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Fy9gm9qlX96hvezMUoJTuub4hqj91gYoiOG6KtTliS4GOtbtkW3uikvorEg26KNaJxbjxOJRohEc4jEI0RiYyLXbFXhuPl8bV+8pVmeszN71dT8fG3NI20tZfSxtnpSNmmG80QkwFskS7gYb77DxZO119K7oALnit50G8RLxzrj2w59ow\/CmG5uC81p2tTPH1y03tHf\/rp0TrebCsWvilbb08Zj5whq3R5Pclvfls7NCx255rpK\/LpDmws\/M7e4DE34tGZWvNra1TFV21HWnjzN9\/VdZX3tFS6tCyfT29TJVUsBXChvky7R8yI5KOX3wLKk4GGD4yzdlOoYw67UVFdQCZm4a2kP+Usf1EpwBD6x0Tru\/vKhOFcNjh1tYw2KX7vGViSw3OjKdZxEJfqG8n5AD3RCG+9DMtoHqXlrPnHqZMMpaZbeY0xDR3aNQE1TfSIVchThfP2i9LXtB+A80nXFMo6DDLRxkGOaOHgLguBk\/X\/GFWK4m21D+ISYPtlx6jGXzUwHV+j2WKVZnkNHN4dqwAOTfo9c6ZrIdY4O3J4Xo4FH7TepWgE3ugAut4WBgeQKVwz+Y0XceDzayeMb1Xh0nlz2VceedL\/iogGnXEVvQuyggdsPW2P3WV+HcQ8x803prFGzIoFchclHZmczI9C8ZUMdVWYunDE+BIeH288SHNQRhgjsCclm4qMiCr5+r9Qss6EDrEqtNb7N9WclbXwdN8Jx0DC8fc2aebVOmjI6IN1n9DNbXMaR6K1Z4Ts45B5xVjdyENDTfyHlG\/r\/DPCVWXSQGaoVpU2RqZg\/+NZMgK76d4zGKgIQyKHaY+H\/IlKAY94e76Rj1qSixWDGCF2zZhyVnjBK1DMjas8h2sGqmJzo8FkWvuYt8dv8zmibH6PVQTlM+6mPUYAo3Mkxw2xa\/qgux4UKna5YY6pkZZveHotZeyzc1Wkv674tM1heRo16lxHzImbMi0pTo4ZiNEIx2mhNhgYD1\/itDY6Pm0kyKm9J1Zz95RV\/J9tMvSK13jDKb2lVnm+DifCFOXGQX4H0\/\/UpuHysfzTl8KL9IuCX\/RDIX655jW\/WLzfmPYJc98lmTJL2D1\/5yueAs1u6\/g8IcJqiJXQhqdA7HV9rwkpQfeqQFWwYjqLcEqnAvnhTv7t1vB8GhqvP120OUcuoALcCquq0E7SyA0v2igVZcK5XzjDHgLZ3WIEpiaAjDuVllZE40jYWU7KYDPGFAUTSjVlMBvQwxu3aHY\/VIJGElA3jMq+\/PDlP324jTtMVvmDUfHI2nPf0hOPuTGIv9IUtOV1q+s3s3cKZh4I1TmDvCFuAqWIHr+o+zS4Ixz9Nh73Wf5jQ0oCjSZ7LYTgNpTYLyczsA3lmX1s8S7VgS+EkhItUh0BW6CbZtkDjGJvli7FCrVwqGmwOPpJ7H2g+xxCkPZP7Cdv7wSR+n1k3RrliugXFt9SZDqVV5SjcLzx\/0qVGf3C65PhDoacIOLyjgL2P1FuWofEaKil0nL+bjsI09\/uoKOz4HqWhsDQfpaAwNOfoJ858BYVpSSHAJA3FeZmncTDkhz2Ng0A21jhGyEp6TDDVpzMqqvKCFev539snD12w\/w03\/1KhrKh\/yortB7No0XqKJTSnvSWrViUn\/FmDNF25k2wk0DVdvTPp\/lwLA9\/WgjXsW7M+ubyM\/aVSjiesWsjL6P4dvaKqQYoF\/t\/za736b\/TxLPD8f4K9uR\/V77Y98y3+Pju0MMpHbdICWW\/mlsFX\/xmLjESFq46YpPxBXNpdu1Cqq\/+d+LpuptowNKLP5XY6QZB0AMA8utQABN2GXoFhRJz1a9w0WXGsD6un+M22nzZPdW21\/+c+PSQVgtGnUS479T1dO8\/rFyM56UlL0\/q8D837pFiYj+iWUmJ4M6bKfVxfJtc317BnuD\/Nojp9Se+\/mJ1ugznNmp+abcVhzp8fSjLWkWU3DiyFGecgmCPRPcS8IfOrjXDOp+Dv6TfG9dIyz8qbepBmrc9pMTJxq6MV4atml28q\/+x\/UD+Xw8pj\/UmcwGKRIQhelfUwdKG7YvznIbc6qj1bhl63Xlq4li1+w0VTjzoYcfP5N+p7+G3KS1ABUzRKmnynDkPmhPPLbLToFmsmKZsGJ2Ng0W6HIy3DJS9MU8C4S\/WTVF++f5PcD\/u5qJssfv3eAh0NjOhyLm6KbDu6cAcOwOBRzpVjQ\/vK23jnePHJUWxdSd\/d8ZsJzjPtb2B83LYY170niH4JsamJsqLGzcpabW2CGyr5ton9MuzWjJQ2XUtiThtX7+BDP8V7luBvnOVZc6Uj1tM51XwjKEOd0ND4GyboCPd3wInaAANyI8ddVC6OOXhhLhhRVQHPeStP37+iTDBNXTMWjmBQP4vBYU6q3624B8dQsC3TeNohnkBuS4yhFNr47HQl0JMYViORHWzp30u4HyXFBl2Ci1qhf+buBy2hS1k1cyaUdbuVBjjdFL1cVgdHyI3poyZasjg5Ynrxrfs4fBtDn0MFK7ur\/cinYlbPXt+rcwYX6Bfy65l8ofnBFTKp\/rPPiy8ZIZSUBV4ScNKRO2\/fMrxo2hWT7qwm2KfJtxGqFs8irf6gofPEFn8QnswRNXgzZww4zupMkod4RmBhRzfaRig5doOY9ghlpVBUfuiCAn+mTG7Q8efHtgkNEjZZzIU98+nGwJ+V1CLYjE+VzSlHMInvNbrxwPc3Frf+XOqK6blvu1A2cf+UHImLtDQl\/LbimnytdlXr53cGD+BhYWvOLWNbOrvlhQYbMZGFilOIYuNlnOGm6RbwgYzZzFMeUCemnzojLl3ZpLZqK1ggjwtCqcC3u\/bTieFmxeu2LEbiVXW836ug5xL06G8d0UNRNp86NIFv65735L5x\/R2cHO9pCZbK5j4C74xr6fjU9bW04+PdJ8G5c6V0nozK5jSjLboMfgJx9fSNvPou9IB6567c4I4+dFGZ+PLlyX76NrSwTTCxaVjnei4dR0WHILvOpeSqKDneAkqeihKZubmUfBUlL1xAKVBRIhw1l9JORWm3ZMZDFaVwyYzvVZT2S2bctpQMZS2Zc9seYc4ltNSM7i6Zd1vJ6ra3ZOZtJbPbvunci6e1mY7p9o6UuvM90+\/d8qg5YtFuQqvyg4SilU397GlESzfirEizImuwBOxU4eQa46TtL5j94W+VQ\/GfFGL\/T10gvPoZRU5nQbPJwZLtNAmyGJnGpDyjrBCx7xId9l1ijH3HNvGN8WmW8zRMowCpaZnmTyB2bYoID64GDAKRK1xB6aOUEjZKKRFRozQnyrHui8D32t4b3kup26L+4SaXT3J9Fufqjskymhcxjqz9+1A0J5qC5pO7Fm80kpGUgzJ1GuzMXh05uiSR2Rkd8XymCCw+ger4eVrqm3GksvmYR1VCts+jwf1veFvnZWMEftK\/3cnoFLA9GkjCg1ECgOdqyI4hr\/KsoOUJWEIhQY6lQTCY6LZCzPwb7INgcl39P\/\/36n\/DH9d69a\/Qler708sYxkrYZnq6HwJDm+DxUTedk9OyymicuzBeObOYDgUBFFua+swsbS5Tg1nR3C2xgWXntyu+4uQhRiKBFBjJGDvNbmyFHisEuBZfnlCTo7rzAWRtSYBuCT8vihstgGKHnxfh8x+eQwQ\/L6oP3YJr+v6m+xeQ3dYvGkuwqooddFX6tXZ4tnbw8yKanA\/PVgw\/5AHaHq\/A6AcnHHfsEedlFKdTmCub\/KOeKzeBH3muSJ8tzVxZG\/JjNkvdy8r5SRH8KOYn9eDnLjRQ7ZQxiKD\/\/5ox44Ulpqk3jb8XCQlRfIyHlO2ElpCH2jPncNlNbn7WwlltMe6s3Abs8DhCdhif2K3KM8h8\/dnyxnzCZ3Wx8zvkwMREnCOL7x8BV5CdJgXfyMXOkcp+8l64XG+FjZ4Aw07Nnu2rHWHDmdNH\/Eel3ujmzpcBzhSzN2+t8BBSdmjCzhN+v+p2vNvEUDSO+EqKl0mh4cz7HgqMLE8X5aOWPSxIFefTOCvl8XQLHCiVRhjNot0pkeW7vKoNR7Rwkapgmi0+beIseuBpzOoWbsALfxY+q3N19YVRumayXRsVOTJY+II1L9mhQxpAfh1HAFIup0hxaeJAe97JoxWVHGP4RPDNnoNgNrHLDYHrAcHYXFmzSfS6H5tkU38RO0mRWn1YfOXwpYd0YDmT\/kW+4da14PcWVnDrWHO\/JDRthhagSuJuiUnc6wZVzZ0d+Jpkb1x2YWaH0tm29OQ7MTkNRDq\/s4MVylnfRG9Y70GNlEX+vZ0QqYlwZhOG7srkI4NnP7u8h6mTHZKt5f1YoZssG5RRsctb+EogOiUozpe5mQ9N21M7Xhu4VidmHgnTR9BB1PkjGB3TNDgsrbyZzsC4pBGe8w4nVH\/6yh6lwS159asEKLJekmmVsDWcvPvOdzaI9b3SjO3uXXKLG7dgAb\/1gQKzF5yOrJRLgqgHS49Do7Av1gsDo2MtpvmVnshZ7cVTIdxqz7ULjIY6egBjRT8Oh+3JrBZyDXc3hupUH77+6cbnsKb\/kbPOSt15DN74dP9Wv676PrZ52BlLf5eZ\/We03emGd50DBkoXMbW7mMt4Fl1F2i6bTR1D\/pA8AP35bajwEeW7pHs3IRnU2Z2t3hIaq+Y0cDR8LYqOb9P87BM6hae2j0GILMfsy6PbprufMN23++6TTd8gP5gBfe7APAO+2Jupr1flew02i2E45FwxJAufTW04NskHwHnmGQVk9fzkb2JUanvZO3sDZyGuRVxqZ8nIxu+A7zLAcNjUsnliHi0GmF1kkGmz4uymRvDc55vQesjT2z3CWwJLbK0LO+fugOafemIwyRhvWH88j\/wSs+NoankWqNEyth8DhoV+mtnw9tmHyXuy17ePt9FR5oTumc6xY0GPuITz4pHQhBvnCFMdkubeUiPJ\/kSdcUpLdNNqPfy1T6v1ciVQHczuE9srdIO2rnGun9auODrOYjrDBDKK0XpzPzkxpnrN99he\/Xm1tV8mHT0MZ5y0+6taX7x7YFMNmA2V5QnUZPHLPCOGzJ4cYLFk1PjpU9nL\/t9nToethud8OnHgFkgmGox9K4f3Jvtp1vEWS9fWQknf92UMLOUSs5E5CB9u41YyNXvwDu+eaAEO3HCou\/lq\/KNxx81cLJgjjBoH2di9QPAm+KHLcxfu93P32nGDjcVba6wfywzUxr7H5kcBlTM53\/fAWzbnwpHD0NGcXtX59AKY6oD0L9oZclPcmXMmPM\/tkPMyHjtwjb6wXj\/ODP2YT6ek\/ZV18maXvWJ26SRufWe4FB3m03U6GCNi2T+syLXPT\/H2mTMOQx\/\/7l6XODGRse2Goe156\/yIivkAG