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Ly\/tdouBUiqSGXioUSf1Fy8vpycMNFB\/\/PLyvsUy91gpjKjNck35zM2MstBNTa8sCsyMmgYO9ACAd08cpZv64FNO2HAnJ\/Jfo1YOChKMaeZylVLrxz30gdy7sPpgUFAUk7MC1k5SuZpTM5Ggd\/zXVCyuFKyBGexVsLxeUo6+l\/lOANU8ioyEDSlEVNnSLWfKFu4EaEeuv4KuTm5jeHlLOm5IxkmjZBxbxEQ4JbeV4q5gQDlEf+yMR67rFo2copHu8EKLeGt\/6VD5AAAys7ZcyaXc8oOCmeXF5gpY+uwcgydmYova5ibEaeQwXjkK+LOciR3GEzVRHKmgld0rppGMHJSWYT7YOEjGO6mzpAtQbKS\/WHuLVps7YiHz\/9rmHnNP1Db3fW1zA3eSuxtiTscy0AQxpxO5vSHmBIYgGH9lzCkH8y+V5l9spdL8S6X5x620NP8CFzhAC4JBdUe1t+WS8l2vF6Gf2bcnYRxgWNPLOEQ2Xd+ed0Ll022xQIXHD2qNRSK8iNDVdjvsP3EDU2sdJIuYdK1Sgvv2nDq1J1qOWIrkgCWUlXIGnvq0E7jJOqsMxYyFvUg6UTMwFLN3bbv1QxG\/2oOEoRzNQ6+V1BoHoDUOWW5HLLdTZr8\/pWzi\/mq0WMZye8ByW0AYSyqDE\/YbVigdMK\/pgHtRv3AHxbDsyZ0YxQTYx+KhMPtHuEiwGdULCpv5jHRJzEfEqRVLJJNZAt6mMJ4cE9pZvkmdWSBvqbsWR3r0S7NuBjs0mTb7aD1RFcmp5m21C1O1AdaPzhOa83qNosKx+7TerCpoDuqWzVq2n8RxbWZ+NbXnNsbS5ASej9WD1BdQEx8rNXwM+pg0nbfxbjZj\/ff8+Lh9TBxCFM7foF8t5hpwJWwFC3yyTvexv6n5i1HuoAY0dQMJ51wqWbSghWGS8nAUyywg8IvCwJYhEWENKrUqtwfmqbbsNcXq\/cmaHZ4F4fzgeRrFmUvGQsyco6PFYmEv3ttJOjpq\/\/jjj0fPYzGNyAH6QF3lAl1IRJxD0pVXeXsxqSoI5+dE48SQOLP8a5x44QmeDr0oqrHj283A\/8lxGfh\/39IC\/6cY+D\/9C4H\/X\/eE+VmA1bsC+kwG8ztFauRT7m2FdMMGZp4j48CQblI+tCkbuoF8WLYpG5QPrZ0+bxhQ0wTCKqrrS6ocVpwgsXyNEQysodr84Z8O4+Ib3jNmEZNuYp06fuHUkFVLmXbTHVh\/d4YQBN\/YGPUOtmIK4a6o8CvJEt\/TfVHjV7MomqLKqKkEoTcqcLPFwqCSSGaVlzBRxaKCciCqeFiuZ1UouAsYaOFYCPY3WkudW9KX0EOYka75QsQy6u8OWM1qUaHMIuZElyiT0kau678TzeBKYnhO4lqQ1n\/GeU4weuYvcT4TiJ2x1JmoaFbFMiDbLvtrLCPzPSF4WmMYT0JPbjQ8zKMExvHjKePlM6YNsdT9KR7CIYkly12r\/B3g7g3cVieo0hMDwGyRRx3GRspEL+jTTl4pN7kswuwz13VTusrd1JQZuxkqJg1Z2FabsmMWWyeURe6vRspyxq337D2tlMImSArtK4OgTWTgwH0pBf1yln6eVkp+NaDjQU1H6n1hmTWQlF3qsPG+XtOSBa8FzWZeOtkKm8UYNuMqNKZCfo4knLfmzMZJzGWYcCu9INvMVMg8gokJSZGYYDa+tpmWkEXytVC90bBxso1QbxYQSfSZ4RckD2uy6QyT+7nALfMhwwM2xbF9staz3TJRz7k24pKK2y0wPJo6bjNBX12ZEDXJjYXhJjk4Jf+P1mVLRInUk04GsOJam37pUzBK2xLTr6m94UATdV7pv9P7nRv8XUo3O9dQe13TJwIeCU\/h7PAsm3lxXfWZzEJrTg4kBC6ZFL9F7Er8oFKk\/HVSI4JOzgm4afI4FN1dvebFq9BKfxNSFkzD2\/lioEAIwlTmwXt2EKYvL2QYeYJATrysHyVJAA0Mz8afRUhZLaNTFsM8CvZNYg+7kLqeNNi3YAOr2BO8EcJZGEUKAGwkQVRvYM9n4YFGZwUaz34\/Cs+1puBfxLTTjdGrhXysLaSfRPk0lpZ6lqRCSQ44riDG3AvOz0R6DmnwOXLU1G110srWSwupGeChBJa5AfZSIY04hxJsLAa0xt1Y5rgGIA67ca\/dP291iZf5PA4gSu6QgGsPuEPUHzy5oBx\/gUqJmRnqF3WaEJulclECO4PFvuORJ8I5P8jCP3gNSx1uuodnYnyQ+cmMu+gxlQviJ5FcDoQYYTCNwI7zafdQtojzqVqQQ1zqDI9PGBvIiJzDs0EuBBzaW8IQ8kGNArAqHGkjnR+aEQIp254rkMX4nKzhYAf8Ts+xRK7WIAmW50RbLOlo3VqxUHlg4SwJdiRSYhohrsnhgaa3SIDCAqCDIufCJS1yAIkbLkbC1CrziPuCB67aLYfQZRJ3FRH4eZryWOi4klsjtIflqMWAQ8R0UY+dFE7AGrIBtqJuUkJbvUwUOnK31ckr2s11F1HeZyDRwT+Y9XyYa58N3USdqOmqjA0I8JNEGpTdxFkJJ1nD\/4RIk2jgGkM7W3QPz8INIlwUpCThg1aIzJ07Ws5saKdePCmP+TRyDmghSVy23uY7vj3w0m4mjCH80NMYsIANbZ86QxtY0J\/gTfKFt7CmoV1nhlhSc6JCC5xuNvXgEPAZ\/j0nElXwW3Ugi2FaimgDAvPbsxXV7FUtzL9WO7SzuYZfNct5uUxzjQiHtt\/Q2K9a+3pz4AADuVmD2matfqu9WohRAepCHfVYVDEIfCxEA+jyihkJxQvVNsOHopky5nSwuAQLOtPPdV1pkuHwLIjqoATgydh7BknqXHBIqAMnjMBrcn4WCFxGLo9OgOdDnJ8FsGzgStBYTZIr3gflGtbBFVEuTEV+UFyfFZS1i0GC88LJUp5VkhWRPuM7ZfPsVmR2yOW3kL2nE3015mUdy+G8PiAePk55wVoVAWwvqycX1iQH3sgL40zAGTt7UC33OfZdMehzOTucylgBq6qlEgAChKeFegVPUpE4LCbR1EElID2yuQEbez8La5wQJuLvZ4X6dN8MzeAvQjN4EzSDt0PzCgCyvyAcDq9lQjT5EA6HPOWxX1NPCmre2oC6cNd3oRTuciseNpNCWaADIzdq07y2Z8LLvTFxie8dmnGpRdcVfbkx\/0qng32dHv+pTg+Bl5yUvCQo+MhJAx9532\/A\/QYnwaJyW39pdJ+gN0Zzn4hkNIo4S93Ds3yDv0Z8BO68c1SRD8+isKnaEnLusQQvCpUwLI\/Aoo4jtnScwBWg42Tu4StMq9ClQXn1kxxzSEt518AfsQ2pM3EsczbV2FnR46aCovT5w9pODOQ+REU7G3sz3lV\/Iac1eyKlRICy4hV8KBYTu05BDgGWTAPsrkbtu24p8iUBlbuSS3LJFLFUZuJ8Q1GXWAUbP+PSfgzsJN6yHiW+FUqymmbfaL4U8BiBPZz83Kybq6o6FWcalitiKUg4xZIchCEeqxLuCiWN8yhYEDlXgoHgc+4EU\/LIuRRMkqDzRTCe+c6MDeEyEucnpu7LcIRgw6lwfmFRGDu\/sigZZc5\/GLjAHS4YepCd31gc+vzGe3Y8wXjkPLNsPnL+xcC95PyNQezlK\/wMBIMwo\/MHdMadhWCQTeJcwMFxTzg3gpVhD+deMOXQdG4FQx+a8yQYuGycTLDJLLxMgqVzjc0i\/ilNps4\/pMb+b7dHngkjS8IIOkIII9IHQhjxocaHKvCmPLfhv2NoDL+W8AtCCOUhDyLjJ0PhHlnd34N3v9vd3wPT6Dq8Z5l9+E27R6OwU7IMX2wfGaX2FK99GYrqkoiuZ0+9mToISp1ev+I6X\/UDrG2rus7Bqt+R8lDjTq3Oxk081X05Q8HK1OryfL\/Xi02zCNEbvDjRahPaa\/flIdfyvh1uvzsKGRQVFmdtKO3GhPTd1u0T4I7L2XtK1bUTzXW61\/rzWyeGa9L7PWB9uTDvjkY7Z8p2zVJNSXLUn8DnXK4SL6\/3gJO+Z61uUA3N4A4iQp1AhzzZs\/oNwG6RQwl8XBKAOgMcb41M13WyGZd+Urg3oKQgdb0ROk1Z6q7WLIf\/ApaVyVYjLu6SRNwmAe\/Wngx1YiF0o25kw2VGc\/4