{"id":41,"date":"2026-11-01T13:26:43","date_gmt":"2026-11-01T13:26:43","guid":{"rendered":"https:\/\/globalriskforum.com\/ai-digital-governance\/?page_id=41"},"modified":"2026-11-01T13:26:43","modified_gmt":"2026-11-01T13:26:43","slug":"ai-ml","status":"publish","type":"page","link":"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/","title":{"rendered":"Artificial intelligence and machine learning for AI and digital governance"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script>window.nexusLiveStrings={\"label\":\"Load the live map\",\"note\":\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};<\/script><script>(function(){\"use strict\";var n=window,l=document,y=\"nexus.live-map\",$=\"nexus.live-map.reload\";if(n.NXLive){return}var E=[\/(^|\\.)gibs\\.earthdata\\.nasa\\.gov$\/i,\/(^|\\.)eonet\\.gsfc\\.nasa\\.gov$\/i,\/(^|\\.)power\\.larc\\.nasa\\.gov$\/i,\/(^|\\.)earthquake\\.usgs\\.gov$\/i,\/(^|\\.)open-meteo\\.com$\/i,\/(^|\\.)openfreemap\\.org$\/i,\/(^|\\.)openstreetmap\\.org$\/i,\/(^|\\.)cartocdn\\.com$\/i,\/(^|\\.)arcgisonline\\.com$\/i,\/(^|\\.)maplibre\\.org$\/i,\/(^|\\.)protomaps\\.com$\/i,\/(^|\\.)versatiles\\.org$\/i,\/(^|\\.)amazonaws\\.com$\/i,\/(^|\\.)raw\\.githubusercontent\\.com$\/i,\/(^|\\.)media\\.githubusercontent\\.com$\/i,\/(^|\\.)geoboundaries\\.org$\/i,\/(^|\\.)jsdelivr\\.net$\/i,\/(^|\\.)unpkg\\.com$\/i,\/(^|\\.)cdn[j]s\\.cloudflare\\.com$\/i,\/(^|\\.)googleapis\\.com$\/i,\/(^|\\.)gstatic\\.com$\/i];var C=[\/(^|\\.)amazonaws\\.com$\/i];var b=n.nexusLiveStrings?n.nexusLiveStrings:{};var A={label:b.label?b.label:\"Load the live map\",note:b.note?b.note:\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};var I=[\"experience\",\"external\",\"optional-content\",\"embeds\",\"media\"];var p=[],u=[],k=0;function j(){try{if(n.localStorage.getItem(y)===\"1\"){return true}}catch(e){}try{return n.sessionStorage.getItem(y)===\"1\"}catch(e){return false}}function S(){var e=n.nexusConsent;if(!e){return null}return typeof e.allows===\"function\"?e:null}function z(){var e=n.nexusConsent;if(!e){return false}if(typeof e.granted!==\"function\"){return false}for(var t=0;t<I.length;t++){try{if(e.granted(I[t])){return true}}catch(r){}}return false}function d(e){var t=S();if(t){try{return t.allows(e?e:\"maps\")===true}catch(r){return false}}return j()?true:z()}function D(e){try{var t=e?typeof e===\"string\"?e:e.url?e.url:e.href?e.href:String(e):\"\";var r=new URL(t,l.baseURI);if(r.protocol!==\"http:\"){if(r.protocol!==\"https:\"){return\"\"}}return r.origin===n.location.origin?\"\":r.hostname}catch(o){return\"\"}}function X(e){for(var t=0;t<C.length;t++){if(C[t].test(e)){return\"globe\"}}return\"maps\"}function f(e){var t=D(e);if(!t){return false}var r=false;for(var o=0;o<E.length;o++){if(E[o].test(t)){r=true;break}}if(!r){return false}if(d(X(t))){return false}k++;return true}var w=0;function c(){if(w){return}w=setTimeout(function(){w=0;L()},250)}function v(e){setTimeout(function(){try{e.dispatchEvent(new Event(\"error\"))}catch(t){}},0)}var N=n.fetch;if(N){n.fetch=function(e){if(f(e)){c();return Promise.reject(new TypeError(\"Blocked until the live map is loaded\"))}return N.apply(this,arguments)}}var g=n.XMLHttpRequest?n.XMLHttpRequest.prototype:null;if(g){var K=g.open,_=g.send;g.open=function(e,t){this.__nxLiveUrl=t;return K.apply(this,arguments)};g.send=function(){if(f(this.__nxLiveUrl)){c();v(this);return}return _.apply(this,arguments)}}var h=n.HTMLImageElement?Object.getOwnPropertyDescriptor(n.HTMLImageElement.prototype,\"src\"):null;if(h){if(h.set){Object.defineProperty(n.HTMLImageElement.prototype,\"src\",{configurable:true,enumerable:h.enumerable,get:h.get,set:function(e){if(f(e)){c();v(this);return}h.set.call(this,e)}})}}var O=n.Element?n.Element.prototype.setAttribute:null;if(O){n.Element.prototype.setAttribute=function(e,t){if(e===\"src\"){if(this.tagName===\"IMG\"){if(f(t)){c();v(this);return}}}return O.apply(this,arguments)}}function M(e){if(!e){return false}if(e.tagName===\"SCRIPT\"){return f(e.src)}if(e.tagName===\"LINK\"){return f(e.href)}return false}if(n.Node){var G=n.Node.prototype.appendChild,Y=n.Node.prototype.insertBefore;n.Node.prototype.appendChild=function(e){if(M(e)){c();v(e);return e}return G.apply(this,arguments)};n.Node.prototype.insertBefore=function(e){if(M(e)){c();v(e);return e}return Y.apply(this,arguments)}}var R='[data-nx-map=\"ctx-field\"],[data-nx-le],[data-nx-eo],[data-grx-globe],[data-grx-obs]';function T(){var e=[l];var t=l.querySelectorAll(\"*\");for(var r=0;r<t.length;r++){if(t[r].shadowRoot){e.push(t[r].shadowRoot)}}return e}function B(){var e=S();if(e){if(typeof e.enable===\"function\"){try{e.enable(\"maps\",\"site\")}catch(t){}try{e.enable(\"globe\",\"site\")}catch(t){}m();return}}try{n.localStorage.setItem(y,\"1\")}catch(t){try{n.sessionStorage.setItem(y,\"1\")}catch(r){}}m()}function F(e,t){var r=e.createElement(\"button\");r.type=\"button\";r.textContent=A.label;r.setAttribute(\"style\",\"pointer-events:auto;min-height:44px;min-width:44px;padding:0 18px;cursor:pointer;font:inherit;font-weight:600;font-size:14px;line-height:1.2;border-radius:2px;border:1px solid var(--nx-border-strong,#8a8a8a);background:var(--nx-text-primary,#111);color:var(--nx-bg-canvas,#fff)\");var o=\"nx-live-note-\"+Math.floor(Math.random()*1e9);r.setAttribute(\"aria-describedby\",o);r.addEventListener(\"click\",B);r.addEventListener(\"focus\",function(){r.style.outline=\"2px solid var(--nx-focus,#4c9aff)\";r.style.outlineOffset=\"2px\"});r.addEventListener(\"blur\",function(){r.style.outline=\"\"});var a=e.createElement(\"span\");a.id=o;a.textContent=A.note;a.setAttribute(\"style\",\"pointer-events:none;font-size:12px;line-height:1.4;padding:3px 7px;border-radius:2px;background:var(--nx-bg-canvas,#fff);color:var(--nx-text-secondary,#333);border:1px solid var(--nx-border-hairline,#bbb);max-width:34em\");t.appendChild(r);t.appendChild(a)}function W(e){var t=e.ownerDocument;var r=t.createElement(\"div\");r.className=\"nx-live-gate\";r.setAttribute(\"style\",\"position:absolute;inset-block-start:10px;inset-inline-start:10px;z-index:6;display:flex;flex-direction:column;align-items:flex-start;gap:6px;max-width:calc(100% - 20px);pointer-events:none;font:inherit\");var o=S();var a=false;if(o){if(typeof o.placeholder===\"function\"){try{var s=t.createElement(\"div\");s.setAttribute(\"style\",\"pointer-events:auto\");r.appendChild(s);o.placeholder(s,\"maps\");a=s.childNodes.length>0;if(!a){r.removeChild(s)}}catch(i){a=false}}}if(!a){F(t,r)}return r}function L(){if(d(\"maps\")){return}var e=T();for(var t=0;t<e.length;t++){var r=e[t].querySelectorAll(R);for(var o=0;o<r.length;o++){var a=r[o];if(a.getAttribute(\"data-nx-live-gate\")){continue}if(a.closest(\".nx-live-gate\")){continue}var s=a.getBoundingClientRect();if(s.width<120){continue}var i=a.querySelector(\".le-stage,.eo-stage\");if(!i){if(a.hasAttribute(\"data-nx-le\")||a.hasAttribute(\"data-nx-eo\")){continue}i=a}a.setAttribute(\"data-nx-live-gate\",\"1\");var H=n.getComputedStyle(i);if(H.position===\"static\"){i.style.position=\"relative\"}var U=W(i);i.appendChild(U);u.push({host:a,wrap:U,stage:i})}}J()}function J(){for(var e=0;e<u.length;e++){var t=u[e].stage,r=t?t.querySelector(\".nx-wm-presets\"):null;var o=r?r.getBoundingClientRect():null;if(o?o.height>0:false){var a=Math.round(o.bottom-t.getBoundingClientRect().top+8)+\"px\";if(u[e].wrap.style.insetBlockStart!