9bkAMmlwYQruOk9E6wv\/sJsObOonOMfc6\/28L52DKH6iEpDbC8w3GXGDl6SLdH4vyrzFywVsLA33tEn5t718f1ivopsJF527cm6fPSRPO0nJbin3comf7R3M1WXH11KF8dk0mE5iB5ayOi1wSrSLgH+SpcPNlyFaPtgylpvxqkuJ9pjt55R\/doaXaf2PtYysqGu0efs41NWrOrqGKnfW7m+EIUjhuW8MD1Y\/X\/ThYUeLprjz+O9XH56E8rDlRBU0m9\/liL7o4gjuXQxdHvmCPvaE2tCIM5YQ7XrgRE53Y2I9QtY5DfkF4q1ObxD2+8GueWeDd8KZOCKTtCG+X2e5Z1AmI4fVgh4YSuwFmRTfmjUk3zwu8t1mQy9u3URWFGyQU8dMR+rpin1k80\/wwa8+ec7nDiP1f7uPvkuVYFa6yF7bGA5Hgb7u2kyyydBFCjtqFTi\/K7Rqa0vNNPXT3CeZNBdi5Lgu\/Y54j7aj1XHVZnnEapYNzF6lW4R9+yf0K\/DoTtp9a3f8e14B873U9ZgIrpxP2iYhvuuzznOy1HPeIDswHLi+o5xjDTHAC73tLOC7CFE6o+lIoMgu21THo+sXtxWJNC\/gpPYfWDZ0zgJUq9Mcamliqvo2jRlcUOXC0YVKuLWN6Jdrhwasy9igiucz3S792NOD9rDg3AccF46XO0WVMF8Rla\/dlMz04dtAjRb0RR1K75UuK5xMrgVP\/ZieazxGajN5E0ZtHmrT6j5db4uM1L3q7QWNadWazi19jjjzp0WDLkD0hmZRAcsOAqatrh59AhM9ukfP+e+f9ad5FeyP3Q3hb\/Tba\/QqHBJ9WMaN6DduEtALBdE0Uu\/1KaRxgVS\/JrV41a2i3YBLGgLLIVzHDc4+fbT4EdpO9W10Dehtpo+pj0GJH3c6KPswMpxpmw9IjxLewipUIy\/TU4kYwgUhxpMgVxBE1lx7JGuGOws2vr6JrZiKb2P1SOAI8q3eZ9JHg0DxAFZU2CDF6EcUX0CITNAcQ0YXHxCb1SfRhN6W59dZzyn9wRWMx0vjbm8ax0LpA4nOOrBAwjA3MyqKokAEsO5DKG3o10Ww71HS3ARyLZMToX2a3Be6VmZoql9kycC8oUiDnNoUUjhWF4P4yAkqgDyb6IKI0htRs1MdL99Wj3BS4TwE+dMQs4QoJzTv5zHhGIqtn+qn5OuQg8PK1IgOzH9\/Vo3WfoddoC0bf5+hX3qOMJ0i5ZM9QsXyaCrPKI7gmsQ7Qv8+uixjuhsj7UjKpjbLKZOyck9DxOWaXn5aeBa+\/5bQpklFHz4Y\/HdHHeBgJIM5YNlP86qOMcr1N4DXD6mrxAke\/9nyCJPIAj\/TFY0XdaKyzCxcZzn2aXGq531yyq0foFehP4vK8f6ZdPeSf8VTiZcazvrF\/5662FEmQOB7+vy0RPBzgUAPlZVgEbo4xx9L6+NBHUohCzPdr6aaGA6Htx6tHak8mL7yvah+NVez\/fdIrTPuDmVSS1ucF0A7VitHE591Q0ATrpkY2NGImthfI6+aQhRWropc7soxZvlN14mUPF+PL22w1tAZjTrMoQ8LOm37bEYHW1YzsQtlZgBTnto7YZS3GhX2IMA5x3aA4GYGvfUcIgEFmTSgNhGPGyL6xlXWXxYNSiCPLRQUE+MhLjXK3gfHMz0Ucz8hEBslUFQnhaqSLRVumpUKICGeWGRf0m7FFRdwF+e6HVV5tpgHgm5Rsyh6E80cCzVxnEVI3ch77+DwdjTWowVdxyTw2zDAMeJDtvnC\/Oc\/Apr\/39+2sIxgfusbRXAmZY+7KYnonw82V8aWUeSbbBNDlQdBZr3ZjGjgejrVFth1WwMagqa7dS606ukE306lvf16Fg+uj+Ut+7tVcuhjL2F4UMDkS90j\/DOsj4xbCetAvfyYTRPd19ROErwqommUZ0lWEjxqRJlnX7S+zWRm2LQSzU6EddSjIqymCk7OTQyuJkL5wIryxePP18W611\/lIcTlYQ23BA37RgXSzLyYeg62Ji8yTOqUQywLrpWYwoIXM09EnNoNjkmm5xkRa1nUlkYhJDJlTS\/5tQrih48xSS7DCKfRWEYPE\/pAdJCNJ6zplbFkzBzuwviEw9+Z5H\/Oo4GXBzozoofsfrYEeulU+K6YOV5QSN4i2ST+0abDWutHQeHVasGc2chwuZHXzBtUQvClNoyBdQ5djTtkQAWHYGmiBrukMP7C7bH5XlGFpwr2KPiZtmM0kQkCyTXFChKl+cGxa\/DtQKDw2L9eBDJ1a9AVwxfHmNiCFudhKcBRY7oISI2zKS+zkycZ3WbJxV\/lwo3zfexvNe3SZTfUK1vBmNKuLpXAeBHG\/eqdbbdjE\/mSCIMHeZNYFmj7f2qQHWyPu9VqIMcJPU0mInggzgyJC62c+Sdk3tjJjBCObhhjSVGIPtgc60ncs\/rzo0UupbHX5oECktfSVjYegrFN33VJ2+M4eKvTG7z7EWL2iEGYiMTXBsMHOiCvTX2URgT7xtCgpcDXgymr5xl2A+s8RMcUGwdUUguvI3Ba32wM9cJ94e2F2P2aZm8pyTv\/VjcM+fHaF3qR\/y6rd+OurwjbEzVJC0i8UkKEtFvd3wIhSGbLrFJxh\/bJjczqesorAC8Sz7OGrH9DlY+SZXFX\/5xwiNCNQaROEBLDz0jNudepEx00\/R03AZRD\/57wzl5JKiak1DOerIfRrG63Zl8AB7r1AMWulmBAU4S4nyA6CJz1MvVkT5f0AWASsdUdwM5R0bVnmUA0hVXDWQzGgtATV+3BT6qFdD2mWlb76iJTxNtvaOqGG2MPDRtrXydaOpS1qMtwTPThiAn0kRTKI5Hm4Jnmqaa32PvI1m855tsGG3a19iT+qUmMr+r6GpWvDrrGXZ26D2PHThOdfzmmexzwzHV9\/fafY4K0hE5GUg3dFpOYj4Bb\/vQ7FHwfha\/brRv5FG+rWd91j29emIcr6Z5p2tqCf8ILWlcu5ghxfOGJN6lBZYltktl6nTLp7JZMp3iTZ7QulaCkrZrjG5CpRqjqQ6jIhFrQdlaSDCfvm7jEtWSM+54Ovm2gX+UhSZvffra2pBNcqGPp35n2qLTL88dmU\/WJ9V25L6QFx\/QkSp7g+AuzajfUSMP2vnc9YkECMdwNiJ7BFv69xJOcqTYoBPbZn437NFu6JNXcMyYNfgmL1xHwVftWcXU6ZppYPRbP6iNI7oepVFwpASxJE+kvgG4UsLSEOhH0deMrvVttlw84kL5TSZEBDHxvN2kEbeXOOKYPSNy21N2U7AjHOuERWFADkILbyar2VGsZn810WOiIxoKSbU0m1wuJ\/QPNRdIYssNTVfxZIuOYZN2YNik9Tl8mZMLs+1KmpdlYpmOPzAgZhsScxwDYsbTNE3sXSuMR9aT86JPCiq2wUhFdTuqXU755fypLwdxLjPkozNbWJRVlDUPOj44U+u8fkfNSRwO0clMVgR5ce6yxx83073KEU+Etb2epN46oX55siGbpVDfmVHfUdR3Z9R35fqnOfU9RX1\/PcWdVXNaXRQfVXUVLuh2nl63m69cDWrnpAqxMdcxdDDkIyrR4C45EaOEye3eNjqKQTZMTlVxoWuC0s22J75tKb5HvDRSOHxqckDCrSS54uzTmzPha1kBqLFd00yOtak4oowG\/bX1+ECzCr9hlK9chYcdaHnnGtB1TrOC7sTufXb9Oy90DUaisTSQ6yoaVXsz8HdlXh9NqPNz3f2\/PCXo+CQ6\/ffxJu693v5K+l\/56AY1Mu3+Z7bbfqJJWF7r53diBBXnJ4Qp6aIwxJlRJuX7OVHqIs4+eAs8fftpWPXkAmYIA1yIJazutB7NfgFy+Y5DLvcnkcsflI7NcHRfBcijzU9uisdxvj8bwMJh3hjY9B+\/\/5BJw87PblgPF8+jxFs\/qTMy9pSQW90JZiYdMW9bThRB94dHNHfJs+YnSjifExo7UWj4DxJ5dBTT2WbGzkrsoNqt6e3LE3WU4\/KhTcS7cY5Ld7YlJgYzAynsvaY6DG3rl7v7AW+smopz\/RNRded4XM9umfpejqYuJU+XNfa1y+W+WVwb8qAJSTLncMlLXF7BY2tbYRK+UHzkb\/cNBVzBO6JZEVf4TDwfgLDZlg9o7MIhReGpYjsmrmSqaIRlLsTmo1c4n\/yv26dVOyefYCI2CY6zM8q3OUbkcPkPXJXrFy08I4fqLIGhPSRmYjIqktMIZqCH09IEw\/r9\/uUpLs8XFDdj+YY9Z06+YRPaI+ibFPLfc9jkCp7z2GEpUm34D2rhoshdd5\/Kf59Q1pkD0tdba548PNuRE3v+S2tuPDw7rrfbofZv9\/DspAGK3PZv7\/DsJ\/sYB+3f\/uEZhXGShvTvk314diMntpP2b+fwHMSe69jt3y687yOnpX\/yDs\/Y2u3c7n3\/8JymkbPD9O8Y6O3DHW77FzuH52Tv7522\/dg9PNv7Pd5Z7d\/e4Tneh7Ah0r\/9w3Pi+3bYth8Hh+e9Ffp4T\/+OLOvw7ERO5OCuAGYk9bDvdAUwJShEYdwW2Nbh2d+5lpd2Bfbh2Yu8aBd2Bc7h2UW7FHVEHevwvI+9gYZjH55D1w9R0hU4h+ddEsZp2\/Eao8OztbP2VlsFrrIOz3ZoIxsPJc7h2bZsx+6mB27\/D89+FLhB1zZ15Hl2Azf2PFp2rFBzeLYdO7Cjl+G25PDsoTCIko78K4aXHNftmOGEEnyojhH6ZG3Iz+eds27fJtKQPHN8f9P9C0G47RsnlJeHZyuyYqvtGrGhH1Q5FLu7iMPILtnfVRxGbY6DCfmglJ29K9NhfGsa3J0Ok4bT7nqhfzNTwmF1HmkDQbrLvHXNwe3q8DBGV1jM7bMCH5lHVdZkMcr72UjL4SH81T7oNnl+F2pLN3xpjYq66ySc2Q7xNcribYT\/keHqk\/XZIZ\/dhk27E97UKP\/nLnQRpN+LwitV7cSl2SZJV6YD06cRgAiiDHj2HU+dpGalXxLhfRoM0g8FcYTDQfqBtEu8Qfo5KEiicJB+VuKmYTBIvzTB+05agvRLoygNkkH6pW4YeeEg\/ZK9bzvpIP1Q4HhONEg\/B+3CJBikH46C0PUY6RehtJPWIP1wgmxW+uFwFyFvkH6B41sdPSL9cAg\/jPRDMfawx0g\/H8VhHDLSL0mjgQZIP+SjJHEZ6ecH+zDaM9IvwoGHOOkXBw5CjPRzI2+\/9xjph3HqpD4r\/dI4jdOIk36pkzqdzGylXxjtfWTz0i8O4rjrIJV+2MYB5qVfkKKgGxaVfomP\/dSRpJ8Tbtxw4zsb67M\/Jf92Pif\/6BCkcwHFHqxj4FWI+juemlGTZcvQcPD8g5\/\/4Od\/Cn4ePWauWjijL0813G5vt90Gqb0b5+o5Uj3HqJ4r1XON6nlSPc+oni\/V803qnaR5ORnNy0mal5PRvJykeTkZzctJmpeT0bycpHk5Gc1LLM1LbDQvsTQvsdG8xNK8xEbzEkvzEhvNSyzNS2w2L4FULzCpF1mWWDGyLLOatlzTNqvpyDWNvkZky721zXpry721zXpry721zXrryL11zHrryL11zHrryL11jHp7KWuxpiZGhq0JyolYVRfIw9Yt8FGsqnGXZ2uCMiNWJQqOQV0Ux2JVTZAO3+qr3OirYU3p02gjL9jKoG6KlbXBbWxlOESIlcnBwuzjNmBWEr+uxs0Zas9JPwGyH+6eZwQwM\/gfEjYICSnaRrh5x7gYghQp8KboJ0CTiBlFOmtmi\/Q\/K46cD02bGcVe2SsPIAXHa1Pj42A+V+i\/g8bOab8EqnAKSM5Rww\/4ohm5c4Rng\/mt+DTe7\/oa9b32SOSnxavmn32lcq6OXeMQV7TtUqTnWhvmOmRhCS5K1KRx8lEzA3tJYj8RkwlYohs9vQ8eeIT8zYTYcclUjGPs\/Is+knTcyALDO+Eqa1RB\/AKqufHFXmskUuHF9Y9GcZi6N7Rfx+iqT8nberKPgBXTtkATu+CPCyoSNrOLOmyULMbZo\/gKMfKdo6bHphD2+ng8zh2bBf6Vo2weEdQESxwXV1V2lj4VS0DjqmOUx59IAsRfYfWsh5SozLJxrCEdJHfd6BFxIwTQP3o96QfZJQnSoBT03Q0V+ZNkEDZ9SiWD9ewqEqsZ5kHiB6UFPhNe5dfSgqVqlEaha7Q+ozxXZmxcHjSdvm5fL9n27TZjOw4MtmNbuR07Y7vxYjyJtv\/X250ALS2dByK03D2mpL2HLctBiM6I71dRSVFeq8holRGWTJJVX56uF4AJkDwL\/tPx\/8X5T8v6X6wndpIAofENV+S+pluctm4LEZtLyvditMG\/PqDBS8YuK2McymmOm4sB0Pbla9ZtbQGzswUjoBsqGd5xoCZrIdtgjwjW4C9PZwxucNnGvAYgVHzNxsEpZjQOiH8zW6d6+Vj7eg1d0YFy7uiJbj\/WvH5hSbSotj9GTK\/3K75LmkrEmJwHi8FXyCGhwDmvCA7uUCHFjrSMlc6phmZrzj16j4neHHbYYCLIo\/agSzu2XKm11ejoKh12ZNOc6huruDoKxXXZLhmfUNUooUSnI2vU2FaMRizhWzFZQdtT1uS9ubZtemK7GZ66+gr3qEueLLe1jFW\/HVu71PkLzTTzTQ7BpKB0ZgFrIk30kdVjNJ2lRCHSUI6AXI6ifM\/hiesYiRTT94w9zBlSrUbIMq4d3Sozpvk2TXNOponHzWBW4L5XihjneMOJpVFEA0GNVuvcs\/rUHhJRfeoPyEosFGNYDV0z71+emlNWDG0Mgc+m5CChlPB9pckzidcX6UbU9G1MN1DnYAjnWKgUHaB\/nsqm+xqb+bWH7HlcAKnpTLzNnAorNCT82xXNorubMXMzRJSxMDmj6pU4yhJc19EFC\/dB68XL4zwusZYKLPYwdEFZ0WzbQyrtoyFwDuy5c4133MgSUAPGvjY7aVM9MWXci6a92lvPQAyazK\/SrW1z65jUU3GtbuZWZYTEzQSoyHQaY5Tn5bXRsSRnuvln4rmibLCpFLijn66xDIGIEHIrOh8Txlj6VRNsb8rMpsfUCqnOqRNKKM9iZVGouFY9EUqYF1NuTjKIVDc9qc9CNpJGhfNc8ynsx3+KN\/TYnUN71H1pZdwWv+GiqQ0UP6GjHfzEa+9NfZuDvijSPLXzvUwEt7WlfMPC19wsoBZfqzFyDxXUXKPMbrCoUVNxU5XvxrMSl3d8n2zgD8bgZroUq7Ku1Se3keHfJWS65mgeWP0J97FnHgDnetipZ9mXgnAyQ92WCl0F7JXPHvyDWQ13a67R6K\/uymUb8GZM7nExB7e1NcuTfrzNAnIqgdWygpGEMVZPKFHpqsIUD6725I9t+nkLY\/vQ3Ye5MfPK0h0vyc4qFdwx1ZQTiOpYdGhUHmCMNxT8UcrzTR0AXx5r66RNtcz8PhgsBCQwGve2rcu0WRuh8Zkr3tcilseqBAK0zIAA7zs8kn11fHF3xtLNbGpKyVNNWh0Yhc5kBORet\/+KPDwaobtyFc5bOlw0uHikEGVS\/l\/Ra3HEeYB1ZWld+f7yir+nFTrjuu\/YLa3KMwsE15RM9svxyJRtjo+4SJZm0wE3SOJopcyELfkmCeZw9TX5VF+3PJ6gM+530V7jtT5VWvv7K\/6+4OKfdXZ0uHTUFuvkNOLRxDovDX+ZOQlQtyOm86L\/osKzivG8VIMwikRbx0PDK0ep9t0XZrZRL6mX4aXCdY01ni2j15lm9L5mnBlay0lfM4mXeLc4h\/VTVCRndZUuecwRlA7GzK8DhkRPPid0wd1Vxtfs1nOu3AF7Yq1wBGGn4AjyaC\/wveEVnIwpE9ICEXpjzegL9dro3GZCZqJDpduMOekqK44sbeLK2H9Fa9oph3fPBKsjtw7EaTHvWVR+SO4dMxubxQAENeY22zjzE7zjhqRWou+AmOTqpY6rMs8jVHWvwR3eBOUbS5Fxa\/A85nPHZZ6jS41JJl7ym8K54u5BrpoTh1aYxa\/fuwRRvVexLXrXE5cWyyDx0nQ0iLR568G31AcY4os7yw2uG3yLins9T980dFBhUpUb2xVyKphuV3JwNjocPOgsYKyyC72dt3GP0PgZWce1ZzCxA4o8Zb2PmbTVtFnTGEEnO7h1J8GJt8iq8vo3uIABVg\/2DbiWnCXqsmq+PKE6xkVCNhFhhGy7EnrYVEfseb1I8Gg3ZpBk8s52Xv2dqDFMo6n2kBW9dc9ZkuT4x4KlPmt3GtFF1qYNR2jQGjvjVMjtGDsTzk9+lmP\/UtDCPoBp2S0P3yydKnp8mWGN1BCZCtBQVWXvmxeBJ47QNbkCV9VjrlnU\/WGNR0u7JOBmLu6hiL9J8jyeUAJemVlR46ZzL12ZxRkr2xsxOwaBKZn7d66t0WqdNaUnbuK6uFy6awW61ipUvI6ok4x8AVfrlwedyDWWsvcJxVZSiXgTTKg8EZipuuLWsJ1QUc6wqd\/m4Xnbn10A523TIbtiOmTpWD\/Z\/te\/VWWOW0vm0Jn2SFNP1l+x9b\/+adh1d+2Gu5u16Zp5ZivbbqVnvzJ5HH5jZYDrqRQCOhV3runZw\/f+F0lZuEuJ03Q96cAo5sV06SlSoIl54V0mH77dE8r825SVS7S98KIgMBYFmg4n+dwFDsubmAOESA2zVZ3kX5Psbc46TvJV0vDLloAE7+46LE\/JaWg1uSls8rv5qe7\/ydZRk120gdVhZxTp8lezm6RvCQD1IZfOWwpQ\/h0wCdjpE66EXH\/m1W2TXVYUiVOOrOECmjwT882EApRdVncsP5rdQ7o9mmpv7vIjtZqRu4CX2Rc+Uw0ZG57nizrSQKIPMJsbnvxzlufq0vcyaIPNdJZfw5ibSrXqu3XNnjoZdoIjIhM3RkF6XuI8u2wh1Vqrs3zyrV9mxubG6DJxYzrcjjqq29EWB99RBg+bIsho+\/cVsjRxOsfMy1ag0anMBa6b799uD1wvMnVFWHdv7zOJfp4MYb0PhTx9Xf1pVMkT84+9GCCQ38h6fT9vyxij4vBsIfh56UopNqYbwM9QmDUATw0\/fRlFsHy2EvjpS0lG5cOzm4YWwTWlpSCfW6TvqC9sIan55gF2+jlF8NOXxR2kppuEaRIw5RWOrxXgg0YewRTvyklSUsAy99I9S6co4dMfnoNoF4RO\/+C3rXV4jr1w7yKmzD484yCOw5QpA0hXFyXM0H7buofnXZrY8Y4pA2jXFOE9Wxe+h9R0hbICWrcTjwK\/MsWA1xrv0njPFzuHZy+NXIJTyhQDtvt+H6UpX+wBSCwOmeK6KN9TlOfQrBu53s6SH9mH58D3\/UjxyDk8773QTSL5kXt4jt0oSB35EWDJpnjPdqPMSBdC5CPH4ott+Bx7jtugGFDaU4SZeSLFLvArciOHL\/YOz8AueGjyhFEDTXqR7XgWX2wDRryz82y+GBDvIx8RgHqmmEDvIs8L+GKPIPYGiJ8AMtGe7+9ivhgmOdq7sccXEx6LPRzwxe7hOQlwmO74YmiS\/DMUN2WFoc0kRK6PhHIAy0UBch2hnODsuxaz6Gk5SUGwS3aeUO4dngMvCeJhJdQ1mdwgjVyMuFJg5MRn+RtKocXAiV2XK3Whf17A9q+mE+uEnj\/M4DFHdU0hcm1rQ\/9nfQ7DNSegynceMd\/zmeev3yXxc0L\/ANj9GH4GudEiAUMaAkZQwrZQk2+LHMT0rH1gH553rhvsUvGBA8ztO4EvPgCm8vfIC8UH9BvbaHjwho+EkZGHnJgrBaZKw9TzuVKycqI0QFwpAFL7kbWzuVLv8LxPscW0drxcyDgTrjUotQ\/PPrTGl0LaCScKGZ6BUpfIrRRZXCm0FmE3GUoRrtqxWS5f2vEu4kphiTrciKEUJtNCYcBTIDOZ7Jk+JFfKth5yU1cohvaswPM8vhg+oLW3AuFtF5JpRFYoFEOTYRJHzGSglm1c37e4UjKdPstlUOqAIAu9mKfgHp6jPcKMmIBSkLNBglNWcsLpmU6o44RCOZnSnccuN1LuEPHhubFQDtPqRakv0icTi11mYuO8vCbQrpO6LB1aDkk7Yt\/1sVAOjOruojAUymF3c9CemUVaDpjnQYIw0+4ppzLeQQy7Qym0iQLEMDaUOmSr3jMyG0phU3eSgGFhKKXyHTGsBkonnVzgeL4YvibeI4a1STGBhU+8BPHFMLNB4oaYL6YpWixmwtOMivc0TYIg4IsBMj5FFsOxpBigzdMAuQlfTDjWDV2BNvmW+2gfsSeqssIgBL00soKUeVCfqmsEaV+4fTne1ugNFQU6PCdJvGeOGDEgptf14TnyknDvsYc83NDDZ+BELLPH27gqLyAbo5DZLOLttYrgAJumu9RhT3nnskZZfHjG7h7FzGfdZjE+PMdpEmK2NEJwvX14DnEYslt0A5545NumQcTtf+QBnFH2keeH4gOHSB7LlUgRkRQoHpAJdyMPsxN+xfk2Les6y+lhaIfEp8U1zjGqFAMlj0\/fk6pUHY7hIVm1ijklD98zogOk0Kz4LMpK8rVdZsdrHx1xqfgatLmmrNARkyMqZhcrfVw2Jzjf79COHyYieoOf+IE3MOMFl5cctzIbMTK7fWDTM6UnPQCZZoXsUmof0L3C2kkP6HZhRZ5ZehNRtUrCJExiQbUSlBuiWoknOKpaIRvZCImqlReFcRwIqlUEGZBE1UqgSlQrO7RDO5JVKycK4sgyV62S0I4CS6FahWgfIJdXrcLYty1BtUrCyGWOQFS1QpEbxbxq5aOIpnpgVCvLDgJm5+hUK6HpTrXa4xhhW1KtPLQPE1dSrRw7CJj2OtXKi1y0x5JqtUN2ihylapXs4zBVq1aRt4+wWrUKkyCNsVK1CpAXMVsMq1p5vmuFsmoVhTuf0Vw61SrZRV4gq1b7OPb3SFat0j0Wiz1