x4lMeCxXcQFMa42byhLkNJ\/JAdTVCSle+G0J3F0Kk4SCHc1LKfUlfXhprFHOk8mBogkFEni7v0QORpBdRZJCe7KOvJKSMByS1eIBMoEh6QX\/H8GzgrtbaFQb\/rl1hIENG26\/\/Gy41wCO75a0cgx4U9t3Jep32hn1XnhmAN8detjmwiAmlqxzaYRPwKF4lseCxWK\/hKpmYp58fbq5dD3NbinMCG0gwDnuVW8Q3D0n\/kL687GhUiRTVEnpe4lotbXRn0xVcdaUejNUs5XMei3s\/TaLIAcFW3lr1QFdreQST2ykPcp\/XaGzhcjvQYywnxy0Hi\/AGm0Wt8RNcHfPx7ev7cWt9R+7HXtBnY3e0a42nbtobY5rQlK72rfW1C4vILja7uqbs3p32rrGPC\/0mlvv6LS3weFEcjPXhlCW7gr8XiO5LNaDrulfFbUMrrZyunmRIacUjZ8Q84VyzC+eSXTpXTMwi52JNOyM7q0HG7ile9oLhtd64r8Ejc8hHOnWxRzcR2I6yG\/h5i4A9VoDd6IA96g+q99sNKKF3JA924TyyS+cGQb1FULWRXXgdAS2ysLjNY8FT7fRAfWpy\/bANCmLQrHCa3z2VYGmE9BWSHUvTH2gUmn6lq6\/uw1plildBIePB+kqPFpR9c78K40ulY39wW50PZ8UInQ8FaXx2n3of+uznIvoIZZ\/cVufT2Wf7omj9CVr\/LLHz2b7ofeqbxmf7svepb8lH+u4bBkI\/yyDC6rPNoxqWvsA9S59tQOFnYeAP9rPKSMPGNRR9tj3BtFceqlckqr6c4d1rTznPxEUcTiEsFX9KvSk3ZB7wjpoSkd82Ym6w5oLx6YAHcLsPbn4nZug9cVZrlvFICoRxUkgGOLoHVX42lyWzeCR\/ZPPRl1w1G0MuBU+h5bo8u1bnZMRWbrNwBh5CUMBLMRkyn64MuAVIdtML+27tCdJPqFwZn6473ObTUGy8L0XN1mvlest82qSWTws8M+kN+9Cr5I4D4I5QDJZ\/NoOyj8BJjZgvDq7yTCRT+UziZ2c4sYgZslXAhRdGjs8G+WAQ8UzuKNC9k4wHiv3WRuhw+0mDX7vopI61EGf75L2hLXBd2TzjddywhK64jEEBZv3yZo2t9ytxA32QQzNU4qZAojzNMawd5Bj2Bv2Nza8bXIQpFQrbNTD5OaHUdQtFy6dl4E7aZcWxu\/3gRmHA0yaIl26rszybFBAvkSUIY9Jb9plPlcjb2\/dizOP\/o7p2an0\/ua3O09mi6PsJ+l70nvq2suDxd7N+BJ0S+p3rhpgl7SNrxHUC0jaIP\/biEUTowZXshAyjsY6\/pkg7I75J\/aWqWy5zKcB9pyqFl8ERsEkeb6AI5QR+M0XojNFHfaqRVCr\/LWGJ0hjfvtiaDQHj\/e2IoVu0UJGKUlvwTKAuu48sgCaaCBlxL\/PHfJDXHVCcYgBhBxplSCqsHy\/epdhB4oKGWCdEPWtYiscxJAT7bFWy6yBPHSORTqsgTxkK2bIEn9a0Exm0MxLGkBYpgWAtyOTsDrdx0DoF5cgb5OSGKc\/Gjfw17DbNrhf2ndBRt7rBpYhGTvcyXkk5eQ+YL1za8zp6oGW1sN8N6reGfDfRnuX6aubsxPYjOHT9K7gR5PtLrX2xnMaEDYwlm1Bc5k51de4dh5D0lwHmiKR0BbKgXmZoV+4WIVxtTDwcVyTKhlZA4dYTtb6Biyue0ZXvxT6PNuR5BlnlzaJeG1Ouqlo4A2XyCuikpagDWekazHNqJxLm2mWmkQb3Ll1eGiF9QpmPa+u7rY5fpYL6xbombtjz+\/vsQojfFja8Q2iv1VcxWpBdURdiufjLDsIpskf5FAZyHh3JI7g9ToRqPE6E1hieao2XUkvtoOKaqTuRhvowUuEc0NUSk0ekSj6gK5xKA8dK4kqtRf0OG6Z8msx5Q1vUGye7uxtj8tUb+4PG2OFyd4dBOH17h9AYO2xYOPDSE4pZrcmCNA5YSy8gbLAlwNcV3kUTsKhvRIQ1L7qCX+wAXr0MZ3VtbzaLljdeOsncCBUhgGkHl5a0Vg7pum5YXPNQjqyrJZKcFFFhC9cvrsbGOy2G8s8qCKdOyMLAKV9dIzcuRLuEirCqoQ5KGCj1OslTnzvJywvJQ8gG7QBdz3cKnTosjUCoPAi5b3bsGYJrbQy7w7JuqMo7ckcotoVvuMPazBA+fWLQzb4JiXC2NR3Yh+XN2oValBYqFVBWRzMch+rocSLjOXQ1hLBCJtIkHmHAqKiQPndVvsY3IAynXoDY84ZKk9TidwPNoyTjd4N+Z6hC6cQ0JlrEXMVJJrVgOVHxdtVyX6wH28P79bg8TmfSGEcfyqwFjKDj1OJEFLiYKTRgEb45g2CD5qcadkr06iyzJsHYwk3tZDjMuHp+Kp8\/o1O+I++AC832ibk4X1qn3dBaWO0TB0rYyPXN9gks1Mh8Oi96lm9ap3Q1cn3ryWofr1M7E8uI26Xr3q3dz6QJ9TJf9BQuQDDJ7Jntqh\/JekoUzV00247oNL2El8N4dIUQ3nFfIIGLEFKXJNi\/WaDMDAUrCv5lJXAolvkFUX9K0j83AhtKH+ue0Yc4phraHNoYEzk6ZkMYWgJgDm0ZITk6VrCMw4A\/6JsM91e6saFQpa14p1F5zrW7lUXTtfwbwqJSl6cheEkZf0NL75mo6xdTl5\/H3eZE4PKyTYo3lsO95ZQ6LYgHpO\/gUvvyCv5japL\/Ih2xU5WP4XYIxRc9SssrdPYoPmKcTweg+mT72w3DKOprQV95nCGoHWUI4CRIDTYsEd7o1pty\/ErBgqdXXsYNlLsqWbsLQS8HQmK5PCoh9TW48a1+2xt4PjbmDrGxXBlXv4rCQPmVe5MbvFOoupK\/C7qtqkC+XbnlRrXs1G0kYJSyV8uH0lEhsyK8hoQIrxf3Wepy24+SDAw15SsicA0636FIyuybYvHSbmo\/Pg4n90kqXVJ4zzkSe9DL+3SVCjgu38vxckD8i5cly2MMxdvqj7KWyTCMQHcmZt7HPsuOs7rfOCt9yjGMkqFPt0RbuuGEE7a4TIKQw91JaIrU\/e+pe5Gm3lK7GxvPMqgrsaXMwpP3DQsw7hVZNkCqgWu1WaaFR\/Kayxydwlmjng75tUB6HpzExUaQpfETBNE6+Nik\/yWpICzeky+s9Lj9HahkYlQZg7PyGxMgF5JUVCZPxMIiRTRSuaGBnigaqIiv63f9pilmc8xvZQM36SZ7GihbQzGfIRy+Vb8HxZWxYXbr3RoTWmiPQ2pH+J2RKxmfN1T5gFJHtl3SrtV2Jtay4LOLd7G6ckWuVFpbKeTNPA6uxmEUGCmErzT6imuMWaeurv6AlOPgLWPVHVwyDTneykDO8Vp6I+6lzXYcRP5QqTkgagPi9zPgoGMXBIqTVyHX4nI5eg4MAHpUkue7QG1SbrrtYiuKBiaggpt7mIC0nyVDzF51YiEmMJOk5slqsmfR2tE9WYWFQPUtPqhxxtEOAwdviUPEsRgCEbD3veqm6eIDNoVh\/L8a75TrxBvWiQNC1RsvuOl7\/eIrEHnvpF+757qzJZm2D9mFbobyqbTOMSxchZiO6SpQR6fURghBT2XlQxsPba1jFWbCnCUnB7brOzkc+oNEEifvHeNl2hlhQyfvvccH0pVcVW0T1SXUUtqFP45exGYiw7h9icFyQT5t7ImZyBDd8Ubs6eDWu8Uj3mduLC+OrdYDntv9dfUdgXaHV1uFKxaKb8qPB8jIOR5RLr9rc6Yqu3GPy\/v7nVh+XEAxe8OzVFWrT48M1bwqw8+ylCCpPkxDdWKVRfA5mRIRvVi7IretJRfMtr6h8g84S9NIsM8ZKHD5nhZLaNGp22uKGzS786auuiRTefECoKUtq16d1qKdYENMVOk8rGYUzI0UPgglr26lipHsAlqet5RMBYHpZX111nkg4KM4PsS0k53vPw9JcbVD0A0apLBS1yCr43UnOciHGJM0FB4kj4e6SsmbuK3OpGJMk2KrLt1Pwgh7kz6LNz6PtaSae9NX2xVayhRC9ouxZPg4pPKv36eVxpQXl0QEiZ9Dlojtp9wTRc7I7b3RcNT+uNVqHeH5vBIDncXGAmLWVqupYlkq5NVpYjh9unGTdC6PDS8p\/tvqBkLN7+3jhgHUCTs1WSAtXaQuijvMnyBDxoiZT50Vug2cX4yYJd0aP0oo7SZO+eAoTZChWPHRb8zB0QVGGx7Ox4P6T3QtitiOvCh2haToZOzZifXso59qzOuNWymmq3hjzmofsXJDrUVhDxq00wzMa7vmWd7go0H7P4V2C0FTlaR0AEnv4MxOhgeXUTLoxg6YFfDTAF1\/BXqt460Lq6+ZzgzioQXw7e5aVcgAw7e7a4NT8FmkfOjmndSG+y+ixAvgU0x2Con4cZLMeMxT0ikcChDNjbylKxXMTjkkHPSo61fQtR+F\/sSgnYyLh3DKk1zo3naAKOXzZKJBlOMypNqOBiN7x\/5O6XrNTlqtkrWjFS7jw9VHwKTTvkL1tP5JjFqmWaVIbKegyVVR+yvWPu0Xa5\/2iwtYjnqE\/R73VcyM0y6k+vL6V\/sOCTmUri2+puraW0Zo+fv3GJTD32MtCXui6Ui9vvwaDfwAU0Z85l7QVX+ld60lbY6s4KLSesxr1mMqGVvei2s6mi3ScGpQuvZkfVpZ+K\/oxtpIwZadmhXJI\/KLQgGMiiDWVAJ1ALKs7OFXzRCOqNHUAjvj5SXaN4GMNnzUJ6qfFY2SmGOuH54LxzOj26LpHQGPjNdco\/Yimr1wRQz4Sie8\/GEVObjqEa6x98BSJYwkM88PBfyCd63qUbXV6pNYWENvGkblE572VL8XRX5vxCFnGA7d+2A6MjLzwlhYSQqHIfobOfVxQ079iAswv3LBg3vY\/0YMbgC822RDBU5rKnBmumkvkvfjB7BgxTepfgHPkQF11CQddLMGJVNxFVvB94kqdaCoQ9bw8aoN1owsiYCnoAi6qePrNlw99IsHKZlbM2gwjV5eBN0Gklh4PMqbwbcMwQDoeJv+ILgwByTDbjFOt15SBKD4SCgdkO+O6XbLIk27bCoLsK26meuvaRZ4mh7ubmiEjLRbrf9qqC6zxnfUq9VA4nXw0KLcgHCBzzgUnOAUwzjjqbjkcHmRkTDPHoZpJpCfVxo6Xxz8dnN9z9PQi8I\/eGpQ\/HYHPjwkpc9R+xLdlkYOffw09Ua8k9qJFGsbweV8p8D0vXjuZYR2crk6rtfJFfLduJPbSFMxsBqDHAeE2kHqLXAwI2Ut1kJJDl+XTFBW6x+m5EYA4WMEiqep7uCGSvR\/QW2W+i6yNieEfmHhzOdp1AENApKKcjGEK\/hNHvtJwL\/d\/QREnsQAvh6Q\/lA\/syMge65RNUEKH4ajPOW179D+H8\/6o2X9aPWPRiEjlvrCE\/pTgeWWzjg\/m3fxf5UlXbjkiiw2Hm0msu3wc3I37U6Ekcpu1lIL\/B8jNgn0TuRtQUf4cwpytWDq5cdLZ+Ajk0bkLB6BBjkDb5L2tUq41azoc4ZsUeIYf0d0vaZ6aCxvhF6l4aFCdyA3eqXyB26+yYk6z8KI8Gb9oNjxLCg3NPtz4G1OGcdfFZ6ftwKbFYNIplCjM8IiYWS05p5Z6in1Al28mhoFj8r3UuZLdmSxy9UPcCtDqvmu6HXKvWBZxtubMyC38uv6vfq5JHxZd0hJ6ZY2SDf4KOKOVLpOkey1q40cnNC+W7NqAkq7gVM+lO64PcEOmYfVf8WpVMCDbqUd8GBHAJIav6FtPXxDK8m5L2qD58N0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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nt9r5hez.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"editorial\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P08 \u00b7 TOPIC \u00b7 ai-in-science<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Artificial Intelligence and Autonomous Systems<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">AI in science<\/h1><p class=\"nx-tagline\">Machine learning now predicts protein structures, emulates weather and climate models, screens materials and helps analyse vast datasets. It can speed discovery, and it can also produce results that are hard to reproduce, overfit or rest on data leakage. This page sets out how AI is used in science, where it fails, how its results are checked, and what evidence serves the researchers, funders and journals involved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"contents\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>In this dossier<\/strong><\/span><span class=\"nx-eyebrow\">7 parts<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">AI in science: how the risk develops<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\">What is measured, and how well<\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Canvas<\/span><span class=\"nx-register-v\">From sources to decisions<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where the evidence comes from<\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Decisions<\/span><span class=\"nx-register-v\">Who decides, and what the evidence serves<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in East Asia<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Model registry, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>AI in science: how the risk develops<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">AI in science is the use of machine learning to predict, simulate and discover in research, from protein structures to weather and materials. It can speed work, and it can produce irreproducible results through leakage and overfitting, so openness, validation outside the training range and accountability stay central.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in East Asia.<\/h2><p class=\"nx-lede\">Night-time lights and population density, the footprint of electrified, connected activity, framed on East Asia; each layer is a dated NASA product.