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U90F6+wVLWmHklhEZKEXnAl1oGO7ZcVn0eHCirNjPLWlcSLoxwOzhetHnZcnp9a8HwOFkgcT1IXEmDZBHVMFcGan\/wPamPrsDEBTkMmjgd3pdtdXG1x4k2atHNOtLudjbtMpKXe5zSNS36kXGkKZQ27fNdunLZCqjaQOqebRSevQJ65t0G5DgvjR2DDa9Qg3jXYjwrhpHGd1MT70rYW9aJRmuGj6kKs15IVZLsJkWf52MRktzGptTEZL021UoULTL+nA8U7d74a4dlTij7Ed0bfkypaCFxnp37m9WpOp3SKPykvpZD512Nnaga6Syksu0x6sQLJUMhwRPEmYF+ovvmBjs021j\/5eGegvhEi84UwABQJraeA3QNgNWIwwudgLo1tG2FKcVNpM3\/gRE8a+Kon0xiP89CR+CIHUMb49t9u92zP7KJNJHQqTsG\/XShTv98FDPhwjgobMmY4lR2lIwxQiSJoA0IBIICVLqMiCHEJlaojEAyPWJojMzUCGUeLugPHCaQbhsymEMKCR5\/u7BzLxfB8RBD\/SDgEuTjea58Aycy\/wxBtPfKAMObzvib3QzHF4KDabHlgP9orFnhkRqdnGUr3prTxXJ6nnEhGk2ZcIUsIXIvsEdibrSeOaUoL9mVAJKb+Do0JakCABdiFlLreEChXy7wAoE\/YtrRzJTfExisT7yIVD8WovxXS9B4QJ43sBUrH0OcLk1x808fcPyr\/sLYfDcf392lJd4QtFtEOwXzppahkOGISzir28hQlnrulwTFkc89B9NfF812AcW6+UxeY9WJKLcBBk\/b2dr+gAFKWV48USjzUmnuvyEBEEq4aw9WW7vlwyZH3ZqJ5EPofNIwUTWVO1ZcuAFZ96YcoTcclHUcKNV8RXZig5A7xZ\/Dd5JR0Ud97Q98Kx9ICXJvxFkZNf7J0UYh40RpEDY8i4PUHKI1dQH0z+svv9X0DN+QWUSNL\/pd8ZnEFGD1L1o5OWCQnyS\/9oAEeBJTWvML2OuAptG+WBbCM1z2zv3rBYWWu9EQhaEXW5YM7E+MQNjNdiA3easgFBYL4PNEqauNOdkwPPGiKSuVtCLQ94V2jCg+iBGygLAYLiZLnysgK8Vm4ojlfrV3mm9WuR\/LtIfimS10UDsj0p\/S3oDYsNqS4xL+SJ+YrI42TePz2tMiv\/KUmjWeIol6SMAUrN\/mBNhkB\/U\/MvMvLEpUx\/kG6e1FzFzHW9cGx2jteE6bl7UQinI4l8zaGcCHydTHgP\/C1PlQ9fsrURc\/nrGZREofmt1zLb3RaJPeFMvnhi8jGSxEZCBmxxC\/nmyxZRopWWmnKEw2ASnvLkgb9O2NwLx5fSBKTo2bqEzT2r2ZhPlohAPM+cD8d+7qDEFuweLU7s2woQw0iQrNgBJkfBCcala6jwIHG5B696Eismpwrb71ydccCprKFl3OYD8z2XiSe+gInBCj2pRXmKmRcK+IhmoukpD6jyfRu6DRrwNGVjjjFejaQBH2jOtndPjljP1I+AlY64ChMoDg+cASnkcNuT8ioPBU8MTEL1rbaEgUlq50b1o5NWYWynrTYJAfKKpcLADZn+AoPGuZNj5UehyakfjonPBKSYIHMzJakJtNLjofgCUnQzLclhvxuFu4+HW+ZaF5yndfR\/Ud3gPU79SKY5nXgmQpWYAG5wEhZN0YTNe4LX+abZNfyh2ZVnZtdyvCF0CqxWm4LNZhOGpPizMkebnE6xVC93zCNUJTDbasOlkJ8PMAOSkgCvPFjnO7m35LSslHquza1UbzibWxLkGjaTAVWKZv7mWTtkglfQqI5ISFgqeIKIst31PW6EJMUD+X3nPXKpDgVs8RhFgfmmH0o0rDdrqy1rrh681Bt6PgTBBWsit7O50lANoAoNV5MFlNGF9ZpMysYRPdBi0c7CXh9BcF0SRz6wPNKX8hxTch4MDA0IJykJSWtgPgM2JC2AHxS9foGj8JaOouSKlSMEQnmy5WlQWA1lkNPKA2pxC9O7VfEeS1lCQtA\/PxpuP+x3BgMsj2fWgF45KZjC1sDghgMvlOJPO0Go9Of7PDVgZZRrgyC9byF0Ttp35RmueRAdUIy31FbCRw1U53Lcu0tK\/ShbqNzKXG9PGODmDh3g9Vpi4W66NFYonS613Gp+NFyaTpeYoEmUeI9RWC6YsEeOCRpF4z25WikY+jx0kdkuGoFCndsisr+sROfSU4KYCKI0nvCEZ7nP2A4tQjvkmNDWKXlJWoOy0jsUOYnUyA9tVzkrwTacJdtFsjM4O2q1ygcRBPVM71GnplB+0Jro1QKmbWCqGEG\/Beb0NaaeizOP3Qe5YF4wRnuOruD1n\/ieg3v6nBOrgwGed2xJVpxC4JMua9BONy8YJqD4hDxNGwFbIDPs0dOu2dZHguPV36WdTkrbmiA5KNAJ1mrWWk3TUxjz6FsKQVTSSf6b0R\/gfHojqVNlM5BqXRQzxxNLZNKfQVxQLUrzXQUlKkvj8uLpSdmXzGYTLJSVnV9FsaTrICohqWQn3gxiQjXeL3rtjrng+fByXe9ZC1BohqBGj3mGZnrUBSxGerdsk60ZXv3CjRleb+werVXvxOMFNyL6WnrfC3TKwP58PFKLljYvZNITrVXn6HW5cUS6hL6UVE91mCnp3+tRwTyrz9MdfR6TE0JPS33mWv8ztst3+nq5b35drEtcBuHOCVsis39EwB2gXH1AL9KMHMNHYIOFGGmFr3dkdmiXTKqZ9OeumZa8KPRl16TdboZHSafTPSe\/RLLT75Hs3bQh5P0Uwhu3SMQGHSgjIqi3pSRBnkkkEp6yIAYdEpkI6C9PBYLTCJGOG6bZmdLotLQ8yzW7LQ6p11kyL2nFvODGjOpsjLdYqqIiBbgnjBmVmRhbN8KYYesbl1H5BQP4RUuQQLFoLNLejktUMtI4zWxemmIBW6XT5+xBx0sc\/3kEQYE2EuZ6sxSZHXpMsrwSN01YEINWz\/tHwKVBUszcMonyqKmpSARzadbRyM7E3OIqBcxprQl1NidOIiq8gINbHNi2ii\/b6CXH4F8gWk2VZ35UuW\/Gy1ZVyRNArj+wbSnf4xXItiCYrb9L6KClGzsb34xOySe7GN8Mk6H9qf47LC6QwpIod4OVT2dGo1xFUJr1yDgA8klKwAX1xL0ibW5AwDEtQxXf5kPkubUWzjvSaus4z5j3bwb2UMlU13Ir5KLljeaIclMgAgPu5TxSbxLY7lsy6Q2ZyZXONkl+hDfPdDlqakZ1LpYok73JZrId\/mjMyCcsPaW1DABGf2DbwwxGzaZyBG82pFloZCDptryDZheLSm42xe5ZJnNvYGZWxczNNlrWayssJCeHaos71rlK+DjYyi9WjjjKn52V7M4FeH1rzqEykfeQsaONfFlD345zqEplZcoy7FBttgeLkDbiHWSgEmmpLejfM54s7zjcpgCvGFUXqJTNBmES2IYeqjrjehT5h+q3h2r\/WFy+rP1jcfFz7UPMwzuRcC5uWFwDI4I0ikRJWjM+vB5eY1J78Fjt7bvLO2QiRCZ2jr6sHbjbV1OX+2rG+4u7CwyQsJ1SvEorhtbKF0147DOHG83aP2at1vCl\/GEbY+r\/UxUODg0NVe7vH7LDf2Dc+6lJEMLbbe6CVrD1oD5ZAxOwsghJGPMdXkXcUDu7xBv+MLTd52CabftpOQD7L06OWni9Vk3ZpXBgRf36g++IcIrnHIRwuORahQXNDiXNrtDSNI8CDelUhWTlNDDEKqwiLVjpyEgpOKt7BymN8tFzdb0hpOkkSkQdmbUwqumVrY2ipAatukzwT+DWDHFBA1IKPu9dLaC6KqtrGBmVj2ogiSBT\/aZwzanmem4tjETNj5hLagmHSAe3FoU1MeE1MELXwPiJJMH4UtlBXF+Xsmplc\/cB1wER68LitRSZcWGTCUrDUMEPi\/BXSbbXSoqrsL1JYRTL2Kaiog73fEW7\/oqiwMBYXqeJEsOanNsta9JoqA0wsx+5AUaLCSY3OuKBw+I1UT2Q\/07kvzO61L8qHqLwjUfKgy9Xg5Mb6i36+Zhu6CSLulXOzhkdLQ9v6ATjwxs6r5cA51uACwDBkjpvXtMIuL0qYfRB5PLRQQSOe4XFPEKX4\/PTo+3LHmkRG9wpeM+Cl8exgUIgZY9gneIkBezryBEl8AYaRwFdkJnG5USxr7zzGQ0K9Mw20RMAemYSPbMyemab6AkAPTOJHjhHBwHvTwZ4JX\/sz7CiAV2SgC62bwGoux81CQpjizlefeXws16TPXDFnQWJvIL45HYytTf1QmQyWJCF6SBkvjiLa\/qC8ot6Wn8B13PR+Vkas7CaP0XnVz5\/kDL82T+aALAL7AGdv6hHdBQIIyAtOLtBDv2PZnyO5BLHm2HyXzko\/TGYKRXDl1bhayboPGGxNDNHNAZZ+pMXG6E0FIcAgjPqldqlqZTuJ6vx+ExcR6EiTaXKdaQHFVHJBqDxtP4HLwORojWESZ+rYdAFyVLLQckoNBeGVuy25mBF4ECLZaRKeQLfZ9ZwMXoYuUvJrnePLJbOe6C0vSAj16l21l243xg4jn\/5dHNtoKF03YHtCwzAcik+A6spLj3K4f9dIaEIWRLI4NSJZirK7OmpP8A7GdNnReVXoSmNnmDhl4ZPMPCDBYw8tsw+PSVtekI69IQc0ZNBPwQH3tPTET0hj23zmHZInHgm5JKpF7pwMxs6XiLisNhsyduzMBxP\/MdjCfvHgx70dG4f8aNeh3bMI1N9d+X3qbkxrHarkVOALsmDVaAOkKK6IZtsmR2cDV7KnzByKJGD\/0xTuJxcDLZk1A5pnHiNFP6VkLtmpvbMXqd5zGBHpDv9ygh8AjvdWTBaREIKv3gvlMNiRLTjKaQOizHAljdMSEMrrXiWQ8p9O7VCOodCzXsPDdWVMmyo9e29pMfmCT3C9faxFdKJ3T6x\/q74lVOsI44vuV26dvdNO3svuVZXP+dXaLVcc8lteZkoFRehF0g69iZhAS8TYdnmDl20xG5IaFd8UyTNv39RIXgBXOmd2B4VCQvTUZQEZEZu7FLgkzzyn\/Z6xqXzGANaxn405IgMN3xw4yKgagjk4PAGk0uV50RpnicFi5ndsmZnGTasWRY5trQ\/92cD8s7O5PweP7eX9LHV42dL+thWhET9Cyh51\/uU0ZZ39vgwH8BSd1a\/PMwHkOUVOZAF1nhJ8Q5v8Dltv1StTnoT6qXXkSNX5IPj+DOXu+Xe8QoU73f2wS5AQzm6ryWhVb0Q2T3OnL\/3Aq\/Wa2DH7+QOeafmP4FVjZNIRg72SxUHmPxkTzhdNJZ03uwQzuFr2VjSSbNjvbN\/OoeCHufwO+n9dBb2OD9LyyPWWMvsfa9hV73rveZngV4GDfCaZ6sx5nbQf80l5\/\/pbMz7nUHvp\/qSzs\/HHOIdOIfMI0jUl3QCue3BdpewNsoso+cb6JvaPxHOiWyQqBYG2FpSDtcplz4vdqqNZBL8IQaql0J7ASG4juIF2cxeymxcKyo2uq3\/IfAPRuv1WnaTyd3vKrfWLgoPSpkSgvWQ5LLZi7PhTAiQ9Zcxt5H6QFVOLxUlVMtJlFiAPBLWX6CajJiRvnTuQqYx6am4GQjF9cGPVn+xIfCUXk+BCrPei1p2NMG6FtmqgRfgUK6\/qJVicnTJ+U4BafMhFrS\/GC6bguCS1l\/8sKk0cQA0kLJMJmhlvwpb52htZcjckJFKL8igcx1eUTMk3amx0K2NfCZqAYuxFJRe1OX1AxnaR5B6maeWf1\/cfbr6WHv7+uqmZtxcfXpHalK7J7WpJ2pgg5yBqaOwp6iYA2hSZyCCyup3kQvt1K7gNaTahyGEezARJUtSY2ktng19L53AteMdDWehguWXi1DVhgHmCtk+2Cys2nvpsvJ1b0zU0oD5fi11mK8MOMq0A41n7clYCAZikURZEjH3P+9G2YNkN9oQhG5BRK3B3vgvNK9sO9B+Fv9J0NHrWvFRWk2eCf6kljubuCu1fp+PcwtbYZOqvziDp3sqLx\/JN4zgPOVgoH+gmo5mw\/UX52dyVOdXJYdW7cwL45nQh1+1UQu80EZtVAvYwkZHqJYKHtuoRduoJu\/KwzlX4aU5BZAt2+iT6rlW8ZnBQVE9y0N2nlWmInrjLbhrtHHlcLnew3kpCuOuUHO5uoipQl9X+X7UNDkziEiobHOXwaRxvAKVx+auvhphDx25yFRBZVo8kTdSnD4f2OH6HVik\/jBK9BVyVv1BJkFSBx7jua4qGhe+b6B+iXIOym+a5KJmuCfO1xELhK1wV5iiJrq5sJiWkNMrqIDybGXo6BX5BwdOP4U4CaUicft6l4qU76zMc8xL5lCNPotv1lQSckVq3VrzkjXva6HUfV9os\/I+bbl+Ry5Stne98Uqbf6UCc8zc41zek6YajQrJzcz3SliBZVHeIV6IiD39a6KAJw5QR7TW1W50FF2p65fdSt2TltlStsxeKTuTKHarpy\/62cThNREQ4IOYJRwNXuDckuv4njOFMLRsSytbqSTO2mq2koF\/ZjG0btdskSFnsGPgoqA3MsID21axK9\/A0P9tFsSfIiNQBsaVRzlL+afI2HjRK\/M3msfd1poEEG7z\/WBNjq3No\/Lr3qMi5105KRO8mjznFEz27B8RSZGfy\/2eH2XA0p26M\/Be\/fypfj5yGyHyJ7e1qJk\/0FCIVHcktCOqFwbitLm0o7jSYpKpSdqAfMCl1xKeXFhWdB8wbGZmaM8H9aPsX8utZ5kbSEc1zpTjUIc4Hrzpz6QNVG2pNVjoQuqypbRFpypg7wkMdJUnecrtT+vIBCun9j7Jr99lEEPxHBbMa2Lb9sfi5cqP3J5YfDuGZqez0BsZzX+CE6fhN\/QLMzMIsgGSoqJrtb9JRt5kedqBJTOz8JUN1yBE98hWtnxwefGuSw8fjVTFDWG8Dn7g3nS2HJwXwpgRiWUYaxEceLM\/uE863fYF96kVXOvGiuilG1JtTlO1m70RAju9iftiBSACcAudFV\/rhg+1rF5EXEffHtxV9vT2sZBkJiN1VfU+KF9wTA9DMLS\/12qT43vxLRMTG4GxTRitGvwnLfTxAiPrTw3n85GwZaZ6gHJiRzSdezG\/8lXfinhswkoljvfuiqNZVojhbnZONg\/uNuIZHMlTcFbhrrQDiuL\/j0FOeH33Yzbo\/IgRapV+Bhr9XcYJVo60i5hVG4nsvWy3yZiKCl9WH3BhSzIgmanYJNBfoKKl52FEto\/Uz51agLvNoP0Qr9aKWFuSPFvviwD9Pwvgws9W4odWkftcsxDIhFIYXL\/\/wfWV99uGQCeIYXzPuF3y5w8a\/3O7cSiAzf\/jxjfulLzfvlNSKf+TvK+Wy3XYfdnhvb7s8MObDjIGlDlwU0HfXdh7qaFyd6FVuqDQJc\/bhP\/RNYYQr\/T22rmxrIimbGmgV4q01bxU+kzZA\/N8JvVp8Jd6ae3B43PlPPXSmssfPIdb0pOaKfs1TR1TsHvwlKLSTQh1deZVENt31t3OGw8h3LbIwa6SxM6txeqqQ1i9rmCGcORUW+Dgrbw7VqXed9uRs87u2Nmc\/WzxVRkGpfiq5tcqerd3cL+fWqpQkL2cczv4eh8bfcjv4Q3kpHfNR\/a1k6uWACRF3RxmNYZzXySghPrXIwGV5QOCAfcMXPf+nZFriH2iAX0pY1dLDE+5D+7+y7Hk\/51IcCvXZZQT8k+OV39yNWJ1F0gGJWzs5mq8iHbCfZCPbMszZ04FSTg8CmiWKmaXxCA\/jzu5yzO0myIn1KOZ76cOePo0sX56ysvmfDj1xJttCKlX7FdwoU3FfuKUz9wI6ZgI27Z1+JCxce9z1zDkjoMq6urDjltiEktgTtlVSF0vBVpm5NrfLiAeapgski4FgYG4XiKW5h8k4WLCA27+QUY+fMdeGHLX\/INI49GFMJeCOBMvTs2tV\/qAXzBHmBvXu5RFB8w0HoXt8i40Vkx6mbh58G2Nq0adaCZyyA8z8T1Q4AoKOL+GZ\/xFSjfwSFGX\/ECX1ijLrs5A81KkWJdDM4nDAp4w8xMnwCZKE9WxMZtSV5+TcKAY3eZDa+AVrQjTh0cnrWZxQ6xLUtzstjtY5V2\/74D4TtKQxekkEtvYrynuKnmoUYK8qC7I957DLEVFaJlvwf2PwNANUEsVmwefmTpxaQUiV104Oc79S5\/wKjU+5RyycKVDiZLtddFE0YbKU5ozZdwa5hdRP2mHkF2ZqzX88XOLQ\/3kxFg\/tzjMHp4YZ2\/0DLdenig9pjiWzzysN+ccSGozxKvQGOodlJZf2hBqInC1bg1UD3iR5\/pVuneTE8pZOQiuAlGZr5rCeQuvSbvLj8CUJRIPtIKPXHIPFYqt6ewuqWFUCduFuzq7HLv7oi4S+UoLgRiOfXYv5ggbyad0pdHrV62\/uV4a+2wJFjFpV0yR9SsFApNACIb9YocfJ+Ux+q4XqWpLV2\/woxpc5raRdOBUjdzwxDQ6f4bbTD\/xj2qFESpTLioNvpVZ52fpw1gKj5fRwkag6rZPau2T3WOPmZjUXBvddGqn7KR2AtDw\/06tdaE+4b9O7XTS7tyc1jrOET2uHdGTGvye0mMJi2pwS8dW4bq1VCTRlNvImSUJD8Urydd1rrqaYaM27aKmxNzDuOQA+3eR0XEhDFEAot9o4Ridd17\/5w0fFQ2XvC7nR+WmlafhGT3s+OMIhS+UBYC\/REyqa\/oesmqwdfQwsoya8R7\/u2t9WmvT01q7BUv4S5ee\/JUtYGXJmtUax7RT69KT2unkmJ7+9e8seeffXPIf4k14vthwIHk+BJsmvCadX2ma40+WGHcTbySkG5AlSTRP8b9\/bNod2oXDcUS7Ml07od1ad3LkH9Ve0u7Naa37R4d2\/70jkmWBmOuw2EZKa9qBxhcWr+rgv5KwqoP\/uuOKuTT9l0jyMONqQypYMubwJkKUgok1WxklQ48r9PnSHu9zO7EAYbK0y6ITNHAJUo3a7Xiva6AQiciyFKcs68oV319121p0ftztdbrmSamx1Vdj\/B0rf36t4TtBfyzkvg77U4F9hXJ6vWFvyZz4yLou8RkIrbDSSuTUNTwT8R8t1YabEEY2xqs7YYy\/5x0km6UVvwg+sPXml3jZNULpAa6OEESSbHjygNuZczh\/WKieA0ixXvlUykZTfWskM0k+yx8HKkXmu\/J1KBK88j6hXujyxYeRgf5PuJgHJpinkVkBIRO76dhGo9dvNX6mgzomlXSW0o\/hB5jM7GZgGx336ch9kly5KNPRy1+NGbyBn+06+caSchJrEyHYEyeZH+Zb5jH4qy\/\/pkHjL\/XnDmTgONxM3v9MhgdWMERQ7LMQFBJrWw8wdGt13Tpudki7o1UDeqy1k4pCYu1Xa3L3Xeek1dqt2cD+kX+mJ3MrSXs5vGDAKZBboz6RL75N5ItvE3nhTQXerW7MBQlYbHpEvZ3EfVOQSZQKkxHmuuYHMnLM30gsTCbImAsz1erQJ66NF2+JC8\/8bKsoo\/XaerT33gTcf0fQ+ITNTAnYAfSGczfFq30lxie51juKlYFod1VdBpW\/FHbsoXo+JNNorrZfzfGsiDIhH8v5wPe8giOfylEv3JQewGGuW3n95i95KnNriQxN\/gNX7CffePE9S\/mGUUURg4iCJG5I80TAWQp\/biNnJV85qC6VRqJZ9c8bZAHppThwhIo6O2gkcKshVX82g\/mSYlV41xhCpkH1AE1OUvmPPHR5wt3sr6MZQxVAjrc8q5dZS9IfafhPI5x5JC+VB1N6G7P1usQr6E3eOBjnYa9zAbNe679MtEFSp3zpRvNwL1E9sLN3u4fUEYn\/G19mn\/Bq6G98uTHZIXhxyaV92trBlYc0BbEIGmn+8wLkIj2bce6gAlYi\/7wClF7zkWLCiXwN6FNkVJ02jXaXLAvG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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nfoshswv.