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\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i2VaujqmvHenXgyY29b0r\/V55mki+RdrkbUrbVEJAUWO3ySjQeVHmBPJrYFnCxUYNFZRsZnUM0X2yproiI4W6EyrsIX\/fX7jDd5w\/0zcJ3N3lTaIMDbEUbWcNiJ+7zgx86VXr9G8cRMWHw7GhN0uOfWbjkIziIHRvzQdO4loYw8pSB2kp4Iin9KBpqs\/4gxxEMF8fpOGF\/QAcnUNIXYvM0r6jFSjvaI0QIysS+IYEZ3bRMWLRMWF7vYi7byTGKj3m3JNC0AC3xxq6Ig0dFQ3ll7F18B45XdSR6wwcdJBbjF6KaOekagXc6AK43BZeWsKnifzFJFrEjd+VOXlsp4ogypNLv+rYk5FAzE2lqejMG3evSSMChf5i+0X9DRWpoBcm0XmQZl1+cCVuGpGd9Rw385YNiZmYuXDG+BCdvd8+SnCQmAwssCckm064BC\/4+r1SscwGBGhDWOkwmxtCivv4Nu44Y9JWsD4xa+YpL+5KS0G6z1Gnt7i0b8m23pt3FAN7hFndiPcenv4dbt+Q\/6eS8uhdiNDLuENgk6w51B9sbzpJePp3tMbKX44Wr5GOXU3mbzE7+v2x8SJ6XUp6DGaM0NXrxpHZCaNAPT2g9hygXcoHHY0OnkXhq98Tu81vtbb5MVjdNfPp0PAxCOji4eSYETUtf9SWY3J8nK5Q4WCkZZvaiwppLyo6Sxr1v11GPIGQ8gRKvYIKiNEIxGij9O4pD7y+T0U7DeFym0kwshi7zhHTew0v659\/\/wzf8Y5QG\/irFwjyW1qV59vgzTtQygH+FYH+H5+Dy9v6Z1MOL9oHLg3STw785ZrX8GZ9ulHv4QRYn23Ke2j\/9KWvfAkYF6Pr\/0TXf6ZgcSgkFXgl42u9TQmoT90FbRsNR9Ju8VDQFnaTv2s63k8NH9OXq5mjO5WgQIfRxCppCWTYgSXGUqJle64NZ6AxStq1N5DXBydZG9rLKsO33NqbYoJzY7gkEaBMGGPOjSEJERWs6zrKaxo1YcO4zOuvT87T943mq+7T99tIVG4FLxA0n50NE547ERk6E9iBvGBinVExRGpH5jQZkh5uItsHJ9h1zTX0qmoWt0E4Potdtqd+DkNLkY5JCI0Nw+nkTbNyJ+lNkKc327yG1KZ3CSeTRgjf4Lv3KiLbFrIjxqh80TaTpavKs5QsN7y6CxTTMdw2ncn9mO39YDJjmB4ao1zhB\/qyY1oguHosMjrjnsrVKKxXRxJi4flTFxh\/qhWtSw7fJHYNl1N0NPnoI+2cZZlFNY0aMs5fZtNQ3f0ak4Ye36MsGhrmowwaCuYce8aZb9BQPUlEo2DROId5FgoFftgtmXSu2hbKCFjB7gmmcDqDoiovULKe\/6V98tAF+x9g8w8VyIr6Q1ZsP5hFi9aTLKE5\/S1ZtTI54c8apO7KnWQjDq7u6p0J92M9EmxfC9awb82acnEZ+0ulHAtYtpCXwf0LeAZVAyQL\/D\/l19r4D+TxrETgfwN7cz+qX7Y9sz3+mh2aG+WjNmkOrDdzy2A\/\/4hFhi80y1RM3P4gLu2OaQhU47\/ggNbNVB+aTve53E4IhBKoo3wbXZpznICGHJlBgG8L1LBpsuJY742n+MW2nzZPdW21\/+c+PSStu9bUSJed\/FyvpfP6oCUnPWFpWl92oT5OkoX5CLSkEsObQSr3cbhMrm+mY09zf5oFdfpQ3z\/oabfBnG71tWZbosxN273aiCw7oaAhzNCDEI34cBL9jvSPQsI5U8Ge62+0v0vLPCv1X6\/gMasRqs83OWH0MJ6DZaQTukc+RJyQXb7LYsD\/SmJp9oZHx6w4gUUnQsBpqKyHpPnRyPb2wFTUbTJvISeJMEeHNjuJCV9g0dSjQUwMPf9M4hu\/T0UiSrLyjILG89SlTDnB\/DI7W26bWiUpmwYmY8ly3S6PrpgudmGadiokqydSfXn\/LoQ49rSomyx+fm\/z+gyM6DJhdJJqI6qLEMx9\/UcFcI4N7RvrcZ4TKSjebutaenTHz0mY6Lc\/I4el2eb47aNN1EuILs2SFTVsDMswbZyOUYif4\/HSRGtGSY+uJ76mh6sOIiJT8Zol8DvjB1ccMPHfqQJ3vuOkOp3QUMQ0JuCIDh4RJyovMeCjROaEdfG9hgN1MgqqCvGcZ3hq\/IoygaR0x9iVB43vsxgF5Qnfdyvuwfc06J6P+fvldBvuLIh98XcruT6+OF0LwiRGqxHLDrr1LyU62MXNGiihE2YOP1kMgBLQpayaOQSlQ3uFAU53RU7F5RcwxM7UNzNasDA5QnJir5octo8B51DCyq6xG5kqavXs1FidM3Tyf8G\/nvEMzb\/AIYLqp33eHZYRQElZwCWXWjpwZ\/Mlg4vILiG6Y0ywT5ObEagWU5F8\/qChs8AWTwgL5ggauJkzBhhndSbIQzjj8mIHNzIjkBy7QUxHndJSKCrfVBcPP1ImN+D48ffnuA4xmyzmwp75VGNgdSW5CNbjU2l30hFMprMa3XjQ\/GuLW38udAl57tsupF3cT5IjDsMWSMJuK67ObLWrWk3fGTwAh4Wt0FvGtnR6yws1NmIsCyVaiGTjpaL4puEWaIK02cyTKqgT5CdRlEtXNv5athUskMcFhlTA21376cRws+LZLIuRO7Eq3u9N0HOJ7OjvHdB9UTafuzwD39c974m4MfgO0Zn39ISWyuY+AK9UTOw46fqvlONj4z5RVKohjfqMyuY0oy+yDD4AuJx8I6++chiQsGLDDe7Aobv5CS9fn+yn70MPZgKxT8M613PhODI4OJHpXEiuDJLjLYDkySBhys2F5MsgeeECSIEMEuaouZC2MkjbJRQPZZDCJRTfySDtllDctqQMZS2huW2PMOcSWHJGd5fQ3Zayuu0tobwtZXbb16U9r63NjKi3t7jVnR9Sf++WR9wRi3YT8ik7SNRk2OSCALk10404K9KsyBooZHyqYHKNYdLii9z+6G9ZePPiMuN0jmisWNJI49shI2RMyjPICj7\/W6LK\/5Zo53+ju\/hORViLZQmmMw3JYemWC8B+bZIAHYUnUFmOXO4ISn0TKqFvQiV8PimFRjmGPp\/nXYm95rmUvC8Sra5z+CR+T2fAuoNYWnTh76q1f++L5kQqy3x21\/yJRjJSyU2ETi5U00dHjqr2XnYGRzifKQKLLSA5rk8LuGnfhtYf86hJSOM8mkDgBZp1XjZaCVb6tzsZnaL8IQ2qrQNBgvJ7y9OCDHVlZ12MnkhXiEvU9KnTFHcQJtGWiJl\/Rvsgcrka\/+d\/G\/8Rvl1r458QKtX702Esj0vYFnC6P82GssLMo046J8liZOQuPTdesWCYKtMCMmxJRTOaGULF9ZX+C2pFM6fEGp6dH1d4hclDnEQcKOQko\/w027EVeqwAyp3x9Qk0Oai7uEHal7RfpQ76OUhOtFDmcfRz4KZ\/vwoB+jnIJppkgkTZNrt\/Ufa49UHhCZZ9YgfdJ\/1a26+sLfo58C7n\/cqK0Q9+AMzjFTH63gnHg4F4uowm8ORoZeN\/5LRyE\/Qj0grjbCloZW3wjx6Vupel9EkB+pHQJ\/XQz11pQpUko3KF\/v9FMe2FxZfp1r3jzwPi7hRSEVK2E1pceV9Pn8PF0Lr5xQhn9UWFwDIbsMPmKrLD+ERvVZ5GQeEvljcWRz4LxS5WkUlYFkoKz\/MJHMRASy6ecnFApRRPNnKXwZbb6J1Qg3q2vEK8E84kH445FbBR0c4Xk6hJqDdvrbBpquxQh50nYoXl\/Xi3iaEogvelEC+TQsOZNx+SPFye6maQXPbQibCYmMZZlWSne2ASXymE0SzYnRFZvoqrWnNECxepLIGzxVYJnAUPRSfTtoUbsMKfTtElVG+n8pPphFGrblKODBbNYM1KdoQQqWlmzRwreyc+wNkwDWs2iN6Coiszqo8zJyES3wmdCTk89Gka6Pklf2FKmK6Ffm8TAJqOtYQeehkAZBWmLb7CdN2AqrkTgW9J9sKU3qXkvMpDpAbfCZvplKHzkR18Oc76xseUeg\/qpCzy95YgQhfhzC40g37xJKP4eMcRwnotWVivtRwPA9zEJKjS+6jLe\/iGk2kKSTMPc8vl6fYnD1\/WCFBO9M71pxU5viL9Ehit+VWifH8gb6bL9i3phOW8\/QnUn7\/RCikK7jX+EJKErBcXjUb6a498Z8mv75VmNLp3yS1m3Jwf+daH289ecCqwQq0GrGQvVSpGU7lYTKntxTC\/Eb2WtgE8WS5apXa4wPWmhIeqmOPJsYh9dHde04neblw5V9bpvKi6qzJn6Gw2pouJPwZOZyEJxwf3SkzUhcRYcmebNWLS4YUwjOZETbDVetvJb9ZUynBP7ltBVzIZrlh+M2oafZo\/7R59vNVp1JzSgM+oiTPS63pz7WdJ3uL5Vbv4a4PtadzsxUDnOeaTEzszGW3ikO4uC5lJUCzaj\/NgUdm5B6YKhJUg9\/vM7mokqfd8H8dQxJsrjD1PNvG59VrDdevcfeP0Q7conQrWmt+P17Ve4hcaLXVN5\/WztB18KDGBmsz0\/ePZeso91bTbx2Z0FDmhe6Y6eV+AEVMAm9v1tbhxjjBVJV7cWfIcpR9ojkwZIG5arYe\/dmm1Xm5fyG8b+9g5htAgvSuin6cVdwaOsxjOQEBK515v7gfHX3p9BEysxq\/ZodvGnwzTPkwe6WtOHe7sD7lNczeFpjp4DM2mhzFKRZpvQZPFh3k2vLiEmBy8gk3\/4bPU70+\/Zro+tjsyb8OWy0oAMjkofg1PJvKnGQ4b9vRhDug2eautzMB83+xrOKMFhsY0CB\/uRpYuHNoACe8mNJdwW3Oo2yU+kTvT8U51wI3k7nzgesEGlK4oz0+sfdDOnav\/XObq1Y6F1dd8ZMHNHRfmMG2IJfIAh69m4DM59PLJgSQxeclfBBl8ctl5Lycioe2QiXod0y9HX1ivH+fQfczUSWF\/o4OO6dUtoS4houk7w\/HiQE\/X6dLqYB\/53sAHKB8SfTJnHJox590JKQ6qwWPbDkPbsX7uEYv6AX6xyQFi9\/tEaLLuiQ1aX+zR03JmkQVrP+aE6uG4dgwhm0Spl7gXGO4y3w4ryZY4OL5Js\/svFbBoh7oDJ+oE8\/F4UbMiOp6XHSDSwRP9zZJ2SnHuzm5l4z\/aI6iqqwkuHHdQJWloDiKqAx698vKEsEug+JnLG319Ajs3kOduvRmHuhxon3\/0DOrn1sc8tffRjqANCdU9Z2+fs8Koq2Mkf89wfe5WCH9N5EBhYPzboLAwVkSh\/jw+XuTDu5AqV9wlh377syQVD\/m8hksXQ7dnjrCvPbEmOOCU81e5HiiR0x2XWZ\/QAcQG\/0JyPw7vkP67QZrMs2GukAw0CIE21O\/zDhpQGs7buLKCk+m1AmtBBeGH3sIRFb+7Qmnx0LtDJo4VBZf7lIqpKMEd7nYP8QBv\/hY24M3fnnLiPNb6u1vzXWoCtY5IWm2gOR4N9pdZMsuJwAuUdlQycX7X6OQ+EFIH6wPCEKlso0WJ8432FdTe2smq46rM8whUdMDVoQvFCT4kPHK\/7zStvvc75o4NhXw9ZQ3Eohv2g0ZkuC9agOG8HPSMhzIN0Jy4vmMcI91RCYB72FmB9xAs9cfKaaFLX2ZTHo+0Xdx+iFPRkjl+UPLm6Xv7Ala6eZKFD43o2jRlcQOXCwQVKOI2FKRdrkx2YJ\/PUS2GZSl378doD0rlgVMHnEOX57m95K9PEeOPjjTtDJGtZsaRsHZXJED3UsG6hskQoPvYc\/SxzmdkEcZvikmETXW5yW\/zbZmRb78Ja1GhtVqD1trnvXbu9GCICAg6Mo6zX6AK6va4efQIdPbpnx8T3jDrePMb3h+6A8FfdCb9KzolR51cT9yp18\/pG\/OtilCiXN2c0Dv0i3o6xzYHipUO6oyNrXhYkBCzTakEcxg3MPn+YYk3ST\/VtVB3IffPPqY\/Kj34uHtJioDhOFNeJT4xSavuVCCG3ycJSbkc+aEGU+mdUBdZcexzPFFZo0jv6xvfi\/XF8XVHgJSh7\/OmSRwNlYIC1QtBqgSfxBDUJyTOhiRUQ\/YptgY3qE+jNbitL64zXoZ7IksxGS+5bXjXOuZAdVHrV6RaXzazPhVEAAJxW5abtoNdFsMJSwtwUXppEZwsz62GZtSzMskj9l0kBKquCZhsO4uuAY5VtNC+OERMTfZNUEGACoERhxbZ2Z+MJ\/QSBvzERKdgbQW5AchfzmOuT0oUDeIJwKgiDPcGbhAjr\/5yrZssfUc7QNp2f79rYErxodAiLVN4wSIZrKJHoMPFGhFc0K+PHuuIdfhYj6WEufXuwUk5uedhzDItLz8NXGvffx4psoSED38uPgVkjipAkoF8OEOIsyrOoQHaE4fL2\/RhhXCy8AVVc8fJ9\/6EVzRZ1pJjN75zmOfZpYbG1vpkhNYnhEXofzIc69OmPf3+R6SZML1trU\/sQdrDgFIKge+r6sJjwa6+tDe8fAEFupay9Iqf\/DiLhS4\/3NLxv3SVzG6z8rKJmQ+mUrVNdE90UbakUrcC+jM67PwzI9i8Qliw20QEaojLY5EF6dDpGsgdq7A9Tntc9jQGd52rQupI\/6leqvK1vqE0I13JrzHXmKUD6VueGX8YeXa7+7aLFPY3sNF8Mcle9BQPnNZTon3o84Hd8sHU8RlfKq0ltXB\/USg05\/+cMeipDWnHBHXbtvRixCj4IXi\/f1qM3sUYIa32XDPZafl4loHMJD2umYK62eDE4GsuibB2h8SE2Gi\/zvoVx2QVBjp1O0zH7pnE4LGezTH6sA+LheTioCy8ZsxDeYj\/HdUGnZ2qgi\/g+fGnBMoYA+055fFmcMuKE6yyRiajhNqXPCrTl9CmcHy5aUlUyoI6aChPUyR4uWnG3tKTSaegmhyWAW530SUty+Ym2aHJzXVeI9Hdgn\/F2ZXqWulj\/e9IiSWPc\/BeXhshnzWXUWf2vYKJDqbTFVk\/P8A6VWHEWQ7S9EnTS7KPCCBxAqB4fz3BSmlpe1vFgdAiJYbKjKWBNHFIc5VUezPbm16xvCYuixoYgXGGzalMal4X7RLjjH2VI89wpaeXL0yOoO4aJR1c6rhjVGdSjYF1zlmPtJdahE2Ut1wPZXTffAnetsfo\/SQnwiKlf2IoxY2gQjsLmStpfYpQXXFtz1R06L2tvW5uFtczrLJ4bzQguuagQg31xEjw3WYJ76PrLhp7dU8QlNhCI+2IMpEnb1e58pypKHHigbY8iLmBLQs9w6LDuipzeNNVHdwZhl\/XwbGUh+rIGLlLZfULwlc8pQ4wQ3b2w2xzsIwDHVxsB+o5\/hWt\/f\/+2USuRGZa209QFRZhYjc9EOnjSXxJWhNcio7ucoDqSGrdbBYzGhJ9lG1Gr5qNxpeiXaZcd+pjqwmcjuV9GB3LR+NDeOterFoOpc5kOVNoHnqYd5bhRLGdsArcy5sWne52KzhiIltvStsxQZ0lkPPWykSZ4MHFuh06u1Kcm7CDhA1gy73\/EsG4xGLvUI5BURYzxT2TXhiFNoZzK6WIkZv\/xlQacaLKwnj19vBNO8bFwhdPjNJzyL7Jri2tnFGzzGYqT6OrsLsoPV9Hs9dRvnmLctK+GeSmzpkSKybkQoDoyrytR6XYtsi5jaewG3HOuzZADLx857LffSNp2YvnOWnwkPY5xxDQRIGS99JY7\/7CrUPfu3aGi2ck4Bdd0H6BVZPFIO\/8XihPrvqekt7qUqs8usNHZoTRVO0GOUKNzV20nFiXaiVjGcKTO\/0i1CmmGBnEYbZygPwQAx4POtxjgSJBxF55snS\/IyeOOpWchE9nHWoLXw+yYIHSwh47jx0sLkotq5ZMcwTR+JApNhuVMv9W8mMca+U+rfjsHuEwhc2kGNDF68Erf8TVDIacyOMpa7pLA3NyJ\/WAxUwj\/9Oxd854nhpcN6Pr8pE6quiU+Si+naQJZpWWMpv5nzOMMhD4QftDn3x1keNjCqjmMhneX2AUL6+9u8CbQDuINLf+eTJC9brm6tssm2lSNHiBUTKVhLqrSQ3i5yEQmsp7bf18EEjjDwSXT0A5FlOdfcwhzXq8v2+9rqMVnkW+mKXnJFk1kixrZgJJ5GNnw43QXziIc+qsxWVUIRTAjesw4F9+lU50UMYfSf3GLcZzxFySVXRWPbfl0G4SltG4\/ctGh7obFHbaEV4x5djZq9ge27nfsK01KOo1u2vuZtRrE66z+lMzJe6\/wRxamymIG05fx\/6CJKvIvTUM93pudXJf76QKQX5+UPiRJyHLvEptPUovYlZ14ZRpfmY5mkG\/iXYAU80E\/SFeMlBHV2lO8jLjoMVbaQl078wK8GOtV9tRLrYeA2b5zUGHXbfzTBIGg29TuoW0+28f4GaQk31pVKNCCdnaCs9oi8XmY8Q1FsQWfTuJs\/pDefkodrrZu7N8MVPtFTuec3hKgEqy5v68U4mepLvGEvmm0kpHNGeUfHmyogvarmyJYJ6sCksXJPCs7miDOKcvFWya9xG8LrfJoqqhPIAhGIvqkGMVoHK92li1txA248Ts7inM8I8HljXa3x9GV4CK8u992cnK0zEVgKdLk3ApdkaGxCQQHnnn5N4oAkYgR1lGJq7+YkPRjI78TU6qZHV31Xc6OSp\/n1mrb+ESKc8kEt1EUWK3D8X\/3vVF3ZHOCpRPveuaKr45dVk1IzfL2+\/Y28wVfIEgN1yJboB0znONksWdZt3s5tH74vr3irXpkSikUxeDyFX+II6EPgPZzFsys4Ap4jFRvqdha\/MYM2Tbh2iy+9uuuy3D+dkeOn5lUPuvT+r3gWNjo9VxDLx+nJyrEa6uhVxrZigjBSfuAnxs+DeHuCQoGt+9lCfi939+bNckHpvpeyupQ+Bad4aoa2LygCSBOj0Lae08eRoezcRC\/w8JSo07d3M65pciV0roYxIb8ZWokBP16fuHVXPCAf9DPoeFRSDkSKvrPS2om7NlNkJ\/sm7Og2rhao7uG5clc\/PBXbEFOO6vl7VwmDelcfvhQ8YdOx\/dsbqQEFs\/yPogZMR0pSTgaCjLF8wsy6fft1hKrXNNCP3dsA7yejbLGIJiv7IA+jl0rTkokv3KDdDP0Jg1+5UH0E\/fhgqMw\/3KStBP31pl6LR25aahFYV9K8Jsv3Ii9NM3nkBeCt2js\/1VCtBP3xabr6DBUJMwTQKqvYLxtdqv\/CDy4I5qT\/OyTParNPXSHQ2nKBEp96sg2gah0z\/4YVr7VeyFOxdQbfZ+BYM4DlOqzdmvgAsSamg\/THe\/2qaJHW+pNm+\/clIAd\/S3SJkQuq5AVqDe7cRLw4BttvcrJ96m8Y5tdvYrL43c1GKb3f0K7HZRmrLN3n6VujCkmuuifE1BnqNu3cj1tpb4yN6vAt\/3I8kjZ7\/aeaGbROIjd7+K3ShIHfGRt1\/BFO5oNMoMoxACHzgW22yj6dgx3IaaHURpACk64WYX8StwI4dt9vYrxC5w6PKE0q1b+5UX2Y5nsc32frWLna1ns83OfpVEPnAg2+wiqgLPC9hmROwEBoAlACa05\/vbmG1GRI52buyxzZjHYg8GbLO7XyUBDNMt24y6xP8MzU1ZQdRnEgLXB1y7jSgeANfh2p39ygGuRS160u4iTt4mW49r9\/arwEuCeFgJdY2JG6SRCwHTihg58Wn+Rq2ox8CJXZdpdRF+XkDjVxPCOqHnDxQ85qCu99UxAp9ta0P+Z30JwzUjoMpX8oq1wT9fPJ96\/vwuiJ8T+Cvcr+wY\/QxyowR1g9BCP5RMPJ6aGs8tcACFWfvA3q+2rhtsU\/6Bg5jbdwKff4CYyt8BL+QfkDm2wfDgBR4xIwMPODHTipgqDVPPZ1rxyonSADCt7n6F1vjWZlq9\/WqXQovq7Xi54HEmTG+o1d6vfNQb2+rsV4EThRTPoFYXy60UWEwr6i2CbjK0Ali1Y7NctrXjXcC0oiXqMCNGrYiYFggDFgKmZLKjcEiuhG094KYu14z6swLP89hmNIHWzgq4t939ClqRFXLNqMswiSOKGKBlG9f3LaYVk9OnuQy1OkiQhV7MQnD3q2gHICUmUCuSs0ECU1pyIkcEIajjhFw7JunWo5cbbnew+PDcmGtHZPWi1OfhY8JClyJsnJfXBPXrpC4Nh7Tb+5UX+64PuXbEqO42CkOuHe1uDthRVCTtHpKKCYBUv6ecyHgHUOyOWlGfIAAUY6NWB2\/VO0pmo1a0qTtJQLEwaiXyHVCshqwhQlzE8Wwzmk24AxRr42Yk34PESwDbjCgbJG4I2WY0odbWogieZkS8p2kSBAHbbKNmYFEci5sd1BwAN2GbMce6ocvBxnO5i3YRrVGVFURC0EsjK0ipB\/Wpukb7Vbxj9uXYrMELKAqwXyVJvKNUjBipunW9X0VeEu48WsmDDVE+AyeimT0246q8INkYhdRmEZvXKkIKbJpuU4fW8s5lDbJ4v4LuDsTUtJpZDPerOE1CSLdGAOUw269CGIb0Ft2gpN14btMgYvY\/\/ADpKLvI80P+gYMlj+UKoLBICiQPMMHdyIM0wa8wN9OyrrOcKENbwD8trnEOQSUZKH58ek+qUqYco4d41Upoih++ZtgGSFG3\/LMoK\/Fsu9SO1z46wlIyG6S7pqxQbjmkokJ6sZLHZXNC+v0WbNlhAmw3+IkfeAMzXmB5yWErswEls9sHNtEpPeEBkmlWSC+l9gHZK6yt8IBsF1bkjZltOMXg1ye8Tz99502rJEzCJOZMK864waYVr8ER0wrYwAaAN628KIzjgDOtIi\/yIt604qBi08oO7dCORNPKiYI4svRNqyS0o8CSmFYh2AXAZU2rMPZtizOtkjByKRWImFYgcqOYNa18EHkgZk0ryw4CaufoTCuu68602sEYQFswrTywCxNXMK0cOwio\/jrTyotcsIOCabUFdgocqWmV7OIwlZtWkbeLoNy0CpMgjaHUtAqAF1FbDG1aeb5rhaJpFYVbn7JcOtMq2UZeIJpWuzj2d0A0rdId5Js9ZLD6SRgLplWaQBdsBdMq3YIdte460woiRT8VTKsodIAbC6aVn9oBtfV2plW8S2KYCqbVzo1i6AimlR\/t\/DgVTCsnDbactYtHGbmM2dKZVhxH96YVx9W9aQVjGCSxaFpx3N2bVhyHt6YVx5utabVzYj+BvGkFYWqnHm9apR7wQ8G0ihw7pBwzlGnl+Nam+3faurIdzrqCCUyoNUCsq3gX76gZaK2rrb21tzLryons2AMS68pHGh6UWFcg9Fw\/lVhXMA5pvqKsqwi6IeCtq9SBMI546yoOkphS0jrrKo6iYMdbV64XQi\/lrSsr8WlPU2tdQZA6tFwn1hUIEicEvHXlhyAOAG9dOW5oBRFvXdmOB6m9urWu0ih1E5+3rlInTijVu7Ou0l3o7XjrKgoCywG8dbUNXdcOBOsqDeAusQXrCgaxv9uK1lWyC\/1EsK6AFQTuTrCuAs+N7ZS3rmAKk9TnravYixJqHbbW1c4Ow9jirSs\/9a1dzFtXrufYfipaV2maBnEsWldpkqRhKFpXaRi5FFF76wq6W+jsROsqsryA3rg76yr1Up\/yCfXWFdI8qF2vt66QnhD7onUVRjuPtoE66yqwgt12K1hXnmX