisk.global\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems 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:\/\/therisk.global\/ai-autonomous-systems\/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:\/\/therisk.global\/\">The Global Centre for Risk and Innovation 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:\/\/therisk.global\/trust\/\">GCRI 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\">Artificial Intelligence and Autonomous Systems<\/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@therisk.global?subject=Artificial%20Intelligence%20and%20Autonomous%20Systems%3A%20Autonomous%20physical%20systems\">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:\/\/therisk.global\/ai-autonomous-systems\/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:\/\/therisk.global\/ai-autonomous-systems\/topics\/autonomous-physical-systems\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/autonomous-physical-systems\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is an operational design domain?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The conditions under which an automated system is designed to operate, such as road types, speeds, weather and time of day.\"}},{\"@type\":\"Question\",\"name\":\"Are self-driving cars safer than human drivers?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Evidence is still accumulating. 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