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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-n2kpq47x.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n2kpq47x.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n2kpq47x.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n2kpq47x.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n2kpq47x.nxe :where(ul,ol){padding-left:20px}#nxe-n2kpq47x.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n2kpq47x.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n2kpq47x.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n2kpq47x.nxe svg{display:none}#nxe-n2kpq47x.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n2kpq47x.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2kpq47x.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><\/defs><\/svg><section class=\"nx-hero nx-fh\" data-layout=\"faculty\" data-ground=\"none\" data-ah=\"discipline\" aria-labelledby=\"nx-ast-title\"><div class=\"nx-container\"><div class=\"nx-fh-grid\"><div class=\"nx-hero-text nx-ah-text\"><p class=\"nx-ah-kicker\"><span>Risk Academy, a Nexortium programme<\/span><span>Technology and Digital Systems<\/span><span>Department of Artificial Intelligence and Autonomous Systems<\/span><\/p><p class=\"nx-ah-accent\"><svg class=\"nx-ah-motif\" data-motif=\"circuit\" viewBox=\"0 0 44 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M1 12h8l4-8h10l4 8h8\"\/><path data-k=\"b\" d=\"M23 4v-3M35 12v3\"\/><circle cx=\"35\" cy=\"12\" r=\"2\"\/><circle cx=\"13\" cy=\"4\" r=\"2\"\/><\/svg><span>Evaluation design, red-teaming, benchmarks and safety cases<\/span><\/p><h1 id=\"nx-ast-title\" class=\"nx-hero-title nx-ah-title\">AI safety and evaluation<\/h1><p class=\"nx-tagline nx-ah-lede\">AI safety and evaluation covers how the capabilities, reliability and risks of AI systems are tested before and after deployment.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"#nx-sec-maps\">Open the twin builder <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"#nx-sec-courses\">See the courses<\/a><\/div><p class=\"nx-fh-links\"><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/technology-digital\/departments\/ai-autonomous-systems\/\">Back to Department of Artificial Intelligence and Autonomous Systems<\/a><\/p><\/div><div class=\"nx-fh-con\"><p class=\"nx-fh-con-h\"><span class=\"nx-tw-path\"><span>risksacademy.com<\/span><span>technology-digital<\/span><strong>discipline<\/strong><\/span><\/p><div class=\"nx-fh-con-b\"><figure class=\"nx-ra-sig\" data-motif=\"circuit\" data-scope=\"discipline\"><svg class=\"nx-ra-sig-svg\" viewBox=\"0 0 480 300\" role=\"img\" aria-label=\"AI safety and evaluation, drawn as a circuit: 0 primary courses open, 0 in preparation, 2 approved for authoring and 0 also taught here, across 8 subtopics. Courses: RAS-428 L3 approved for authoring, RAT-239 L3 approved for authoring.\" focusable=\"false\"><title>AI safety and evaluation, drawn as a circuit: 0 primary courses open, 0 in preparation, 2 approved for authoring and 0 also taught here, across 8 subtopics. Courses: RAS-428 L3 approved for authoring, RAT-239 L3 approved for authoring.<\/title><rect class=\"nx-ra-fn\" x=\"180\" y=\"34\" width=\"200\" height=\"56\"\/><text class=\"nx-ra-tl\" x=\"280\" y=\"66\" text-anchor=\"middle\">AI safety and evaluation<\/text><path class=\"nx-ra-st\" d=\"M201.3 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"201.3\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M223.8 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"223.8\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M246.3 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"246.3\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M268.8 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"268.8\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M291.3 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"291.3\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M313.8 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"313.8\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M336.3 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"336.3\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-st\" d=\"M358.8 34v-12\"\/><circle class=\"nx-ra-fi\" cx=\"358.8\" cy=\"20\" r=\"1.8\"\/><path class=\"nx-ra-sa\" d=\"M236 90V106L130 230V244\"\/><rect class=\"nx-ra-fa\" x=\"115\" y=\"244\" width=\"30\" height=\"12\"\/><text class=\"nx-ra-tx\" x=\"130\" y=\"272\" text-anchor=\"middle\">RAS-428<\/text><path class=\"nx-ra-sa\" d=\"M324 90V114L350 230V244\"\/><rect class=\"nx-ra-fa\" x=\"335\" y=\"244\" width=\"30\" height=\"12\"\/><text class=\"nx-ra-tx\" x=\"350\" y=\"286\" text-anchor=\"middle\">RAT-239<\/text><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">AI safety and evaluation at a glance.