7Hm9duZHvhJFgXdk7m9opWuvKh\/EucCTW1dYRrSsndiEForOu3HSbRr5gXYVpbFNO0966suKAGklnXcWe77qRaF0FsUdtNp11BdOQ9oF01lWy8+nF0FlXwGIcSZ115ceM02mwruwoiFwgWlcgCEHgyawrzgTpratdHNuMKt1bV24aprtUsK5gsEstS7SuEt+HTHtnXcXxdkft9K11BXcQpq7EuorD2Ik8iXW1S6M4lllXqZM4WzDHuuJmYbCugOs49qh1FUAPuN6odSUMlLauLGvrRM6IdSXQlLKuLGsHt67UugrjIHFtqXUlzAZrXW2jII3GrKsd\/kewrqCXxHEisa7SJLUoCTJYV2kQ73aRxLqC4Y7eeAfrKvZ94EYS6wrZio4rBJqR8il1jKwrVNj3eGpGD+tbEwwlMvttgf22wH5bYL8tsN8W2G8L7LcF9tsC+22B\/bbAfltgvy2w3xbYpAU2Epb9er6Z6H1c+JEUocJqxD7Owfny2cfX7LfBy2mzC1BE9UGSOkHjEvnreZ9e87yOKwiLW9uFbVkvp6EQ+3tbiH3sMjIpKLvoPoU4VBTBjIa7iUEef\/5sW9YnwzRsJ0QAUFEu4w8jQJl11+OUQwk2jlCWTKK7yUjQR4NdC4XB5ePsLNv17CIHCzJHNOU1PrUVEruyFm3VymMFIrZ0yyFDS468Sn6FE5ThL5mXb51Ka2RFDRuctNDCl5+5a88TgNsqv2dyP70vuq1XLlwAklTgKMBA44+y4jgOhLCjrIo1HhxKYdLdWbSsT0PaAPRHH3WvKlz\/ejaLso6r7NLIeiGX8XsOQ1y9JkmjfOsTlamFSZMwXctpFJmeXhUEyftQAZTDVCcNC5JP6D7OZvRxBTLF0xweYZHU4y9csmL8YTNaQxVxVFY0t7GVia22dV+mD72WVOXFTLMceXii\/Fp9trGU5B8Z9DPtNLX9HVguW22Ak90Oq8lCLfjuPYMuebxeVKqmZ3A3+VAW77nqXCbw65OTDCzV9b9Z8C2+iVprMiMHxxVw0MXgmJcR5D++YfmX5fjWLRH94zRv8VZR\/K9mViTwDSVHELaUVvKZ8AUWTT21BklnI\/VF1V+NCySLyCBLKNIwUbRAdiXbllz3J17WtTwvMhZl\/aKwUPJr5kvktF1vhE2HeWLLnkyQYy4N2zo1Ig37yfXb\/H8OvrDbpV05dLs70sW6tedaSKwzPY\/l\/dEXGtOLBY\/h61N5gcXA8mRgTA6iCSowf9BXbOYUAJnMyTRZu2HprtjiLanGuTRVasjkTHHamlc4R5gdPLK8DEd0ucbgigVHAss6TA+1G4tifymvRSOkd8b3EC85IgsLkFLzcZaZTnLgP6g82IE0Qb9c2+5qi0dHcZek646rGQ4RZHE9mX4W4rys4SwBQi6FCfYTaqjjqsxzM4In8JKhYbU200Aor+MpRD7yegSqjsLNKVPsUoiOlyFBIc7rYziqucZftPdjewCPSRzYgePYuFszHpeQwZZX0Jmf4wDL\/nfdKvA4+ZGkyhcmv3hLltGrekJvuUIH1hSj05UK6YqHw19ijgVdIwoPnuTZmsgfNgWDMRPHVfMs5msMKCwE0CBvn+bbKE\/Ks+7L5WXe++iWbtQ8pvKIQpieYPzc56kL6Dx1wZAVv1tqgw2CVsNCK8TTqGI9kWgS5xdGWW1ktSrgeOmQjnX+jASueUE+SJjwJikhyUihCVryT24NY54LRr2crt3dYU0ycsjq5ullZOzhDHktVVWWXUHazaNqCvIa0qbVu7JuGZVlSTNRVQ+0ruKbKKvF4maLhHVTlsiyGhQFJJGRCuwGqoWFP5ur35eXm6aGZFuqzjtZI\/MxIrjIbuopg0ugsdJb4uGb7qzPkjJkKZcmKO\/svTY9eWv4hbRqJqpi9qjQmFXLkaCLknxNWqJLEdK2AFpExNzuUqq11DKRVMb4mf5gyomFBjhskWtvUuYqhfucYb2A\/EbJI3d2cUaScEpZLEGoSHyPJo1F\/uCoBElW9p5dkZI\/le5HpXnuUeZ5RU2XVvbdUWHApBNz29wSHTvgg4r2nCLENf8EzV9Q49ULvoaUmGLK6jgMH\/b6A0YKaZ0PWcBIn9Mv+yWYznw5MJpRu420GwKbc9tapkArtzl5RfFArLKgrV9jdVdHvV7q30UdkK0evl1AkQwa1EbjG07pmir3tdBAwETosiffJnIrd6RFt6OveSNMpLobo345jivQ8poPJHezWlGt4XFGUm42Ofx9Re18lWpRwyMyS+5fgJ3IYPbZQHO9udrrbXkhPsFXI\/E048Sy2seHhHQMw\/g0w+gQvl3aH7Ns2j70Virj6JqyhabH9fGrtetJ0wCPT9nlg63vpGR0dFFfcEVtuXPgajtTbX5X8xhX8bb1FB9+xenlA5x2aFpqiWREma1sos\/I9nZrUHveVGqP0g2qxupG0MBQ5pUl3dIyMGT90rZ1f4nSB6omiFNkZ2jaUhAvq1Y\/kftYxvxIS8+jT9lFrq\/cVNVEKWp8jLBFeJkVOI8q07QyITmdcNV+vexi1q8joG36IIRisB62Mwl78CGpHUS9VVW\/fn2qwCuiOkUwNMGgQqGRSQaL5rPt+gk8bmj5g2Ij1xsx0mlJRMQUgg2s0P2RKSRDS0Aya1gc8UWhR+HIxq8od4yAsSu7zWIwAv9Ajo31cAZsycxFKv4MRbd5ltRsVB4YzTwaaoc212EGmqbKolbwWp38Z8Q+lWfR9YQAp5kpsHkPqUrl5KRkdQY5FXnRqhQKB2KGFphkR1EdF6Hh96WOEAdsUMuatNs+OrTHFFK5EhR1yVu0GEucPl8NOU3D4dOaB1Og2zCRhbM0ckhHO4vawWpk55bscj\/VR0GqkE5Cm25Yxr1O1wd4XHEtx1\/icsXI6nldFyOl7Z8kyDSZXPMmSISUa5XCx1d23psoU30\/F2U02neo8uoyRarN4E4\/rzPi5Z1Wqcgx6Y1Z6qzpjqoaPCBicbHyen\/NsVAd96N\/3I1IJbeoNQ4QJw8hVVb5FFaUzc0a1T\/Vca5qDzfhTsSJfVSxrO7VZ9O3Pm3Qf9ay+pC4KgYfhEHOKedFKyKM56oVTXaZiLJrlyhSLlrhyyR0Dpngoj5eRoa5YF0J1ejY6DuvJcys6Ds0ogVEME\/8TizELg0R4mpI9QCpDbZ67ImQuvfxKlok6hvnQ2d9ClrlyQN6U2ccsKpT+BajwfLAwq8XC5qFoFpAz+qBPd\/muSKCO0L9MT4vanzY8iz3H91dsmJCHlUdIbuTU58Og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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1fhamb6.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=\"ledger\" 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>A-P07 \u00b7 METHODS \u00b7 stem<\/strong>GRA 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\">GRA<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">AI and Financial Model Risk<\/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>STEM foundation<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">STEM foundation of AI and Financial Model Risk<\/h1><p class=\"nx-tagline\">The science, technology, engineering and mathematics AI and Financial Model Risk rests on. Each method has a canonical page in the STEM Commons, hosted by GCRI, and a page here on how it is applied in this field.