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xaKCg2qUaGEzauHC0OLVEc1Bq84XVEfs2hGKjP77VjQnF+6qqJhfXxXcsNt2R1Ho9ebryydE79k25\/SiovOb1xja954unvjqnbBN29Oyjm+JzklpLDzYlHN2X33komOxhXOuxKe+iFajEYPsiP\/8ucPsV2WEzTOPPbFpVaopWlp1KufKSr+03EvFbm3XTxTldF\/ZW1WwelFSUnH0nMra2Iao1b7lW8Pid58\/kXrq+JY7Rbm39p8q3TV74bKO1IBjCVvbo5u3XSmJu1E3JcFzTWTc1Dk7J81FqCvrxKWiMp9TsV2t6NULwUdL2rKWkoZdwWfTc1ZsyissrwuZUlyvazmWv7Fozwf5nevSzjfNqWgtbMiKXpeyun72kqqs7rK81nEVhRkxLXE1iwKjG14sddmA5g\/0Clxqi+atOV3aXVG2d\/O+dfmXiy7vbdp3Nipue+D0kuPHz24paU86t1h\/YlHzqYLcgpaiwj0lWdsiy7pRU1nFob3dtSda13VlL8nyz2psTQgv3R\/cmrVxUnn8nnjkcXrzcuvkwOFzI\/090cSQ2NTEm+3VlwMPnMvvOtaAHC7dLY1Nr0o8emJdbmN9zLrje+edaViZ15gcm5K6s\/HY5cotEScrmvd1RNbVdtbGbl4acb6htcDn6H6\/pLMtNXtn7a89XHokonLlzAWum2eNcXXaMKq5OaOz+XxRfPvVxVvHn8zPGp5eP35b5nnfQ2f2V7eX+ocd3LKv+Nj1v3uvLKgpik08Oi03s\/ZmZX7BqfBtx6pvLC8rSj1Y1ug+afGp8ANHjx8oTz2Ruakmb3LkiuWxTh6LZM8h65r4bZP3FZaV5u3b7Zt8uvHYkWMZZzqK8+JntR6tDz6WeDQv5cb51mPGkunnzr689254iTEl4tyaCzWG+eFVmbt21V3IaK7P6ag6ebhxb0tF266MpEvJJXvbD+oWT1kTvkk3Z95zizriEreuHVnelr8zK644Lyz9Vnpt4oS\/b+++VpE0o2JzbVZZ2on0s7VL0iZVpAVtLT9lTLuUVl11NjF6x4H8mOaUgIzMws3VHxdvTGus3rshaU5Y+j6vlKiQwXpNwCSXFSssfMPHLT3evK05as4W17P2JWeac5ftv1o9eWdZxsGMvOqolPiu53aFlI6\/UlgXVJFxKKFqX0wsSogqKzzul5tZcCRHO3fpDMfI6LBNpWvOReRUlsaklRyaW3ulAqGpiyYNnLts8uzIWYblBW2dV04faHjh9oKu\/PqcNxujV3XdjNGkXZvjfTjnRkHhmbcWFuWMr67eWNOV2VCpqePz9zef2f\/y1qquivRZR0+uSDqS9+K63TUtmWmBp+8uGtwaYouGI0TskZPdmBB7NCcrrrypqPZm2fytq9eMazuwK7e9tbxj8478V5r884sjC9JKr+6MqcrMXp1asuVybOXZAwVnt5weossr2FUdUzVoW97FzMbUg4Vri2MvNXufqT2nixuKVlm7mKHFaAWyp5Mne6PlJVGJA66GnUi6Unp096nEwAuvlrWVHyyOSzuTWnr46HN5dftqDs9vzQ7cu7AsrSKueW9R5pabjftbQyJjNt441RQ7fV1M5r4N142j21IOlZx\/TscNdffzddUumubpHu0ud5i5XLax6eBrS1fW5BlfKqoqnBVVXaras+eV1xfsTVy85PUnPx6+df+h8FOBv2fmxUUVJ8tDUFr+3pIjkSWFnSm3S3LbXinOyt3cGNLqUh9sO2C82Sw75PDcoADEn9EhO7RgktZkiOOgiag6Cs06u710d55vx\/4rQ2vjiqt2z2ypvlJx77MbvU8\/FJ4IJ5PS63JaS\/JXvL3rXENS9+LWzKzghI0Ls\/Jaj7W9XpRV0TIrQqd3HIS8Rir4ey82PPQVWiLfV\/hzU1fLLKYs3BZztKL4xNGcq0vr3KuKcrpmTi+vHisIS778SBDu3Cr\/5n5v7atV5fvqIud0XG47XLHAmBu0eVdGd2TR4em3utveiFs\/eyEaqVXZLEFD0JVTx69\/\/Z7w8smetDef147H9jZo2pjw8euPo6NbqvZUVu4uMHYHJI5Hs14ThG9uCA9u1Qkv\/vNeoRDUsSMuZFNd5l2UMaG8uGZXWM3G4vi1iWs7EJrrpXbzXjDAe8asqSjiqfD3j4W2b4TSi19+1DDNk0yYMhY5jeavtq5Kud6dv7sy\/eLCv0+3TVo4Pl8ouDD64fmy94S7wufvXG3Jqa4p6QzrursVtzYe2r197cvHutvPpLycvn6yI5qxwW46GoMQ2jzztdc\/zv\/xu7fLPxeE51t0CRsH62yIfPSqqeVBd+raTnWuz+zIbFqxbtWUgY+EQ99cOf75ly8X3ul98YcnR09cvLwzr2vPjpjtnXXHY1aX22ek7S7eVrMtLA4ZvMKmKMY4ONlTNGlb\/nvvC59f+2XChJPdSxyQJ5ocgKYitFGtRnVHN1RVr5609PTKPf4WaB76JOyFe1eED+qEVxreuDCzsvJltLO4Ore58HjxkXfTD+\/dG7P5aKEzijZZtxwtkLl5qB1m+08+uashPO5yybXUw10VxZlnJphPDxvLz0AOyGc4GjpxRlN+dNeN9cjeE03xGP9ZR\/eP7\/xY1Him\/vgKVNBy+ExmyfZ9wY11WwdOOjgj7HjQa82OkbEuaJz3OrRhKFrltmw7aly6OyK3bEfqhM5LnYdOVVzJsES2KGaBjx1GYxw9Z1K0dORAhBLM0aY18wNmL18gdAjrr+73b8w+24wOnLy78PCiq\/cqcouiyk9vja1v7UB+KAwtGDAcwbPAOHjE\/rcSm0rS8lPPRR7KPZ8Vd6HlUpDWYbUm1hehRWMRQjZopoMOJYe6I4T2+A8dv3pU6IZJmxPO+WTP6i7ZeVYVVXNhz7TQsAkzh6J5CKmHoLlT1i5bg3zQ8OWj\/LZs80AvpM81nLsdVXZxe3TphfroK+XnN5qM9NroM79hLJLrbMYNQp7IXLdsyiY0VR8+y2nR2rVLsG\/RRcfTxYml+w8uiax4rsl2PLVBAWixHxqkWz5mQXiEi6XcVjNx7uxRkzvi0l\/fUB6SfuBMZdP1E\/s7D+QVn5yHtCvGDzq9sapm\/yQHhGYi20mOUwJshiiWITRROc\/TNc43FbmjXRmVJjtqcpqjJnmvnoZQ5JLFAdTTuG7lxrE2syb4mQZN8t+E5tR2ZJT737lcUTQzagQq23upflNp0LBNQQdPGKMueqQ1Zu6qzL863FGJ\/M2QzSyF3\/xloxZH+kbNsV7uMzo42L+oqCItb+gSowIt9JevW7Jx9TD7hW6z3cchD\/mysCHrvOa\/uB6FZ2Vlh+1NaQk\/VJXrmb8ie2FNy87D6xsXH9xZe9l\/S\/d245196adVwyYZ7JwHeS8wmb8gYdScKSrN+Bn2CE30RZZJrusXoGkLJyC5dfSMVSs99RPQuNmuU4ehaauRi3Vu+wvNOerkE2WlR\/ZnDauOrkg9VJ99ISU97eS6He7Gdxej5L2JuTeuDRvm4jXJxwmhkch2wmg8YQEa7jTW3m3JrFEqhDborbzJxKHTkF7tb65QjUND0EZkvcEJjTOgm9syQrZcXagpbgnNSM9tX9RW3FhX3HCqOKelqyvvkNXzeaRmb2J36iKEHM0WrXZEBhvzkaqpHuMDh9jKl6ARCt\/RU71ZLc6aMBxZIje0xkE3ct3kAasnrkYT1nkeK8pVlCUUl5w2D67NKz+xeMHYsmN3X5l\/ZE+BoTa92KnkVsrlpsKoF0s3IMWEKQihkWQCosjJfbwCeSD9sAkcmoSGIIul5mOQxySTEQM2zJ+v5pagYVHL1q1eM6EhrzKvsWDDltU1DR1h7ZVLdzUFzErN3X6m6kpeVxLa3J10qvX8mym1+7d\/tMYPLdOhsWgsGjFjtDtClq4IubghHRqNHCfqXZcP9po4xkk7wA05DkSTw5D57BANmuh7ce+hytobhbtnL4tqeP7kzvTIjsHbG+tbl67VZ6dWlLxQ2fi+awPqLC040YEcNs5Y7bfQgFah0Sh4VVJiSXrTjWvL\/