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"grf\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\">GRF \u00b7 AI and Digital Governance<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><p class=\"nx-scene-accent nx-es-sig\"><strong>Situational awareness<\/strong><span>Events, outlooks and readiness for those who decide<\/span><\/p><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">International AI cooperation<\/h1><p class=\"nx-scene-lede\">AI is developed and deployed across borders, so its governance involves treaties, shared principles, safety institutes, standards bodies and trade rules. Countries cooperate on some questions and compete on others. This page sets out how international AI cooperation works and where it fragments, the records that show it, and the institutions that hold the decisions.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/\">Back to Topics<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">International AI cooperation on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"dossier\"><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\">R-P03 \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><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-2\"><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\">The question<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">International AI cooperation: how the risk develops.<\/h2><p class=\"nx-lede\">Comparative policy and interoperability. 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=\"M21.54 15H17a2 2 0 0 0-2 2v4.54\"\/><path d=\"M7 3.34V5a3 3 0 0 0 3 3v0a2 2 0 0 1 2 2v0c0 1.1.9 2 2 2v0a2 2 0 0 0 2-2v0c0-1.1.9-2 2-2h3.17\"\/><path d=\"M11 21.95V18a2 2 0 0 0-2-2v0a2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05\"\/><circle cx=\"12\" cy=\"12\" r=\"10\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Principles converge, rules diverge<\/h3><p class=\"nx-p nx-mt-1\">Many countries endorse similar high-level principles but write different binding rules. Firms face divergent obligations, and gaps between regimes allow risky practices to move.<\/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=\"m11 17 2 2a1 1 0 1 0 3-3\"\/><path d=\"m14 14 2.5 2.5a1 1 0 1 0 3-3l-3.88-3.88a3 3 0 0 0-4.24 0l-.88.88a1 1 0 1 1-3-3l2.81-2.81a5.79 5.79 0 0 1 7.06-.87l.47.28a2 2 0 0 0 1.42.25L21 4\"\/><path d=\"m21 3 1 11h-2\"\/><path d=\"M3 3 2 14l6.5 6.5a1 1 0 1 0 3-3\"\/><path d=\"M3 4h8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Evaluation needs shared methods<\/h3><p class=\"nx-p nx-mt-1\">Safety institutes and testing bodies cooperate on evaluation methods. Without shared test suites and access to models, results are not comparable across countries.<\/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\">Forums overlap<\/h3><p class=\"nx-p nx-mt-1\">The UN, OECD, G7, G20, Council of Europe, standards bodies and bilateral arrangements all address AI. Overlap spreads expertise thin and lets states choose favourable forums.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Participation is uneven<\/h3><p class=\"nx-p nx-mt-1\">Countries with less AI capacity have less say in standards and forums. Capacity building and inclusive participation shape whether global rules fit their needs.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in East Asia.<\/h2><p class=\"nx-lede\">Night lights, population density and flood water over East Asia, from NASA GIBS. Each layer carries its own date.<\/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\" data-ml-points=\"on\" data-ml-src=\"digital\" data-ml-plan=\"p-8f0131d3\"><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=\"flood,people||||\" aria-pressed=\"false\">People and floods<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,ntl||||\" aria-pressed=\"false\">Floods and lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><\/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\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" 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=\"xt\" data-wm-xt=\"0Luujb0RDi2UB7EWLSUxJvCZY5mBovBI08pug+ZgXpo=\">More expert tools<\/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\"><\/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 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>Connected activity, framed on East Asia. Layers as NASA publishes them, each with its own date.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">\u00a9 OpenStreetMap contributors<\/a> \u00b7 Natural Earth \u00b7 NASA\/NOAA VIIRS \u00b7 NASA EONET \u00b7 U.S. Geological Survey<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/doi.org\/10.7927\/H49C6VHW\" rel=\"noopener\">doi:10.7927\/H49C6VHW<\/a>. <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA\/METI\/AIST\/Japan Spacesystems and U.S.