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-ml\/\">Open Artificial intelligence and machine learning for AI and financial model risk <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/\">Back to AI and Financial Model Risk<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"ledger\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>AI and Financial Model Risk<\/strong><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-ml\/\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Artificial intelligence and machine learning for AI and financial model risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-assurance\/\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">AI evaluation and assurance engineering for AI and financial model risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Uncertainty quantification and model validation at AI and Financial Model Risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/probability-statistics\/\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Probability and statistics for AI and financial model risk<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRA \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-s-3-sec\"><span>02<\/span>Methods feeding this platform<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Connected activity in California<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods behind the field<\/a><a href=\"#nx-sec-pg-nx-gra-a-p07-st\"><span>05<\/span>The STEM methods AI and Financial\u2026<\/a><a href=\"#nx-sec-why-it-matters\"><span>06<\/span>Grounding makes claims checkable<\/a><a href=\"#nx-sec-terms\"><span>07<\/span>Terms used on this page<\/a><a href=\"#nx-sec-pg-sources\"><span>08<\/span>Where this page's references lead<\/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\">The AI and Financial Model Risk STEM foundation is the set of canonical methods its findings depend on, from artificial intelligence and machine learning to probability and statistics. Each method has a canonical STEM Commons page and a page here on its use in the artificial intelligence field.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/stem\/#search\" data-nxf-title=\"Search the STEM Commons\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"finance\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Methods feeding this platform.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 methods feeding this platform<\/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-a-p07-stem-sr117-t nx-dag-a-p07-stem-sr117-d\" 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\"><title id=\"nx-dag-a-p07-stem-sr117-t\">STEM foundation of AI and Financial Model Risk: model risk lifecycle<\/title><desc id=\"nx-dag-a-p07-stem-sr117-d\">Every model is inventoried and tiered; development is documented; independent validation tests conceptual soundness, outcomes and benchmarks; approval sets limits of use; monitoring and periodic review keep it current until it is retired. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>The methods this platform draws on and what each one feeds. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Connected activity in California.