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\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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2eil13f.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section id=\"nx-sec-field\" class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"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 Campaigns<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Responsible AI literacy<\/h1><p class=\"nx-scene-lede\">Artificial intelligence now shapes what people read, which services they receive and how content is made. Responsible AI literacy is a practical understanding of what these <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> do, where they fail and what rights people have when they are used. It covers recognising synthetic media, judging generated answers and knowing when automated decisions can be questioned. This page sets out how misunderstanding of AI forms and spreads, how literacy is measured, and the decisions held by educators, regulators and platforms.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/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\/nexus-campaigns\/topics\/\">Back to Topics<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Responsible AI literacy on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"console\"><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\">Campaigns \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">hexagonal field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">2<\/span><\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"social\" aria-label=\"The question, Simulator, In the five domains, Methods and evidence\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"The question, Simulator, In the five domains, Methods and evidence\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-question\" aria-selected=\"true\" data-key=\"p1\">The question<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-instrument\" aria-selected=\"false\" data-key=\"p2\">Simulator<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-pg-in-the-domains\" aria-selected=\"false\" data-key=\"p3\">In the five domains<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p4\">Methods and evidence<\/button><\/div><section id=\"nx-sec-question\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">Responsible AI literacy: how the risk develops.<\/h2><p class=\"nx-lede\">Practical understanding of AI risks. 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=\"M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z\"\/><path d=\"M9 13a4.5 4.5 0 0 0 3-4\"\/><path d=\"M6.003 5.125A3 3 0 0 0 6.401 6.5\"\/><path d=\"M3.477 10.896a4 4 0 0 1 .585-.396\"\/><path d=\"M6 18a4 4 0 0 1-1.967-.516\"\/><path d=\"M12 13h4\"\/><path d=\"M12 18h6a2 2 0 0 1 2 2v1\"\/><path d=\"M12 8h8\"\/><path d=\"M16 8V5a2 2 0 0 1 2-2\"\/><circle cx=\"16\" cy=\"13\" r=\".5\"\/><circle cx=\"18\" cy=\"3\" r=\".5\"\/><circle cx=\"20\" cy=\"21\" r=\".5\"\/><circle cx=\"20\" cy=\"8\" r=\".5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Capability is misjudged<\/h3><p class=\"nx-p nx-mt-1\">People over-trust fluent machine output, a pattern known as <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h98\" data-tc=\"NHS-1 tech.ai-agentic.human-deskilling\" data-tk=\"Frontier and exponential technology \u00b7 Agentic AI acting at scale\" data-td=\"Operators and professions losing the skills, staffing and independent judgement to run critical work without AI, so that an AI outage or error leaves no capable human fallback.\" data-ts=\"NRS-H98\" data-tr=\"draft\">automation bias<\/a>, and sometimes dismiss useful tools after a single failure. Conversational <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> invite people to attribute understanding and intent they do not have, which shapes how carefully their answers are checked.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M2 12s3-7 10-7 10 7 10 7-3 7-10 7-10-7-10-7Z\"\/><circle cx=\"12\" cy=\"12\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Provenance blurs<\/h3><p class=\"nx-p nx-mt-1\">Synthetic images, audio and text can be produced cheaply and are hard to tell apart from authentic material. The doubt they create also lets genuine evidence be dismissed as fabricated, a pattern described as the liar&#8217;s dividend.<\/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\">Harms fall unevenly<\/h3><p class=\"nx-p nx-mt-1\">Errors and bias in automated systems fall most on people least able to notice or contest them, such as benefit claimants, job applicants and speakers of less-resourced languages. Literacy work that reaches only confident users widens that gap.<\/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\"><circle cx=\"12\" cy=\"4.5\" r=\"2.5\"\/><path d=\"m10.2 6.3-3.9 3.9\"\/><circle cx=\"4.5\" cy=\"12\" r=\"2.5\"\/><path d=\"M7 12h10\"\/><circle cx=\"19.5\" cy=\"12\" r=\"2.5\"\/><path d=\"m13.8 17.7 3.9-3.9\"\/><circle cx=\"12\" cy=\"19.5\" r=\"2.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Use outpaces understanding<\/h3><p class=\"nx-p nx-mt-1\">Tools are adopted at work, in schools and in public services before users, teachers or public servants share a vocabulary for their limits. Misconceptions spread through peer advice and marketing claims and settle into practice before guidance exists.