<\/span> Drawn as a circuit.<\/span><ul class=\"nx-ra-key\"><li data-k=\"live\">Open, 0<\/li><li data-k=\"prep\">In preparation, 0<\/li><li data-k=\"appr\">Approved for authoring, 2<\/li><li data-k=\"topic\">Subtopics, 8<\/li><\/ul><span class=\"nx-ra-sig-src\">Course codes from the curriculum; study levels L1 to L4.<\/span><\/figcaption><\/figure><\/div><a class=\"nx-fh-go\" href=\"#nx-sec-maps\"><span class=\"nx-fh-go-k\">Twin builder and simulator<\/span><span class=\"nx-fh-go-t\">West Cornwall: Goonhilly and the Porthcurno cable landings<\/span><span class=\"nx-fh-go-m\">4 twin generators, 8 layers, 3 instruments<\/span><\/a><\/div><\/div><dl class=\"nx-ah-figs\" data-n=\"4\"><div><dt>courses open now<\/dt><dd>0<\/dd><\/div><div><dt>in preparation<\/dt><dd>0<\/dd><\/div><div><dt>approved for authoring<\/dt><dd>2<\/dd><\/div><div><dt>satellite dishes<\/dt><dd>4<\/dd><\/div><\/dl><p class=\"nx-ah-fignote\">Twin figures for West Cornwall: Goonhilly and the Porthcurno cable landings, counted from its layers at their stated dates.<\/p><\/div><\/section><section id=\"nx-sec-maps\" class=\"nx-as\" data-as=\"maps\" aria-labelledby=\"nx-sec-maps-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-maps-h\" class=\"nx-as-title\">Twin builder and simulator.<\/h2><p class=\"nx-as-lede\">For AI safety and evaluation: the faculty's twin of the Lizard and Penwith on the planet map, the globe and in 3D. Pick a generator, switch layers, run the instruments; every layer prints its provider and date.<\/p><\/div><div class=\"nx-as-body\"><div class=\"nx-ra-map nx-tw\" data-ra-map=\"technology-digital\" data-ra-map-od=\"J\/suhpDmyEM6vt\/FeKzBtfv97U9AlgeKOZNVS1zHFVo=\" data-ra-map-state=\"idle\" data-ra-map-mode=\"learn\" data-ra-view=\"map\" data-tw-pip=\"twin\"><div class=\"nx-tw-head nx-ra-map-bar\" role=\"toolbar\" aria-label=\"Twin builder controls\"><p class=\"nx-tw-path\"><span>technology-digital<\/span><span>lizard-and-penwith<\/span><strong>twin builder<\/strong><\/p><div class=\"nx-ra-tb-search\" data-tw-search=\"true\"><\/div><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"View\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-map\" aria-pressed=\"true\">Planet map<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-globe\" aria-pressed=\"false\">Globe<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-twin\" aria-pressed=\"false\">3D twin<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Extent\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"anchor\" aria-pressed=\"true\" disabled>Lizard and Penwith<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"world\" aria-pressed=\"false\" disabled>World<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Mode\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"learn\" aria-pressed=\"true\" disabled>Learn<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"expert\" aria-pressed=\"false\" disabled>Expert<\/button><\/span><span class=\"nx-tw-more\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"share\" disabled>Share and cite<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"tools\" disabled>Expert tools<\/button><\/span><\/div><div class=\"nx-tw-gens nx-ra-tb-gens\" role=\"group\" aria-label=\"Twin generators\"><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"net\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Network<\/span><span class=\"nx-ra-tb-gt\">Cable and ground network<\/span><span class=\"nx-ra-tb-gp\">Submarine cables, communication lines and the ground segment of the twin.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"dens\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Exposure<\/span><span class=\"nx-ra-tb-gt\">Ground segment density<\/span><span class=\"nx-ra-tb-gp\">Density of dishes, exchanges, data centres and masts.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"lights\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Activity<\/span><span class=\"nx-ra-tb-gt\">Connected activity<\/span><span class=\"nx-ra-tb-gp\">VIIRS night lights and built-up land.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"bld\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">3D<\/span><span class=\"nx-ra-tb-gt\">3D towns from the basemap<\/span><span class=\"nx-ra-tb-gp\">Buildings of the basemap extruded by height around the landings.