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\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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n231h959.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=\"dag\" 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>R-P05 \u00b7 TOPIC \u00b7 ai-generated-information<\/strong>GRF 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\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Information Integrity and Public Trust<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Information Integrity and Public Trust<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">AI generated information<\/h1><p class=\"nx-tagline\">Generative AI produces text, images, audio and video that can be hard to tell from human work. It lowers the cost of producing persuasive and false content, and of impersonating real people. Governance responds with provenance standards, labelling duties and platform rules, each with limits. This page sets out how AI-generated information affects integrity, the records that show it, and who decides.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/information-integrity\/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:\/\/globalriskforum.com\/information-integrity\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-canvas\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Systems<\/strong> \u00b7 around this subject<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-info-narratives\" data-cx=\"info.narratives\" data-variant=\"section\" aria-label=\"Narrative monitor: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Narrative monitor<\/h2><p class=\"nx-fk-sub\">AI generated information \u00b7 Crisis information cell \u00b7 Week 34<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Harmful rumour spreading<\/span><span class=\"nx-cx-prod\">GRF \u00b7 Information Integrity and Public Trust<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Narratives<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-info-narratives-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-info-narratives-t0\" aria-label=\"Narratives\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Narrative<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Reach index<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Harm<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Verification<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Response<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-info-narratives:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Tap water poisoned after flood<\/td><td data-num=\"true\" data-sv=\"81\">81<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>False<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Correction out<\/span><\/td><\/tr><tr data-fk-key=\"cx-info-narratives:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Shelters charging fees<\/td><td data-num=\"true\" data-sv=\"64\">64<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>False<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Drafting<\/span><\/td><\/tr><tr data-fk-key=\"cx-info-narratives:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Dam about to fail<\/td><td data-num=\"true\" data-sv=\"69\">69<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Checking<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Holding line<\/span><\/td><\/tr><tr data-fk-key=\"cx-info-narratives:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Aid only for registered voters<\/td><td data-num=\"true\" data-sv=\"22\">22<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>False<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Prebunked<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Spread<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Spread\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-info-narratives-c1\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Rumour|ink|l||0:40.7;1:44.6;2:43.9;3:42.7;4:41.9;5:47.7;6:53.3;7:54.6;8:52;9:49.2;10:48.6;11:46.9;12:49.3;13:51.3;14:53.3;15:53.9;16:59.3;17:62;18:66;19:64.5;20:66.3;21:67.4;22:63.4;23:68.6~Correction|acc|l||0:46.3;1:49.4;2:47.9;3:51.7;4:56;5:53.1;6:52.7;7:53;8:51.7;9:55.7;10:53.1;11:54.9;12:58.3;13:58.8;14:60.5;15:58.9;16:57.6;17:54.7;18:53.1;19:57.8;20:57.8;21:57.2;22:60.9;23:59.9\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Response protocol<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"5\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Detect<\/span><span class=\"nx-cx-snote\">monitor<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Verify<\/span><span class=\"nx-cx-snote\">provenance<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Assess harm<\/span><span class=\"nx-cx-snote\">threshold<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Respond<\/span><span class=\"nx-cx-snote\">correct \u00b7 prebunk<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Report<\/span><span class=\"nx-cx-snote\">transparency<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Narrative monitor: the screen's structure, terms and states for AI generated information.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>Narrative monitor. Design wireframe with placeholder names and illustrative values, not a record or a live system.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in Eastern Europe<\/a><a href=\"#nx-sec-question\"><span>03<\/span>AI generated information: 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\" 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-generated content is text, images, audio or video produced by generative AI, which can be hard to tell from human work. It lowers the cost of persuasion, deception and impersonation. Provenance standards, labelling duties and platform rules respond, with limits. Legislators, platforms, electoral authorities and newsrooms hold the decisions.