==a){u[e].wrap.style.insetBlockStart=a}}}}function Q(){for(var e=0;e<u.length;e++){try{u[e].wrap.remove()}catch(t){}try{u[e].host.removeAttribute(\"data-nx-live-gate\")}catch(t){}}u=[]}function V(e,t,r){p.push({name:e,selector:t,fn:r});if(x){try{r(\"on\")}catch(o){}}}function Z(e){for(var t=0;t<p.length;t++){try{p[t].fn(e)}catch(r){}}}function ee(){var e=[],t=T();for(var r=0;r<t.length;r++){var o=t[r].querySelectorAll(R);for(var a=0;a<o.length;a++){var s=false;for(var i=0;i<p.length;i++){try{if(o[a].matches(p[i].selector)){s=true;break}}catch(H){}}if(!s){e.push(o[a])}}}return e}function te(e){if(k===0){return}if(ee().length===0){return}var t=e?\"on\":\"off\";try{if(n.sessionStorage.getItem($)===t){return}n.sessionStorage.setItem($,t)}catch(r){return}n.location.reload()}var x=d(\"maps\");function m(){var e=d(\"maps\");if(e===x){if(!e){c()}return}x=e;if(e){Q()}Z(e?\"on\":\"off\");if(!e){c()}try{l.dispatchEvent(new CustomEvent(\"nexus:live-map\",{detail:{granted:e}}))}catch(t){}te(e)}function q(){L();if(n.MutationObserver){var e=new n.MutationObserver(function(){if(x){return}c()});e.observe(l.documentElement,{childList:true,subtree:true});setTimeout(function(){e.disconnect()},2e4)}}if(l.readyState===\"loading\"){l.addEventListener(\"DOMContentLoaded\",q)}else{q()}n.addEventListener(\"load\",function(){setTimeout(L,400)});l.addEventListener(\"nexus-consent:ready\",m);l.addEventListener(\"nexus-consent:change\",m);var P=0;var re=setInterval(function(){P++;m();if(P>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();<\/script><style>.clb-color-switcher, .bx-color-mode-toggle, .color-switcher, .page-headline { display: none !important; }<\/style><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\" data-nx-src=\"nexus-embed-fig.e0043d1c48f4.js\" data-nx-sri=\"sha256-4AQ9HEj0t7DeCXoXRqlCRLwincTWj8Q0KfAo+eCw1Xc=\"><\/script><script data-digest=\"1HDcdXHFCxvm20tlR9FHTN8XvrJhNFlbW03tKxwWJ8I=\" type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-es-load\" data-nx-run=\"estates\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-assets\">{\"nxe-es-code\":{\"f\":\"es-code.d470dc7571c5.txt\",\"s\":\"sha256-1HDcdXHFCxvm20tlR9FHTN8XvrJhNFlbW03tKxwWJ8I=\",\"a\":\"\"},\"nxe-gl-base-od\":{\"f\":\"gl-base-od.e0622a96e899.txt\",\"s\":\"sha256-4GIqluiZJntyAGfMYGNoAXwwxMKhdab+7YEFBoLlZ5o=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-context\":{\"f\":\"map-context.a965226720a1.txt\",\"s\":\"sha256-qWUiZyChbKiTtLWpFCZROVpB5QISXNBKfepOJ+zOkWA=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-pool\":{\"f\":\"map-pool.c31dae84875a.txt\",\"s\":\"sha256-wx2uhIda8fEz4BK1sUQO7edPcs22Bvn4FE0NpYLDyEo=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-ml-src-code\":{\"f\":\"ml-src-code.5a99eb24c979.txt\",\"s\":\"sha256-WpnrJMl5+Rt6GCPchYzz9V8Fw\/mt0BVdtedF3t\/o0+o=\",\"a\":\"\"},\"nxe-xt-code\":{\"f\":\"xt-code.371023489e89.txt\",\"s\":\"sha256-NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\",\"a\":\"\"}}<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\">if(typeof window.__nxStill!==\"function\")window.__nxStill=function(){try{if(document.documentElement.hasAttribute(\"data-nx-still\"))return true;if(document.body?\/(?:^|\\s)mdp-readabler-stop-animations(?:\\s|$)\/.test(document.body.className):false)return true;var g=JSON.parse(window.localStorage.getItem(\"readabler\")||\"{}\");return g?g.stopAnimations===true||g.stopAnimations===\"true\"||g.stopAnimations===1:false}catch(G){return false}};(function(){function g(e,a){var f=atob(e),s=new Uint8Array(f.length),r;for(r=0;r< f.length;r++){s[r]=f.charCodeAt(r)}var o=0,i=0,u=0,n=new Uint8Array(Math.max(1024,s.length*6)),t=0;var c=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var d=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var m=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var y=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var ct=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function b(w){while(u< w){if(o>=s.length){throw new Error(\"nx-inflate: truncated\")}i|=s[o++]<< u;u+=8}var h=i%(1<< w);i>>>=w;u-=w;return h}function S(w,h,A){var v=new Uint16Array(16),_=new Uint16Array(16),p=new Uint16Array(A),x;for(x=0;x< A;x++){v[w[h+x]]++}v[0]=0;for(x=1;x<16;x++){_[x]=_[x-1]+v[x-1]}for(x=0;x< A;x++){if(w[h+x]){p[_[w[h+x]]++]=x}}return{count:v,sym:p}}function X(w){var h=0,A=0,v=0,_,p;for(_=1;_<16;_++){h|=b(1);p=w.count[_];if(h-p< A){return w.sym[v+(h-A)]}v+=p;A+=p;A<<=1;h<<=1}throw new Error(\"nx-inflate: bad code\")}function B(w){if(t+w<=n.length){return}var h=new Uint8Array(Math.max(n.length*2,t+w));h.set(n.subarray(0,t));n=h}var j=null,W=null,Y=0;while(!Y){Y=b(1);var q=b(2),J,H;if(q===0){i=0;u=0;var D=s[o]|s[o+1]<<8;o+=4;B(D);n.set(s.subarray(o,o+D),t);t+=D;o+=D;continue}if(q===1){if(!j){var Z=new Uint8Array(288),k=new Uint8Array(30);for(r=0;r<288;r++){Z[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){k[r]=5}j=S(Z,0,288);W=S(k,0,30)}J=j;H=W}else if(q===2){var F=b(5)+257,tt=b(5)+1,dt=b(4)+4,N=new Uint8Array(320),nt=new Uint8Array(19);for(r=0;r< dt;r++){nt[ct[r]]=b(3)}var lt=S(nt,0,19),U=0;while(U< F+tt){var O=X(lt),R=0,et=0;if(O<16){N[U++]=O;continue}if(O===16){if(!U){throw new Error(\"nx-inflate: bad repeat\")}et=N[U-1];R=3+b(2)}else if(O===17){R=3+b(3)}else{R=11+b(7)}while(R--){N[U++]=et}}J=S(N,0,F);H=S(N,F,tt)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var E=X(J);if(E<256){B(1);n[t++]=E;continue}if(E===256){break}E-=257;var rt=c[E]+b(d[E]),at=X(H),it=m[at]+b(y[at]);if(it>t){throw new Error(\"nx-inflate: bad distance\")}B(rt);for(var ot=0;ot< rt;ot++){n[t]=n[t-it];t++}}}return a?n.subarray(0,t):new TextDecoder(\"utf-8\").decode(n.subarray(0,t))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=g}function G(e){var a=g(e,true),f=a[0]|a[1]<<8|a[2]<<16|a[3]<<24;var s=a.subarray(4+f);function r(o,i){var u=\"\",n=s.subarray(o,o+i);for(var t=0;i>t;t+=8192){u+=String.fromCharCode.apply(null,n.subarray(t,t+8192))}return btoa(u)}return JSON.parse(new TextDecoder(\"utf-8\").decode(a.subarray(4,4+f)),function(o,i){return i?i.$b?r(i.$b[0],i.$b[1]):i:i})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=G}if(typeof window.__nxLate!==\"function\"){window.__nxLate=function(e,a){if(document.readyState!