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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1ce26ya.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Artificial Intelligence and Autonomous Systems<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Learning and professional development<\/h1><p class=\"nx-scene-lede\">Learning paths of Artificial Intelligence and Autonomous <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">Systems<\/a> in artificial intelligence and data and compute, built on the methods of the STEM Commons and linked to recognised providers.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/\">Back to Artificial Intelligence and Autonomous Systems<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sequence<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">The order things happen in.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"timeline\"><div class=\"nx-hero-rail\"><ol class=\"nx-lv-rail\"><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/programmes\/\"><span class=\"nx-lv-rail-k\">01<\/span><span class=\"nx-lv-rail-t\">Question<\/span><span class=\"nx-lv-rail-n\">National, regional or institutional priority<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/\"><span class=\"nx-lv-rail-k\">02<\/span><span class=\"nx-lv-rail-t\">Evidence<\/span><span class=\"nx-lv-rail-n\">STEM foundation of the platform<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/foundry\/\"><span class=\"nx-lv-rail-k\">03<\/span><span class=\"nx-lv-rail-t\">Build<\/span><span class=\"nx-lv-rail-n\">Foundry<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/community\/\"><span class=\"nx-lv-rail-k\">04<\/span><span class=\"nx-lv-rail-t\">Organise<\/span><span class=\"nx-lv-rail-n\">Nexus ecosystem<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/universe\/\"><span class=\"nx-lv-rail-k\">05<\/span><span class=\"nx-lv-rail-t\">Test<\/span><span class=\"nx-lv-rail-n\">Universe (independent site)<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/reports\/\"><span class=\"nx-lv-rail-k\">06<\/span><span class=\"nx-lv-rail-t\">Publish<\/span><span class=\"nx-lv-rail-n\">Reports<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/trust\/\"><span class=\"nx-lv-rail-k\">07<\/span><span class=\"nx-lv-rail-t\">Decide<\/span><span class=\"nx-lv-rail-n\">Competent authorities and institutions, through NXS-RLS (participants, agreements and handoffs)<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/programmes\/\"><span class=\"nx-lv-rail-k\">08<\/span><span class=\"nx-lv-rail-t\">Renew<\/span><span class=\"nx-lv-rail-n\">Corrections and the next annual agenda<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-paths\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Paths<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">Start from the methods.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-chips\"><span class=\"nx-chip\">Artificial intelligence and machine learning<\/span><span class=\"nx-chip\">AI evaluation and assurance engineering<\/span><span class=\"nx-chip\">High-performance, cloud and edge computing<\/span><span class=\"nx-chip\">Probability and statistics<\/span><span class=\"nx-chip\">Cybersecurity and cryptography<\/span><span class=\"nx-chip\">Social and behavioural science<\/span><span class=\"nx-chip\">Robotics and automation<\/span><\/div><p class=\"nx-p nx-mt-3\">Each method links to its canonical page, which lists teaching material as it is published.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"workflow\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/learning\/#workflow\" data-nxf-title=\"Participation\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-curriculum\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">A path through the field<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">A learning path through AI risk.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Module<\/th><th>Builds on<\/th><th>Level<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Module\">How machine learning works<\/td><td data-label=\"Builds on\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-ml\/\">Artificial intelligence and machine learning<\/a><\/td><td data-label=\"Level\">Foundation<\/td><\/tr><tr><td data-label=\"Module\">Probability for AI evaluation<\/td><td data-label=\"Builds on\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/probability-statistics\/\">Probability and statistics<\/a><\/td><td data-label=\"Level\">Foundation<\/td><\/tr><tr><td data-label=\"Module\">AI assurance<\/td><td data-label=\"Builds on\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-assurance\/\">AI evaluation and assurance engineering<\/a><\/td><td data-label=\"Level\">Intermediate<\/td><\/tr><tr><td data-label=\"Module\">Security of AI <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">systems<\/a><\/td><td data-label=\"Builds on\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/cybersecurity\/\">Cybersecurity and cryptography<\/a><\/td><td data-label=\"Level\">Intermediate<\/td><\/tr><tr><td data-label=\"Module\">AI in society<\/td><td data-label=\"Builds on\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/social-science\/\">Social and behavioural science<\/a><\/td><td data-label=\"Level\">Advanced<\/td><\/tr><tr><td data-label=\"Module\">Robots and autonomy<\/td><td data-label=\"Builds on\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/robotics\/\">Robotics and automation<\/a><\/td><td data-label=\"Level\">Advanced<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/learning\/#search\" data-nxf-title=\"Find a group\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Process<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-wg-lifecycle\" data-nx-pe=\"nx-pe-wg-lifecycle\" data-active=\"wg-lifecycle\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Learning and professional development: Working group, charter to sunset<\/h2><p class=\"nx-pe-cap\">A working group is chartered by record for a fixed timebox, delivers bounded assignments, drafts and recommends, then dissolves unless renewed; it does not adopt.