<\/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\">Connected activity in Eastern Europe.<\/h2><p class=\"nx-lede\">For ai generated information, in GRF's situational-awareness reading, the map opens on population density and night lights with night lights tonight from NASA GIBS, framed on Eastern Europe; 4 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"eastern-europe:digital\" data-ml-points=\"on\" data-ml-src=\"digital\" data-ml-plan=\"p-5880f628\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"14,44,41,58\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, Eastern Europe: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" 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0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For ai generated information, in GRF's situational-awareness reading, the map opens on population density and night lights with night lights tonight from NASA GIBS, framed on Eastern Europe; 4 further NASA layers wait in the list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA\/NOAA VIIRS \u00b7 GDACS \u00b7 NASA EONET<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): NASA\/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/grf\/R-P05\/topics\/ai-generated-information\/#map\" data-nxf-title=\"Information Integrity and Public Trust live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" 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\">AI generated information: how the risk develops.<\/h2><p class=\"nx-lede\">Synthetic media and authenticity. 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\">Production cost collapses<\/h3><p class=\"nx-p nx-mt-1\">Generating plausible text, images and voices is cheap and fast. Volume overwhelms review, and low-quality synthetic content fills search results and feeds.<\/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=\"M17 18a2 2 0 0 0-2-2H9a2 2 0 0 0-2 2\"\/><rect width=\"18\" height=\"18\" x=\"3\" y=\"4\" rx=\"2\"\/><circle cx=\"12\" cy=\"10\" r=\"2\"\/><line x1=\"8\" x2=\"8\" y1=\"2\" y2=\"4\"\/><line x1=\"16\" x2=\"16\" y1=\"2\" y2=\"4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Impersonation becomes easy<\/h3><p class=\"nx-p nx-mt-1\">Voice and video clones of real people enable fraud, harassment and political deception. Victims include public figures and private individuals.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Detection is unreliable<\/h3><p class=\"nx-p nx-mt-1\">Detectors produce false positives and miss content that has been edited or compressed. Reliance on detection alone can wrongly accuse genuine content.<\/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\">Doubt devalues the real<\/h3><p class=\"nx-p nx-mt-1\">When anything could be fake, genuine evidence can be dismissed as synthetic. This liar's dividend weakens documentation of real events.<\/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\">Deepfake<\/td><td data-label=\"Definition\">Synthetic or manipulated media that realistically depicts a person saying or doing something they did not.<\/td><\/tr><tr><td data-label=\"Term\">Content credentials<\/td><td data-label=\"Definition\">Provenance information attached to media under the C2PA standard, recording creation and edits.<\/td><\/tr><tr><td data-label=\"Term\">Liar's dividend<\/td><td data-label=\"Definition\">The benefit to those who dismiss genuine evidence as fake when synthetic media are known to exist.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"social\" 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\"><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\">Platforms implementing content credentials<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">on change<\/td><td data-label=\"Source type\">C2PA and platform records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Synthetic content labelling rules in force<\/td><td data-label=\"Unit\">count of jurisdictions<\/td><td data-label=\"Cadence\">on change<\/td><td data-label=\"Source type\">Legislation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Reported deepfake incidents<\/td><td data-label=\"Unit\">count by harm type<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Incident databases<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Detection tool accuracy<\/td><td data-label=\"Unit\">true and false positive rates<\/td><td data-label=\"Cadence\">per evaluation<\/td><td data-label=\"Source type\">Independent benchmarks<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Election-related synthetic media incidents<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">per election<\/td><td data-label=\"Source type\">Monitoring reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Public ability to identify synthetic media<\/td><td data-label=\"Unit\">share correct in tests<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Experimental studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/grf\/R-P05\/topics\/ai-generated-information\/#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 AI generated information 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-r-p05-topics-ai-generated-information-inf-t nx-dag-r-p05-topics-ai-generated-information-inf-d\" data-nx-z=\"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\"><title id=\"nx-dag-r-p05-topics-ai-generated-information-inf-t\">AI generated information: responding to harmful information<\/title><desc id=\"nx-dag-r-p05-topics-ai-generated-information-inf-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\"><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\">C2PA specifications and conformance records<\/td><td data-label=\"What it gives\">Provenance standard and adopters<\/td><td data-label=\"Licence class\">Free, C2PA terms<\/td><\/tr><tr><td data-label=\"Source\">OECD AI Incidents Monitor<\/td><td data-label=\"What it gives\">Incidents including synthetic media harms<\/td><td data-label=\"Licence class\">Free, OECD terms<\/td><\/tr><tr><td data-label=\"Source\">AI Incident Database<\/td><td data-label=\"What it gives\">Reported incidents involving AI<\/td><td data-label=\"Licence class\">Open, licence to check<\/td><\/tr><tr><td data-label=\"Source\">Partnership on AI Responsible Practices for Synthetic Media<\/td><td data-label=\"What it gives\">Framework and case studies for synthetic media<\/td><td data-label=\"Licence class\">Free to read, terms to check<\/td><\/tr><tr><td data-label=\"Source\">Electoral authority and observer reports<\/td><td data-label=\"What it gives\">Synthetic media in election campaigns<\/td><td data-label=\"Licence class\">Public records, terms per publisher<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R-P05\/topics\/ai-generated-information\/#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\" 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\">Information Integrity and Public Trust prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Legislatures and AI regulators<\/td><td data-label=\"The question\">What labelling and disclosure duties apply to synthetic content<\/td><td data-label=\"Evidence this page serves\">Comparative rules and evidence on effects<\/td><\/tr><tr><td data-label=\"Who decides\">Platforms and AI developers<\/td><td data-label=\"The question\">Whether to attach provenance and how to label content<\/td><td data-label=\"Evidence this page serves\">Standards and implementation practice<\/td><\/tr><tr><td data-label=\"Who decides\">Electoral authorities<\/td><td data-label=\"The question\">How to address synthetic media in campaigns<\/td><td data-label=\"Evidence this page serves\">Monitoring reports and comparable rules<\/td><\/tr><tr><td data-label=\"Who decides\">Newsrooms<\/td><td data-label=\"The question\">How to verify media and disclose AI use<\/td><td data-label=\"Evidence this page serves\">Verification practice and standards<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to content provenance, watermarking and labelling<\/li><li>Comparative notes on synthetic media rules<\/li><li>Dialogue briefs on the limits of detection<\/li><li>Questions for electoral authorities on synthetic media<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" 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><p class=\"nx-lede\">Researchers on AI-generated information ask how to keep authentic evidence trustworthy.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>How is generative AI changing the volume, quality and cost of misleading content?<\/li><li>How reliable are tools for detecting synthetic media, and how quickly do they become outdated?<\/li><li>Can provenance and watermarking establish authenticity at scale?<\/li><li>How does the possibility of synthetic media affect trust in genuine evidence?<\/li><li>What obligations should apply to developers, deployers and distributors of generative AI?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms-and-drivers\" 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 and drivers<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Cheaper fakes and doubted truths.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Generative AI lowers the cost of producing convincing false content, including impersonation of public figures and fabricated evidence. It also enables personalised and multilingual content at scale. At the same time, the mere possibility of synthetic media allows genuine evidence to be dismissed as fake, a dynamic sometimes called the liar's dividend.<\/p><p class=\"nx-p\">Detection tools can identify some synthetic content, but they are imperfect and engage in a continuing race with generation methods. Provenance approaches, which attach verifiable information about origin and editing to content, offer a complementary path, but depend on wide adoption and can be stripped. No single technical measure solves the problem; institutional practices and media literacy matter alongside technology.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"social\" 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 data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How the evidence is built, and where it stops.<\/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\">Detection research<\/h3><p class=\"nx-p nx-mt-1\">Developing and evaluating classifiers with <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/information-integrity\/stem\/ai-ml\/\">artificial intelligence and machine learning<\/a>. Accuracy degrades as generators improve.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Provenance standards<\/h3><p class=\"nx-p nx-mt-1\">Evaluating content credentials and watermarking. Adoption is incomplete and marks can be removed.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Behavioural research<\/h3><p class=\"nx-p nx-mt-1\">Studying how people judge authenticity with <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/information-integrity\/stem\/social-science\/\">social and behavioural science<\/a>. People overestimate their ability to spot fakes.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Incident analysis<\/h3><p class=\"nx-p nx-mt-1\">Studying real cases of synthetic media harm. Cases are often reported selectively.