==\"loading\"){return null}if(!document.querySelector('template[data-nx-libs-last~=\"'+e+'\"]')){return null}return new Promise(function(f,s){document.addEventListener(\"DOMContentLoaded\",function(){var r=a();if(r){f(r)}else{s(new Error(\"nx-late: \"+e))}},{once:true})})}}if(typeof window.__nxAsset!==\"function\"){var I={};window.__nxAsset=function(e,a){if(I[e]){return I[e]}var f=document.getElementById(\"nxe-boot\"),s=[],r=window.NX_ASSET_BASE,o=f?f.getAttribute(\"data-nx-asset-base\"):\"\";if(r){s.push(String(r))}if(o){s.push(o)}s.push(\"\/wp-content\/uploads\/nexus-assets\/\");function i(t){if(!a){return t}return crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(t)).then(function(c){if(\"sha256-\"+btoa(String.fromCharCode.apply(null,new Uint8Array(c)))!==a){throw new Error(\"nx-asset: integrity\")}return t})}function u(t){if(t>=s.length){return Promise.reject(new Error(\"nx-asset: \"+e))}var c=s[t].charAt(s[t].length-1)===\"\/\"?s[t]:s[t]+\"\/\";return fetch(c+e,{credentials:\"omit\"}).then(function(d){if(!d.ok){throw new Error(\"nx-asset: \"+d.status)}return d.text()}).then(i).then(null,function(){return u(t+1)})}var n=u(0);I[e]=n;n.then(null,function(){delete I[e]});return n}}if(typeof window.__nxText!==\"function\"){window.__nxText=function(e){if(!e){return Promise.reject(new Error(\"nx-text: none\"))}var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\")}return Promise.resolve(e.textContent)}}function ut(e){var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\").then(function(n){return window.__nxInflate(n)})}var f=e.getAttribute(\"data-nx-src\");if(f?!e.textContent:false){var s=window.NX_RUNTIME||{},r=s.base||window.NX_RUNTIME_BASE||\"\",o=(s.files||{})[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null,i=[];if(r){i.push([r+f,e.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){i.push([o.url,o.sri||\"\"])}var u=function(n){if(n>=i.length){return Promise.reject(new Error(\"nx-lazy: \"+f))}var t={credentials:\"same-origin\"};if(i[n][1]){t.integrity=i[n][1]}return fetch(i[n][0],t).then(function(c){if(!c.ok){throw new Error(\"nx-lazy: \"+c.status)}return c.text()}).then(null,function(){return u(n+1)})};return u(0)}return Promise.resolve(window.__nxInflate(e.textContent))}function st(e){var a=e[0].getAttribute(\"data-nx-on-sight\")||\"[data-nx-map]\",f=null,s=false;function r(){if(s){return}s=true;if(f){f.disconnect()}var i=document.querySelectorAll(\"script[data-nx-on-sight][data-nx-asset]:not([data-nx-run])\"),u=[];for(var n=0;n!==i.length;n++){(function(t){if(t.textContent){return}u.push(window.__nxAsset(t.getAttribute(\"data-nx-asset\"),t.getAttribute(\"data-nx-sri\")||\"\").then(function(c){t.textContent=c;t.removeAttribute(\"data-nx-asset\")},function(){t.setAttribute(\"data-nx-ran\",\"failed\")}))})(i[n])}Promise.all(u.concat(e.map(function(t){return ut(t).then(null,function(){return null})}))).then(function(t){var c=t.slice(u.length);for(var d=0;d!==e.length;d++){if(c[d]===null){e[d].setAttribute(\"data-nx-ran\",\"failed\");continue}var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",e[d].getAttribute(\"data-nx-run\"));m.textContent=c[d];(document.head||document.documentElement).appendChild(m);e[d].setAttribute(\"data-nx-ran\",\"true\")}try{document.dispatchEvent(new CustomEvent(\"nexus:lazy-ready\"))}catch(y){}})}function o(){if(s){return}var i=[document],u=document.querySelectorAll(\".nxe-host\"),n=[],t,c;for(t=0;t!==u.length;t++){if(u[t].shadowRoot){i.push(u[t].shadowRoot)}}for(t=0;t!==i.length;t++){c=i[t].querySelectorAll(a);for(var d=0;d!==c.length;d++){n.push(c[d])}}if(!n.length){return}if(!window.IntersectionObserver){r();return}f=f||new IntersectionObserver(function(m){for(var y=0;y!==m.length;y++){if(m[y].isIntersecting){r();return}}},{rootMargin:\"800px 0px 800px 0px\"});for(t=0;t!==n.length;t++){if(!n[t].__nxLazySeen){n[t].__nxLazySeen=true;f.observe(n[t])}}}document.addEventListener(\"DOMContentLoaded\",o);document.addEventListener(\"nexus:runtime-ready\",o);window.addEventListener(\"load\",o);setTimeout(o,0)}var K=document.querySelectorAll(\"script[data-nx-run]\"),C=[],$=[];for(var z=0;z< K.length;z++){var l=K[z];if(l.hasAttribute(\"data-nx-ran\")){continue}if(l.hasAttribute(\"data-nx-on-sight\")){l.setAttribute(\"data-nx-ran\",\"waiting\");$.push(l);continue}if(l.hasAttribute(\"data-nx-src\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}if(l.hasAttribute(\"data-nx-asset\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}l.setAttribute(\"data-nx-ran\",\"true\");try{var L=document.createElement(\"script\");L.className=\"_iub_cs_skip\";L.setAttribute(\"data-nx-runtime\",l.getAttribute(\"data-nx-run\"));L.textContent=window.__nxInflate(l.textContent);(document.head||document.documentElement).appendChild(L)}catch(e){l.setAttribute(\"data-nx-ran\",\"failed\")}}if($.length){st($)}if(!C.length){return}var Q=window.NX_RUNTIME||{},V=Q.base||window.NX_RUNTIME_BASE||\"\",T=window.__nxMount,P=[];if(typeof T===\"function\"){window.__nxMount=function(e){P.push(e)}}function ft(){if(typeof T===\"function\"){window.__nxMount=T;for(var e=0;e< P.length;e++){try{T(P[e])}catch(a){}}}try{document.dispatchEvent(new CustomEvent(\"nexus:runtime-ready\"))}catch(a){}}function M(e){if(e>=C.length){ft();return}var a=C[e],f=a.getAttribute(\"data-nx-src\")||\"\",s=Q.files||{},r=[];if(a.hasAttribute(\"data-nx-asset\")){window.__nxAsset(a.getAttribute(\"data-nx-asset\"),a.getAttribute(\"data-nx-sri\")||\"\").then(function(u){var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));n.textContent=window.__nxInflate(u);(document.head||document.documentElement).appendChild(n);a.setAttribute(\"data-nx-ran\",\"true\")}).then(null,function(){a.setAttribute(\"data-nx-ran\",\"failed\")}).then(function(){M(e+1)});return}var o=s[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null;if(V){r.push([V+f,a.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){r.push([o.url,o.sri||\"\"])}function i(u){if(u>=r.length){a.setAttribute(\"data-nx-ran\",\"failed\");M(e+1);return}var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));if(r[u][1]){n.integrity=r[u][1]}n.onload=function(){a.setAttribute(\"data-nx-ran\",\"true\");M(e+1)};n.onerror=function(){if(n.parentNode){n.parentNode.removeChild(n)}i(u+1)};n.src=r[u][0];(document.head||document.documentElement).appendChild(n)}i(0)}M(0)})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-r-p03-stem-ai-ml\"><div class=\"nxe\" id=\"nxe-n1xvnra4\" data-inst=\"grf\" data-theme=\"dark\" data-grammar=\"atlas\" data-domain=\"project\" data-arche=\"method\" data-density=\"compact\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n1xvnra4.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n1xvnra4.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1xvnra4.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1xvnra4.