<\/span><\/button><\/div><div class=\"nx-tw-body\"><div class=\"nx-ra-map-views\"><div class=\"nx-ra-map-stage\"><div class=\"nx-ra-map-idle\"><button type=\"button\" class=\"nx-btn\" data-variant=\"secondary\" data-ra-map-act=\"load\">Load the map<\/button><\/div><\/div><div class=\"nx-ra-map-twin\"><div class=\"nx-ah\" data-ah=\"twin\"><div class=\"nx-ast\" data-ast=\"twin\" data-ast-state=\"flat\" data-ast-faculty=\"technology-digital\" data-ast-mode=\"metres\" data-ast-od=\"wVHV4l5LhpFLnAsI7crvjND+M33OgUj\/uQRM0Qy8XKw=\" data-ast-data=\"Yh\/278JYCuEoai6a4vZC5QqYVqs+JpFFWD2jgTdj\/xg=\" data-ast-exag=\"1.5\"><div class=\"nx-ast-stage\" tabindex=\"0\" role=\"region\" aria-label=\"Digital twin of West Cornwall: Goonhilly and the Porthcurno cable landings\" aria-describedby=\"nx-ast-twin-help\"><figure class=\"nx-ra-sig nx-ast-flat\" data-scope=\"twin\" id=\"nx-ast-fig\"><svg class=\"nx-ra-sig-svg nx-ast-svg\" viewBox=\"0 0 1200 1164\" role=\"img\" aria-label=\"West Cornwall: Goonhilly and the Porthcurno cable landings: a flat plan of the faculty twin. Terrain 0 to 245 m; 4 satellite dishes; 74 communication masts and towers; 12 telephone exchanges; 7 data centres and cable landing stations; 12 aerodromes; 1 telecom offices; Communication line 161 km; 729 known exploited vulnerabilities since 2023-10-17; Night-time lights, VIIRS day-night band: live, loads in the twin. Contours every 25 metres from the elevation grid; communication cables by class; ground infrastructure as marks.\" focusable=\"false\" 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\"><title>West Cornwall: Goonhilly and the Porthcurno cable landings: a flat plan of the faculty twin. Terrain 0 to 245 m; 4 satellite dishes; 74 communication masts and towers; 12 telephone exchanges; 7 data centres and cable landing stations; 12 aerodromes; 1 telecom offices; Communication line 161 km; 729 known exploited vulnerabilities since 2023-10-17; Night-time lights, VIIRS day-night band: live, loads in the twin. Contours every 25 metres from the elevation grid; communication cables by class; ground infrastructure as marks.<\/title><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">West Cornwall: Goonhilly and the Porthcurno cable landings, United Kingdom.<\/span> Flat plan of the same data: relief as contours from the inline grid, the mapped ground infrastructure by kind, the mapped cables and the numbers below. The 3D twin opens on devices with WebGL once its data and library have been checked.<\/span><ul class=\"nx-ra-key nx-ast-key\"><li data-k=\"terrain\">Terrain 0 to 245 m<\/li><li data-k=\"dish\">4 satellite dishes<\/li><li data-k=\"mast\">74 communication masts and towers<\/li><li data-k=\"exchange\">12 telephone exchanges<\/li><li data-k=\"data-centre\">7 data centres and cable landing stations<\/li><li data-k=\"aerodrome\">12 aerodromes<\/li><li data-k=\"office\">1 telecom offices<\/li><li data-k=\"communication-line\">Communication line 161 km<\/li><li data-k=\"table\">729 known exploited vulnerabilities since 2023-10-17<\/li><li data-k=\"live-night-lights\">Night-time lights, VIIRS day-night band: live, loads in the twin<\/li><\/ul><span class=\"nx-ra-sig-src\">Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated \u00d71.5 for legibility.<\/span><\/figcaption><\/figure><p class=\"nx-ast-help\" id=\"nx-ast-twin-help\">Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and - zoom, 0 resets, V steps through the views, Escape clears.<\/p><\/div><div class=\"nx-ast-bar nx-ah-hud\" role=\"toolbar\" aria-label=\"Twin controls\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"open\" data-variant=\"primary\">Open the 3D twin<\/button><span class=\"nx-ah-status\" data-live=\"true\"><span class=\"nx-ah-dot\" aria-hidden=\"true\"><\/span>1 live layer, checked 17 Oct 2026<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"reset\" disabled>Reset view<\/button><span class=\"nx-ast-group\" aria-label=\"View\" data-ast-views=\"true\" data-ast-default=\"a-instrument\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"a-instrument\" aria-pressed=\"true\" disabled>Drawing<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"b-daylight\" aria-pressed=\"false\" disabled>Photo<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"c-holograph\" aria-pressed=\"false\" disabled>Holograph<\/button><\/span><details class=\"nx-ah-menu\" data-k=\"places\"><summary><span>Places<\/span><span class=\"nx-ah-n\">4<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Views\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"goonhilly\" disabled>Goonhilly Earth Station<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"porthcurno\" disabled>Porthcurno and Sennen landings<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"penzance\" disabled>Penzance and the masts of Penwith<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"whole\" disabled>The whole box<\/button><\/span><\/div><\/details><details class=\"nx-ah-menu\" data-k=\"layers\"><summary><span>Layers<\/span><span