<\/h2><p class=\"nx-lede\">For STEM foundation of AI and financial model risk, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on California; 3 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"california:digital\" data-ml-src=\"digital\" data-ml-plan=\"p-8fed5955\"><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=\"-124.5,32.4,-114,42\" 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, California: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"lstd\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" 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stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For STEM foundation of AI and financial model risk, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on California; 3 further NASA layers wait in the list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA\/NOAA VIIRS \u00b7 CIESIN\/Columbia, NASA SEDAC HBASE \u00b7 GDACS<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): NASA\/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Context: CIESIN\/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Optional layers (4 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>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>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/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:\/\/gra\/A-P07\/stem\/#map\" data-nxf-title=\"AI and Financial Model Risk live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The methods behind the field.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/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\">Gradient-boosted credit models \u00b7 Language models in operations \u00b7 Anomaly detection<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Artificial Intelligence and Autonomous Systems<\/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:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-assurance\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">AI evaluation and assurance engineering<\/span><span class=\"nx-mledger-role\">Validation of machine learning models \u00b7 Red-teaming generative AI \u00b7 Fairness assessment<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Artificial Intelligence and Autonomous Systems<\/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><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Prediction intervals for loss models \u00b7 Model ensembles \u00b7 Model risk capital or buffers<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/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\/uncertainty-quantification\/\" aria-label=\"Uncertainty quantification and model validation: 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:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Calibration testing \u00b7 Drift statistics \u00b7 Group outcome comparison<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/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><\/ol><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-a-p07-st\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">The STEM methods AI and Financial Model Risk applies, and why.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"2\" aria-label=\"Method\"><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-ml\/\"><span class=\"nx-dir-name\">Ai ml<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in AI and Financial Model Risk<\/span><span class=\"nx-dir-v\">Artificial intelligence and machine learning are methods that learn patterns from data to predict, classify or generate.<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-assurance\/\"><span class=\"nx-dir-name\">Ai assurance<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in AI and Financial Model Risk<\/span><span class=\"nx-dir-v\">AI assurance is the set of practices that give justified confidence in an AI or model system: validation, testing, red-teaming, monitoring, documentation and independent review.<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-dir-name\">Uncertainty quantification<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in AI and Financial Model Risk<\/span><span class=\"nx-dir-v\">Uncertainty quantification estimates how far a model's output could be wrong, from data, parameters, structure and use.