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1xvnra4.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1xvnra4.nxe :where(ul,ol){padding-left:20px}#nxe-n1xvnra4.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1xvnra4.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1xvnra4.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1xvnra4.nxe svg{display:none}#nxe-n1xvnra4.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1xvnra4.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1xvnra4.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=\"grf\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Risks Forum\">GRF<\/abbr> \u00b7 AI and Digital Governance<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Artificial intelligence and machine learning for AI and digital governance<\/h1><p class=\"nx-scene-lede\">Artificial intelligence and machine learning are the <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> this field governs. On this platform the methods are explained so that oversight bodies, legislators and the public understand what models do, how they fail and what evidence about them can be trusted.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/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:\/\/globalriskforum.com\/ai-digital-governance\/stem\/\">Back to STEM foundation of AI and Digital Governance<\/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\">Contents<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Artificial intelligence and machine learning for AI and digital governance in five parts.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"protocol\"><div class=\"nx-hero-panel\"><div class=\"nx-lv-steps\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Protocol<\/strong><\/span><span class=\"nx-eyebrow\">5 steps<\/span><\/div><ol><li><a href=\"#nx-sec-application\"><span class=\"nx-lv-steps-n\">01<\/span><span class=\"nx-lv-steps-t\">Application<\/span><span class=\"nx-lv-steps-d\">What artificial intelligence and machine learning does here<\/span><\/a><\/li><li><a href=\"#nx-sec-data\"><span class=\"nx-lv-steps-n\">02<\/span><span class=\"nx-lv-steps-t\">Data<\/span><span class=\"nx-lv-steps-d\">What the method consumes<\/span><\/a><\/li><li><a href=\"#nx-sec-checks\"><span class=\"nx-lv-steps-n\">03<\/span><span class=\"nx-lv-steps-t\">Validation<\/span><span class=\"nx-lv-steps-d\">How results are checked<\/span><\/a><\/li><li><a href=\"#nx-sec-connections\"><span class=\"nx-lv-steps-n\">04<\/span><span class=\"nx-lv-steps-t\">Connections<\/span><span class=\"nx-lv-steps-d\">Topics that rely on this method<\/span><\/a><\/li><li><a href=\"#nx-sec-stewardship\"><span class=\"nx-lv-steps-n\">05<\/span><span class=\"nx-lv-steps-t\">Stewardship<\/span><span class=\"nx-lv-steps-d\">Who maintains the method<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"infrastructure\" aria-label=\"Application, Monitor, Data, Policy scenarios\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Application, Monitor, Data, Policy scenarios\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-application\" aria-selected=\"true\" data-key=\"p1\">Application<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-3-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-data\" aria-selected=\"false\" data-key=\"p3\">Data<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-instrument\" aria-selected=\"false\" data-key=\"p4\">Policy scenarios<\/button><\/div><section id=\"nx-sec-application\" class=\"nx-section nx-band-panel\" data-hue=\"infrastructure\" data-variant=\"band\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What artificial intelligence and machine learning does here.<\/h2><p class=\"nx-lede\">Artificial intelligence and machine learning develop algorithms that learn patterns from data to classify, predict or generate outputs. They are increasingly used for hazard detection, forecasting and decision support, and are themselves a source of risk. In artificial intelligence, digital public infrastructure and cyber and digital resilience, machine learning can scale detection and forecasting across interconnected <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>. Its own failure modes must be weighed when automated outputs inform consequential decisions. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\">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=\"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><\/div><h3 class=\"nx-h3 nx-mt-2\">How models fail in deployment<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h95\" data-tc=\"NHS-1 tech.ai-failure.distribution-shift-failure\" data-tk=\"Frontier and exponential technology \u00b7 AI system failure and misalignment\" data-td=\"A model meeting conditions unlike its training data, such as a novel disaster or market regime, and giving confident but wrong outputs exactly when reliable judgement matters most.\" data-ts=\"NRS-H95\" data-tr=\"draft\">Distribution shift<\/a>, spurious correlations and feedback loops are explained with public case records, so oversight bodies know what to ask about a system&#8217;s behaviour after deployment.<\/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 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><\/div><h3 class=\"nx-h3 nx-mt-2\">Reading model documentation<\/h3><p class=\"nx-p nx-mt-1\">Model cards, data sheets and system cards are read for what they disclose and omit about training data, evaluation and limits.<\/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=\"M12 8V4H8\"\/><rect width=\"16\" height=\"12\" x=\"4\" y=\"8\" rx=\"2\"\/><path d=\"M2 14h2\"\/><path d=\"M20 14h2\"\/><path d=\"M15 13v2\"\/><path d=\"M9 13v2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Agent architectures explained<\/h3><p class=\"nx-p nx-mt-1\">How agents chain model calls, tools and memory is described, so that permission and liability questions can be placed at the right point.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Model training.