\/Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. <a class=\"nx-link\" href=\"https:\/\/doi.org\/10.5067\/ASTER\/ASTGTM.003\" rel=\"noopener\">doi:10.5067\/ASTER\/ASTGTM.003<\/a>. <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): NASA\/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Live: NASA EONET Events are indicative, not authority warnings.<\/li><li>Live: U.S. Geological Survey Events are indicative, not authority warnings.<\/li><li>NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a> \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/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:\/\/grf\/R-P03\/topics\/international-ai-cooperation\/#map\" data-nxf-title=\"AI and Digital Governance live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><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\">Indicators<\/span><\/div><h2 id=\"nx-s-4\" 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\">Adherents to the OECD AI Principles<\/td><td data-label=\"Unit\">count of countries<\/td><td data-label=\"Cadence\">on change<\/td><td data-label=\"Source type\">OECD records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Signatories and parties to the Council of Europe AI Convention<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">on change<\/td><td data-label=\"Source type\">Council of Europe treaty office<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Countries with a national AI strategy<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">OECD.AI<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">UNESCO Readiness Assessment Methodology completed<\/td><td data-label=\"Unit\">count of countries<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">UNESCO records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Participation in international AI standards committees<\/td><td data-label=\"Unit\">count of national bodies<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">ISO\/IEC records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Joint evaluation or testing agreements between safety institutes<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">on change<\/td><td data-label=\"Source type\">Government publications<\/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:\/\/grf\/R-P03\/topics\/international-ai-cooperation\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-s-5-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-5\"><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\">Console<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Public algorithm register, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-aigov-register\" data-cx=\"aigov.register\" data-variant=\"section\" aria-label=\"Public algorithm register: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Public algorithm register<\/h3><p class=\"nx-fk-sub\">International AI cooperation \u00b7 Algorithm register \u00b7 Quarter 4<\/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>Two high-risk systems without assessment<\/span><span class=\"nx-cx-prod\">GRF \u00b7 AI and Digital Governance<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Registered systems<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-aigov-register-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-aigov-register-t0\" aria-label=\"Registered systems\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">System<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Agency<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Risk class<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Impact assessment<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Human review<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-aigov-register:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Benefit fraud flagging<\/td><td>Social agency<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Missing<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Partial<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-register:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Permit triage<\/td><td>Planning<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Limited<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-register:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>School placement<\/td><td>Education<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-aigov-register:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Chat assistant<\/td><td>Tax office<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Minimal<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>n\/a<\/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\">Oversight action<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>System<\/dt><dd>Benefit fraud flagging<\/dd><\/div><div><dt>Required<\/dt><dd>impact