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Simulator<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">A threshold model of collective behaviour.<\/h2><p class=\"nx-lede\">Each agent acts once enough of its contacts have; small changes in the mean threshold or the early movers decide whether the behaviour stays local or cascades through the population. Teaching model with stated illustrative values, not a prediction.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-campaigns-topics-responsible-ai-literacy-0\" data-nxi=\"abm\" data-nxi-id=\"abm\" data-nxi-z=\"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\" aria-label=\"A threshold model of collective behaviour\"><div class=\"nx-in-body\"><div class=\"nx-in-main\"><div class=\"nx-in-tabs\" data-nxi-tabs=\"true\" aria-label=\"Views of the model\" hidden><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"result\">Result<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"agents\">Agents<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"phase\">Tipping point<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"tornado\">Sensitivity<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"loops\">Loops<\/button><\/div><div class=\"nx-in-stage\" id=\"nx-in-campaigns-topics-responsible-ai-literacy-0-stage\" data-nxi-stage=\"true\" data-view=\"result\"><svg class=\"nx-in-svg\" viewBox=\"0 0 720 340\" role=\"img\" aria-label=\"Adoption\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-in-tip\" data-nxi-tip=\"true\" aria-live=\"polite\"><\/p><div class=\"nx-in-bar\" data-nxi-bar=\"true\" role=\"group\" aria-label=\"Play over time\" hidden><button type=\"button\" class=\"nx-in-btn\" data-nxi-prev=\"true\" aria-label=\"Step back\">&#8249;<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-play=\"true\" aria-pressed=\"false\">Play<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-next=\"true\" aria-label=\"Step forward\">&#8250;<\/button><span class=\"nx-in-step\" data-nxi-step=\"true\" aria-live=\"polite\"><\/span><\/div><\/div><div class=\"nx-in-side\"><p class=\"nx-eyebrow\">Controls<\/p><div class=\"nx-in-ctl\" data-nxi-ctl=\"true\"><dl class=\"nx-in-pv\"><div><dt>Mean threshold (share of neighbours)<\/dt><dd>18%<\/dd><\/div><div><dt>Spread of thresholds<\/dt><dd>8 points<\/dd><\/div><div><dt>Early movers<\/dt><dd>2.0% of people<\/dd><\/div><div><dt>Contacts per person<\/dt><dd>8<\/dd><\/div><\/dl><\/div><p class=\"nx-eyebrow\">Readouts<\/p><dl class=\"nx-in-out\" data-nxi-out=\"true\" aria-live=\"polite\"><div><dt>Share who acted in the end<\/dt><dd>100%<\/dd><\/div><div><dt>Global cascade<\/dt><dd>Yes<\/dd><\/div><div><dt>Steps to settle<\/dt><dd>8<\/dd><\/div><\/dl><\/div><\/div><details class=\"nx-in-more\"><summary>Numbers, methods and sources<\/summary><div class=\"nx-in-more-in\"><div class=\"nx-in-tblw\" data-nxi-table=\"true\"><table class=\"nx-in-tbl\"><thead><tr><th scope=\"col\">Step<\/th><th scope=\"col\">Share who have acted (%)<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">0<\/th><td>3.3<\/td><\/tr><tr><th scope=\"row\">1<\/th><td>10.0<\/td><\/tr><tr><th scope=\"row\">2<\/th><td>26.3<\/td><\/tr><tr><th scope=\"row\">3<\/th><td>49.3<\/td><\/tr><tr><th scope=\"row\">4<\/th><td>71.0<\/td><\/tr><tr><th scope=\"row\">5<\/th><td>88.5<\/td><\/tr><tr><th scope=\"row\">6<\/th><td>98.8<\/td><\/tr><tr><th scope=\"row\">7<\/th><td>100.0<\/td><\/tr><tr><th scope=\"row\">8<\/th><td>100.0<\/td><\/tr><\/tbody><\/table><\/div><button type=\"button\" class=\"nx-in-btn\" data-nxi-csv=\"true\" hidden>Download the numbers (CSV)<\/button><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>Threshold models of collective behaviour <span class=\"nx-in-cite\">Granovetter (1978), American Journal of Sociology 83<\/span><\/li><li>Global cascades on random networks <span class=\"nx-in-cite\">Watts (2002), PNAS 99<\/span><\/li><li>Complex contagions <span class=\"nx-in-cite\">Centola and Macy (2007), American Journal of Sociology 113<\/span><\/li><li>One-at-a-time sensitivity (tornado) <span class=\"nx-in-cite\">Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley<\/span><\/li><\/ol><h4 class=\"nx-h4\">Data<\/h4><p class=\"nx-p\">No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme&#8217;s own evidence.<\/p><\/div><\/details><figcaption class=\"nx-caption\">A threshold model of collective behaviour. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Threshold models of collective behaviour (Granovetter (1978), American Journal of Sociology 83); Global cascades on random networks (Watts (2002), PNAS 99); Complex contagions (Centola and Macy (2007), American Journal of Sociology 113).<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/foundry\/\">Campaigns in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/universe\/\">Campaigns in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/\">Governance, Security and Society in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/reports\/\">Campaigns in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/governance-policy\/\">Faculty of Governance, Policy and International Affairs in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><section id=\"nx-sec-pg-in-the-domains\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In the five domains<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">AI literacy matters wherever AI enters a domain&#8217;s services.