<\/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-aigov-method-ml\" data-cx=\"aigov.method-ml\" data-variant=\"section\" aria-label=\"Model training: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Model training<\/h3><p class=\"nx-fk-sub\">AI and digital governance \u00b7 Artificial intelligence \u00b7 Run R-6213<\/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=\"near\"><i aria-hidden=\"true\"><\/i>Drift on one slice<\/span><span class=\"nx-cx-prod\">GRF \u00b7 AI and Digital Governance<\/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\">Evaluation by slice<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-aigov-method-ml-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-aigov-method-ml-t0\" aria-label=\"Evaluation by slice\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Slice<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">AUC<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Calibration error<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Samples<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">State<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-aigov-method-ml:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>All<\/td><td data-num=\"true\" data-sv=\"0.85\">0.85<\/td><td data-num=\"true\" data-sv=\"0.04\">0.04<\/td><td data-num=\"true\" data-sv=\"4407\">4407<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Pass<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-method-ml:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Region A<\/td><td data-num=\"true\" data-sv=\"0.78\">0.78<\/td><td data-num=\"true\" data-sv=\"0.04\">0.04<\/td><td data-num=\"true\" data-sv=\"1829\">1829<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Review<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-method-ml:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Region B<\/td><td data-num=\"true\" data-sv=\"0.65\">0.65<\/td><td data-num=\"true\" data-sv=\"0.07\">0.07<\/td><td data-num=\"true\" data-sv=\"444\">444<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Review<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-method-ml:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Rare class<\/td><td data-num=\"true\" data-sv=\"0.74\">0.74<\/td><td data-num=\"true\" data-sv=\"0.14\">0.14<\/td><td data-num=\"true\" data-sv=\"124\">124<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Below bar<\/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>Artificial intelligence and machine learning<\/dd><\/div><div><dt>Split<\/dt><dd>time-based, no leakage<\/dd><\/div><div><dt>Features<\/dt><dd>55<\/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\">Population stability<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Population stability\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-aigov-method-ml-c2\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Drift index|ink|l||0:51.3;1:51.1;2:57.1;3:53.4;4:57.1;5:56.9;6:55.9;7:60.1;8:61.1;9:66.1;10:71.4;11:70.9;12:75.3;13:75.5;14:71.9;15:76.8;16:80.9;17:76.8;18:76.2;19:76.7;20:73;21:73.6;22:79.6;23:79.2\" 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>Model training: the screen&#8217;s structure, terms and states for AI and digital governance.<\/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 nx-band-panel\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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 artificial intelligence and machine learning on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Model and system cards<\/td><td data-label=\"Role\">Disclosed capabilities and limits<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Benchmark results<\/td><td data-label=\"Role\">Comparative capability<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Incident records<\/td><td data-label=\"Role\">Observed failures<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Research literature<\/td><td data-label=\"Role\">Methods and evidence<\/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:\/\/grf\/R-P03\/stem\/ai-ml\/#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:\/\/grf\/R-P03\/stem\/ai-ml\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Policy scenarios<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Compare instruments: rules, incentives and information.<\/h2><p class=\"nx-lede\">Three families of instruments side by side against the baseline, each with its own lag and adoption speed, under the coverage and compliance you set; effect sizes are teaching values to replace with evidence. Scenario: named assumptions about the future, not a forecast.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-ai-digital-governance-stem-ai-ml-0\" data-nxi=\"policy\" data-nxi-id=\"policy\" data-nxi-z=\"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\" aria-label=\"Compare instruments: rules, incentives and information\"><div class=\"nx-in-body\"><div class=\"nx-in-main\"><div class=\"nx-in-tabs\" data-nxi-tabs=\"true\" aria-label=\"Views of the model\" hidden><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"result\">Result<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"fan\">Uncertainty<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"tornado\">Sensitivity<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"loops\">Loops<\/button><\/div><div class=\"nx-in-stage\" id=\"nx-in-ai-digital-governance-stem-ai-ml-0-stage\" data-nxi-stage=\"true\" data-view=\"result\"><svg class=\"nx-in-svg\" viewBox=\"0 0 720 340\" role=\"img\" aria-label=\"Outcome by option\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-in-tip\" data-nxi-tip=\"true\" aria-live=\"polite\"><\/p><div class=\"nx-in-bar\" data-nxi-bar=\"true\" role=\"group\" aria-label=\"Play over time\" hidden><button type=\"button\" class=\"nx-in-btn\" data-nxi-prev=\"true\" aria-label=\"Step back\">&#8249;<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-play=\"true\" aria-pressed=\"false\">Play<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-next=\"true\" aria-label=\"Step forward\">&#8250;<\/button><span class=\"nx-in-step\" data-nxi-step=\"true\" aria-live=\"polite\"><\/span><\/div><\/div><div class=\"nx-in-side\"><p class=\"nx-eyebrow\">Controls<\/p><div class=\"nx-in-ctl\" data-nxi-ctl=\"true\"><dl class=\"nx-in-pv\"><div><dt>Baseline trend of the outcome<\/dt><dd>2.0% a year<\/dd><\/div><div><dt>Coverage of the instrument<\/dt><dd>70%<\/dd><\/div><div><dt>Compliance<\/dt><dd>75%<\/dd><\/div><div><dt>Effect size, against the teaching value<\/dt><dd>100%<\/dd><\/div><div><dt>Years ahead<\/dt><dd>20 years<\/dd><\/div><\/dl><\/div><p class=\"nx-eyebrow\">Readouts<\/p><dl class=\"nx-in-out\" data-nxi-out=\"true\" aria-live=\"polite\"><div><dt>Largest reduction at the horizon<\/dt><dd>Regulation<\/dd><\/div><div><dt>Its reduction against the baseline<\/dt><dd>21%<\/dd><\/div><\/dl><\/div><\/div><details class=\"nx-in-more\"><summary>Numbers, methods and sources<\/summary><div class=\"nx-in-more-in\"><div class=\"nx-in-tblw\" data-nxi-table=\"true\"><table class=\"nx-in-tbl\"><thead><tr><th scope=\"col\">Year<\/th><th scope=\"col\">Baseline<\/th><th scope=\"col\">Regulation<\/th><th scope=\"col\">Economic incentive<\/th><th scope=\"col\">Information and capacity<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">0<\/th><td>100.0<\/td><td>99.5<\/td><td>98.8<\/td><td>99.1<\/td><\/tr><tr><th scope=\"row\">1<\/th><td>102.0<\/td><td>101.2<\/td><td>100.1<\/td><td>99.8<\/td><\/tr><tr><th scope=\"row\">2<\/th><td>104.0<\/td><td>102.5<\/td><td>101.1<\/td><td>99.9<\/td><\/tr><tr><th scope=\"row\">3<\/th><td>106.1<\/td><td>103.5<\/td><td>101.6<\/td><td>100.0<\/td><\/tr><tr><th