class=\"nx-ah-n\">5<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Layers\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"overlay\" aria-pressed=\"false\" hidden disabled>Analysis overlay<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"terrain\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"terrain\" aria-hidden=\"true\"><\/span><span>Terrain<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"ground-infrastructure\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"points\" aria-hidden=\"true\"><\/span><span>Ground infrastructure<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"cables\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"lines\" aria-hidden=\"true\"><\/span><span>Communication cables<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"kev\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"points\" aria-hidden=\"true\"><\/span><span>Known exploited vulnerabilities<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"night-lights\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Night-time lights<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><\/span><\/div><\/details><span class=\"nx-ast-group nx-ah-time\" aria-label=\"Time\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"earlier\" aria-label=\"Earlier date\" disabled><span aria-hidden=\"true\">&lsaquo;<\/span><span class=\"nx-ah-it\">Earlier<\/span><\/button><span class=\"nx-ast-date\" data-ast-out=\"date\" aria-live=\"polite\">Date: newest<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"later\" aria-label=\"Later date\" disabled><span class=\"nx-ah-it\">Later<\/span><span aria-hidden=\"true\">&rsaquo;<\/span><\/button><\/span><button type=\"button\" class=\"nx-ast-btn nx-ah-tomap\" data-ast-act=\"to-map\" aria-controls=\"nx-sec-maps\"><span class=\"nx-ah-pin\" aria-hidden=\"true\"><\/span>Open in the map<\/button><details class=\"nx-ast-cred nx-ah-info\"><summary aria-label=\"Credits and data dates, West Cornwall: Goonhilly and the Porthcurno cable landings\"><span class=\"nx-ah-i\" aria-hidden=\"true\">i<\/span><span class=\"nx-ah-it\">Credits<\/span><\/summary><div class=\"nx-ah-pop\"><ul class=\"nx-ast-credits\"><li data-ast-layer=\"terrain\"><strong>Terrain<\/strong> Surface height in whole metres on a grid of about 240 by 370 metres, read from one overview of the 30 m product at build time; 0 at sea. <span class=\"nx-ast-cr\">Copernicus DEM GLO-30 (c) DLR e.V. 2010-2014 and (c) Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA. read 2026-10-17.<\/span> <span class=\"nx-ast-est\">Estimate: A digital surface model: trees and roofs are in the heights. Relief exaggeration is printed on the stage.<\/span><\/li><li data-ast-layer=\"ground-infrastructure\"><strong>Ground infrastructure<\/strong> Satellite dishes, communication masts and towers, telephone exchanges, data centres and cable landing stations, telecom offices and aerodromes, each as one point with its tags as mapped. <span class=\"nx-ast-cr\">(c) OpenStreetMap contributors. Available under the Open Database License (ODbL). OpenStreetMap as of 2026-06-01.<\/span> <span class=\"nx-ast-est\">Estimate: Points as mapped by contributors: a missing feature means it is not mapped, not that it does not exist; operator and height tags are kept as tagged.<\/span><\/li><li data-ast-layer=\"cables\"><strong>Communication cables<\/strong> Submarine and terrestrial communication cables mapped by OpenStreetMap contributors inside the box, clipped to it, with their length in kilometres. <span class=\"nx-ast-cr\">(c) OpenStreetMap contributors (ODbL). OpenStreetMap as of 2026-07-15.<\/span> <span class=\"nx-ast-est\">Estimate: OpenStreetMap-mapped cables at the extract date; never a complete or authoritative cable inventory.<\/span><\/li><li data-ast-layer=\"kev\"><strong>Known exploited vulnerabilities<\/strong> Catalogue entries added in the last three years with six fields: CVE id, vendor or project, product, date added, due date and the known ransomware campaign use flag. <span class=\"nx-ast-cr\">Source: CISA Known Exploited Vulnerabilities Catalog (CC0 1.0), snapshot 2026-10-17, catalogue version 2026.10.16. read 2026-10-17.<\/span> <span class=\"nx-ast-est\">Estimate: A dated snapshot, never a live or complete vulnerability feed; vendor and product names are the vendors' own marks shown as data; no CISA logo or DHS seal.<\/span><\/li><li data-ast-layer=\"night-lights\"><strong>Night-time lights, VIIRS day-night band<\/strong> Night-time radiance for the date shown, draped on the terrain, as a proxy for where settlements and sites draw power. <span class=\"nx-ast-cr\">VIIRS SNPP day-night band at-sensor radiance, NASA, via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is read from layer-time-actual and printed with it.