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"3\" aria-label=\"Domain\"><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/digital-health-risk\/\"><span class=\"nx-dir-name\">Health<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">In practice<\/span><span class=\"nx-dir-v\">Understanding what clinical AI can and cannot do.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">What a reader can check<\/span><span class=\"nx-dir-v\">Literacy measures<\/span><\/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-dir-row\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/agritech-and-innovation\/\"><span class=\"nx-dir-name\">Food<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">In practice<\/span><span class=\"nx-dir-v\">Judging advisory tools for farmers.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">What a reader can check<\/span><span class=\"nx-dir-v\">Use and trust<\/span><\/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-dir-row\" href=\"https:\/\/therisk.global\/water-nexus\/\"><span class=\"nx-dir-name\">Water<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">In practice<\/span><span class=\"nx-dir-v\">Understanding automated alerts from utilities.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">What a reader can check<\/span><span class=\"nx-dir-v\">Response to alerts<\/span><\/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><p class=\"nx-p\">Findings are designed for the <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-reports\/series\/exponential-technology\/\">Exponential Technology series<\/a>. UNESCO&#8217;s Recommendation on the Ethics of AI (2021) includes AI literacy among its policy areas.<\/p><ul class=\"nx-list\"><li>Curricula and evaluations.<\/li><li>Accounts of AI tools in daily life.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How Responsible AI literacy is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"system-model\"><h3 class=\"nx-h4\">System model<\/h3><p class=\"nx-p nx-au-what\">The couplings between the systems in Responsible AI literacy: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.<\/p><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 250\" role=\"img\" aria-label=\"Causal loop diagram of Information, Society, Communities, Economy\" focusable=\"false\"><line class=\"nx-au-ac\" x1=\"280\" y1=\"32\" x2=\"404.7\" y2=\"118\"\/><text class=\"nx-au-t nx-au-sign\" x=\"342.35\" y=\"71\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"404.7\" y1=\"118\" x2=\"280\" y2=\"204\"\/><text class=\"nx-au-t nx-au-sign\" x=\"342.35\" y=\"157\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"280\" y1=\"204\" x2=\"155.3\" y2=\"118\"\/><text class=\"nx-au-t nx-au-sign\" x=\"217.65\" y=\"157\" text-anchor=\"middle\">\u2212<\/text><line class=\"nx-au-ln\" x1=\"155.3\" y1=\"118\" x2=\"280\" y2=\"32\"\/><text class=\"nx-au-t nx-au-sign\" x=\"217.65\" y=\"71\" text-anchor=\"middle\">+<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"280.0\" cy=\"32.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"20\" text-anchor=\"middle\">Information<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"404.7\" cy=\"118.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"416.7\" y=\"122\" text-anchor=\"start\">Society<\/text><circle class=\"nx-au-nd\" cx=\"280.0\" cy=\"204.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"192\" text-anchor=\"middle\">Communities<\/text><circle class=\"nx-au-nd\" cx=\"155.3\" cy=\"118.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"143.3\" y=\"136\" text-anchor=\"end\">Economy<\/text><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"114\" text-anchor=\"middle\">R  reinforcing<\/text><text class=\"nx-au-t\" x=\"280\" y=\"132\" text-anchor=\"middle\">B  balancing<\/text><\/svg><\/div><figcaption class=\"nx-caption\"><span>Causal loop diagram from the page&#8217;s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"social\" aria-label=\"Indicators, Sources, Decisions, Core questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Indicators, Sources, Decisions, Core questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-indicators\" aria-selected=\"true\" data-key=\"p1\">Indicators<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-sources\" aria-selected=\"false\" data-key=\"p2\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-decisions\" aria-selected=\"false\" data-key=\"p3\">Decisions<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-4\" aria-controls=\"nx-sec-core-questions\" aria-selected=\"false\" data-key=\"p4\">Core questions<\/button><\/div><section id=\"nx-sec-indicators\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" 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\" data-lv=\"register\"><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\">Self-assessed understanding of AI<\/td><td data-label=\"Unit\">percent of respondents<\/td><td data-label=\"Cadence\">per survey wave<\/td><td data-label=\"Source type\">Eurobarometer and national surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Accuracy in identifying