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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2ag1ja3.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Artificial Intelligence and Autonomous Systems<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Social science of AI<\/h1><p class=\"nx-scene-lede\">Social and behavioural science studies how people use, trust and are affected by AI. In this field it supplies surveys, experiments and qualitative research on <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 human-oversight\" data-tk=\"Nexus risk vocabulary\" data-td=\"Arrangements that keep competent people able to understand, monitor and override automated decisions.\" data-ts=\"NRS-C1\" data-tr=\"draft\">human oversight<\/a>, public attitudes, labour effects and the experience of people subject to algorithmic decisions.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/\">Back to STEM foundation of Artificial Intelligence and Autonomous Systems<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Social science of AI on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"workbench\"><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">STEM method<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Social and behavioural science<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/\">Society and Human Development<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Artificial Intelligence and Autonomous <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">Systems<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">3 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">3 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What social and behavioural science does here.<\/h2><p class=\"nx-lede\">Social and behavioural science studies how individuals, groups and institutions think, act and organise. It explains vulnerability, <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 risk-perception\" data-tk=\"Nexus risk vocabulary\" data-td=\"The subjective judgement people make about the nature and severity of a risk, shaped by experience, values and trust.\" data-ts=\"NRS-C1\" data-tr=\"draft\">risk perception<\/a>, compliance and collective response to shocks. In artificial intelligence and data and compute, social science identifies who is exposed and less able to cope, and why warnings are or are not acted upon. It informs equitable design of policies and interventions across interconnected risks. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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><\/div><h3 class=\"nx-h3 nx-mt-2\">Human oversight studies<\/h3><p class=\"nx-p nx-mt-1\">Experiments test whether people reviewing AI outputs catch errors or defer to the system, and how interface design changes that.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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 9a2 2 0 0 1-2 2H6l-4 4V4c0-1.1.9-2 2-2h8a2 2 0 0 1 2 2z\"\/><path d=\"M18 9h2a2 2 0 0 1 2 2v11l-4-4h-6a2 2 0 0 1-2-2v-1\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Affected community research<\/h3><p class=\"nx-p nx-mt-1\">Interviews and participatory research with people subject to algorithmic decisions document their experience and what accountability they need.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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=\"M3 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Workplace adoption studies<\/h3><p class=\"nx-p nx-mt-1\">Surveys and field studies measure how workers use AI tools and how tasks, productivity and job quality change.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Survey analysis.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-ai-method-survey\" data-cx=\"ai.method-survey\" data-variant=\"section\" aria-label=\"Survey analysis: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Survey analysis<\/h3><p class=\"nx-fk-sub\">AI and autonomous systems \u00b7 Social science of AI \u00b7 Run R-1790<\/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&#8217;s values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Estimates stable<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Artificial Intelligence and Autonomous Systems<\/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\">Estimates<\/h4><p class=\"nx-fk-panel-sub\">robust standard errors<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-ai-method-survey-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-ai-method-survey-t0\" aria-label=\"Estimates\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Term<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Estimate<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Std error<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">95 pct interval<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Sig.<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-ai-method-survey:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Models in registry<\/td><td data-num=\"true\" data-sv=\"0.28\">0.28<\/td><td data-num=\"true\" data-sv=\"0.09\">0.09<\/td><td>[\u22120.1, 0.3]<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-method-survey:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Evaluations passed at release<\/td><td data-num=\"true\" data-sv=\"-0.04\">\u22120.04<\/td><td data-num=\"true\" data-sv=\"0.02\">0.02<\/td><td>[\u22120.3, 0.2]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-method-survey:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Open AI incidents<\/td><td data-num=\"true\" data-sv=\"0.36\">0.36<\/td><td data-num=\"true\" data-sv=\"0.04\">0.04<\/td><td>[0.0, 0.7]<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-method-survey:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Agent actions needing approval<\/td><td data-num=\"true\" data-sv=\"0.09\">0.09<\/td><td data-num=\"true\" data-sv=\"0.02\">0.02<\/td><td>[\u22120.1, 0.5]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Method card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Social and behavioural science<\/dd><\/div><div><dt>Sample<\/dt><dd>5881 obs<\/dd><\/div><div><dt>Design<\/dt><dd>stratified, weighted<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>MODELLED<\/span><\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Residuals by group<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 210\" width=\"520\" height=\"210\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Residuals by group\" data-fk-chart=\"cx-ai-method-survey-c2\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Survey analysis: the screen&#8217;s structure, terms and states for AI and autonomous systems.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" 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\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by social and behavioural science on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Experimental data<\/td><td data-label=\"Role\">Oversight behaviour<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Interview records<\/td><td data-label=\"Role\">Affected experience<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Worker surveys<\/td><td data-label=\"Role\">Adoption<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/stem\/social-science\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/stem\/social-science\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How Social science of AI is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"method-panel\"><h3 class=\"nx-h4\">Model, equations and assumptions<\/h3><p class=\"nx-p nx-au-what\">The model structure used for Social science of AI, the assumptions it makes and how each is tested.<\/p><div class=\"nx-au-eqs\"><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Risk of element i<\/span><code>R<sub>i<\/sub> = f(H<sub>i<\/sub>, E<sub>i<\/sub>, V<sub>i<\/sub>, C<sub>i<\/sub>)<\/code><span class=\"nx-au-n\">hazard, exposure, vulnerability and coping capacity<\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Expected annual loss<\/span><code>EAL = &#8721;<sub>k<\/sub> p<sub>k<\/sub> &#183; L<sub>k<\/sub><\/code><span class=\"nx-au-n\">over events k with annual probability p<sub>k<\/sub><\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Coupled systems<\/span><code>x<sub>t+1<\/sub> = A x<sub>t<\/sub> + B u<sub>t<\/sub> + &#949;<sub>t<\/sub><\/code><span class=\"nx-au-n\">A carries the couplings, u the shock, &#949; the error<\/span><\/div><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Assumption<\/th><th scope=\"col\">Why it is made<\/th><th scope=\"col\">How it is tested<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Assumption\">Hazard and exposure are independent within an event<\/td><td data-label=\"Why it is made\">Keeps the loss integral tractable<\/td><td data-label=\"How it is tested\">Compare with a copula fit on joint records<\/td><\/tr><tr><td data-label=\"Assumption\">Couplings are linear near the operating point<\/td><td data-label=\"Why it is made\">Lets shocks propagate through A<\/td><td data-label=\"How it is tested\">Perturb beyond the linear range and compare<\/td><\/tr><tr><td data-label=\"Assumption\">Vulnerability curves transfer between places<\/td><td data-label=\"Why it is made\">Local curves are rarely available<\/td><td data-label=\"How it is tested\">Validate against observed losses where they exist<\/td><\/tr><\/tbody><\/table><\/div><dl class=\"nx-au-kv\"><div><dt>Inputs<\/dt><dd>versioned datasets with provenance<\/dd><\/div><div><dt>Outputs<\/dt><dd>distributions, never single numbers<\/dd><\/div><div><dt>Code<\/dt><dd>released with the model card and tests<\/dd><\/div><div><dt>Reproduction<\/dt><dd>same data, code, environment and seed<\/dd><\/div><\/dl><figcaption class=\"nx-caption\"><span>Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Ethics review<\/td><td data-label=\"How it is done\">Research with participants passes ethics review with informed consent<\/td><\/tr><tr><td data-label=\"Check\">Pre-registration<\/td><td data-label=\"How it is done\">Experimental hypotheses and analyses are registered in advance<\/td><\/tr><tr><td data-label=\"Check\">Representative sampling<\/td><td data-label=\"How it is done\">Surveys state their sampling frame and weighting<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.<\/p><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Process<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-prisma\" data-nx-pe=\"nx-pe-prisma\" data-active=\"prisma\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Social science of AI: PRISMA 2020 review reporting<\/h2><p class=\"nx-pe-cap\">PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Plan<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Registration and protocol<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for registration details, access to the protocol and any amendments.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Eligibility criteria<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the inclusion and exclusion criteria and how studies were grouped.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Find and select<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Search: sources and strategies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the information sources and the full search strategies. It does not fix which sources are used.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Selection of studies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Flow diagram<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Analyse<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Data collection<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how data were collected from reports and which data items were sought.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Risk of bias<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods and tools used to assess risk of bias.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\">Synthesis<\/span><span class=\"nx-pe-k\">Model \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">Certainty of evidence<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Report<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Review report<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The guideline helps authors report why the review was done, what they did and what they found.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\" rel=\"noopener\">Reports<\/a><\/span><span>Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><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\">Connections<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/model-evaluation\/\"><span>Model evaluation<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-and-public-services\/\"><span>AI and public services<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/\"><span>Labour and social effects<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><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\">Stewardship<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/\">Society and Human Development<\/a> stewards social and behavioural science for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">Canonical page: Social and behavioural science<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-10\"><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\">Connected<\/span><\/div><h2 id=\"nx-s-10\" 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\/human-development\/stem\/social-science\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Social science methods<\/span><span class=\"nx-dest-why\">Society and Human Development stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-11\"><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\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of social and behavioural science in this field?<\/summary><div class=\"nx-answer\">Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method&#8217;s use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\">Reports is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Artificial Intelligence and Autonomous Systems<\/span><span class=\"nx-chip\">Exponential Technology<\/span><span class=\"nx-chip\">Labs Evidence<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/ai-autonomous-systems\/stem\/social-science#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-global-ai-autonomous-systems-stem-social-science-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-global-ai-autonomous-systems-stem-social-science-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-global-ai-autonomous-systems-stem-social-science-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/use-by\/un-agencies#what-un-entities-are-trying-to-do\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> UN agencies and programmes<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/technology-digital\/artificial-intelligence\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Artificial intelligence and machine learning<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/digital-ai\/cyber-and-digital-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Cyber and digital risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><h2 id=\"nx-close-12\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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=\"https:\/\/therisk.global\/ai-autonomous-systems\/write-to-us\/research-collaboration\/\">Propose a method <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-legal-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Legal<\/span><h2 id=\"nx-legal-13\" class=\"nx-h3 nx-mt-2\">Legal documents.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Legal documents\"><a href=\"https:\/\/therisk.global\/legal\/terms\/\">Platform Terms of Use <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/privacy\/\">Platform Privacy Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/cookies\/\">Platform Cookie and Storage Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/legal-notice\/\">Legal Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/acceptable-use\/\">Acceptable Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/participation-terms\/\">Participation and Events Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/contribution-terms\/\">Contribution Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/research-and-data-terms\/\">Research and Data Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/ai-use\/\">AI-use Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/intellectual-property\/\">Intellectual Property and Licensing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/trademark-policy\/\">Trademark and Name Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/disclaimer\/\">Disclaimers and Data Notices <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/corrections\/\">Corrections and Right of Reply Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/complaints-and-integrity\/\">Complaints and integrity reporting <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/security\/\">Security and responsible disclosure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/code-of-conduct\/\">Code of Conduct <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/accessibility\/\">Accessibility Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/third-party-notices\/\">Third-party notices and attributions <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><p class=\"nx-note nx-mt-3\">Maps, data and figures on this site are shown for context and general information. 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