scope=\"row\">4<\/th><td>108.2<\/td><td>103.7<\/td><td>101.8<\/td><td>100.7<\/td><\/tr><tr><th scope=\"row\">5<\/th><td>110.4<\/td><td>103.2<\/td><td>101.7<\/td><td>102.1<\/td><\/tr><tr><th scope=\"row\">6<\/th><td>112.6<\/td><td>102.0<\/td><td>101.6<\/td><td>103.9<\/td><\/tr><tr><th scope=\"row\">7<\/th><td>114.9<\/td><td>100.4<\/td><td>101.6<\/td><td>105.9<\/td><\/tr><tr><th scope=\"row\">8<\/th><td>117.2<\/td><td>99.2<\/td><td>102.1<\/td><td>108.0<\/td><\/tr><tr><th scope=\"row\">9<\/th><td>119.5<\/td><td>98.6<\/td><td>102.9<\/td><td>110.1<\/td><\/tr><tr><th scope=\"row\">10<\/th><td>121.9<\/td><td>98.9<\/td><td>104.2<\/td><td>112.3<\/td><\/tr><tr><th scope=\"row\">11<\/th><td>124.3<\/td><td>99.7<\/td><td>105.7<\/td><td>114.5<\/td><\/tr><tr><th scope=\"row\">12<\/th><td>126.8<\/td><td>101.1<\/td><td>107.4<\/td><td>116.8<\/td><\/tr><tr><th scope=\"row\">13<\/th><td>129.4<\/td><td>102.7<\/td><td>109.4<\/td><td>119.2<\/td><\/tr><tr><th scope=\"row\">14<\/th><td>131.9<\/td><td>104.5<\/td><td>111.4<\/td><td>121.6<\/td><\/tr><tr><th scope=\"row\">15<\/th><td>134.6<\/td><td>106.5<\/td><td>113.5<\/td><td>124.0<\/td><\/tr><tr><th scope=\"row\">16<\/th><td>137.3<\/td><td>108.5<\/td><td>115.7<\/td><td>126.5<\/td><\/tr><tr><th scope=\"row\">17<\/th><td>140.0<\/td><td>110.7<\/td><td>118.0<\/td><td>129.0<\/td><\/tr><tr><th scope=\"row\">18<\/th><td>142.8<\/td><td>112.9<\/td><td>120.4<\/td><td>131.6<\/td><\/tr><tr><th scope=\"row\">19<\/th><td>145.7<\/td><td>115.1<\/td><td>122.8<\/td><td>134.2<\/td><\/tr><tr><th scope=\"row\">20<\/th><td>148.6<\/td><td>117.4<\/td><td>125.2<\/td><td>136.9<\/td><\/tr><\/tbody><\/table><\/div><button type=\"button\" class=\"nx-in-btn\" data-nxi-csv=\"true\" hidden>Download the numbers (CSV)<\/button><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>Tools of government <span class=\"nx-in-cite\">Hood (1983), The Tools of Government, Macmillan<\/span><\/li><li>Carrots, sticks and sermons <span class=\"nx-in-cite\">Bemelmans-Videc, Rist and Vedung (1998), Transaction<\/span><\/li><li>Diffusion of innovations <span class=\"nx-in-cite\">Rogers (2003), Diffusion of Innovations, Free Press<\/span><\/li><li>Uncertainty fan (parameter Monte Carlo) <span class=\"nx-in-cite\">Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333<\/span><\/li><li>One-at-a-time sensitivity (tornado) <span class=\"nx-in-cite\">Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley<\/span><\/li><\/ol><h4 class=\"nx-h4\">Data<\/h4><p class=\"nx-p\">The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page&#8217;s map can draw:<\/p><ul class=\"nx-in-src\"><li>Borders <span class=\"nx-in-cite\">Natural Earth<\/span><\/li><li>Cities <span class=\"nx-in-cite\">Natural Earth<\/span><\/li><\/ul><\/div><\/details><figcaption class=\"nx-caption\">Compare instruments: rules, incentives and information. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Tools of government (Hood (1983), The Tools of Government, Macmillan); Carrots, sticks and sermons (Bemelmans-Videc, Rist and Vedung (1998), Transaction); Diffusion of innovations (Rogers (2003), Diffusion of Innovations, Free Press).<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/foundry\/\">AI and Digital Governance in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/universe\/\">AI and Digital Governance in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/digital-ai\/\">Digital, Cyber and AI in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/reports\/\">AI and Digital Governance in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/technology-digital\/\">Faculty of Technology and Digital Systems in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"infrastructure\" aria-label=\"Validation, Implementation, Connections, Instruments and commitments\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Validation, Implementation, Connections, Instruments and commitments\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-checks\" aria-selected=\"true\" data-key=\"p1\">Validation<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-instrument-2\" aria-selected=\"false\" data-key=\"p2\">Implementation<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-connections\" aria-selected=\"false\" data-key=\"p3\">Connections<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-4\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p4\">Instruments and commitments<\/button><\/div><section id=\"nx-sec-checks\" class=\"nx-section nx-band-panel\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Models are evaluated on held-out data that respects spatial, temporal and group structure. Robustness, calibration and fairness are tested alongside accuracy.<\/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\">Claims against evidence<\/td><td data-label=\"How it is done\">Capability claims are checked against published evaluations<\/td><\/tr><tr><td data-label=\"Check\">Context of benchmarks<\/td><td data-label=\"How it is done\">Benchmark results are read with their task and data limits stated<\/td><\/tr><tr><td data-label=\"Check\">Deployment conditions<\/td><td data-label=\"How it is done\">Behaviour is described for the conditions in which the system is used<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Performance degrades when deployment conditions differ from training data. Models can encode biases and fail without clear warning on rare events.<\/p><\/div><\/div><\/section><section id=\"nx-sec-instrument-2\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Implementation<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From mandate to evaluation, by pillar.<\/h2><p class=\"nx-lede\">The steps an instrument takes from mandate to evaluation, each with the pillar that runs it, and the decisions that stay with the authority. Teaching model with stated illustrative values, not a prediction.