PHCe5++diNgtoWFdrpmELfS39NkKpemWjZYFb5uYlBcy5ElyS0n8zZf30Ozlo8vO9KdVldYWvVSYfL066u4edfLK87Un4vJLqk7s634b51zkktIbWL20oKKzLUxNaHFrRGXs42+wu4XhdkhIwMU310RXhHevoUsBriiYUvWrQ86X11dez7\/xpzYwsyGTVP3FHVXdxbFGMumhu6rXrInvLRrxLGL27oil1+KvXPqdldpUfDxrZWLM67l7G66WLAutz7Pu\/ZwfNOKpT8Kd+clrPEejQ6994nw6pMvgoMDggI9o0eh9NZuh\/jmtTkN9d2382d23q7MW12yZUfPj4+e\/1QQrr0j3M9Nfje2pDA121ibN+zo0obkQ3c2Z+WXRWzNyi9snJ609Jpx2ImYelvhnaff7hTe+KXjkXDjh0uv3RUUvh7z56F54eEdIXeP5dScrVvXsFnfFdrW0F1+qizjkx9vCsKPwR\/e2X778yOtu+Oah7W3FUWjnLQt62+Vt3dMCtmeurc+sqrC\/kRyDdp3rPFC75OvhReERuHtDz\/77sujwm+bXddNcfZBKL0k6+XS8\/a7ViWsqMutOXCgLcpiVcz+y5fqbgrCl69fvPpJz2uXo7OvpJ\/Ia0roXtHRvPbgmSu7p2VlzE3bfqO7sHNOePuRpYe7lr\/x8mPhSZ7Q8uDhzs6jwm+fCJ+jiNBVKOn5ldlhWSX+L+2blDQ29dKYoIKSeaH7tqXkXhcE4eTHD1+\/2HRZSM5ojf\/nZRS3PzC13A9lZe0\/YlpfWZa7rz6jsTQxOb69ruDIoTvC80L2P764\/ZLw5dc\/nBE6Ri+NRDHGmxdOnitM35988XzElIPzw8tVHRfON3U+n3l2yZnez7+6\/U3X91ff\/aJMEITGorK8t6pPn0JljYnXQjcfXL0o8i1t8szZ9gfcd9ZXVwU0HK7p+PDaehRYViF81lsSgmomTEF+HdknXy5KW7\/0UlTxmcKdTSfWXivbXb0rN\/6FbcdvfXf03UPC4cwU4cGlTz58vWJpZnptW076ofD67qTK0Nystn2xaQ3zDofuqTjaXRJal9x0ozrb9nAWKrXanJe5seroxnzk2NA9teDA+eS0vOtte+P2HimK3VmT3db23PPBN8M6i4+99MOt2z++WnZJSBa+\/+rWC5eH7ZsXNLvuRn3n+vwyj4qkpOWZO4qSV4dta9tkW5Ges1TVXLwvOTz34PmU6tprxbk1N4wX0g+X3K6MiCxuOH72ysm\/Ne3IKMovvtmwq6m0YFzknraDu1HR6y09wo0l+bcObUrxzK7sXtNeU3Gw8NSe6YX70tLX7K9O6iwt7m5q2NK2sGjvgcL1cz33DN5ZMaOpIDOz4Fpb95iWpFeNx+p9ZqGM6K7ik+U3g8s2qlasLay\/cLguObi2sWx\/8YaZbf6Xb986mD4j55BnZWpK0tG4ppxz3aX73p5VcSLfMeF6VfbkhszmsmWnk+sTd5RVrquu3jqoqDmzrv7WwWtHT7Vk52R11DV3HjXU5McaK0dtP15yOnbX8hf2x+55MX\/FyDvHJi\/NvbDV52\/ntp2tQNGpTa8VhZXvS3+r5lXDwX1llakt27Obaw9lb4wo37d1eVNSXlrC4qK8A6cPNmS\/2BDTtacm4XLK7vamVv0y\/70JxbE5mye3V2Sg3NbjGS2lR67l7Sla2Jawc0Lb+jUHilOnbb5VfqijbFRlecbBmpLE2u69RbOOxV1oXpqx5Oaa7qOVp3KKYuq31B3MS5+al7svu6qi5f09Z\/Y2Tt1yqqh4levhiMn7d0xZX32hdOfWhBMvJdc27itKfyEtZ3vtmg3RebsmrkndvS+lKb4yLTbqxKZTzZWZpYdLWo+cTUhOTT64ZOves10NyV3RDp1N+1Oqt2YkOHd3JayZnFx64c6FzJac0sKOY+1Fx68sLy9tPjAnKz9v95tn0tPSOluqlqAXdiVWJh6q2VZyJmXvhC3b\/Dpv7miv3BSaO2VDSNvBirm78lpCT287n3Fs48yiY9lJR9L31pgWxS7bmLO5vdsJtS7bkD7lqGcELljX0nY8qfxQVXpW1cXIjOJZrSev5OYtCbi4vSs4Iye\/Y\/3m4qbzm\/c17\/nydkrpjv2pRZ2l56dnF1XMQSlpxS8febEzKc064mjdwNRza3Ycre1IaL98IjElM\/y19uWdTWcW7KwtnlYXU9xtmjf+havTG0o7j4eV7DlekHtmw\/G3di+q6yzb0JJcmlIwv7C4at\/OY9mVLVnZuy7X500Mamu7fXj0xZjGquUt+zJWHt93MuhoW\/Ox9IKtljXx2zcmbus+VJhScW5ac13uuuTjrbXnm\/Rr5rTltOa0GTYVTi8MC\/fPv7TsxfgdL5qU7uwuQ9mLVgaGJM7IS2xbG36squLEsqqi5dtWVbYn726+vWDf3YoLOalJR+KyhjaeWFxY3Z6VEuK\/tfLY8SaUntGc01ygb14R3x19uuHssnrPAxGX6kZ079p7IOB6eePt2YWFFrcv76842FLRPLvJPXJrYlhqXEl+WdRVY\/Ox+fsDS41LUNnhlFHldUcTNu7eEXvqdHrexiPh5+rK4idvqzl0M2hz0p6EubnHSrwObjx4bPntq\/l1rSW1poGh9XtqYzK3Jm6r+KA1u7yi8tC6xpaCzj1t+yu7Wk6s31hff6l2a9bhwoIjJ\/2fy8o6M3l\/4uU1nXF7DjQkpGVXHjo2sfpyzObG1pMF11tSS8+dO7Cz8sTylXvCM05k3zlevz+w48Lu4pkpDTs3n5jXtr3mxSVb\/A4d7qr59MhGnjcdaj2IpzIapD82Qo4xfv3Nh9aUoxQjjBHCcpWaIIxtrWwwR5W8xkplIsMYYxMTc7WcQwhhQjDhd61cLBs2VEawlUxFMMYUA2RiQginkJtSTinztlxoKceYhM9O5DAhShkvxxhhQk1kPM8rOCWmnG6YtZmZFQfU48aNk8lZEMoRwk+PNFCFmsdYznMQn+MowpgjHOE5Qig1pTbESq4gVOExdiiBsJjIOYqJQunEy9UjB7uZaOxnhagJphyL6lp\/GtIlhONkFFNzRw2WyXjoGZbzhFCNhVpJCKbwAmHCsf8SDnICXRAhRMGbyGVy4mw7w+U5mUrhIlc5RjqNtDQD2bBscLA5RZiq7Rzs1JSTqUyowtLGwsaSwzIzmZnDbI1KQTBScDzlGAcoySkVlIjaIUR5Ba+WKzkTpaXMnnr5nXKykTkrRqhkLD7mLSwJ5u3cTTQyU4WKYkIUA2w97a0JdvKysDCzoRwlhKOUEIIxwRgRrFJaUYwJYeGxXE6pysSJk3PWcooVxrP2CuKgCXQwZyJghDlzTqG242VU7rx4AEGEH+uxeehASlUOFuZmakhBrRvobDLATkYo5hFP7GwHEYwp0wyTgXYywvODeQ5TQvDIzG+M4wnGMp7IzTREQSlRWZo7DZYRzPF2o8xAepmZDUcwpQSSpoTIHFbwSs7JlCdOZhZYLrOzGKLieI0ZxRyhmMplnNokQSYjMo4qRkxKcJEhhHmKOTM5pkTlU3+7tiNjiKPCUmnjNNSGEKoa4jRp9HAlRygIw3Fq+xm8\/YDQMTLCaQaqLU3tVKZKTmm1y1Gp4BSYUIXKUqXChFdzlFeqFAqoa55Q3lRBLMw++\/7pg8dPfyk7UdGlN1cb5pkTIvdu\/6nTkyOYU5tSolBxrIEJR4hqfMBQu2FDTK3NbUYlXXVT8jyPEeJkchkHo04VNkM0ULJUpiIKTKBu7vX09jztffLt5\/d6en5YMcqRx2Z24avf\/2SLCeVMZApqbhitwJiaWprBBHCZ5+k6eBin5NXE1NbFnKccgRHkFJTn5GqFhldSrJTZKDRKquaVSkr5W\/d7e3qfPvrHTz2C8KOXXEGIpcPmeXPHEoIIJ1cotHGLFAhRSinm1GNihyplKg1oSNWctUZhqlSJo0x4wiksvO0GUmJpbcfLZbyFmYWZUjMoov7vv\/76zddffHtfEHobKcGYp3JKeKgs2cDhJnaTJikJxpxSRTgzW1dLBaUyQjgN8BHMmQ+AZQemJ1HazlqsoAhbWVvLLRQcb+XuZq8xHzBs