<\/span> <span class=\"nx-ast-est\">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).<\/span> <span class=\"nx-ast-est\">Estimate: Satellite radiance with moonlight and cloud not corrected in this product; lights are a proxy, never a measurement of electricity supply, access or outages.<\/span><\/li><\/ul><p class=\"nx-ast-why\">Why this place: One box of about 57 by 55 kilometres holds Goonhilly Earth Station (the ground segment of satellite communications since 1962 and a deep-space ground station today), the Porthcurno valley where transatlantic telegraph and later fibre cables came ashore, the Culdrose air station and the telecom masts of a rural peninsula, so the ground segment, cable landings and the resilience of positioning, navigation, timing and communication can be taught in one place. Data quality: OpenStreetMap coverage of the United Kingdom is complete for masts, dishes and named sites, Copernicus DEM GLO-30 covers the terrain in four tiles, and VIIRS night lights show where the digital economy draws power. It connects to the space-systems, cybersecurity, digital-public-infrastructure and data-compute disciplines of the atlas.<\/p><\/div><\/details><\/div><div class=\"nx-ast-read\" data-ast-out=\"read\" aria-live=\"polite\" hidden><\/div><p class=\"nx-ast-note\" aria-live=\"polite\">Flat plan of the same data: relief as contours from the inline grid, the mapped ground infrastructure by kind, the mapped cables and the numbers below. The 3D twin opens on devices with WebGL once its data and library have been checked.<\/p><\/div><\/div><\/div><button type=\"button\" class=\"nx-tw-swap\" data-ra-map-act=\"swap\" aria-label=\"Swap the main view and the inset\"><span class=\"nx-tw-swap-k\" data-tw-swap=\"true\">3D twin<\/span><span class=\"nx-tw-swap-v\">Swap<\/span><\/button><div class=\"nx-ra-tb-insp nx-tw-insp\" aria-live=\"polite\"><\/div><\/div><aside class=\"nx-tw-dock\" data-nx-tabs=\"dock\" aria-label=\"Simulator: instruments, layers and sources\"><div class=\"nx-tw-tabs\" role=\"tablist\" aria-label=\"Simulator panels\"><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-inst\" aria-controls=\"nx-tw-p-inst\" aria-selected=\"true\" tabindex=\"0\" data-key=\"inst\">Instruments<span>3<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-layers\" aria-controls=\"nx-tw-p-layers\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"layers\">Layers<span>8<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-src\" aria-controls=\"nx-tw-p-src\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"src\">Sources<\/button><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-inst\" aria-labelledby=\"nx-tw-t-inst\"><p class=\"nx-tw-empty\">The instruments run on the faculty home, on the same twin of West Cornwall: Goonhilly and the Porthcurno cable landings:<\/p><ul class=\"nx-ai\"><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/technology-digital\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Orbit propagator<\/span><span class=\"nx-ai-w\">SGP4 in your browser on element sets you paste: sub-satellite point, altitude and speed now, the look angles from the Goonhilly dishes and the next pass above 10 degrees, with the ground tracks drawn over one orbit.<\/span><\/a><\/li><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/technology-digital\/#nx-sec-instruments\"><span class=\"nx-ai-t\">AI evaluation ledger<\/span><span class=\"nx-ai-w\">A ledger of evaluation records (system, task, metric, score, date, evaluator, evidence link) with the metric definitions beside it and summary statistics per metric; records you add are kept for this page view.<\/span><\/a><\/li><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/technology-digital\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Incident timeline<\/span><span class=\"nx-ai-w\">The catalogue entries of the KEV snapshot by month, by vendor and by the known ransomware campaign use flag, with the median days from addition to the due date; filter by vendor or by the flag.<\/span><\/a><\/li><\/ul><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-layers\" aria-labelledby=\"nx-tw-t-layers\" hidden><div class=\"nx-tw-layers\" data-tw-layers=\"true\"><p class=\"nx-tw-empty\">8 layers switch here once the map runs.<\/p><\/div><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-src\" aria-labelledby=\"nx-tw-t-src\" hidden><p class=\"nx-tw-empty\">6 live and observed layers and 2 from the twin. Data: Natural Earth, VIIRS, CIESIN\/Columbia, CIESIN, GDACS, NOAA GOES-East ABI GeoColor, Open-Meteo.com, \u00a9 OpenStreetMap contributors. Available under the Open Datab, \u00a9 OpenStreetMap contributors. Each layer's provider, licence and date are listed here once the map runs.