QWP0kjCXVKk2wi3aSapXu0J5Zd51qheGgn0qqVRQ6yI0l1cpP7YDZejvVKt4nMU4l1WrvRjF2JNXKj\/Z+nEqqlZMGO0HbJaOMXE5t6VQrgaN71Urg6l61wjEOklhWrQTu7lUrgcNb1UrgzVa12juxn2BRtcI4tVNPVK1SD\/mhpFpFjh0yhhlGtXJ8a9P9O61d2Y6gXeEEJ8waoNpVvI\/3zBdotaudvbN3Ku3KiezYQwrtyocTHlZoVyj0XD9VaFc4Dlm+YrSrCLshErWr1ME4jkTtKg6SmDmkddpVHEXBXtSuXC\/EXipqV1bis5amVrvCKHVYuU61KxQkTohE7coPURwgUbty3NAKIlG7sh0PM3t1q12lUeomvqhdpU6cMEfvTrtK96G3F7WrKAgsB4na1S50XTuQtKs0wPvElrQrHMT+fidrV8k+9BNJu0JWELh7SbsKPDe2U1G7wilOUl\/UrmIvSph12GpXezsMY0vUrvzUt\/axqF25nmP7qaxdpWkaxLGsXaVJkoahrF2lYeQyk9prV9jdYWcva1eR5QXsxt1pV6mX+oxNqNeu4OTB7Hq9dgXnhNiXtasw2nusDtRpV4EV7Hc7SbvyLNv3RO3KjXwnjCTtyt7bzE7Ralc+jveBo9Cudo6sXTmxixkSnXblprs08iXtKkxjmzGa9tqVFQfMSDrtKvZ8141k7SqIPWaz6bQrnIasDaTTrpK9zy6GTrtCFmdI6rQrP+aMToN2ZUdB5CJZu0JBiAJPpV0JKkivXe3j2OaO0r125aZhuk8l7QoH+9SyZO0q8X3MlXfaVRzv9sxO32pXeI9x6iq0qziMnchTaFf7NIpjlXaVOomzQ3O0K+ErDNoVch3HHtWuAuwh1xvVrqSBstqVZe2cyBnRrqQ5ZbQry9rjnavUrsI4SFxbqV1JX4PXrnZRkEZj2tWe\/CNpV9hL4jhRaFdpklqMBBm0qzSI9\/tIoV3hcM9uvIN2Ffs+ciOFdgW6ouM+LiHfHxrYHxrYHxrYHxrYHxrYHxrYHxrYHxrYHxrYHxrYHxrYHxrYHxrYhAY24jH5fr5t4X0AizsQpBny5+kQ5+h8+eQDHsFmF7ydNvvAgjxiy9IyvJ8P6TXP67jCuLi1TdiW9XYa8BS+t3gKY8GTMSreUL3+8Rfw40RZgasVkP\/ENL+HhGZjjpbcUMFtHIa7IYnSaKa07comfvvr1Z9XDuRN8y4f6\/X4zAHi2xGrElV0LqW0+zDYtewurBxnp9muuZhxWw4wbB+fUFaBy+wk3IKqSlNe41ObBbJDDWijZ48VivjMYS8ZLDn6Kv0VT8yMmLtMium0yA846wtxkxOEW7T8M42nHTJXGUX+SkSSCh0lGjD+KCuO40QoO6qcx8ngwCdblXKE\/MEHUYy3UZR1XGWXRtUKDUPpOQy4ek1DVMBrWR2F5Im++sXHlrjp1zguiwRV38envp+vCqPkex+4K\/bUJFEtyCfIH7MZfVyhTPOUwnXV4y9csmL8YZNdxh+esqK5ja1MorWtX7bvOHrNmi28llTlZZtmOVh4ovxafbKJlBQfrdhnIw7l8grd0pgbKSiIeqoPq8ki8RCQDYnrLn28Vn\/xS5Wdtd+7ZXA3+aks3nPVuUzwlycnGViqa3+zoC5BxqsNmVGg40p9MO3BMS8jLFa+EfmX5STanIr+8Tlv+62bcQaTR9pSZkR19Y3NSjHd1RoXSNYLG7iry73AR6NIealUaal6K6syrIZGHA2LwgK4M64mGG3XG2nT4Z7YqicT0zF3DmluM120of8yBPLQiW3h3OjuDmexbu25Foh1rmUaNZRkFW73dhoxN0NoTC8WMoYvT+UFFwPL04FxEUwTs8D90SY7uz+vh8xMtofPlEFICE1aVufD6nq54CpGNV68K45njzNKcq3OFcckunO6uN4+hdz8c95U55UZ5rjU49z8Bpb1Mj3Ubiya\/YWAvYmhXyTc85LDtPAEubzFTNiWY\/EIlIowLk8ZFFl8dJvgNjrKu2T3TE7roZqQxaGN\/VeI87LGswTIFmBJbpL+BAUUk24b4RN6y2BYrc7EpXgewpLnQNiRC7HyeuGBmiwNAldXY\/UrT2CmhjNBXWDjbs14QiTkSFIW5frXRkMS2f8dV2aRyiRjJReuTFcImX5u\/dQNqhp1nusWm2NZmms1ENzCfNbd4I0yyE\/R4NTE8aN5FovYcRoNATVg7TN8m6RsMX25vMx7vyrfIZ38Q1DvNML0hOPXHlWSDWtl8452S02D32muhYxK1ei4ra9VimLMZ3QZQQQDrK\/NAHnJlU+wjoCoy6ukdEpYwiOSf3JrGLNccMdLZtQTvSbCRRQbLWyBmTGtpVOgM77Ju7WI9mCKWD4yqy1OsaLpiUMT36432e62ruKbLKtl8IpFwropS9CshoMCSGQ4AruBbmGRanPP9+XlZnhCAvn\/Y1LWqGyMFKHZHtY57AwiWLds4ZtuTBkvr9H3qg4wk0gXFp9Cjf88IjTUQkfbXUDnn9REl3bIWANoO6JCFVX0rZ2tLUhl0r+tP6hyk\/jd6nTsgszVCvc5w3pDXAJu15sLBWfJ6CD8cn0kSEhrNtSq1R6jVlfMNCswN2TteXQRO6wG4rZIQN1nJBcM7f1CCDcK8o2HdPzWL9QaX0QYnk4xckYAS9wRtOYlCw\/OYeaIHZLKq0p10DGYI6Q+cJ1RuGPzg692e+LPxR3fBtK2Y34uJsdUk2PxUrssNEC3aPxxQUUynHw2BnWEw9JN24mXpQd7MglJVgNEZaJuo3s6JAmFqOZr3kgfUt\/MCvK9jx582fNnb\/hp0Wb1B8waH29GYkEWAY4G6Utzdcdgfmm7BerE\/QuwRypj98fAcL25xuvtzvzsrI1FYSEOwEJsfO1Hp45jGJ9lGJOJVyGgP2zZtG2YrVTOQDWlw0yP6+ev1q4lQ8U5PmWXn6w1JyV3tpbPC658yu0Mr8ZGUFvc1TzOxNshN778HreODzC2wWepFZLxsLJXNoPBJ+ztlkHiDCJFdOZLfa9uQ9KamQh8O1YGhrw9WYvbaCDNH3w0AU5R3X0ZS0GyrNrzido2Mmb\/WXqPfMou6vPKWAfE2fg5whb6ta3QefQwPQEO5+rtcdmFQ7WegLM2TmfR0R5sP3rDTn9fV79\/earQu4AGDx8YVeDSmGS4aD7Zrp\/g44aVP+DTuN7IHkpLPBmmOtjgCuI+pjoZWlIns4bvIwnweVQfeb8T7Y4RcHplt1kMSuCvYJBYD3e3lkpdZPzGwCvNs5Rqo\/aiZ+aVTju0uYYu1DRVFrWC1+rkPyf2GVRc15Mck+YdCSXLpu7IKUjJ6oxyxmOiPVJoDH8ZLDDFjqK75oHhd9c8NnDABkooNC1FCaYzpDMljOTQY7rFaeLsvWgopg4MhduvYIp0695xFxqsdLkmZ5o0yaduDpzaXeHoXDGdkIVLXd1rLH2ApdR2fy9TKemsmbV0caeM7Yq0M5BmTNUZ2omQMYky\/fG1jfcqylTbr0UZjbYd6qyx7TUanbFtcKd91hmxzk4fqej15o1b6rzqvtrPOrWa3vEZH17nCnZZtQ\/1\/jrm19QwVWqN2uD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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1tb0n41.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=\"dag\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P08 \u00b7 TOPIC \u00b7 ai-and-public-services<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Artificial Intelligence and Autonomous Systems<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">AI and public services<\/h1><p class=\"nx-tagline\">Governments use algorithms to target benefits, detect fraud, triage health care, allocate inspections, translate and answer citizens' questions. When these systems are wrong, opaque or biased, people lose services and rights they depend on, often without knowing why. This page sets out how public sector AI succeeds and fails, how it is assessed and made accountable, and what evidence serves the agencies, auditors and citizens involved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-canvas\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Systems<\/strong> \u00b7 around this subject<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-ai-registry\" data-cx=\"ai.registry\" data-variant=\"section\" aria-label=\"Model registry: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Model registry<\/h3><p class=\"nx-fk-sub\">AI and public services \u00b7 Model registry \u00b7 Release gate<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>One model blocked at gate<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Artificial Intelligence and Autonomous Systems<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Models<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-ai-registry-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-ai-registry-t0\" aria-label=\"Models\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Model<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Use<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Risk