06e\/\/vLrtz8\/6un97QN7OWElC8sWR1Sjtg6W246whgCwPA32HqXgmYPMScnxckI0IyxgIoMDxjLbuaYcxpaGFfa2cko4jUZpMdZOqcq79taH3\/\/y69Neofe98TIZZUsAkQ3m1WYGDhNeRogp8GJTtVpGCcxgRxc5iyq3ZfpQzRBYs0w0MCfkVoPlclh9qEKOCeZ5i9UXvv\/qu2+e9PT2fOnPK03lShWPqVWgJYflHCW8hhAnDiGes5KpKGGrzvAFKkw4Oac2UzAeiwBrDnOcjIfJzvOEA6E5UzM5rzS3tSr4++OHD3979LCn51HnFF8Hc3MLjcLJ2WgJkw385OawWMuVljxb8WGxdlQQTDiiMFk0wJkSMmDxcBnl1PYeQ4cOMaeY8DA7efPBJpzSQk2WPRR6Hvz64Lf7D36+e2zzUIVCxlE1p+Bl4sJpY2WHqYxTObmaYkJ5TIlC5mphyskpofarjky1wZhysMrysxKnjp0+hsPUREGxTGOlUpn7efqkPBbg6e19+uTRk6dfa2E+EZ6qLazMqQLyl6mJ0pnDqsFOhOPkmKMmnNLUhIfvi7lX\/XRrTEzNTAkh3Nbs9YOGWisJr1IoMZHxFGs80s7\/2ivGF3p7e3p6ev7hTTHF0H2ZCQ9qwNDK7HiisFSKyxqRmcgtVaZmlMMqfqjMhFCeo4STy4dqOKwwMyOcQqngZFaUICvj\/R5B+D1+ryD0Prw5huOIjDdTyhQc5S1UGOoVY6IwseXRs0fu7u8IFYrtrG2pXGHCy6iaU8HocBZK3pQfYTJonNcGiw1vQfI9gtDb84hp1CsIPfeyJwxdNGsMBOXU9hzlBnMYUZUJfPOs+x5sp7WEQiHD1BbQW8rJLMxU0IRyHFWRASNPnP74p0ePIeMvwup\/NN6Zeu\/JI5HgySvOFgOfs2LFPMZFIVN7z1RhOU\/RH+GtkQwWWJmMKDk5lanlaqWM4+S8+C0n9mYvvPXkUd+w7re2tr6D7ty5cyfqp\/tsLHo\/LFk9e4qMx7zCVk2VVJ6\/et5pe+t+D0KUKCxtKcKct8lgXq0215ja2w9SEKLwW1rf\/fBRb68AwX7t87\/Dns\/EsX78XYRawSsQJiZyTobxb++\/9Yk3c5AQEKIw0RBE7E54qzjFECX7uHKEj\/y5p5fpwJ5NvzeA5ok9fcX0zSRXpYZ9zIkMk2\/v\/fo47U5\/AljXOI5gk6WHzTCWDRxkylEi57ghX0H7p0\/64odbSwl+EDslCL3vHjjijhGmvMKRkk\/f\/r7n+zvPCFBffMTJHTEm5koOISKzlLFqHrX8vUdQLn1l2RtE0TNBEVK+8UTo61nv054HZXYcz5uoKH30sEfofY\/0i08wosphlIdhkvEK2XBLU5ncQnfqxyc9T4WnrNR7e3sextuwnRZiewma8Bsb8r6+9Xz2tyNJ6XcvdPcw7zaxA8ybKFw0mChd1NBaZifniEJOiHXgg8ewEPQ1f\/z0+2g5Vcg42AgwDmLy4ROgFX5\/eh599bjnKZsl3yRM4+7cuYMVCmJiMX2UkiJO7c1hzHlUpO\/JquhauPrjJ8JTWATEpvff+OXJq46yIRpKeJ5tzjDG5rd6ent\/ftIrSJ8PHvWyqnpwxsiPCTiyTzWAs1ZaqZDaejWPZUNuffjj108f9zx40tsr9Dz9om9J6H30zce\/zVdjExuOPttsYYRU\/+wVHj7+9eFH3\/3Ri+9+hd97e3p7n\/763S+\/3fZLu\/ySA6+ST3YaKFdUvv+YoSzmkwfffvMzK8Invz7++YWTIzVyM0u2wA6240EgbPFqz6PzZ3ImDFl+9ty9Jz1iWzYkUNVPfv3mp4df\/v2rB1+E2etsLOT8sOn\/\/IWFfvr4Sa\/w5MG39++zse158Nujb4vWzBimokrCc3KNk8qc8FQjt4+8Ujps5ZCBPCdT6xteSGx\/6fHPz\/rR2\/v0l58+\/\/Xn3l7h6ZMffnn7woEZu5t+gi+r0Nv7y2\/3n9z\/7ZdecaHs7Xn89PGdcCcz3tSaJ1Ru6b16vbVSplJqVBo5J1Ooh1qaywe7O1OFariV8Mca++TBg6c9LERvz\/efPYLNTQ9bIYXe3vs9z+at2N2e7iMurrzZyHlDeUo4paWbpYZn+2TY38l4a7X3io0DYKsi\/K4RC\/x7AfevAoH1o+8nG6\/zNpzC3HTgwNG2akoVynGjhxDxrCTjqHyQXm01XK+WP4svidP7r9H7vep98vBJb89vRS68Yuh0c7Vq4BAznuf5AZsCFRhhdu5wVcnMeIwI2wIK\/\/nTL\/7Dnx\/29vx9A+UwJ7cdMkSjkHOEyOU+HXUajIjMhCq8fFUcpghWFIwgfk+vJP2nvT29P7Ml7MHFbx897f1dkF6R4sn9x48eZVmyjytxtLVWqWQyM2uisdbzcIy04mXrj\/tATyjh4KDyyxf1x7+73\/u09\/Hjpz\/\/8N1vb3Xlho+Y3\/X46auwYMx92iM8\/Dry\/PTdGx6L8Z8+fPTtXSex3qlKaeM11gbOd7zaSsbJeKdp7hrNKBXs4+xUZjDndg4xN5kw9uTtS+tirs1zsBxlBts8zK97WQXxB\/7aI\/zWt7q+JzzpfdrzpOdhldJExVEC+xbMDfe041V9WoiLHVIoCRwPOYV4DoYDjaOTJVVpOMzZ2wxQa8xkcj6GLanY3vySui++7f2enqe9T3t+8CfswATjR9RD5GwbTHG\/DyDGMiu1OSZm6ymFzQZRKU2UKkKIymnwAMVCzxFUwz6rSPoFbHz064NeQfhxHMZYqbSSKSghChXGxNZKSVC\/LyzMA54ndP1dwptBb8xtXAcPogSTAdMGUu9JWkyQ9IvJGNJ6fngq9P7oZ87BRsnKdPVgS1MrFyIzc3eQ\/yk+HKc5tYZ\/rpo3rLfBSO440c7UDARVW48hlhoFRqj\/R\/\/OnTufP\/7p3ru7B8hklGIqmzrn3CRHRxs7TDSDHDi+f3zEDugKTMnYaFc1xvajJtorLKmKMx+8UK8AffGf4iN+\/qOeL9ZoMMJqa7UCE95uia25g405WxLgSC7xZRLJeB4TGh49REF5W3trJaeWjTZdONjfgsP42X5L5WDDMkNEGfl+b89dtgmi5jA75XIFb2KpYKPLPpH\/Ep\/KiFxuymNMVZa2NtamjmYejjlLtml4TmEnl8spxlzQteKxUHlYY2G58PVPbGDFIkoLIi4FRAaHAdBBSeXoD0VZfM7WXCk3dWHXGmaOjkreztFMwanlShiZAXK1mULhtHRt5ZqN1uYythPmR0xkRw6Z3QY1bPgQIrzaylQFBx+Ot2P3Rfh39TFn4+Ri4uTO3lKN3IQfoHS0UVCq4ahc6cRbWzramrh4BNjz5hp13\/UH+wxi3mSETMV+VausTRVmPJSomTUl8iEWKjUnfiqJvKD7mAwmBrvN4KmKKqjSEt4QynEamQOnkNuNmbl8qMpSxT+LT9hpT2WMDLeEL5eL9WBN3OEAuXgYIhozTjEydpBCRTCSW89f4sNjTgHHX4QI5rGCaJQ8Iaa8OUxMOVHxKk4tk8mtzeFCivUZUdjmUns3b+0w64HeMbYybOkNVyIQH2s0cplN+BAr+1FWMqVm5rjRBFMllcH4wbmDYkooR9U83IFgyjlqTIiclylVVnCNJaOgORyiMO\/obmcq02hc7XmOzvd3FqXDiI4a7sCPHmujshug0ZgOUMh4Tg43M5Qo1SroupKjPOdITWBECDZVKzFRaHTDYgdrCDFfOV9FsEpuzzvbGHgedpdmPCFELmMJwklFNtjEgrey5XmNi5oQM1NzMU\/KE56z5Cmm2hUj5JgggojpaDWxcTEjnJVKqdGaA\/bSLku4RdOoVpnYsOkvd4KhUrLrQ1as8oHUglcQ+P5SzFk6qOBETQmVyXmqsXTg5LaDB7AzOJaNiHIgVCODXTOv0DqoiMz2mL85UZhgS7PtphNM1VAZA9R2PEwAlaktIZwywJpiouSxTOHCUc7B18GUo1TGE9jGIqwapJHb6T1h8UeYt7TlCbGScQSOMiYaghWOkzVsHC2clYRX2nMcz7srLAhPeWKpMNMoLDgHa8p0NXcYQzDvOEwttzIfP1LNqzRwXlKqLCnhVOZKXuk2djBRcjzmOCXVwBXCcBXPm1iam8E4axw0nMxigIxynIXcFlY6Ys7zbt75GhdbOQwLJ5epCKJyW7nKRO7uouBhE8xRHhMiN5UpCFVt3DWOyDkTzFMLpbsKtjeAKdSO7D5SCVtmuVwpVznJ5USsTWJpPYIzN9fwlGh4+A5jOQiHEa+Uy2VwIaKALyqlVEWp+XffROKBLhPgs2ZqDYudAk7YmFi5q6BSeDnPcRzhVJMGmCuJeOqzdRjO2yrNZaZKBxmFK10HXsZ21QT99fz1\/PX89fz1\/PX8n\/fgvuuZ\/9Xo\/1sUuP\/zvxv9300gifq\/wfCneP9ugn8N9m9l+L+N9O9j+I\/C\/JsI\/uMg\/5aB\/n8M8D+vpf+k8f90Tvznrf5H8f9Ljf77BP\/lJv8thv+e\/3+5xX+7w9JG\/2G\/\/nsDhv\/T5386b\/D\/i+ff9KH4t4b\/LzP8z1etf08V\/\/X89fz1\/PX89fz1\/PX8f\/zwyIAt0QDMIw5\/Kyjwx4IL\/lbwwTIUjC3RcxhwsD8RFuHvhDAsR9ewNWrDclSEvxPK8KfCCfy9cAsr0E\/YGv2d4WDfEz7GPwi\/YVfUjH1RDtaiLdgKbWftoL0rehOPR+cZLsa71te+iPkBP\/B9IqQwnjHoS+SNXkZj0DlkgS4iDr2NLNA3aCyyxd6oBwEONvQD+iPi4NeCvhYOo4+EG+gb4V2Ggx\/gYH8s\/IKg3wvRXbQWnUALUBXyQnWMB\/gWoUdoHfoYAS7yQx49DAe\/0SgLmaP9jAf4FqMVeD2ajBehUdgHabEWTce+aA1ejDLwBhSNAQcb9BB1mc78oB\/iOBiY7iK+huFggx6gSxIaj\/chZ5yEVHgdMmU8wLcNReB9aAHDwQYe4ANc9HvE8gYe4FOhPcQWGYkSLSA\/CkvIZ0I0+VHYS9yQnkxA9mQcIsQGyYgSORMb5EXcUCCZiGYyHGxoJ7Z3Zn4w\/jDe9wRT8oMwjOGinzOz\/yFMYjxLkTUJRE\/wUvQ5Ho++wsADfMvQNBKIxjAcbOABPsDBD+oF6gN4gG8X2keyUCTZiZaRILSKLEMJJAhl9f1cxeKJ+ULeSeQjWoO+pnvRRzQK3aRx6BzNQbdoPfqYvoi+oScR4GB30250m76Kimgrqqd5qIhuQ9vpLhRFS9F2egQV07+jenqJ4WBH01toB32vDwe\/ULSYbkIz6D60hFYyHPwAB3sm7URL6V3GD3mcpWtQHV3PeIAP+CEPwEX+1j6+bcyvkD6HttF5jAf4zlN7fJv2om76T9RAv0UlVIYbqSM+T2fiO9QVAw52CfXEjXQOBhz8oB+QdzT9Fe2gqj7ckeFgx9CheCf1xR\/Tx+hb+inTCXQBHuD7hI7G31JzhoMNPMAn4q+yfkDewAN8H9JJ6Cs6FH1ATdENaonO0rHoJvVj4\/E1XcJwsEEPUZexzO8MfSrUUoQKqQOqpW59uB\/DwQY9QBeI+xX9VfiAfixcp\/cEaAftHxEd4qkdekgI+pjI0JtkMPqEeKLHZCOS0ZkMB\/tNMh99QkIYDn5vkB+FbvKr0EFM0HkytA\/3ZDjYHWQSOk8Wo8HUCo2lj4VB9DOBp\/8UgAf4BtNpSEtHMxxs4AE+EQe\/N4SPyd8E4AE+Z9qIXGkWcqbxSE63osckH8npITSEvoZc6VmGg\/2EXEEK+lYfvpX1A\/J+i+xBn5JihoMf4GC\/TTrQPXKD1SPU5XS6FGnpSsYDfFCPUJeAi\/yNfXzxzA\/6AXkDD\/BlkrGomFigDPJUiCaCEEgcUAxxQ1lkNSohUxkOdhCZhWLIegQ4+G0kXwszyffCBCJHs4hTH+7GcLAnEG80i8xFoDfofpR8JBSTewLwAJ+o91CGgw08wHecVKMLZC86RqJQKYlDWSQblZJ6dJy8gC6QkwwHO5t0ozLySh8ex\/KF\/ILINhRLDjAc\/AAHO5i0ojhykekq1sV8Nt7AA3ygK+gLONhiHicZDn6QL+QHPMAXSb1REnVCm6gCLaIaNJ0OR4vpBDaPYT4DDjaMjzhOw5lfAL0vQH1BHUE9ifgEhov1NY2Nkzg\/ECqgXwtJ9HsBeIAP5oc4TxyYDTzAJ+Lg946wkH4gAA\/wfYnS0C8oAn2BlqKX0Qp0DW1Gr6BM9CU6hX5FFQwH+xpqQK+gMwwHv6vIH7WiGagKbUCtaEsfnslwsKtRHmpDzUiDjcgBz0Ua7IV+QeMZD\/CZ4FLkgHcyHGzgAT4RB79h6CU0ivEAnyn+BTnid5Epvol+Rc+jf6JP0W\/oATLDLtgRKzHgYH+FLPB9NAIDDn7QD8j7OnoNvYo+Zzj4AQ72dSSgV5E1NuC\/oan4IvLALWgAPsx4gM+AeeyHv0GAi\/yQB\/DdZH7QD1GnU4xvC9qNUlEwSkTz0Bq0CC1AkWgtSkVb0VG0FxUxHGzYd4j7j0jmNx9NRJ5oKhqNViFPFNuHpzIcbNh3wP5D1Bt0d0epyMB4gA\/0Bt0BBxt4gE\/EwW8QWo1cGA\/w1aDvUDt6E9Wgy2gvuo62ovdRGvoJ1aKBuB1RDDjYsO+A\/Qfgot9Rljfsj2CfBDj4AQ62uH8yxaC3WC8NrA6AB\/hEvT9n4yHyQx7Ad5n5QT8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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n15wi16l.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n15wi16l.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n15wi16l.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n15wi16l.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n15wi16l.nxe :where(ul,ol){padding-left:20px}#nxe-n15wi16l.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n15wi16l.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n15wi16l.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n15wi16l.nxe svg{display:none}#nxe-n15wi16l.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n15wi16l.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n15wi16l.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=\"console\" 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 TOPIC \u00b7 human-in-the-loop-controls<\/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>Topic dossier \u00b7 AI and Financial Model Risk<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Human in the loop controls<\/h1><p class=\"nx-tagline\">Human oversight is meant to catch model errors, handle exceptions and keep accountability with people. In practice reviewers can defer to models, lack time or information, or be removed as automation grows. This page sets out how human-in-the-loop controls work and fail in financial services, how their effectiveness is measured, and who decides where human judgement must stay.