<\/p><div class=\"nx-tw-cred\" data-tw-cred=\"true\"><\/div><\/div><\/aside><\/div><p class=\"nx-ra-map-note\" role=\"status\">The map loads from this site as it nears the view (MapLibre 6.9.1, checked by hash).<\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-brief-answer\" class=\"nx-as\" data-as=\"intro\" aria-labelledby=\"nx-sec-brief-answer-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-brief-answer-h\" class=\"nx-as-title\">The discipline in brief.<\/h2><\/div><div class=\"nx-as-body\"><div class=\"nx-as-intro\"><p class=\"nx-as-stand\">The discipline teaches evaluation design with stated tasks, metrics and evidence, red-teaming and adversarial testing, benchmark contamination and evaluation awareness, dangerous capability evaluations, monitoring after deployment and incident reporting, and the safety case as the argument that ties them together, following the holistic evaluation taxonomy of Liang et al. (2022) for metrics and the NIST AI Risk Management Framework 1.0 for the measure function, with the International AI Safety Report of February 2026 as the current evidence review. The evaluation ledger on the faculty home is the discipline's working instrument: records with evidence links, summary statistics per metric, unsupported entries marked. A graduate can design an evaluation that a benchmark alone cannot answer, run a red-team exercise with a stated scope, and write a safety case that names the hazards it does not cover.<\/p><div class=\"nx-as-side\"><p class=\"nx-as-brief\">This area covers how the capabilities, reliability and risks of AI systems are tested before and after deployment: evaluation design, red-teaming, benchmarks and their limits, safety cases for frontier models and agentic systems, and incident reporting. It is taught in the department of Artificial Intelligence and Autonomous Systems, Faculty of Technology and Digital Systems, through courses still to be authored.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-scope\" class=\"nx-as\" data-as=\"wide\" aria-labelledby=\"nx-sec-scope-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-scope-h\" class=\"nx-as-title\">What the discipline covers.<\/h2><p class=\"nx-as-lede\">8 subtopics, taught across its courses and labs.<\/p><\/div><div class=\"nx-as-body\"><dl class=\"nx-as-std\" data-cols=\"2\"><div><dt>Faculty<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/technology-digital\/\">Faculty of Technology and Digital Systems<\/a><\/dd><\/div><div><dt>Department<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/technology-digital\/departments\/ai-autonomous-systems\/\">Department of Artificial Intelligence and Autonomous Systems<\/a><\/dd><\/div><div><dt>Courses<\/dt><dd>0 open, 0 in preparation<\/dd><\/div><div><dt>Levels<\/dt><dd>None yet<\/dd><\/div><div><dt>Labs<\/dt><dd>Named when the courses are authored<\/dd><\/div><\/dl><ul class=\"nx-list\"><li>Evaluation design and metrics<\/li><li>Red-teaming and adversarial testing<\/li><li>Benchmarks and data contamination<\/li><li>Dangerous capability evaluations<\/li><li>Safety cases for frontier models<\/li><li>Agentic system evaluation<\/li><li>Monitoring after deployment<\/li><li>Incident reporting and disclosure<\/li><\/ul><p class=\"nx-note nx-mt-3\">Not yet taught by a course: AI system evaluation methods; Frontier AI risk and safety cases.<\/p><\/div><\/div><\/section><section id=\"nx-sec-frontier\" class=\"nx-as\" data-as=\"timeline\" aria-labelledby=\"nx-sec-frontier-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-frontier-h\" class=\"nx-as-title\">What is changing now.<\/h2><p class=\"nx-as-lede\">Recent developments in aI safety and evaluation, each with its source; sources checked on 16 October 2026. Summaries are short readings of the source; follow the link for the full account.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"vZdtb9y4Ece\/ykBvcgVWXq8fikuwEWA4vWKRJg2y9rVvZ8mRyCxFChxq93SfvhhK+1Anl7ox2nf2ShpyOP\/f\/IfL4EA5ZH5b+N\/KiGUdi2rpbLXUdvf0SamLaplsS6Axkfzxtri6vPpzeXlbXi6KagEfcAD5ZTmXp9WSO\/RfRdkW1WfqQkzLuTyvlnNtd99ecFNUS3N99rO5KaqV19SR1+QT0A5dj8kGD7X1mqHBDvY2GdC0Ixc6isDk6jLmFUkDqxCJl3NzXS27rxbkovq4Wj+8YrgnnyhCHSLcrWCd0GuMmgG9hpX3YTetGnqv4R1Rtybawq838CmGcRENG0oSI3hIhk47esUQ9v5s7wzJoJf37u9W69UrnoH1yvXa+gZ88GXXb5xVsCGvTItxyzMgTrbFJG\/YBCmidQyOMH\/zuIY2aHIMmwFwE\/oEZBuToA0+Gb5YzrtvZb8vqiWnGHxT\/cMMErdFyUA+mH6HtQl7hr08PquDnIohp0tZ6rTN6XvYG\/IQyQ2yueBhR16HeCrKWRkjce\/SH26RoyqqdeijojfwMX+CDlaek019Igj1k1o9kDI+uNAMM1jiWTxn\/bYAE6l+W5iUOn4zn+\/3+wtvOV00YTf3tOeSduQT57\/nouz55e1coWVbnvZcaqKOibbl7qbsYiiqXEb4yymrUD\/VyHKO1QxOyIwJjyjMBcD\/DsLbcnFVLn4uqsXP8I4UtRuKEvf2f4ri4\/sMB6k+2jSclSELlg0x1DZygl9i8MlSZukhkpB6WPgPQXwXcT\/p5RyVUEPYUYTrS6gPUSexs\/WKJOvrWSbOHvczKo2hRk6gsMONdbLjJoZ9MmA9qGFDcQbKUGs5xSGLZ2OzciAhC3O9tzuKjA6+oHWbSLjlqQNY2STFAXjgRC0k4kR6lqNEy5LHoQ85q0ZRdFEOjkN8EZB\/r2uKDI0cim8FRln7wJGcnkbfUAw9nzK3NNLBWFPTY9TAKZJvkpFWdOyrIco3HnomSOEEtpyujbmLtZRM0M\/j9dta+enx\/Z+eyaaAJ2xe9Nv5ofgl2jJlSU39pKi+o7YM3RNEXo7eory6LaqrW\/gYdv8n9N7TAH0nG4FIO0t7hiStzip0p7KOVT5yEi1voUWPDYlSvgPfgyFgUsFr2J5WGj22i6HtElj\/hVQWMqaEasvAyToH3CtFpCffMejqDGM+uGzNifIn1HaJZ8AtOicnimUXLAcvrBwiivg2BFTXstSORqAwidNxgsUVqNB26EXPPuwPfeeUsZxEGqCO2NI+iCXlLbSBkxvAtkKj+KeJxCY4\/SIU7x1GW8teTNhD2ysDyNxHlLak+hiFzrPadDHsrKYZ7I1VBthgRwyRdJkI29wzVOhobCLEVvfoxhp+6fVYwueBt5JZxh\/cUjAcj2VU4DPgs+cB0I6nOuJ2EWIzHweU\/Hw+yqbc0lCOsimPwixPyZfodSm5lCc9FtV6lJyI+zF\/+2Y08Kzq9b+r+rMcxIczMQvbTxl8MduX1wdb\/YBRmWeB\/SH3xB8E+8G2VJoQ7e8hd9doFbSE3EfiM7\/CPgUfWunq4k7gcvf+DtGfiUkyELPoYugCk54Ci9LuVue+uBkys2NQsVwOddpjpNEKD4Yr8DnKLchZ3Lhh5HO0xGSsgDAmYpBBh37jSEMMfWPccDBMGbGmwfTo4IvXL+Hwr3ZHfO5hCNkhDueYp3psyCerzrPO1ictx\/o6xFZeI4WcRr2deoSc\/9RYFDI9j0GM\/7S7Z6CG8Te7y1DhhudXt5fXF4ubm9evRVZnxbo77DnA\/aEKfwu+gfWhUg9SqaPjndT7ciSuysVNUS1u4BfaxB7j8CwqPgVn1fDjk2Ykjy3xWfs6zRDI3x4u\/oPDPb4\/n5vGBfST0XFsvnVQvQBjk0xUTNEKeXer3I4nU+HD8qOtjPPqTPxQfGAcLaWPnSbL\/G9ruWeajRNoOTnfTCyr1\/ldZawTO5UprMVE0aKbAep81UNQ0bbWHwOBeMeLbni28ehGD8PjlXK6gh6hGu022hBtskx8zL6M5FAuddN2rAebOA+leb8NeY3PIubxPbyjDmPK1RFm18qSVzQ7v4H\/0CVvmiFPxR9veHL0zvpGZspTPlLhMoWy9zJ1mHJswtnANDm5EpSdQ1\/WIZbKyLBdVA9TJJHIURejVlKAKdKhnUsKUyT45NDnXO9zpInfJ6h9hfA8uOpf\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-hub\" class=\"nx-as\" data-as=\"hub\" aria-labelledby=\"nx-sec-hub-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-hub-h\" class=\"nx-as-title\">The faculty hub.<\/h2><p class=\"nx-as-lede\">News and research as they are published, per discipline, with the faculty's other tools.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ra-feeds\" data-ra-feeds=\"technology-digital\" data-ra-feeds-od=\"xP0gAoHq0YAjPaEcahaMb6bZNrwoOzfk9sjm\/PIVCDw=\" data-ra-feeds-scope=\"ai-safety-evaluation\"><p class=\"nx-tw-empty\">The newest research, preprints, news and humanitarian reports for AI safety and evaluation, each with its source and date, load here. <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/technology-digital\/research-hub\/\">Open the research and news hub<\/a><\/p><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-courses\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-courses-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-courses-h\" class=\"nx-as-title\">No course yet.<\/h2><p class=\"nx-as-lede\">No course has this as its primary discipline yet. It is listed so the gap stays visible.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><p class=\"nx-p nx-mt-1\">The courses on its authoring list are named below.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-approved\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-approved-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-approved-h\" class=\"nx-as-title\">2 courses approved for authoring.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-cc\"><p class=\"nx-cc-h\"><span class=\"nx-tw-path\"><strong>Approved for authoring<\/strong><\/span><span>no enrolment and no achievement until authored and reviewed<\/span><\/p><ol class=\"nx-ra-reg\"><li><div><span class=\"nx-ra-code\">RAS-428<\/span><span class=\"nx-ra-reg-b\"><span class=\"nx-ra-reg-t\">Frontier AI Risk: Foundation Models, Agents and Safety Cases<\/span><\/span><span class=\"nx-ra-state\" data-state=\"approved\">Approved for authoring<\/span><span class=\"nx-ra-reg-m\">L3 Advanced, about 12 hours (estimate)<\/span><\/div><\/li><li><div><span class=\"nx-ra-code\">RAT-239<\/span><span class=\"nx-ra-reg-b\"><span class=\"nx-ra-reg-t\">AI System Evaluation Methods<\/span><\/span><span class=\"nx-ra-state\" data-state=\"approved\">Approved for authoring<\/span><span class=\"nx-ra-reg-m\">L3 Advanced, about 10 hours (estimate)<\/span><\/div><\/li><\/ol><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-ladder\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-ladder-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-ladder-h\" class=\"nx-as-title\">What you can earn here.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><ol class=\"nx-ladder\"><li data-state=\"todo\"><h3 class=\"nx-h4\">Course achievements<\/h3><p class=\"nx-p nx-mt-1\">One for each of the 0 courses with this primary discipline, when you pass its assessed activities; 0 can be earned now.<\/p><\/li><\/ol><p class=\"nx-note nx-mt-3\">Achievements record learning completed here; they do not certify competence. <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/achievements\/\">How recognition works<\/a>.