assessment, appeal route<\/dd><\/div><div><dt>Deadline<\/dt><dd>65 days<\/dd><\/div><div><dt>Authority<\/dt><dd>Oversight body<\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Complaints about automated decisions<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Complaints about automated decisions\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-aigov-register-c2\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Complaints|ink|l||0:46.1;1:44.9;2:48.2;3:50.8;4:50.7;5:45.4;6:50.6;7:56.1;8:59.3;9:61.5;10:57.7;11:52.2;12:57.5;13:57;14:57.5;15:56;16:54.3;17:49.6;18:45.6;19:50.9;20:52.8;21:57.4;22:62.1;23:64.2~Upheld|acc|l||0:47.3;1:48.3;2:46;3:42.9;4:42.1;5:43.7;6:47.5;7:44.1;8:46.1;9:43;10:42.7;11:43.2;12:39.3;13:35.7;14:36.3;15:36.5;16:39.3;17:37.7;18:35.1;19:32.4;20:31.3;21:30.8;22:32.1;23:32.3\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Public algorithm register: the screen's structure, terms and states for International AI cooperation.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><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-6\" 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 International AI cooperation 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 697\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"697\" role=\"img\" aria-labelledby=\"nx-dag-r-p03-topics-international-ai-cooperation-t nx-dag-r-p03-topics-international-ai-cooperation-d\" data-nx-z=\"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\"><title id=\"nx-dag-r-p03-topics-international-ai-cooperation-t\">International AI cooperation: AI risk management, govern to manage<\/title><desc id=\"nx-dag-r-p03-topics-international-ai-cooperation-d\">Governance sets roles and policies; the context and intended use are mapped; capability, safety, robustness and fairness are measured; risks are managed with mitigations and a deployment gate; incidents feed monitoring and the registry. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-twin\" class=\"nx-section\" data-hue=\"project\" data-span=\"wide\" data-ns-layout=\"twin\" aria-labelledby=\"nx-s-7\"><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\">Twin and cascade simulator<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Exercise a cascade in International AI cooperation with the people who decide.<\/h2><p class=\"nx-lede\">Assembled from the Nexus Standards area profile <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/digital-ai\/ai-and-autonomous-systems-risk-standards\/\">AI and autonomous systems risk standards<\/a>: the hazards it names, the systems and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-ns-twin\" data-ns-data=\"nx-twin-es-topics-international-ai-cooperation-R-P03\" data-ns-credits=\"Nexus Standards registry and area profiles; Nexus Hazard Standard NHS-1 1.1.0\"><div class=\"nx-ns-twin-static\"><div><p class=\"nx-eyebrow\">Hazards<\/p><ul class=\"nx-list\"><li>Dam failure<\/li><li>Sea-ice loss<\/li><li>Coastal erosion (set off downstream)<\/li><li>River flood (set off downstream)<\/li><li>Flash flood (set off downstream)<\/li><li>Mass displacement (set off downstream)<\/li><li>Biodiversity loss (set off downstream)<\/li><li>Widespread power outage (set off downstream)<\/li><li>Water supply shortfall (set off downstream)<\/li><li>Arctic winter sea-ice collapse (set off downstream)<\/li><li>Polar vortex disruption (set off downstream)<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Systems and couplings<\/p><ul class=\"nx-list\"><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/digital-ai\/ai-and-autonomous-systems-risk-standards\/\">AI and autonomous systems risk standards<\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/digital-ai\/cyber-and-digital-risk-standards\/\">Cyber and digital risk standards<\/a> <span class=\"nx-ns-sub\">Common driver<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/information-integrity-and-trust\/\">Information integrity and trust<\/a> <span class=\"nx-ns-sub\">Cascade<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/digital-ai\/frontier-technology-risk-standards\/\">Frontier technology risk standards<\/a> <span class=\"nx-ns-sub\">Feedback<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/finance\/financial-stability-and-prudential-risk\/\">Financial stability and prudential risk<\/a> <span class=\"nx-ns-sub\">Common driver<\/span><\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Controls<\/p><ul class=\"nx-list\"><li><code>NS-0<\/code> Constitution and principles<\/li><li><code>NS-10<\/code> Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)<\/li><li><code>NS-11<\/code> Verification and monitoring (evidence, attestations, zero-trust conformance observation)<\/li><li><code>NS-12<\/code> Software, model and AI\/ML artifacts (supply chain, model cards, dataset sheets)<\/li><li><code>NRS-H100<\/code> Hazard family: Robotics, autonomy and autonomous weapons (NHS-1 