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/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:\/\/globalriskalliance.com\/ai-financial-model-risk\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">A-P07 \u00b7 topic<\/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\">Definition and scope<\/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\">4 mechanisms<\/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\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/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-sec-field\"><span>02<\/span>From a satellite tile to an exposure\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Human in the loop controls: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"inset\" 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\">Human oversight of AI in finance is the set of controls through which people review, override and stay accountable for model-driven decisions. It fails through automation bias, lack of context and removal of review as automation grows. Boards, operations leaders, regulators and model risk functions decide where judgement must stay human.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Spatial finance<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">From a satellite tile to an exposure update.<\/h2><p class=\"nx-lede\">How satellite radar turns a flood into an exposure update. Synthetic scene; no real event or place.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"geoai-eo\" data-gl=\"sf:geoai-eo\" data-sf=\"geoai-eo\" data-sx-credit=\"synthetic scene and schematic model\" data-sx-src=\"Synthetic scene ~ illustrative, not data\" data-sf-learn-views=\"pipeline pr\" aria-label=\"Interactive figure: the four steps of a flood mapping workflow on a synthetic radar scene, from the tile to the detected flood and an update of affected buildings. The panel steps through or plays the sequence.\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>How satellite radar maps a flood and updates the count of affected buildings.<\/span><span data-honesty=\"true\">Synthetic scene and schematic model; no real event or place.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/topics\/human-in-the-loop-controls\/#map\" data-nxf-title=\"AI and Financial Model Risk live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Human in the loop controls: how the risk develops.<\/h2><p class=\"nx-lede\">Authority and approvals. 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=\"M2 12s3-7 10-7 10 7 10 7-3 7-10 7-10-7-10-7Z\"\/><circle cx=\"12\" cy=\"12\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Automation bias<\/h3><p class=\"nx-p nx-mt-1\">Reviewers presented with a model recommendation tend to accept it, especially under time pressure or when the model is usually right. Oversight becomes approval in name only.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Reviewers lack context<\/h3><p class=\"nx-p nx-mt-1\">Without explanations, confidence scores and access to underlying data, reviewers cannot judge when to override, so they rarely do.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m14.5 12.5-8 8a2.119 2.119 0 1 1-3-3l8-8\"\/><path d=\"m16 16 6-6\"\/><path d=\"m8 8 6-6\"\/><path d=\"m9 7 8 8\"\/><path d=\"m21 11-8-8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Accountability must stay with people<\/h3><p class=\"nx-p nx-mt-1\">Regulations and governance assign responsibility to named individuals and boards. Delegating decisions to models does not delegate accountability.<\/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\"><circle cx=\"12\" cy=\"12\" r=\"3\"\/><circle cx=\"19\" cy=\"5\" r=\"2\"\/><circle cx=\"5\" cy=\"19\" r=\"2\"\/><path d=\"M10.4 21.9a10 10 0 0 0 9.941-15.416\"\/><path d=\"M13.5 2.1a10 10 0 0 0-9.841 15.416\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Overrides teach the system<\/h3><p class=\"nx-p nx-mt-1\">Recorded overrides, and their outcomes, show where models fail. Unrecorded overrides lose that signal and hide inconsistent human judgement.