<\/p><\/div><\/li><\/ol><\/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:\/\/globalriskforum.com\/information-integrity\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Classifier error in moderation \u00b7 Synthetic media detection limits \u00b7 Recommender audits<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/information-integrity\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Measuring trust and exposure \u00b7 Testing interventions \u00b7 Qualitative study of information needs<\/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:\/\/globalriskforum.com\/information-integrity\/stem\/network-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Network science and contagion<\/span><span class=\"nx-mledger-role\">Detecting coordinated behaviour \u00b7 Tracing narrative spread \u00b7 Mapping media ecosystems<\/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\/network-science\/\" aria-label=\"Network science and contagion: 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\">Incident databases capture a fraction of synthetic media harms. Detection accuracy depends on the benchmark and decays as generators change. Provenance adoption counts do not show coverage of content people see. Information Integrity and Public Trust compares evidence and rules; it does not verify or detect content.<\/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\">Connected<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-and-public-services\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Related topic<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">AI and public services<\/span><span class=\"nx-dest-why\">Synthetic media governance links to technical AI and public-systems research.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are content credentials?<\/summary><div class=\"nx-answer\">Provenance information attached to digital media under the C2PA standard, recording how content was created and edited, which others can verify cryptographically.<\/div><\/details><details><summary>Can AI-generated content be reliably detected?<\/summary><div class=\"nx-answer\">Not reliably in all cases. Detectors make errors, especially on edited or compressed media, so provenance and context are used alongside detection.<\/div><\/details><details><summary>What is the liar's dividend?<\/summary><div class=\"nx-answer\">The benefit to people who dismiss genuine evidence as fake, made easier when the public knows realistic synthetic media exist.<\/div><\/details><details><summary>Can AI-generated content always be detected?<\/summary><div class=\"nx-answer\">No. Detection tools have significant error rates and become less reliable as generation improves. They are best used alongside provenance and human verification.<\/div><\/details><details><summary>Is all AI-generated content harmful?<\/summary><div class=\"nx-answer\">No. Generative AI has many legitimate uses. The concern is deceptive use and the erosion of trust in authentic content.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Information Integrity and Public Trust.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/information-integrity\/topics\/misinformation-and-disinformation\/\">Misinformation and disinformation <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:\/\/globalriskforum.com\/information-integrity\/topics\/institutional-trust\/\">Institutional 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><a href=\"https:\/\/globalriskforum.com\/information-integrity\/topics\/crisis-information\/\">Crisis information <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:\/\/globalriskforum.com\/information-integrity\/topics\/platforms-and-media-systems\/\">Platforms and media systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/information-integrity\/topics\/science-communication\/\">Science communication <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:\/\/globalriskforum.com\/information-integrity\/topics\/community-information\/\">Community information <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:\/\/globalriskforum.com\/information-integrity\/\">Information Integrity and Public Trust 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:\/\/globalriskforum.com\/information-integrity\/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:\/\/globalriskforum.com\/\">The Global Risks Forum 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:\/\/globalriskforum.com\/trust\/\">GRF governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Information Integrity and Public Trust<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@globalriskforum.com?subject=Information%20Integrity%20and%20Public%20Trust%3A%20AI%20generated%20information\">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:\/\/globalriskforum.com\/information-integrity\/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:\/\/globalriskforum.com\/information-integrity\/topics\/ai-generated-information\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/information-integrity\/topics\/ai-generated-information\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What are content credentials?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Provenance information attached to digital media under the C2PA standard, recording how content was created and edited, which others can verify cryptographically.\"}},{\"@type\":\"Question\",\"name\":\"Can AI-generated content be reliably detected?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Not reliably in all cases. 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