tech.autonomy-weapons)<\/li><li><code>NRS-H53<\/code> Hazard family: Cyber-physical disruption (NHS-1 cyber.cyber-physical)<\/li><li><code>NRS-H61<\/code> Hazard family: Cascading failure (NHS-1 sys.cascade)<\/li><li><code>NRS-H113<\/code> Hazard family: Financial-system fragility (NHS-1 soc.financial-system)<\/li><li><code>NRS-A8<\/code> AI-ready risk data and model packaging<\/li><li><code>NRS-H54<\/code> Hazard family: Signal and platform disruption (NHS-1 cyber.platform)<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Observation<\/p><ul class=\"nx-list\"><li>OSV open source vulnerability database (listed for reference)<\/li><li>Our World in Data datasets (listed for reference)<\/li><li>Research and development expenditure as a proportion of GDP<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Example geography<\/p><ul class=\"nx-list\"><li>North America: 243 H3 hexagons at resolution 2<\/li><li>Night lights tonight, outages (VIIRS Day\/Night Band), NASA GIBS<\/li><li>Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS<\/li><li>Rain rate, last half hour (IMERG), NASA GIBS<\/li><li>Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS<\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/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\">OECD.AI Policy Observatory<\/td><td data-label=\"What it gives\">National strategies and international initiatives<\/td><td data-label=\"Licence class\">Free, OECD terms<\/td><\/tr><tr><td data-label=\"Source\">Council of Europe Treaty Office<\/td><td data-label=\"What it gives\">Signature and ratification status of the AI Convention<\/td><td data-label=\"Licence class\">Public, Council of Europe terms<\/td><\/tr><tr><td data-label=\"Source\">UNESCO Global AI Ethics and Governance Observatory<\/td><td data-label=\"What it gives\">Readiness assessments and policy records<\/td><td data-label=\"Licence class\">Free, UNESCO terms<\/td><\/tr><tr><td data-label=\"Source\">UN Global Digital Compact records<\/td><td data-label=\"What it gives\">Commitments and follow-up on AI governance<\/td><td data-label=\"Licence class\">Public, UN terms<\/td><\/tr><tr><td data-label=\"Source\">International AI Safety Report<\/td><td data-label=\"What it gives\">Independent scientific assessment of general-purpose AI risks<\/td><td data-label=\"Licence class\">Free to read, terms to check<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R-P03\/topics\/international-ai-cooperation\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Instruments and commitments<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How International AI cooperation is governed: instruments, mandates and commitments.<\/h2><p class=\"nx-lede\">The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"governance\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"instrument-matrix\"><h3 class=\"nx-h4\">Policy instrument matrix<\/h3><p class=\"nx-p nx-au-what\">The kinds of instrument available on International AI cooperation, by level of government and cooperation.<\/p><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Instrument type<\/th><th scope=\"col\">Local<\/th><th scope=\"col\">National<\/th><th scope=\"col\">Regional<\/th><th scope=\"col\">Global<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Instrument type\"><strong>Regulatory<\/strong><\/td><td data-label=\"Local\">Zoning, building codes<\/td><td data-label=\"National\">Laws, standards, licensing<\/td><td data-label=\"Regional\">Harmonised rules<\/td><td data-label=\"Global\">Conventions and treaties<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Economic<\/strong><\/td><td data-label=\"Local\">Local levies, grants<\/td><td data-label=\"National\">Budget lines, taxes, insurance schemes<\/td><td data-label=\"Regional\">Risk pools, regional funds<\/td><td data-label=\"Global\">Financing mechanisms<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Information<\/strong><\/td><td data-label=\"Local\">Local warnings<\/td><td data-label=\"National\">Disclosure, early warning, statistics<\/td><td data-label=\"Regional\">Data sharing arrangements<\/td><td data-label=\"Global\">Global monitoring and reporting<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Institutional<\/strong><\/td><td data-label=\"Local\">Local committees<\/td><td data-label=\"National\">Lead agencies, coordination councils<\/td><td data-label=\"Regional\">Regional bodies and secretariats<\/td><td data-label=\"Global\">Multilateral mandates<\/td><\/tr><tr><td data-label=\"Instrument type\"><strong>Cooperative<\/strong><\/td><td data-label=\"Local\">Community agreements<\/td><td data-label=\"National\">Partnership compacts<\/td><td data-label=\"Regional\">Memoranda and joint programmes<\/td><td data-label=\"Global\">Agreements and joint commitments<\/td><\/tr><\/tbody><\/table><\/div><figcaption class=\"nx-caption\"><span>A typology after the OECD Recommendation on the Governance of Critical Risks; examples of instrument types, not an inventory of any country's measures.