tier<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Evaluation<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Gate<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-ai-registry:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>M-843 triage assistant<\/td><td>Public service<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>22 of 24 suites<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Blocked<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-registry:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>M-266 flood nowcast<\/td><td>Science<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td>11 of 12<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-registry:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>M-756 document search<\/td><td>Internal<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><td>8 of 8<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-registry:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>M-769 agent planner<\/td><td>Agentic<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>12 of 16<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Evaluating<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Model card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Intended use<\/dt><dd>triage support, human decides<\/dd><\/div><div><dt>Out of scope<\/dt><dd>eligibility decisions<\/dd><\/div><div><dt>Known limits<\/dt><dd>lower accuracy on rare cases<\/dd><\/div><div><dt>Owner<\/dt><dd>Model owner<\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"tl\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Incident log<\/h4><\/div><\/div><ol class=\"nx-cx-tl\"><li data-s=\"watch\"><span class=\"nx-cx-tt\">D-<span class=\"nx-cx-n\">13<\/span><\/span><span class=\"nx-cx-tag\">INC<\/span><span class=\"nx-cx-tx\">Hallucinated citation in summary<\/span><\/li><li data-s=\"ok\"><span class=\"nx-cx-tt\">D-<span class=\"nx-cx-n\">6<\/span><\/span><span class=\"nx-cx-tag\">MIT<\/span><span class=\"nx-cx-tx\">Retrieval grounding added<\/span><\/li><li data-s=\"alert\"><span class=\"nx-cx-tt\">D-<span class=\"nx-cx-n\">2<\/span><\/span><span class=\"nx-cx-tag\">INC<\/span><span class=\"nx-cx-tx\">Prompt injection via uploaded file<\/span><\/li><li data-s=\"live\"><span class=\"nx-cx-tt\">D-1<\/span><span class=\"nx-cx-tag\">MIT<\/span><span class=\"nx-cx-tx\">Tool permission narrowed<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Evaluation scores<\/h4><p class=\"nx-fk-panel-sub\">vs release threshold<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 128\" width=\"460\" height=\"128\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Evaluation scores\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">Task accuracy<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"warn\" x=\"132\" y=\"4\" width=\"180.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"318.1\" y=\"19\">87 \u00b7 req 85<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Robustness<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"warn\" x=\"132\" y=\"34\" width=\"161.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"299.1\" y=\"49\">77 \u00b7 req 75<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">Fairness gap (lower is better)<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"warn\" x=\"132\" y=\"64\" width=\"10.8\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"148.8\" y=\"79\">5 \u00b7 req 5<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b3\"><text data-m=\"rlabel\" x=\"124\" y=\"109\" text-anchor=\"end\">Refusal on misuse<\/text><rect data-m=\"bar\" data-k=\"b-b3\" data-c=\"neg\" x=\"132\" y=\"94\" width=\"195.3\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b3\" x=\"333.3\" y=\"109\">94 \u00b7 req 95<\/text><rect data-m=\"hit\" x=\"0\" y=\"90\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Model registry: the screen's structure, terms and states for AI and public services.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>Model registry. Design wireframe with placeholder names and illustrative values, not a record or a live system.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in East Asia<\/a><a href=\"#nx-sec-question\"><span>03<\/span>AI and public services: how the risk\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\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">AI in public services is the use of algorithms by governments to target benefits, detect fraud, triage care, allocate inspections and answer citizens. Errors fall hardest on people who rely most on services, historical data can carry bias and opacity blocks challenge, so agencies must remain accountable.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in East Asia.<\/h2><p class=\"nx-lede\">Night-time lights and population density, the footprint of electrified, connected activity, framed on East Asia; each layer is a dated NASA product.