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"east-asia:digital\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"100,18,146,50\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, East Asia: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-name=\"Night-time lights, daily\" data-wm-short=\"Night lights\" data-wm-src=\"NASA LAADS DAAC VIIRS Black Marble (VNP46A2)\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Population density, 2020\" data-wm-short=\"Population density\" data-wm-src=\"NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-name=\"True colour\" data-wm-short=\"True colour\" data-wm-src=\"NASA LANCE VIIRS NOAA-20 corrected reflectance\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><div><dt><kbd>Arrows<\/kbd><\/dt><dd>Move<\/dd><\/div><div><dt><kbd>Shift and arrows<\/kbd><\/dt><dd>Turn and tilt (3D)<\/dd><\/div><div><dt><kbd>+ and \u2212<\/kbd><\/dt><dd>Zoom<\/dd><\/div><div><dt><kbd>0<\/kbd><\/dt><dd>Reset the view<\/dd><\/div><div><dt><kbd>N and P<\/kbd><\/dt><dd>Next and previous station<\/dd><\/div><div><dt><kbd>Enter<\/kbd><\/dt><dd>Pin the station<\/dd><\/div><div><dt><kbd>I<\/kbd><\/dt><dd>Inspect a point<\/dd><\/div><div><dt><kbd>M<\/kbd><\/dt><dd>Measure<\/dd><\/div><div><dt><kbd>C<\/kbd><\/dt><dd>Compare dates<\/dd><\/div><div><dt><kbd>Escape<\/kbd><\/dt><dd>Close<\/dd><\/div><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>Night-time lights and population density, the footprint of electrified, connected activity, framed on East Asia.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Natural Earth<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/ai-in-science\/#map\" data-nxf-title=\"Artificial Intelligence and Autonomous Systems live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Model registry, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-ai-registry\" data-cx=\"ai.registry\" data-variant=\"section\" aria-label=\"Model registry: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Model registry<\/h3><p class=\"nx-fk-sub\">AI in science \u00b7 Model registry \u00b7 Release gate<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>One model blocked at gate<\/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\">Models<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-ai-registry-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-ai-registry-t0\" aria-label=\"Models\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Model<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Use<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Risk tier<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Evaluation<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Gate<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-ai-registry:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>M-489 triage assistant<\/td><td>Public service<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>20 of 24 suites<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Blocked<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-registry:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>M-530 flood nowcast<\/td><td>Science<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td>12 of 12<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-registry:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>M-079 document search<\/td><td>Internal<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><td>8 of 8<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-registry:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>M-881 agent planner<\/td><td>Agentic<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>11 of 16<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Evaluating<\/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\">Model card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Intended use<\/dt><dd>triage support, human decides<\/dd><\/div><div><dt>Out of scope<\/dt><dd>eligibility decisions<\/dd><\/div><div><dt>Known limits<\/dt><dd>lower accuracy on rare cases<\/dd><\/div><div><dt>Owner<\/dt><dd>Model owner<\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"tl\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Incident log<\/h4><\/div><\/div><ol class=\"nx-cx-tl\"><li data-s=\"watch\"><span class=\"nx-cx-tt\">D-<span class=\"nx-cx-n\">19<\/span><\/span><span class=\"nx-cx-tag\">INC<\/span><span class=\"nx-cx-tx\">Hallucinated citation in