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Human in the loop<\/td><td data-label=\"Definition\">A design in which a person reviews or approves model outputs before they take effect.<\/td><\/tr><tr><td data-label=\"Term\">Automation bias<\/td><td data-label=\"Definition\">Over-reliance on automated recommendations, accepting them without adequate scrutiny even when they are wrong.<\/td><\/tr><tr><td data-label=\"Term\">Override<\/td><td data-label=\"Definition\">A human decision that departs from a model's recommendation, ideally recorded with reasons.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><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\">Override rate<\/td><td data-label=\"Unit\">share of model recommendations overridden<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Decision records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Outcome of overrides<\/td><td data-label=\"Unit\">performance of overridden against non-overridden decisions<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Decision and outcome records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Review time per case<\/td><td data-label=\"Unit\">minutes<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Workflow data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Decisions fully automated<\/td><td data-label=\"Unit\">share of decisions<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Process records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Named accountable owner per model use<\/td><td data-label=\"Unit\">share of uses<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Governance records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Customer appeals of automated decisions<\/td><td data-label=\"Unit\">count and share upheld<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Complaints data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/topics\/human-in-the-loop-controls\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Human in the loop controls 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-a-p07-topics-human-in-the-loop-controls-s-t nx-dag-a-p07-topics-human-in-the-loop-controls-s-d\" data-nx-z=\"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\"><title id=\"nx-dag-a-p07-topics-human-in-the-loop-controls-s-t\">Human in the loop controls: model risk lifecycle<\/title><desc id=\"nx-dag-a-p07-topics-human-in-the-loop-controls-s-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. 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=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><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\">EU AI Act human oversight requirements for high-risk systems<\/td><td data-label=\"What it gives\">Legal expectations for oversight design<\/td><td data-label=\"Licence class\">Free, EU reuse terms<\/td><\/tr><tr><td data-label=\"Source\">GDPR provisions on automated individual decision-making<\/td><td data-label=\"What it gives\">Rights concerning solely automated decisions<\/td><td data-label=\"Licence class\">Free, EU reuse terms<\/td><\/tr><tr><td data-label=\"Source\">UK Senior Managers and Certification Regime documents<\/td><td data-label=\"What it gives\">Individual accountability in UK financial firms<\/td><td data-label=\"Licence class\">Free, FCA and PRA terms<\/td><\/tr><tr><td data-label=\"Source\">Research on automation bias in decision support<\/td><td data-label=\"What it gives\">Evidence on human reliance on automated advice<\/td><td data-label=\"Licence class\">Free to read, terms per publisher<\/td><\/tr><tr><td data-label=\"Source\">IAIS Application Paper on the supervision of AI<\/td><td data-label=\"What it gives\">Accountability expectations for insurers<\/td><td data-label=\"Licence class\">Free, IAIS terms<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P07\/topics\/human-in-the-loop-controls\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">AI and Financial Model Risk 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\"><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\">Boards