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Form<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">NLC proposes the group<\/span><span class=\"nx-pe-k\">Decision \u00b7 National Leadership Council<\/span><span class=\"nx-pe-sm\">The NLC proposes working groups and nominates chairs, editors and experts from its leadership pools. It does not charter.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Charter by record<\/span><span class=\"nx-pe-k\">Decision \u00b7 National Standards Council<\/span><span class=\"nx-pe-sm\">A working group is chartered by record for a timebox of at most twenty-four months. The charter sets its scope, roles and decision rule.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Members join by competence<\/span><span class=\"nx-pe-k\">Step \u00b7 Members<\/span><span class=\"nx-pe-sm\">Experts, practitioners, students and volunteers join by competence. Members declare interests and recuse on conflict.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Work<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Workplan from the national agenda<\/span><span class=\"nx-pe-k\">Step<\/span><span class=\"nx-pe-sm\">Assignments come from the national agenda and the year&#8217;s missions. Each states the competence it needs and how the work will be reviewed.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Drafts and deliverables, delivered monthly<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">Groups deliver monthly. For standards they draft the national profile and deviation register and run national public comment and pilots.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Review<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Contribution record and review<\/span><span class=\"nx-pe-k\">Gate<\/span><span class=\"nx-pe-sm\">Each contribution is recorded and reviewed. A working group drafts and recommends; it does not adopt.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Recognition follows the record<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">Contribution records are kept, so that recognition follows the record.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\">National adoption is decided elsewhere<\/span><span class=\"nx-pe-k\">Decision \u00b7 National Standards Council<\/span><span class=\"nx-pe-sm\">The National Standards Council decides the adoption mode and the national profile. The working group proposes and never decides.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Close<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">Dissolved by default, or renewed by record<\/span><span class=\"nx-pe-k\">Decision \u00b7 National Standards Council<\/span><span class=\"nx-pe-sm\">A group is dissolved by default at the end of the timebox. The National Standards Council renews or closes it, on the NLC&#8217;s proposal.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/governance-in-operation\/nwg\" rel=\"noopener\">National Working Groups<\/a> \u00b7 National Standards Council \u00b7 Decision rights<\/span><span>Designed programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. No working group is constituted. The charter rules belong to the proposed <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/\" data-tc=\"Nexus Standards\" data-tk=\"Nexus Standards\" data-td=\"The foundation standards\">Nexus Standards<\/a> working model.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-status\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-5\"><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\">Status<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How courses are added.<\/h2><p class=\"nx-lede\">Courses are listed once approved, with their provider, level and terms. Completing a course is a learning record, not a professional licence or certification.<\/p><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Where this page&#8217;s references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\"><span>NIST AI Risk Management Framework<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.iso.org\/standard\/81230.html\"><span>ISO\/IEC 42001:2023 Artificial intelligence management system (ISO)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.iso.org\/standard\/77304.html\"><span>ISO\/IEC 23894:2023 AI guidance on risk management (ISO)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/oecd.ai\/en\/ai-principles\"><span>OECD AI Principles<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-7\"><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\">Questions<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are courses free?<\/summary><div class=\"nx-answer\">Each course states its own terms when it is listed.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-therisk-global-ai-autonomous-systems-learning-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-therisk-global-ai-autonomous-systems-learning-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-therisk-global-ai-autonomous-systems-learning-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/governance-in-operation\/decision-rights\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Decision rights<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/technology-digital\/artificial-intelligence\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Artificial intelligence and machine learning<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/digital-ai\/cyber-and-digital-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Cyber and digital risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-8\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><h2 id=\"nx-close-8\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.<\/p><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n<!-- nx-rev:147d973f9df70e70 -->\n<!-- nx-shared:ccfcb094e272 -->\n<!-- nx-path:\/learning\/ -->","protected":false},"excerpt":{"rendered":"<p>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();GCRI \u00b7 Artificial Intelligence and Autonomous Systems<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":305,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","_nx_seo_description":"Learning paths of Artificial Intelligence and Autonomous Systems in artificial intelligence and data and compute. 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