synthetic media<\/td><td data-label=\"Unit\">percent correct in a controlled task<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Experimental audience research<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Awareness of rights over automated decisions<\/td><td data-label=\"Unit\">percent of respondents<\/td><td data-label=\"Cadence\">per survey wave<\/td><td data-label=\"Source type\">National and EU surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Concern about telling real from fake content online<\/td><td data-label=\"Unit\">percent of respondents<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Reuters Institute Digital News Report<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Teachers trained in the use of AI<\/td><td data-label=\"Unit\">percent of teachers<\/td><td data-label=\"Cadence\">per survey cycle<\/td><td data-label=\"Source type\">OECD TALIS and education ministries<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Reported AI incidents involving deception or <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h51\" data-tc=\"NHS-1 cyber.intrusion.social-engineering\" data-tk=\"Information and cyber-physical systems \u00b7 Malicious compromise\" data-td=\"Deception such as phishing, impersonation or pretexting that tricks people into handing over access, money or data.\" data-ts=\"NRS-H51\" data-tr=\"draft\">impersonation<\/a><\/td><td data-label=\"Unit\">incidents per month<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">AI Incident Database<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">AI literacy measures in national policy<\/td><td data-label=\"Unit\">count of measures by type<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">OECD.AI policy database<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/topics\/responsible-ai-literacy\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-7\" 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\" data-lv=\"register\"><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\">Eurobarometer surveys on artificial intelligence and the digital decade<\/td><td data-label=\"What it gives\">Awareness, attitudes and expectations of AI across EU member states<\/td><td data-label=\"Licence class\">Free reuse with attribution<\/td><\/tr><tr><td data-label=\"Source\">Stanford AI Index<\/td><td data-label=\"What it gives\">Annual compilation of AI research, deployment, policy and public opinion data<\/td><td data-label=\"Licence class\">CC BY-ND 4.0<\/td><\/tr><tr><td data-label=\"Source\">OECD.AI Policy Observatory<\/td><td data-label=\"What it gives\">National AI strategies and policy measures, including education and skills<\/td><td data-label=\"Licence class\">OECD terms, free with attribution<\/td><\/tr><tr><td data-label=\"Source\">AI Incident Database<\/td><td data-label=\"What it gives\">Reported incidents of harm or near harm involving 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=\"Licence class\">CC BY-SA 4.0<\/td><\/tr><tr><td data-label=\"Source\">Reuters Institute Digital News Report<\/td><td data-label=\"What it gives\">Public comfort with AI in news and concern about false content<\/td><td data-label=\"Licence class\">Free to read; survey data by request<\/td><\/tr><tr><td data-label=\"Source\">OECD TALIS<\/td><td data-label=\"What it gives\">Teacher training, practice and use of digital tools<\/td><td data-label=\"Licence class\">OECD terms, free with attribution<\/td><\/tr><tr><td data-label=\"Source\">Pew Research Center surveys on AI<\/td><td data-label=\"What it gives\">Public awareness of and attitudes to AI in several countries<\/td><td data-label=\"Licence class\">Free to use with attribution; datasets on request<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/topics\/responsible-ai-literacy\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Campaigns 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\"><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\">Ministries of education and curriculum authorities<\/td><td data-label=\"The question\">Which AI competencies students and teachers need, and at which stages<\/td><td data-label=\"Evidence this page serves\">Teacher training data; competency frameworks; tested teaching material<\/td><\/tr><tr><td data-label=\"Who decides\">AI and data protection regulators<\/td><td data-label=\"The question\">How to supervise AI literacy and transparency obligations, such as Article 4 of the EU AI Act<\/td><td data-label=\"Evidence this page serves\">Awareness surveys; incident records; literacy measures in policy<\/td><\/tr><tr><td data-label=\"Who decides\">Online platforms and AI providers<\/td><td data-label=\"The question\">How to label synthetic content and explain system limits to users<\/td><td data-label=\"Evidence this page serves\">Research on label comprehension; incident patterns; provenance standards<\/td><\/tr><tr><td data-label=\"Who decides\">Electoral management bodies<\/td><td data-label=\"The question\">How to prepare voters for synthetic media during elections<\/td><td data-label=\"Evidence this page serves\">Detection task research; rumour logs; trust in electoral information<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Practical explainers on how generative and predictive <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> work and fail<\/li><li>Exercises on checking source and provenance of media, with their limits stated<\/li><li>Plain-language guides to rights over automated decisions under applicable law<\/li><li>Teaching material for educators aligned with UNESCO AI competency frameworks<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">What experts ask.