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"east-asia:digital\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"100,18,146,50\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, East Asia: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-name=\"Night-time lights, daily\" data-wm-short=\"Night lights\" data-wm-src=\"NASA LAADS DAAC VIIRS Black Marble (VNP46A2)\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Population density, 2020\" data-wm-short=\"Population density\" data-wm-src=\"NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-name=\"True colour\" data-wm-short=\"True colour\" data-wm-src=\"NASA LANCE VIIRS NOAA-20 corrected reflectance\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><div><dt><kbd>Arrows<\/kbd><\/dt><dd>Move<\/dd><\/div><div><dt><kbd>Shift and arrows<\/kbd><\/dt><dd>Turn and tilt (3D)<\/dd><\/div><div><dt><kbd>+ and \u2212<\/kbd><\/dt><dd>Zoom<\/dd><\/div><div><dt><kbd>0<\/kbd><\/dt><dd>Reset the view<\/dd><\/div><div><dt><kbd>N and P<\/kbd><\/dt><dd>Next and previous station<\/dd><\/div><div><dt><kbd>Enter<\/kbd><\/dt><dd>Pin the station<\/dd><\/div><div><dt><kbd>I<\/kbd><\/dt><dd>Inspect a point<\/dd><\/div><div><dt><kbd>M<\/kbd><\/dt><dd>Measure<\/dd><\/div><div><dt><kbd>C<\/kbd><\/dt><dd>Compare dates<\/dd><\/div><div><dt><kbd>Escape<\/kbd><\/dt><dd>Close<\/dd><\/div><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>Night-time lights and population density, the footprint of electrified, connected activity, framed on East Asia.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Natural Earth<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/ai-and-public-services\/#map\" data-nxf-title=\"Artificial Intelligence and Autonomous Systems live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" 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\">AI and public services: how the risk develops.<\/h2><p class=\"nx-lede\">Public accountability, access and rights. 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=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Errors fall on the vulnerable<\/h3><p class=\"nx-p nx-mt-1\">People who depend most on public services are often those most affected by automated decisions, and least able to challenge them.<\/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=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Historical data carry bias<\/h3><p class=\"nx-p nx-mt-1\">Models trained on past decisions can reproduce discrimination present in those decisions, even when protected characteristics are excluded.<\/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=\"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\">Opacity blocks challenge<\/h3><p class=\"nx-p nx-mt-1\">When people cannot see that an algorithm was used or why it produced a result, they cannot contest it, and errors persist.<\/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\"><line x1=\"3\" x2=\"21\" y1=\"22\" y2=\"22\"\/><line x1=\"6\" x2=\"6\" y1=\"18\" y2=\"11\"\/><line x1=\"10\" x2=\"10\" y1=\"18\" y2=\"11\"\/><line x1=\"14\" x2=\"14\" y1=\"18\" y2=\"11\"\/><line x1=\"18\" x2=\"18\" y1=\"18\" y2=\"11\"\/><polygon points=\"12 2 20 7 4 7\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Accountability stays with the agency<\/h3><p class=\"nx-p nx-mt-1\">Procuring a system from a vendor does not transfer responsibility. Agencies must be able to explain, audit and override algorithmic decisions.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" 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\">Automated decision-making<\/td><td data-label=\"Definition\">Decisions about people that are made wholly or partly by algorithms, with or without human review.<\/td><\/tr><tr><td data-label=\"Term\">Algorithmic impact assessment<\/td><td data-label=\"Definition\">A structured review of an algorithm's purpose, data, risks to rights and safeguards.<\/td><\/tr><tr><td data-label=\"Term\">Algorithm register<\/td><td data-label=\"Definition\">A public record of algorithmic tools used by government bodies.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" 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\"><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\">Public algorithm registers<\/td><td data-label=\"Unit\">count of systems registered<\/td><td data-label=\"Cadence\">per update<\/td><td data-label=\"Source type\">Government algorithm registers<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Algorithmic impact assessments completed<\/td><td data-label=\"Unit\">percent of deployed systems<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Agency records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Error rate by population group<\/td><td data-label=\"Unit\">difference in error rates<\/td><td data-label=\"Cadence\">per audit<\/td><td data-label=\"Source type\">Algorithm audits<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Decisions appealed and overturned<\/td><td data-label=\"Unit\">count and percent<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Appeals records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Systems with human review of adverse decisions<\/td><td data-label=\"Unit\">percent of systems<\/td><td data-label=\"Cadence\">per review<\/td><td data-label=\"Source type\">Agency documentation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Audit findings on public sector algorithms<\/td><td data-label=\"Unit\">count by severity<\/td><td data-label=\"Cadence\">per audit cycle<\/td><td data-label=\"Source type\">Audit office reports<\/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:\/\/gcri\/G-P08\/topics\/ai-and-public-services\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"infrastructure\" 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 AI and public services as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p08-topics-ai-and-public-services-sr117-t nx-dag-g-p08-topics-ai-and-public-services-sr117-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p08-topics-ai-and-public-services-sr117-t\">AI and public services: model risk lifecycle<\/title><desc id=\"nx-dag-g-p08-topics-ai-and-public-services-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. 