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-ai-digital-governance-stem-ai-ml-1\" aria-label=\"From mandate to evaluation, by pillar\"><ol class=\"nx-in-steps\"><li><strong>Mandate and problem framing<\/strong> <span class=\"nx-in-cite\">Competent authority (outside the programme)<\/span><br>A competent authority frames the problem and the mandate under its own rules. <span class=\"nx-in-cite\">Howlett, Ramesh and Perl (2009)<\/span><\/li><li><strong>Evidence and system model<\/strong> <span class=\"nx-in-cite\">Foundry<\/span><br>The system is modelled with its feedbacks, data and stated limits. <span class=\"nx-in-cite\">OECD (2014), principle 2<\/span><\/li><li><strong>Options appraised with scenarios<\/strong> <span class=\"nx-in-cite\">Foundry<\/span><br>Instruments are compared under scenarios, with uncertainty shown. <span class=\"nx-in-cite\">Hood (1983)<\/span><\/li><li><strong>Exercise with stakeholders<\/strong> <span class=\"nx-in-cite\">Universe<\/span><br>The options are tested in an exercise with those who would implement and bear them. <span class=\"nx-in-cite\">OECD (2014), principle 3<\/span><\/li><li><strong>Standard or guidance drafted<\/strong> <span class=\"nx-in-cite\">Nexus Standards<\/span><br>What works is codified as a standard or guidance, open to comment. <span class=\"nx-in-cite\">Nexus Standards process<\/span><\/li><li><strong>Decision by the authority<\/strong> <span class=\"nx-in-cite\">Competent authority (outside the programme)<\/span><br>The authority decides, outside the programme, with the evidence on record. <span class=\"nx-in-cite\">Howlett, Ramesh and Perl (2009)<\/span><\/li><li><strong>Capacity and training<\/strong> <span class=\"nx-in-cite\">Risk Academy<\/span><br>Those who implement are trained on the decided instrument and its data. <span class=\"nx-in-cite\">Sendai Framework (2015), priority 2<\/span><\/li><li><strong>Monitoring and public report<\/strong> <span class=\"nx-in-cite\">Reports<\/span><br>Indicators are published with sources, limits and corrections. <span class=\"nx-in-cite\">OECD (2014), principle 5<\/span><\/li><li><strong>Evaluation and revision<\/strong> <span class=\"nx-in-cite\">Nexus Standards<\/span><br>Results return to the standard and the model: the cycle closes. <span class=\"nx-in-cite\">Howlett, Ramesh and Perl (2009)<\/span><\/li><\/ol><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>Policy cycle <span class=\"nx-in-cite\">Howlett, Ramesh and Perl (2009), Studying Public Policy, Oxford University Press<\/span><\/li><li>Governance of critical risks <span class=\"nx-in-cite\">OECD (2014), Recommendation of the Council on the Governance of Critical Risks<\/span><\/li><li>Layered drawing of directed graphs <span class=\"nx-in-cite\">Sugiyama, Tagawa and Toda (1981), IEEE SMC 11<\/span><\/li><\/ol><figcaption class=\"nx-caption\">From mandate to evaluation, by pillar: the steps as recorded, each with its pillar; sources as cited on each step.<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/foundry\/\">AI and Digital Governance in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/universe\/\">AI and Digital Governance in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/digital-ai\/\">Digital, Cyber and AI in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/reports\/\">AI and Digital Governance in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/technology-digital\/\">Faculty of Technology and Digital Systems in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section nx-band-panel\" data-hue=\"infrastructure\" data-variant=\"band\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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:\/\/globalriskforum.com\/ai-digital-governance\/topics\/ai-oversight-and-accountability\/\"><span>AI oversight and accountability<\/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:\/\/globalriskforum.com\/ai-digital-governance\/topics\/algorithmic-public-decisions\/\"><span>Algorithmic public decisions<\/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:\/\/globalriskforum.com\/ai-digital-governance\/topics\/data-governance-and-sharing\/\"><span>Data governance and sharing<\/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:\/\/globalriskforum.com\/ai-digital-governance\/topics\/autonomous-agents-and-liability\/\"><span>Autonomous agents and liability<\/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:\/\/globalriskforum.com\/ai-digital-governance\/topics\/cyber-and-public-infrastructure\/\"><span>Cyber and public infrastructure<\/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:\/\/globalriskforum.com\/ai-digital-governance\/topics\/international-ai-cooperation\/\"><span>International AI cooperation<\/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-audience\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Instruments and commitments<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Instruments, mandates and commitments.<\/h2><p class=\"nx-lede\">The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"governance\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"instrument-matrix\"><h3 class=\"nx-h4\">Policy instrument matrix<\/h3><p class=\"nx-p nx-au-what\">The kinds of instrument available on Artificial intelligence and machine learning for AI and digital governance, by level of government and cooperation.<\/p><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Instrument type<\/th><th scope=\"col\">Local<\/th><th scope=\"col\">National<\/th><th scope=\"col\">Regional<\/th><th scope=\"col\">Global<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Instrument type\"><strong>Regulatory<\/strong><\/td><td data-label=\"Local\">Zoning, building codes<\/td><td data-label=\"National\">Laws, standards, licensing<\/td><td data-label=\"Regional\">Harmonised rules<\/td><td data-label=\"Global\">Conventions and treaties<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Economic<\/strong><\/td><td data-label=\"Local\">Local levies, grants<\/td><td data-label=\"National\">Budget lines, taxes, insurance schemes<\/td><td data-label=\"Regional\">Risk pools, regional funds<\/td><td data-label=\"Global\">Financing mechanisms<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Information<\/strong><\/td><td data-label=\"Local\">Local warnings<\/td><td data-label=\"National\">Disclosure, early warning, statistics<\/td><td data-label=\"Regional\">Data sharing arrangements<\/td><td data-label=\"Global\">Global monitoring and reporting<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Institutional<\/strong><\/td><td data-label=\"Local\">Local committees<\/td><td data-label=\"National\">Lead agencies, coordination councils<\/td><td data-label=\"Regional\">Regional bodies and secretariats<\/td><td data-label=\"Global\">Multilateral mandates<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Cooperative<\/strong><\/td><td data-label=\"Local\">Community agreements<\/td><td data-label=\"National\">Partnership compacts<\/td><td data-label=\"Regional\">Memoranda and joint programmes<\/td><td data-label=\"Global\">Agreements and joint commitments<\/td><\/tr><\/tbody><\/table><\/div><figcaption class=\"nx-caption\"><span>A typology after the OECD Recommendation on the Governance of Critical Risks; examples of instrument types, not an inventory of any country&#8217;s measures.