<\/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\">What should a non-specialist understand?<\/h3><p class=\"nx-p nx-mt-1\">That 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> learn patterns from data, can be confidently wrong and reflect the limits of what they were trained on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Which risks are practical today?<\/h3><p class=\"nx-p nx-mt-1\">Fabricated content, <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h51\" data-tc=\"NHS-1 cyber.intrusion.social-engineering\" data-tk=\"Information and cyber-physical systems \u00b7 Malicious compromise\" data-td=\"Deception such as phishing, impersonation or pretexting that tricks people into handing over access, money or data.\" data-ts=\"NRS-H51\" data-tr=\"draft\">impersonation<\/a>, automated errors in services, privacy loss and over-reliance on generated answers.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">How can people check what they see?<\/h3><p class=\"nx-p nx-mt-1\">Habits of verification: source tracing, provenance signals and asking who benefits from a claim.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">What recourse exists?<\/h3><p class=\"nx-p nx-mt-1\">How people can question an automated decision, correct data about themselves or report misuse.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-hue=\"social\" aria-label=\"Mechanisms, Methods and limits, Methods, Sources\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Mechanisms, Methods and limits, Methods, Sources\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-sec-mechanisms\" aria-selected=\"true\" data-key=\"p1\">Mechanisms<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-sec-methods-and-limits\" aria-selected=\"false\" data-key=\"p2\">Methods and limits<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-3\" aria-controls=\"nx-sec-methods\" aria-selected=\"false\" data-key=\"p3\">Methods<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-4\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"false\" data-key=\"p4\">Sources<\/button><\/div><section id=\"nx-sec-mechanisms\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What drives the outcome.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Generative models produce fluent text, images and audio by predicting plausible outputs, not by checking facts. Fluency invites trust, which is why errors and fabrications can spread. Synthetic media lowers the cost of <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h51\" data-tc=\"NHS-1 cyber.intrusion.social-engineering\" data-tk=\"Information and cyber-physical systems \u00b7 Malicious compromise\" data-td=\"Deception such as phishing, impersonation or pretexting that tricks people into handing over access, money or data.\" data-ts=\"NRS-H51\" data-tr=\"draft\">impersonation<\/a> and of producing misleading material at scale.<\/p><p class=\"nx-p\">Automated decision <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> used in lending, hiring, benefits or policing can embed historical patterns in their data, and their reasoning may be hard to explain. Errors fall unevenly, and people affected may not know an automated system was involved.<\/p><p class=\"nx-p\">Public discussion swings between alarm and hype. Both distort judgement. Literacy work aims for calibrated understanding: what current systems do reliably, where they fail and which safeguards exist.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-11\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How evidence is gathered, and where it stops.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Its limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">Misconception surveys<\/td><td data-label=\"What it shows\">Common beliefs about how AI works<\/td><td data-label=\"Its limit\">Beliefs shift quickly with new tools<\/td><\/tr><tr><td data-label=\"Method\">Hands-on exercises<\/td><td data-label=\"What it shows\">Whether people can spot errors or synthetic content<\/td><td data-label=\"Its limit\">Detection skills may not transfer to new formats<\/td><\/tr><tr><td data-label=\"Method\">Expert review<\/td><td data-label=\"What it shows\">Accuracy of claims about capabilities<\/td><td data-label=\"Its limit\">Capabilities change between review and reading<\/td><\/tr><tr><td data-label=\"Method\">Follow-up measures<\/td><td data-label=\"What it shows\">Whether verification habits persist<\/td><td data-label=\"Its limit\">Attrition and self-report bias<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-12\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-12\" 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\/nexus-campaigns\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Audience research before a campaign \u00b7 Pre-testing material for comprehension<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\" aria-label=\"Canonical \u00b7 STEM Commons: Social and behavioural science\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-campaigns\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Communicating before the evidence settles \u00b7 Choosing channels and audiences<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\" aria-label=\"Canonical \u00b7 STEM Commons: Decision analysis under uncertainty\">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\">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> change faster than literacy research can test them, so material ages quickly and must carry its date. Detection exercises can teach false confidence, because skilled fakes are not reliably spotted by people or by tools. Survey measures of AI understanding depend on how AI is defined in the question. Most evidence comes from high-income, well-connected settings. Campaigns describes systems and rights in general terms; it does not assess specific products or give legal advice.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-13\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-4\"><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\">Where this page&#8217;s references<\/span><\/div><h2 id=\"nx-s-13\" 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.unesco.org\/en\/artificial-intelligence\/recommendation-ethics\"><span>UNESCO Recommendation on the Ethics of Artificial Intelligence (UNESCO, 2021)<\/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.unesco.org\/en\/media-information-literacy\"><span>UNESCO Media and Information Literacy curriculum (UNESCO, 2021 edition)<\/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><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-4\" data-tone=\"alt\" data-hue=\"social\" aria-label=\"Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-4-tab-1\" aria-controls=\"nx-s-14-sec\" aria-selected=\"true\" data-key=\"p1\">Questions<\/button><\/div><section id=\"nx-s-14-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-14\" role=\"tabpanel\" data-band-tab=\"nx-band-4-tab-1\"><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-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can people learn to spot deepfakes?<\/summary><div class=\"nx-answer\">Training improves performance on some tasks, but skilled synthetic media are often undetectable by eye or ear. Checking the source, the context and any provenance record is more reliable than inspecting the content itself.<\/div><\/details><details><summary>What is content provenance?<\/summary><div class=\"nx-answer\">A record attached to an image, video or audio file stating how it was made and edited, such as Content Credentials under the C2PA standard. A missing record does not prove a file is fake.<\/div><\/details><details><summary>What rights do people have over automated decisions?<\/summary><div class=\"nx-answer\">It depends on jurisdiction. In the European Union, data protection law gives rights to information and, in many cases, to human review of decisions based solely on automated processing. Other jurisdictions differ.<\/div><\/details><details><summary>Does Campaigns rate AI products?<\/summary><div class=\"nx-answer\">No. It explains how AI systems work and fail in general terms and points to the regulators and standards bodies whose assessments apply.<\/div><\/details><details><summary>Does the platform evaluate or rate AI products?<\/summary><div class=\"nx-answer\">No. It explains how AI systems work and fail in general terms. It does not test, rate or approve any product.<\/div><\/details><details><summary>Is AI used to produce campaign material?<\/summary><div class=\"nx-answer\">Where a tool assists, its use is disclosed, and every claim is checked against sources by a named reviewer before publication.<\/div><\/details><details><summary>How does the material stay current?<\/summary><div class=\"nx-answer\">Each explainer carries a review date. When capabilities or rules change, it is revised and the change is recorded as a new version.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Campaigns<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-campaigns\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/nexus-campaigns\/topics\/responsible-ai-literacy#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-l-nexus-campaigns-topics-responsible-ai-literacy-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-l-nexus-campaigns-topics-responsible-ai-literacy-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-l-nexus-campaigns-topics-responsible-ai-literacy-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/governance-in-operation\/decision-rights#the-nexus-standards-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\/governance-policy\/ai-digital-governance\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> AI and digital governance<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\/communities\/global-consortium\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Global consortium<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-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Campaigns<\/span><h2 id=\"nx-close-15\" 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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