<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/probability-statistics\/\"><span class=\"nx-dir-name\">Probability statistics<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in AI and Financial Model Risk<\/span><span class=\"nx-dir-v\">Probability and statistics underpin financial models: estimating default and claim rates, testing calibration, measuring discrimination and detecting drift.<\/span><\/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><\/a><\/li><\/ul><\/div><p class=\"nx-p\">Each AI and Financial Model Risk method is described once in the STEM Commons at GCRI and applied here to model and AI risk.<\/p><\/div><\/div><\/section><section id=\"nx-sec-why-it-matters\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"stack\" 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\">Why it matters<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Grounding makes claims checkable.<\/h2><p class=\"nx-lede\">When a finding names the methods it depends on, a reader can see its assumptions and limits, and an expert in that method can challenge it.<\/p><\/div><\/div><\/section><section id=\"nx-sec-terms\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-8\" 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\">STEM Commons<\/td><td data-label=\"Definition\">The shared reference of science, technology, engineering and mathematics methods for the Nexus network, hosted by GCRI, with one canonical page per method and a named steward platform.<\/td><\/tr><tr><td data-label=\"Term\">Steward platform<\/td><td data-label=\"Definition\">The platform that maintains the canonical description of a method in the STEM Commons and reviews how other platforms apply it.<\/td><\/tr><tr><td data-label=\"Term\">Artificial intelligence and machine learning<\/td><td data-label=\"Definition\">Artificial intelligence and machine learning develop algorithms that learn patterns from data to classify, predict or generate outputs.<\/td><\/tr><tr><td data-label=\"Term\">AI evaluation and assurance engineering<\/td><td data-label=\"Definition\">AI evaluation and assurance engineering develops methods to test, monitor and provide justified confidence in AI systems.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.federalreserve.gov\/supervisionreg\/srletters\/srletters.htm\"><span>US interagency revised guidance on model risk management, SR 26-2 (April 2026), superseding SR 11-7<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.bankofengland.co.uk\/prudential-regulation\/publication\/2023\/may\/model-risk-management-principles-for-banks-ss\"><span>PRA SS1\/23 Model risk management principles for banks<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/eur-lex.europa.eu\/eli\/reg\/2024\/1689\/oj\"><span>EU AI Act (Regulation 2024\/1689) as amended by the AI Omnibus, Regulation 2026\/1744 (credit-scoring high-risk duties from 2 December 2027)<\/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><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"project\" 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\">Pages<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Pages in STEM foundation of AI and Financial Model Risk.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-ml\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Artificial intelligence and machine learning for AI and financial model risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-assurance\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">AI evaluation and assurance engineering for AI and financial model risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Uncertainty quantification and model validation at AI and Financial Model Risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/probability-statistics\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Probability and statistics for AI and financial model risk<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a steward platform?<\/summary><div class=\"nx-answer\">The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-12\" class=\"nx-h3 nx-mt-2\">Around AI and Financial Model Risk.