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">Sendai Framework for Disaster Risk Reduction \u00b7 UNDRR<\/span><span class=\"nx-chip\">Paris Agreement \u00b7 UNFCCC<\/span><span class=\"nx-chip\">2030 Agenda and the Sustainable Development Goals \u00b7 United Nations<\/span><span class=\"nx-chip\">International Health Regulations \u00b7 WHO<\/span><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-hue=\"infrastructure\" aria-label=\"Stewardship, Connected, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Stewardship, Connected, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-sec-stewardship\" aria-selected=\"true\" data-key=\"p1\">Stewardship<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-s-11-sec\" aria-selected=\"false\" data-key=\"p2\">Connected<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-3\" aria-controls=\"nx-s-12-sec\" aria-selected=\"false\" data-key=\"p3\">Questions<\/button><\/div><section id=\"nx-sec-stewardship\" class=\"nx-section nx-band-panel\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems<\/a> stewards artificial intelligence and machine learning 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\/technology\/ai-ml\/\">Canonical page: Artificial intelligence and machine learning<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-11\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-11\" 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\/stem\/ai-ml\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr><\/span><\/span><span class=\"nx-dest-title\">Machine learning behaviour<\/span><span class=\"nx-dest-why\">Artificial Intelligence and Autonomous Systems 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-12-sec\" class=\"nx-section nx-band-panel\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-12\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-12\" 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 artificial intelligence and machine learning in this field?<\/summary><div class=\"nx-answer\">Performance degrades when deployment conditions differ from training data. Models can encode biases and fail without clear warning on rare events.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Models are evaluated on held-out data that respects spatial, temporal and group structure. Robustness, calibration and fairness are tested alongside accuracy.<\/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\/technology\/ai-ml\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">Global Risks Forum<\/span><span class=\"nx-chip\">AI and Digital Governance<\/span><span class=\"nx-chip\">Exponential Technology<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GRF<\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">Global Risks Forum<\/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:\/\/grf\/ai-digital-governance\/stem\/ai-ml#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-alriskforum-com-ai-digital-governance-stem-ai-ml-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-alriskforum-com-ai-digital-governance-stem-ai-ml-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-alriskforum-com-ai-digital-governance-stem-ai-ml-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/systems\/nxs-dss\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Nxs-dss<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/governance-policy\/ai-digital-governance\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> AI and digital governance<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/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-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">AI and Digital Governance<\/span><h2 id=\"nx-close-13\" class=\"nx-section-title\">Bring a governance question to the Forum.<\/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:\/\/globalriskforum.com\/ai-digital-governance\/write-to-us\/session-proposal\/\">Propose a dialogue <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:\/\/globalriskforum.com\/ai-digital-governance\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-legal-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Legal<\/span><h2 id=\"nx-legal-14\" class=\"nx-h3 nx-mt-2\">Legal documents.<\/h2><details class=\"nx-mt-3\"><summary class=\"nx-link\">Show all 18 legal documents<\/summary><nav class=\"nx-related nx-mt-3\" aria-label=\"Legal documents\"><a href=\"https:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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:\/\/globalriskforum.com\/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><\/details><p class=\"nx-note nx-mt-3\">Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.<\/p><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/#article\",\"headline\":\"Artificial intelligence and machine learning for AI and digital governance\",\"description\":\"Machine learning for AI policymakers: how models fail in deployment, how to read model documentation and how agent architectures place risk.\",\"inLanguage\":\"en\",\"about\":{\"@type\":\"Thing\",\"name\":\"machine learning for ai policymakers\"},\"author\":{\"@id\":\"https:\/\/globalriskforum.com\/#organization\",\"@type\":\"Organization\",\"name\":\"The Global Risks Forum\",\"url\":\"https:\/\/globalriskforum.com\/\",\"alternateName\":\"GRF\"},\"publisher\":{\"@id\":\"https:\/\/globalriskforum.com\/#organization\"},\"mainEntityOfPage\":{\"@id\":\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/#webpage\"},\"isAccessibleForFree\":true,\"mentions\":[{\"@type\":\"Thing\",\"name\":\"Model and system cards\"},{\"@type\":\"Thing\",\"name\":\"Benchmark results\"},{\"@type\":\"Thing\",\"name\":\"Incident records\"},{\"@type\":\"Thing\",\"name\":\"Research literature\"}]}]}<\/script>\n\n<!-- nx-rev:ce61aa2ccf00500a -->\n<!-- nx-shared:2a1ad5a383aa -->\n<!-- nx-path:\/stem\/ai-ml\/ -->","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence and machine learning are the systems this field governs. On this platform the methods are explained so that oversight bodies, legislators and the public understand what models do, how they fail and what evidence about them can be\u2026<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":28,"menu_order":160,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","_nx_seo_description":"","_nx_seo_title":"","_nx_seo_image":"","_nx_seo_jsonld":"","_nx_i18n_locale":"","_nx_i18n_group":"","nexus_page_kind":"","footnotes":"","_nx_seo_image_alt":"","_nx_seo_canonical":"","_nx_seo_robots":"","_nx_seo_schema_type":""},"class_list":["post-41","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/pages\/41","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/comments?post=41"}],"version-history":[{"count":1,"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/pages\/41\/revisions"}],"predecessor-version":[{"id":85,"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/pages\/41\/revisions\/85"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/pages\/28"}],"wp:attachment":[{"href":"https:\/\/globalriskforum.com\/ai-digital-governance\/wp-json\/wp\/v2\/media?parent=41"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}