{"id":13622,"date":"2026-10-13T08:24:48","date_gmt":"2026-10-13T12:24:48","guid":{"rendered":"https:\/\/therisk.global\/nexus-campaigns\/?page_id=13622"},"modified":"2026-10-13T16:04:55","modified_gmt":"2026-10-13T20:04:55","slug":"responsible-ai-literacy","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/","title":{"rendered":"Responsible AI literacy"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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6G6Kel6B1DwkSnTbHKg7d4KxTG8BrT45iVFq71hxpQofuQUiJ3xO6Gp5ZJjOD3BCMzqFQwLr5eL7eUQcWoUvyeXpvqE5GymRawW2Vb9MX4w+jG+MVFNkJDMVv92I13P8D\"><style>#nxe-n2eil13f.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n2eil13f.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n2eil13f.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n2eil13f.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n2eil13f.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n2eil13f.nxe :where(ul,ol){padding-left:20px}#nxe-n2eil13f.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n2eil13f.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n2eil13f.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n2eil13f.nxe svg{display:none}#nxe-n2eil13f.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n2eil13f.nxe :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 class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G07 \u00b7 TOPIC \u00b7 responsible-ai-literacy<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Nexus Campaigns<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Nexus Campaigns<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Responsible AI literacy<\/h1><p class=\"nx-tagline\">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 systems 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\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G07 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">2<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Digital demand and connectivity in\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Responsible AI literacy: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">AI literacy is a practical understanding of what artificial intelligence systems do, where they fail and what rights people have when they are used. It covers recognising synthetic media, judging generated answers and knowing when an automated decision can be questioned. Detection by eye is unreliable, so provenance signals matter.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Digital demand and connectivity in South Africa.<\/h2><p class=\"nx-lede\">Urban demand centres and the hubs that anchor digital and data infrastructure, shown for South Africa as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"south-africa:digital\" data-ramp=\"purple\" data-basis=\"case\" data-focus=\"0 0 2000 1400|331 90 1711 1293|1206 699 1408 895|1534 439 1647 593\"><figure class=\"nx-fk\" data-fk=\"map-south-africa-digital\" data-ramp=\"purple\" 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\"><figcaption class=\"nx-fk-cap\"><span>Urban demand centres and the hubs that anchor digital and data infrastructure.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/topics\/responsible-ai-literacy\/#map\" data-nxf-title=\"Nexus Campaigns live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Campaigns \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" 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 automation bias, and sometimes dismiss useful tools after a single failure. Conversational systems 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'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 officials 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-terms\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Synthetic media<\/td><td data-label=\"Definition\">Images, audio, video or text generated or substantially altered by AI.<\/td><\/tr><tr><td data-label=\"Term\">Deepfake<\/td><td data-label=\"Definition\">Synthetic media that depicts a real person saying or doing something they did not.<\/td><\/tr><tr><td data-label=\"Term\">Content provenance<\/td><td data-label=\"Definition\">Information attached to media about its origin and edits, such as Content Credentials under the C2PA standard.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"social\" 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\">05<\/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\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Reported AI incidents involving deception or impersonation<\/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-pipeline\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Responsible AI literacy as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g07-topics-responsible-ai-literacy-info-i-t nx-dag-g07-topics-responsible-ai-literacy-info-i-d\" data-nx-z=\"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\"><title id=\"nx-dag-g07-topics-responsible-ai-literacy-info-i-t\">Responsible AI literacy: responding to harmful information<\/title><desc id=\"nx-dag-g07-topics-responsible-ai-literacy-info-i-d\">Public narratives are monitored; items are detected and their provenance verified; harm is assessed against a threshold; the response (correct, prebunk, label, escalate) is chosen and reported transparently. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" 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 systems<\/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\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Nexus 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 systems 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\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" 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 systems 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, impersonation, 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><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" 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 impersonation and of producing misleading material at scale.<\/p><p class=\"nx-p\">Automated decision systems 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\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-12\" 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\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" 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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\" aria-label=\"Social and behavioural science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">AI systems 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. Nexus 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-s-14-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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 Nexus 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><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Nexus Campaigns.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/\">Risk literacy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/water-and-food-awareness\/\">Water and food awareness <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/community-preparedness\/\">Community preparedness <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-governance\/\">Campaign governance <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/participation-consent\/\">Participation consent <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-evidence\/\">Campaign evidence <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/\">Nexus Campaigns home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Nexus Campaigns<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Nexus%20Campaigns%3A%20Responsible%20AI%20literacy\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can people learn to spot deepfakes?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Training improves performance on some tasks, but skilled synthetic media are often undetectable by eye or ear. 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