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">Sendai Framework for Disaster Risk Reduction \u00b7 UNDRR<\/span><span class=\"nx-chip\">Paris Agreement \u00b7 UNFCCC<\/span><span class=\"nx-chip\">2030 Agenda and the Sustainable Development Goals \u00b7 United Nations<\/span><span class=\"nx-chip\">International Health Regulations \u00b7 WHO<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-10\"><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\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">AI and Digital Governance 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\">Foreign and digital ministries<\/td><td data-label=\"The question\">Which treaties, forums and agreements to join<\/td><td data-label=\"Evidence this page serves\">Forum mandates, obligations and comparative participation<\/td><\/tr><tr><td data-label=\"Who decides\">Safety and testing institutes<\/td><td data-label=\"The question\">Which evaluation methods to share and with whom<\/td><td data-label=\"Evidence this page serves\">Method comparisons and cooperation records<\/td><\/tr><tr><td data-label=\"Who decides\">National standards bodies<\/td><td data-label=\"The question\">Which international committees to take part in<\/td><td data-label=\"Evidence this page serves\">Committee work programmes and participation records<\/td><\/tr><tr><td data-label=\"Who decides\">Intergovernmental organization governing bodies<\/td><td data-label=\"The question\">What mandates and work programmes to adopt<\/td><td data-label=\"Evidence this page serves\">Records of related initiatives<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Map of international AI governance forums and their mandates<\/li><li>Comparative notes on national AI rules and their interaction<\/li><li>Dialogue briefs on inclusive participation in AI standards<\/li><li>Questions for foreign and digital ministries on AI cooperation<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" 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\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What experts ask about international AI cooperation.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Where do national approaches align, and where do they conflict in ways that matter?<\/li><li>Can a system assessed in one jurisdiction be trusted in another without repeating the assessment?<\/li><li>How can countries with less capacity take part in shaping rules that will affect them?<\/li><li>Which risks require cooperation because no country can manage them alone?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-12\"><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\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">What drives convergence and divergence.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Countries share concerns about safety, rights and economic opportunity, which has produced common principles adopted in several international forums. But they differ in legal traditions, economic interests, views on the role of the state and security priorities. These differences produce divergent rules on data, AI risk classification, liability and market access.<\/p><p class=\"nx-p\">Divergence raises costs for developers and deployers, complicates research and can leave gaps where harmful practices move to less regulated places. Interoperability, meaning arrangements that let different national regimes recognize each other's assessments or work together, is often more achievable than full harmonization.<\/p><p class=\"nx-p\">Why now: in 2025 the UN General Assembly established an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance, adding to the Council of Europe Framework Convention (2024) and regional rules. The platform is designed to help institutions compare these arrangements and record where they overlap or leave gaps.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Instruments of cooperation.<\/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\">Comparative policy analysis<\/h3><p class=\"nx-p nx-mt-1\">Systematic comparison of national approaches, using <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/policy-science\/\">policy, institutional and decision science<\/a>. Limits: rapid change dates comparisons quickly.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Shared principles and frameworks<\/h3><p class=\"nx-p nx-mt-1\">Non-binding commitments adopted by groups of states. Limits: implementation varies.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Mutual recognition and interoperability<\/h3><p class=\"nx-p nx-mt-1\">Arrangements to accept each other's assessments. Limits: require trust in each other's institutions.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Capacity cooperation<\/h3><p class=\"nx-p nx-mt-1\">Sharing expertise and tools with countries building governance capacity. Limits: risk of exporting models that do not fit local contexts.