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/about\/\">Industry scope and publisher <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/sector\/\">Financial discipline overview <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/research\/\">Professional research <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/innovation\/\">Technology and emerging practices <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/readiness\/\">Resilience and finance readiness <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/programmes\/\">Research and industry programmes <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:\/\/globalriskalliance.com\/ai-financial-model-risk\/\">AI and Financial Model Risk 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:\/\/globalriskalliance.com\/ai-financial-model-risk\/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:\/\/globalriskalliance.com\/\">The Global Risks Alliance 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:\/\/globalriskalliance.com\/trust\/\">GRA 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-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">AI and Financial Model Risk<\/span><h2 id=\"nx-close-13\" 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@globalriskalliance.com?subject=AI%20and%20Financial%20Model%20Risk%3A%20STEM%20foundation%20of%20AI%20and%20Financial%20Model%20Risk\">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:\/\/globalriskalliance.com\/ai-financial-model-risk\/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:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a steward platform?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#terms\",\"name\":\"Key terms: STEM foundation of AI and Financial Model Risk\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"STEM Commons\",\"description\":\"The shared reference of science, technology, engineering and mathematics methods for the Nexus network, hosted by GCRI, with one canonical page per method and a named steward platform.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Steward platform\",\"description\":\"The platform that maintains the canonical description of a method in the STEM Commons and reviews how other platforms apply it.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Artificial intelligence and machine learning\",\"description\":\"Artificial intelligence and machine learning develop algorithms that learn patterns from data to classify, predict or generate outputs.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"AI evaluation and assurance engineering\",\"description\":\"AI evaluation and assurance engineering develops methods to test, monitor and provide justified confidence in AI systems.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:dc425903d2a9bbd4 -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto A-P07 \u00b7 METHODS \u00b7 stemGRA dossier \u00b7 service level R0 GRA\u00b7AI and Financial Model Risk\u00b7In development STEM foundation STEM foundation of AI and Financial Model Risk The science, technology, &hellip; <a href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;STEM foundation of AI and Financial Model Risk&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":169,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","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":"","footnotes":""},"class_list":["post-79","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/pages\/79","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/comments?post=79"}],"version-history":[{"count":1,"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/pages\/79\/revisions"}],"predecessor-version":[{"id":124,"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/pages\/79\/revisions\/124"}],"wp:attachment":[{"href":"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/wp-json\/wp\/v2\/media?parent=79"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}