summary<\/span><\/li><li data-s=\"ok\"><span class=\"nx-cx-tt\">D-<span class=\"nx-cx-n\">8<\/span><\/span><span class=\"nx-cx-tag\">MIT<\/span><span class=\"nx-cx-tx\">Retrieval grounding added<\/span><\/li><li data-s=\"alert\"><span class=\"nx-cx-tt\">D-<span class=\"nx-cx-n\">3<\/span><\/span><span class=\"nx-cx-tag\">INC<\/span><span class=\"nx-cx-tx\">Prompt injection via uploaded file<\/span><\/li><li data-s=\"live\"><span class=\"nx-cx-tt\">D-1<\/span><span class=\"nx-cx-tag\">MIT<\/span><span class=\"nx-cx-tx\">Tool permission narrowed<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Evaluation scores<\/h4><p class=\"nx-fk-panel-sub\">vs release threshold<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 128\" width=\"460\" height=\"128\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Evaluation scores\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">Task accuracy<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"neg\" x=\"132\" y=\"4\" width=\"169.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"307.1\" y=\"19\">81 \u00b7 req 85<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Robustness<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"neg\" x=\"132\" y=\"34\" width=\"140.9\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"278.9\" y=\"49\">68 \u00b7 req 75<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">Fairness gap (lower is better)<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"warn\" x=\"132\" y=\"64\" width=\"6.6\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"144.6\" y=\"79\">3 \u00b7 req 5<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b3\"><text data-m=\"rlabel\" x=\"124\" y=\"109\" text-anchor=\"end\">Refusal on misuse<\/text><rect data-m=\"bar\" data-k=\"b-b3\" data-c=\"neg\" x=\"132\" y=\"94\" width=\"176.8\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b3\" x=\"314.8\" y=\"109\">85 \u00b7 req 95<\/text><rect data-m=\"hit\" x=\"0\" y=\"90\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Model registry: the screen's structure, terms and states for AI in science.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">AI in science: how the risk develops.<\/h2><p class=\"nx-lede\">Discovery and reproducibility. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M6 18h8\"\/><path d=\"M3 22h18\"\/><path d=\"M14 22a7 7 0 1 0 0-14h-1\"\/><path d=\"M9 14h2\"\/><path d=\"M9 12a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Z\"\/><path d=\"M12 6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Learning from data replaces some simulation<\/h3><p class=\"nx-p nx-mt-1\">Models trained on simulations or observations can emulate expensive calculations quickly. They are reliable within the range of their training data and uncertain outside it.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m8 11 2 2 4-4\"\/><circle cx=\"11\" cy=\"11\" r=\"8\"\/><path d=\"m21 21-4.3-4.3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Leakage inflates results<\/h3><p class=\"nx-p nx-mt-1\">When information from the test set reaches training, through duplicates, time overlap or preprocessing, reported accuracy overstates real performance. Leakage is a known cause of irreproducible ML science.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m16 6 4 14\"\/><path d=\"M12 6v14\"\/><path d=\"M8 8v12\"\/><path d=\"M4 4v16\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Openness enables checking<\/h3><p class=\"nx-p nx-mt-1\">Results can be verified only when code, data, models and settings are shared. Proprietary models and data limit independent checks.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Scientists stay accountable<\/h3><p class=\"nx-p nx-mt-1\">AI can suggest hypotheses and draft text, but researchers remain responsible for methods, interpretation and integrity. Journals and funders are setting rules for AI use.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Emulator<\/td><td data-label=\"Definition\">A machine learning model trained to approximate a more expensive simulation.<\/td><\/tr><tr><td data-label=\"Term\">Data leakage<\/td><td data-label=\"Definition\">Information from test data reaching training or model selection, inflating apparent performance.