<\/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-14\"><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\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/stem\/policy-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Policy, institutional and decision science<\/span><span class=\"nx-mledger-role\">Comparing AI regimes \u00b7 Value chain accountability mapping \u00b7 Forum and mandate mapping<\/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\"><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\/policy-science\/\" aria-label=\"Policy, institutional and decision 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:\/\/globalriskforum.com\/ai-digital-governance\/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\">Third-party audit scope \u00b7 Fairness testing in public systems \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\"><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:\/\/globalriskforum.com\/ai-digital-governance\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">How models fail in deployment \u00b7 Reading model documentation \u00b7 Agent architectures explained<\/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\"><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\">Endorsement counts do not show implementation. International initiatives change quickly and records lag. Evaluation cooperation between safety institutes is often confidential, so public records show agreements rather than results. AI and Digital Governance maps cooperation and convenes dialogue; it does not negotiate, represent any state or advise on treaty positions.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">15<\/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>Is there a binding international AI treaty?<\/summary><div class=\"nx-answer\">The Council of Europe Framework Convention on AI and Human Rights, Democracy and the Rule of Law is a binding treaty open to member and non-member states. Its effect depends on ratification.<\/div><\/details><details><summary>What do AI safety institutes do?<\/summary><div class=\"nx-answer\">Government bodies in several countries that evaluate advanced AI models, develop testing methods and share findings with each other and with developers.<\/div><\/details><details><summary>What did the Global Digital Compact agree on AI?<\/summary><div class=\"nx-answer\">UN member states committed to an independent international scientific panel on AI and a global dialogue on AI governance, among other digital commitments.<\/div><\/details><details><summary>Is a single global AI law likely?<\/summary><div class=\"nx-answer\">Most experts consider full harmonization unlikely in the near term. Interoperability between national regimes is a more common aim.<\/div><\/details><details><summary>Does the platform represent any government in negotiations?<\/summary><div class=\"nx-answer\">No. It convenes dialogue and publishes comparative analysis.<\/div><\/details><details><summary>Why does capacity matter in international cooperation?<\/summary><div class=\"nx-answer\">Because countries without the expertise to assess AI systems may have to accept rules and products shaped elsewhere.<\/div><\/details><details><summary>What is interoperability between AI regimes?<\/summary><div class=\"nx-answer\">Arrangements that let different national rules work together, for example by recognizing each other's assessments or sharing common definitions.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">NR<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Nexus Reports gateway \u00b7 GW-GRF<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute to Nexus Reports from this page.<\/h2><p class=\"nx-lede\">Nexus Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">Global Risk Forum<\/span><span class=\"nx-chip\">AI and Digital Governance<\/span><span class=\"nx-chip\">Exponential Technology<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"mailto:contact@therisk.global?subject=Nexus%20Reports%20contribution%20%C2%B7%20GW-GRF%20%C2%B7%20https%3A%2F%2Fglobalriskforum.com%2Fai-digital-governance%2Ftopics%2Finternational-ai-cooperation%2F&amp;body=Page%3A%20https%3A%2F%2Fglobalriskforum.com%2Fai-digital-governance%2Ftopics%2Finternational-ai-cooperation%2F%0AGateway%3A%20GW-GRF%0AArea%3A%20AI%20and%20Digital%20Governance%0AType%20(evidence%2C%20correction%2C%20case%20study%2C%20analysis%2C%20review%2C%20translation%2C%20profile%20input)%3A%0AWhat%20it%20is%20and%20where%20its%20record%20is%20kept%20(DOI%2C%20URL%20or%20dataset%20release)%3A%0ALicence%20of%20the%20material%3A%0AORCID%20iD%20(optional%2C%20for%20credit)%3A%0A\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Gateway<\/span><span class=\"nx-dest-host\">GW-GRF<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. 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