and senior managers<\/td><td data-label=\"The question\">Which decisions must keep human judgement and who is accountable<\/td><td data-label=\"Evidence this page serves\">Use risk, legal duties and override evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Operations leaders<\/td><td data-label=\"The question\">How reviewers are resourced and informed<\/td><td data-label=\"Evidence this page serves\">Workflow, time and override data<\/td><\/tr><tr><td data-label=\"Who decides\">Regulators<\/td><td data-label=\"The question\">Whether oversight arrangements meet legal requirements<\/td><td data-label=\"Evidence this page serves\">Process design and outcome evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Model risk functions<\/td><td data-label=\"The question\">How override data feed model review<\/td><td data-label=\"Evidence this page serves\">Override and outcome analysis<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to designing meaningful human review<\/li><li>Method note on analysing overrides and their outcomes<\/li><li>Brief on accountability when decisions are automated<\/li><li>Questions for boards on where judgement must remain human<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What experts ask.<\/h2><p class=\"nx-lede\">The questions ask whether human oversight is real or nominal.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>At which points in the process does a person review, and with what authority?<\/li><li>Do reviewers have the information and time to disagree with the model?<\/li><li>How often do reviewers override the model, and are overrides analysed?<\/li><li>Who is accountable for a decision: the model owner, the reviewer or the institution?<\/li><li>Can the process be stopped quickly if the model behaves unexpectedly?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Mechanisms and drivers.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Automation bias is the tendency to accept automated recommendations without sufficient scrutiny, especially under time pressure or when the system is usually right. It can turn human review into a formality. Conversely, inconsistent overrides can introduce bias. Effective oversight requires clear decision rights, meaningful information, training, workload that permits judgement and analysis of override patterns.<\/p><p class=\"nx-p\">Oversight must be designed to the risk: fully automated processing may be acceptable for low-consequence decisions, while decisions with significant effects on people, or large financial exposures, call for stronger human involvement. Some legal frameworks give individuals rights in relation to solely automated decisions.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How it is studied, and where the methods stop.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method or data<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Limits<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method or data\">Process and decision-rights mapping<\/td><td data-label=\"What it shows\">Where humans sit and what they can do<\/td><td data-label=\"Limits\">Formal design may differ from practice<\/td><\/tr><tr><td data-label=\"Method or data\">Override analysis<\/td><td data-label=\"What it shows\">How and why humans disagree with models<\/td><td data-label=\"Limits\">Requires good logging<\/td><\/tr><tr><td data-label=\"Method or data\">Human factors research<\/td><td data-label=\"What it shows\">Automation bias and workload effects<\/td><td data-label=\"Limits\">Laboratory findings may not transfer<\/td><\/tr><tr><td data-label=\"Method or data\">Incident review<\/td><td data-label=\"What it shows\">Failures of oversight<\/td><td data-label=\"Limits\">Incidents are under-reported<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/stem\/ai-assurance\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/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><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\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/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><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\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/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><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><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\">Override