<\/td><\/tr><tr><td data-label=\"Term\">Out-of-distribution<\/td><td data-label=\"Definition\">Inputs that differ from the data a model was trained on.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Studies sharing code and data<\/td><td data-label=\"Unit\">percent of published ML studies<\/td><td data-label=\"Cadence\">per review<\/td><td data-label=\"Source type\">Publication audits<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Leakage issues identified in reviews<\/td><td data-label=\"Unit\">count by type<\/td><td data-label=\"Cadence\">per review<\/td><td data-label=\"Source type\">Reproducibility studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Out-of-distribution performance<\/td><td data-label=\"Unit\">error on held-out regimes<\/td><td data-label=\"Cadence\">per evaluation<\/td><td data-label=\"Source type\">Model evaluation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Emulator error against reference simulation<\/td><td data-label=\"Unit\">error metric<\/td><td data-label=\"Cadence\">per evaluation<\/td><td data-label=\"Source type\">Validation runs<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Journals with AI use policies<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Publisher policies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Compute used for scientific model training<\/td><td data-label=\"Unit\">floating point operations<\/td><td data-label=\"Cadence\">per model<\/td><td data-label=\"Source type\">Model documentation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/ai-in-science\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 AI in science as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p08-topics-ai-in-science-ai-t nx-dag-g-p08-topics-ai-in-science-ai-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p08-topics-ai-in-science-ai-t\">AI in science: AI risk management, govern to manage<\/title><desc id=\"nx-dag-g-p08-topics-ai-in-science-ai-d\">Governance sets roles and policies; the context and intended use are mapped; capability, safety, robustness and fairness are measured; risks are managed with mitigations and a deployment gate; incidents feed monitoring and the registry. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Protein Data Bank and AlphaFold Protein Structure Database<\/td><td data-label=\"What it gives\">Experimental and predicted protein structures<\/td><td data-label=\"Licence class\">Open, CC0 and CC BY 4.0 respectively<\/td><\/tr><tr><td data-label=\"Source\">WeatherBench and related benchmarks<\/td><td data-label=\"What it gives\">Standard evaluation of data-driven weather models<\/td><td data-label=\"Licence class\">Open, licence per benchmark (to check)<\/td><\/tr><tr><td data-label=\"Source\">Princeton reproducibility studies on ML-based science<\/td><td data-label=\"What it gives\">Survey of leakage and reproducibility failures<\/td><td data-label=\"Licence class\">Licence per publication<\/td><\/tr><tr><td data-label=\"Source\">Materials Project<\/td><td data-label=\"What it gives\">Computed materials properties for screening<\/td><td data-label=\"Licence class\">Open, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">Publisher and funder policies on AI use<\/td><td data-label=\"What it gives\">Rules on authorship, disclosure and review<\/td><td data-label=\"Licence class\">Public, terms per publisher<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/ai-in-science\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Artificial Intelligence and Autonomous Systems prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Research teams<\/td><td data-label=\"The question\">Whether an ML result is robust enough to publish<\/td><td data-label=\"Evidence this page serves\">Leakage checklists; validation protocols<\/td><\/tr><tr><td data-label=\"Who decides\">Journals and reviewers<\/td><td data-label=\"The question\">What evidence to require for ML-based claims<\/td><td data-label=\"Evidence this page serves\">Reporting guidance; reproducibility evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Research funders<\/td><td data-label=\"The question\">How to fund open models, data and compute for science<\/td><td data-label=\"Evidence this page serves\">Openness and compute evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Leakage and reproducibility checklists for ML studies<\/li><li>Validation protocols for scientific emulators<\/li><li>Guidance on reporting AI use in research<\/li><li>Case studies of AI in specific sciences<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What scientists ask about AI in research.