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-practice\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-practice-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-practice-h\" class=\"nx-as-title\">Where the subject is worked on.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><ul class=\"nx-ra-cite\"><li><span class=\"nx-ra-cite-o\">The Global Centre for Risk and Innovation (GCRI)<\/span><span><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems<\/a><span class=\"nx-ra-cite-n\">Model evaluation<\/span><\/span><\/li><\/ul><p class=\"nx-ra-cite-f\">Cited as places where the subject is practised; the institutions named are sources here, and Risk Academy hosts every course.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-foundry\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-foundry-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-foundry-h\" class=\"nx-as-title\">The three Foundry systems where it is practised.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"zZNBTxwxDIX\/ijXnLrm3QySK2BNCQly4ejKeibUZZxp7FubfV9ntCtRC2QsSp0j289PTF7tdEoSEqpeNPG8KbgIbNb5N7FudUf5tbnLj7+h5UdjmRfqytq4Kj3Lf4quJxLJrIBYaLptoNut35yxSYd1djCl3mJxUp81wdHK6qtGktfrLNf7u5vEejrXW4buBpPFbNiFVyAMgTBgiC0HAGTtObCsMuQCC4EQ9GOrudea3Ha\/zNJORBIKS83QaOD2Vz\/8ZfQKWhJ26xt9ip+dhudljWtA4CyzSUwErKDpjITEwUoOQpecq0I+R\/CQJccKy06+DRHSoi\/KwPQ\/IlepSsH5qQCUFlB4KJT6UEk9sZ3B4MXkPg1uSb+c3poe\/budPaphxJIWeNBTuCJ4iGhCGeOrXnGxH7gpYqGp5lLrOGfr8AyzSemhINkBQKnsOBFkgDwOVbwcLtaVfWUaIVAhG3pOCZMAQ6vFYri7TRetm\/xs=\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-terms-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-terms-h\" class=\"nx-as-title\">Terms used on this page.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"lVRNr5wwDPwrFpdedssfYJFev6Re+yr1bJJhsTYkKDZs+fdVYNv31HdouRHs2DPjcRovC7nAqpcq\/jwbdwHne+apapvt8HewIs\/GZzV2t0tleUbJHMC+bSyXT1KXJlwql0LVfkcem9qGN4FP6CWKSYp7uC6X69+FuuTXRz2\/NwzcIVyqUq9qG7Wc4rX9Bn828Cjx2tSPf01t\/s21l25V+2x5djZneGIzjJMpWaKRbyAmXdUwUs8SKGUaRTsMvOBUcnqJnu7gW4QqlDr0KYOSDchKPr3fm29c\/gn+A6IbRs43cilaIcG7HP9L5MeASAa1LYMKSgrgGzxJtERMY\/II75Qss0SJ1y3xRJrKKDKU0oKsxgYSU+JOgth6iMUz97CVHCv+H\/kT6ash5Os8ItqJdJ6mlA2eupWwiEd0RfiB7WUyosTOYSpuXEm5B\/UpE9NVFkSaFYfwf8kpmiDvWh2hcEVE5nCe5jwlBT193WsQW3FOBGeyATQmNXI8bdsUsJSMhSVs543ZjtxkPAb9Y6m5TYywcJgP2udp907q6b4JHAuDh8iOI\/l0IokuzL44Z+8k0H0cLs3Bk+NZQQPn8RDwz3\/QEt85o2zTEdy7zNtebqaWvkdGtLDSveyEGHkYnD3AihXXdCjJhTP8a7j147Wpt\/etbWovS\/sL\"><\/figure><\/div><\/div><\/section><section class=\"nx-as\" data-as=\"related\" aria-labelledby=\"nx-as-rel\"><div class=\"nx-container\"><h2 id=\"nx-as-rel\" class=\"nx-as-title nx-as-small\">Around AI safety and evaluation.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/risksacademy.com\/technology-digital\/artificial-intelligence\/\">Artificial intelligence and machine learning <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/technology-digital\/robotics-autonomous-systems\/\">Robotics and autonomous systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/technology-digital\/ai-assurance-audit\/\">AI assurance and audit <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/technology-digital\/departments\/ai-autonomous-systems\/\">Department of Artificial Intelligence and Autonomous Systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/technology-digital\/\">Faculty of Technology and Digital Systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-1\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">AI safety and evaluation<\/span><h2 id=\"nx-close-1\" class=\"nx-section-title\">Prepare with a related course.<\/h2><p class=\"nx-lede\">Open courses in connected disciplines teach the methods this discipline will build on.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/risksacademy.com\/courses\/\">Browse the course catalogue <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/risksacademy.com\/technology-digital\/departments\/ai-autonomous-systems\/\">Back to Department of Artificial Intelligence and Autonomous Systems<\/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\":\"DefinedTermSet\",\"@id\":\"https:\/\/risksacademy.com\/technology-digital\/ai-safety-evaluation\/#terms\",\"name\":\"Key terms: AI safety and evaluation\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/risksacademy.com\/technology-digital\/ai-safety-evaluation\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Red-teaming\",\"description\":\"Structured attempts to make a system fail or misbehave, to find weaknesses before others do.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/risksacademy.com\/technology-digital\/ai-safety-evaluation\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Benchmark contamination\",\"description\":\"When test data 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