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\"><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\">Government algorithm and AI registers, such as the UK Algorithmic Transparency Recording Standard records<\/td><td data-label=\"What it gives\">Public records of algorithmic tools in use<\/td><td data-label=\"Licence class\">Open, Open Government Licence where applicable<\/td><\/tr><tr><td data-label=\"Source\">National audit office reports on algorithms<\/td><td data-label=\"What it gives\">Independent audits of public sector AI<\/td><td data-label=\"Licence class\">Public records, licence per office<\/td><\/tr><tr><td data-label=\"Source\">OECD.AI Policy Observatory<\/td><td data-label=\"What it gives\">Government AI policies and the AI Incidents Monitor<\/td><td data-label=\"Licence class\">Public, OECD terms<\/td><\/tr><tr><td data-label=\"Source\">Court and ombudsman decisions on automated decision-making<\/td><td data-label=\"What it gives\">Legal findings on public sector algorithms<\/td><td data-label=\"Licence class\">Public records<\/td><\/tr><tr><td data-label=\"Source\">Canada Directive on Automated Decision-Making and its impact assessment tool<\/td><td data-label=\"What it gives\">A model for impact assessment requirements<\/td><td data-label=\"Licence class\">Public, Government of Canada terms<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/ai-and-public-services\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Artificial Intelligence and Autonomous Systems prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Government agencies<\/td><td data-label=\"The question\">Whether and how to deploy an algorithm in a public service<\/td><td data-label=\"Evidence this page serves\">Impact assessments; audit methods<\/td><\/tr><tr><td data-label=\"Who decides\">Auditors and ombudspersons<\/td><td data-label=\"The question\">Where to investigate algorithmic harm<\/td><td data-label=\"Evidence this page serves\">Registers; appeals data; audit evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Legislatures<\/td><td data-label=\"The question\">What transparency and accountability to require<\/td><td data-label=\"Evidence this page serves\">Comparative policy and case evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Impact assessment templates for public sector AI<\/li><li>Audit methods for disaggregated error and fairness<\/li><li>Transparency record templates<\/li><li>Case studies of public sector algorithm failures and fixes<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" 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 public-sector technologists ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Is the system accurate for the whole population it serves, including minority groups?<\/li><li>Can affected people understand a decision, challenge it and get it corrected?<\/li><li>Who is accountable when an automated decision is wrong?<\/li><li>Does automation improve access, or does it create new barriers for people without digital skills or connections?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How automated decisions go wrong.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Systems trained on historical administrative data inherit its biases and gaps. Risk-scoring tools can concentrate scrutiny on groups already over-represented in past enforcement. Small error rates become large numbers of wrongly affected people at national scale. When staff defer to the system, known as automation bias, errors are not caught.<\/p><p class=\"nx-p nx-mt-2\">Opacity compounds harm: if neither officials nor citizens can see why a decision was made, it is hard to contest and slow to correct. Access barriers arise when services move online without alternatives.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"project\" 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\">Evidence for accountable systems.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Impact assessment<\/h3><p class=\"nx-p nx-mt-1\">Structured assessment of a system's purpose, data, affected groups and safeguards before deployment, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/social-science\/\">social and behavioural science<\/a>. Quality depends on honest completion.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Fairness and error analysis<\/h3><p class=\"nx-p nx-mt-1\">Disaggregated error rates by group, with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/probability-statistics\/\">probability and statistics<\/a>. Different fairness definitions can conflict, so trade-offs must be made explicit.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Explanation and contestability<\/h3><p class=\"nx-p nx-mt-1\">Designing decision notices and appeal routes people can use. Technical explanations do not by themselves make a decision contestable.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Audit and monitoring<\/h3><p class=\"nx-p nx-mt-1\">Ongoing checks of outcomes and complaints after deployment.