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"columns\"><ul class=\"nx-list\"><li>Does the AI-assisted result hold when tested independently, by experiment or observation?<\/li><li>Is the model, data and code available so others can reproduce it?<\/li><li>Has data leakage between training and evaluation inflated reported performance?<\/li><li>Does the model extrapolate beyond the conditions its training data covered?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How discovery and error both scale.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Machine learning finds patterns in large datasets faster than people can, and surrogate models can emulate expensive simulations, allowing many more scenarios to be explored. In fields with good data and clear validation, such as structural biology, the gains have been substantial.<\/p><p class=\"nx-p nx-mt-2\">The risks are equally systematic. Leakage between training and test data has produced inflated results across many disciplines. Models trained on past data may not respect physical laws when extrapolating. Generative systems can fabricate plausible references or data. And when models and data are proprietary, results cannot be checked.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Keeping AI-assisted science reproducible.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Reporting standards<\/h3><p class=\"nx-p nx-mt-1\">Checklists covering data splits, leakage checks, baselines and uncertainty. Standards help only if journals and reviewers enforce them.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Physics-informed and hybrid models<\/h3><p class=\"nx-p nx-mt-1\">Combining learned components with known physical constraints, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-ml\/\">artificial intelligence and machine learning<\/a> and high-performance, cloud and edge computing. Constraints reduce but do not remove extrapolation risk.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Uncertainty estimation<\/h3><p class=\"nx-p nx-mt-1\">Ensembles and Bayesian methods from <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/probability-statistics\/\">probability and statistics<\/a> to flag predictions the model is unsure of. Uncertainty estimates can themselves be miscalibrated.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Open artefacts<\/h3><p class=\"nx-p nx-mt-1\">Publishing code, data and model weights where rights allow, so others can reproduce and challenge results.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Distribution shift analysis \u00b7 Fine-tuning for a specific use \u00b7 Interpretability methods<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Uncertainty on benchmark scores \u00b7 Calibration assessment \u00b7 Audit sampling<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Compute access for public research \u00b7 Energy measurement of workloads<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\" aria-label=\"High-performance, cloud and edge computing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-assurance\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">AI evaluation and assurance engineering<\/span><span class=\"nx-mledger-role\">Assurance cases for AI systems \u00b7 Structured red teaming \u00b7 Post-deployment monitoring<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/engineering\/ai-assurance\/\" aria-label=\"AI evaluation and assurance engineering: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Reproducibility audits cover selected fields and samples. Emulators are validated for particular regimes and may fail in extremes. Proprietary models cannot be independently checked. The long-term effect of AI on scientific discovery is not yet measurable. This platform does not review individual papers; journals and institutions decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is data leakage in machine learning?