and review time data are internal. The quality of human review is hard to measure from records alone. Evidence on automation bias comes mostly from settings outside finance. Legal requirements for oversight differ by jurisdiction and use. AI and Financial Model Risk explains oversight design; it does not assess any firm's controls and gives no legal advice.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" 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\">Connected<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/autonomous-agents-and-liability\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Related topic<\/span><span class=\"nx-dest-host\">GRF<\/span><\/span><span class=\"nx-dest-title\">Autonomous agents and liability<\/span><span class=\"nx-dest-why\">Financial model authority links to wider institutional accountability.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"finance\" 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 automation bias?<\/summary><div class=\"nx-answer\">The tendency of people to over-rely on automated recommendations, accepting them without sufficient scrutiny even when they are wrong.<\/div><\/details><details><summary>Does a human reviewer make a decision lawful?<\/summary><div class=\"nx-answer\">Not by itself. Review must be meaningful, with time, information and authority to change the outcome, and legal duties still apply to the firm.<\/div><\/details><details><summary>Why analyse overrides?<\/summary><div class=\"nx-answer\">Because their frequency and outcomes show where models are weak and whether human judgement improves decisions or adds inconsistency.<\/div><\/details><details><summary>Is human review always necessary?<\/summary><div class=\"nx-answer\">Not for every decision. The appropriate level of oversight depends on consequences, model risk and the law.<\/div><\/details><details><summary>Does the platform set oversight standards?<\/summary><div class=\"nx-answer\">No. Standards are set by legislators, regulators and institutions. GRA publishes sector-level research.<\/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 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\/topics\/model-risk-governance\/\">Model risk governance <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\/topics\/credit-and-pricing-models\/\">Credit and pricing models <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\/topics\/generative-ai-in-finance\/\">Generative AI in finance <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\/topics\/explainability-and-fairness\/\">Explainability and fairness <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\/topics\/model-monitoring-and-drift\/\">Model monitoring and drift <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\/topics\/third-party-models\/\">Third party models <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-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">AI and Financial Model Risk<\/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@globalriskalliance.com?subject=AI%20and%20Financial%20Model%20Risk%3A%20Human%20in%20the%20loop%20controls\">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\/topics\/human-in-the-loop-controls\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/ai-financial-model-risk\/topics\/human-in-the-loop-controls\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is automation bias?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The tendency of people to over-rely on automated recommendations, accepting them without sufficient scrutiny even when they are wrong.\"}},{\"@type\":\"Question\",\"name\":\"Does a human reviewer make a decision lawful?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Not by itself. 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