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/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:\/\/therisk.global\/ai-autonomous-systems\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Human oversight studies \u00b7 Affected community research \u00b7 Workplace adoption studies<\/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\/science\/social-science\/\" aria-label=\"Social and behavioural science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-assurance\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">AI evaluation and assurance engineering<\/span><span class=\"nx-mledger-role\">Assurance cases for AI systems \u00b7 Structured red teaming \u00b7 Post-deployment monitoring<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/engineering\/ai-assurance\/\" aria-label=\"AI evaluation and assurance engineering: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/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\">Uncertainty on benchmark scores \u00b7 Calibration assessment \u00b7 Audit sampling<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Distribution shift analysis \u00b7 Fine-tuning for a specific use \u00b7 Interpretability methods<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/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\">Registers depend on agencies reporting systems, and coverage is incomplete. Audits need access to data and models that agencies or vendors may restrict. Fairness metrics can conflict, and choosing among them is a value judgement. Appeals data capture only people who appeal. This platform does not audit any agency; auditors, courts and legislatures decide.<\/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\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is automated decision-making?<\/summary><div class=\"nx-answer\">Decisions about people made wholly or partly by algorithms, such as eligibility for benefits or prioritisation for inspection, which some laws regulate specifically.<\/div><\/details><details><summary>What is an algorithmic impact assessment?<\/summary><div class=\"nx-answer\">A structured review before and during deployment of an algorithm's purpose, data, risks to rights and safeguards, often required for public sector systems.<\/div><\/details><details><summary>Can people challenge an algorithmic decision?<\/summary><div class=\"nx-answer\">Many legal systems give rights to an explanation, human review or appeal, but these depend on knowing that an algorithm was used and on how the law applies.<\/div><\/details><details><summary>Should public services use AI at all?<\/summary><div class=\"nx-answer\">That is a decision for public authorities and the public. The platform's role is to show what systems can do reliably, where they fail and what safeguards evidence supports.<\/div><\/details><details><summary>What is automation bias?<\/summary><div class=\"nx-answer\">The tendency of people to over-rely on automated recommendations, accepting them without adequate scrutiny even when they are wrong.<\/div><\/details><details><summary>Can affected people use the platform's work?<\/summary><div class=\"nx-answer\">Yes. Outputs are written to be usable by advocates, ombudspersons and the public as well as by officials.<\/div><\/details><details><summary>Does the platform evaluate specific government systems?<\/summary><div class=\"nx-answer\">Only through scoped projects with the competent authority under written terms. It does not audit systems on its own initiative or publish assessments without agreement.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Artificial Intelligence and Autonomous Systems.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/model-evaluation\/\">Model evaluation <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/agentic-systems\/\">Agentic systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-cyber-security\/\">AI cyber security <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-in-science\/\">AI in science <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/autonomous-physical-systems\/\">Autonomous physical systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/compute-and-energy\/\">Compute and energy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Artificial%20Intelligence%20and%20Autonomous%20Systems%3A%20AI%20and%20public%20services\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-and-public-services\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/ai-and-public-services\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is automated decision-making?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Decisions about people made wholly or partly by algorithms, such as eligibility for benefits or prioritisation for inspection, which some laws regulate specifically.\"}},{\"@type\":\"Question\",\"name\":\"What is an algorithmic impact assessment?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A structured review before and during deployment of an algorithm's purpose, data, risks to rights and safeguards, often required for public sector systems.\"}},{\"@type\":\"Question\",\"name\":\"Can people challenge an algorithmic decision?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Many legal systems give rights to an explanation, human review or appeal, but these depend on knowing that an algorithm was used and on how the law applies.\"}},{\"@type\":\"Question\",\"name\":\"Should public services use AI at all?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"That is a decision for public authorities and the public. 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