<\/summary><div class=\"nx-answer\">The unintended use of information from the test data during training or model selection, which makes performance look better than it would be on genuinely new data.<\/div><\/details><details><summary>Can AI replace scientific simulation?<\/summary><div class=\"nx-answer\">AI emulators can approximate simulations quickly within their training range, but they need validation and can fail for conditions they have not seen.<\/div><\/details><details><summary>How should AI use in research be reported?<\/summary><div class=\"nx-answer\">By stating which tools were used, for what, with what settings, and how outputs were checked, following the policies of the journal and funder.<\/div><\/details><details><summary>Can AI replace experiments?<\/summary><div class=\"nx-answer\">No. It can prioritise which experiments to run and emulate some simulations, but claims about the world still need testing against observation or experiment.<\/div><\/details><details><summary>What is data leakage?<\/summary><div class=\"nx-answer\">When information from the test set, or from the future, finds its way into training, so the model appears better than it is. It is one of the most common errors in applied machine learning.<\/div><\/details><details><summary>Does the platform review scientific papers?<\/summary><div class=\"nx-answer\">No. It studies methods and publishes guidance and case studies. Peer review remains with journals and the scientific community.<\/div><\/details><details><summary>Are AI-generated hypotheses credited?<\/summary><div class=\"nx-answer\">The platform's outputs describe the role AI played in any work, so readers can judge the result; authorship and accountability stay with people.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Artificial Intelligence and Autonomous Systems.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/model-evaluation\/\">Model evaluation <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/agentic-systems\/\">Agentic systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-cyber-security\/\">AI cyber security <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-and-public-services\/\">AI and public services <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/autonomous-physical-systems\/\">Autonomous physical systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/compute-and-energy\/\">Compute and energy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Artificial%20Intelligence%20and%20Autonomous%20Systems%3A%20AI%20in%20science\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-in-science\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-in-science\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is data leakage in machine learning?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The unintended use of information from the test data during training or model selection, which makes performance look better than it would be on genuinely new data.\"}},{\"@type\":\"Question\",\"name\":\"Can AI replace scientific simulation?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"AI emulators can approximate simulations quickly within their training range, but they need validation and can fail for conditions they have not seen.\"}},{\"@type\":\"Question\",\"name\":\"How should AI use in research be reported?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"By stating which tools were used, for what, with what settings, and how outputs were checked, following the policies of the journal and funder.\"}},{\"@type\":\"Question\",\"name\":\"Can AI replace experiments?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It can prioritise which experiments to run and emulate some simulations, but claims about the world still need testing against observation or experiment.\"}},{\"@type\":\"Question\",\"name\":\"What is data leakage?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"When information from the test set, or from the future, finds its way into training, so the model appears better than it is. 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