Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308342183> ?p ?o ?g. }
- W4308342183 endingPage "1752" @default.
- W4308342183 startingPage "1721" @default.
- W4308342183 abstract "Artificial Intelligence raises new, distinct governance challenges, as well as familiar governance challenges in novel ways. The governance of AI, moreover, is not an issue of distant futures, it is well underway – and it has characteristics akin to ‘herding cats’ with a mind of their own. This essay introduces the contributions to the special issue, situating them in broader political and social science literatures. It then provides a sketch of an interdisciplinary research agenda. It highlights the limits of 'explainable AI', makes the case for considering AI ethics and AI governance simultaneously, identifies as an underappreciated risk 'system effects' that arise from the introduction of AI applications, and calls for policymakers to consider both the opportunities and the risks of AI. Focusing on the (ab)uses of AI, rather than the complex, rapidly changing and hard-to-predict technology as such, might provide a superior approach to governing AI." @default.
- W4308342183 created "2022-11-11" @default.
- W4308342183 creator A5002144203 @default.
- W4308342183 creator A5006890210 @default.
- W4308342183 creator A5016958274 @default.
- W4308342183 creator A5044589901 @default.
- W4308342183 creator A5053175320 @default.
- W4308342183 date "2022-11-02" @default.
- W4308342183 modified "2023-10-18" @default.
- W4308342183 title "Governing AI – attempting to herd cats? Introduction to the special issue on the Governance of Artificial Intelligence" @default.
- W4308342183 cites W1012910110 @default.
- W4308342183 cites W1593746450 @default.
- W4308342183 cites W2009952390 @default.
- W4308342183 cites W2097423358 @default.
- W4308342183 cites W2100666645 @default.
- W4308342183 cites W2111177921 @default.
- W4308342183 cites W2112982996 @default.
- W4308342183 cites W2116790381 @default.
- W4308342183 cites W2120866838 @default.
- W4308342183 cites W2136932488 @default.
- W4308342183 cites W2164765923 @default.
- W4308342183 cites W2299689707 @default.
- W4308342183 cites W2341895181 @default.
- W4308342183 cites W2478724984 @default.
- W4308342183 cites W2501415256 @default.
- W4308342183 cites W2576404523 @default.
- W4308342183 cites W2612890464 @default.
- W4308342183 cites W2737838988 @default.
- W4308342183 cites W2750426879 @default.
- W4308342183 cites W2775073156 @default.
- W4308342183 cites W2792511756 @default.
- W4308342183 cites W2808873627 @default.
- W4308342183 cites W2887066107 @default.
- W4308342183 cites W2887244596 @default.
- W4308342183 cites W2901558046 @default.
- W4308342183 cites W2902634493 @default.
- W4308342183 cites W2906295032 @default.
- W4308342183 cites W2908201961 @default.
- W4308342183 cites W2910464045 @default.
- W4308342183 cites W2911313283 @default.
- W4308342183 cites W2921815814 @default.
- W4308342183 cites W2923192835 @default.
- W4308342183 cites W2948100573 @default.
- W4308342183 cites W2948269400 @default.
- W4308342183 cites W2951134183 @default.
- W4308342183 cites W2953522645 @default.
- W4308342183 cites W2981869278 @default.
- W4308342183 cites W2984831095 @default.
- W4308342183 cites W2988293491 @default.
- W4308342183 cites W2990514899 @default.
- W4308342183 cites W2991823687 @default.
- W4308342183 cites W3000716014 @default.
- W4308342183 cites W3048672457 @default.
- W4308342183 cites W3058764868 @default.
- W4308342183 cites W3093033010 @default.
- W4308342183 cites W3113063293 @default.
- W4308342183 cites W3116784267 @default.
- W4308342183 cites W3119671874 @default.
- W4308342183 cites W3122671362 @default.
- W4308342183 cites W3126108089 @default.
- W4308342183 cites W3126742520 @default.
- W4308342183 cites W3166914684 @default.
- W4308342183 cites W3168043112 @default.
- W4308342183 cites W3168513397 @default.
- W4308342183 cites W3182584873 @default.
- W4308342183 cites W3208318584 @default.
- W4308342183 cites W3209069841 @default.
- W4308342183 cites W4200580215 @default.
- W4308342183 cites W4206323673 @default.
- W4308342183 cites W4207056416 @default.
- W4308342183 cites W4225484421 @default.
- W4308342183 cites W4237599991 @default.
- W4308342183 cites W4245624710 @default.
- W4308342183 cites W4248600160 @default.
- W4308342183 cites W4252148582 @default.
- W4308342183 cites W4252283940 @default.
- W4308342183 cites W4281615125 @default.
- W4308342183 cites W4283259875 @default.
- W4308342183 cites W4283448512 @default.
- W4308342183 cites W4286492845 @default.
- W4308342183 cites W4288058224 @default.
- W4308342183 cites W4288058273 @default.
- W4308342183 cites W4289638041 @default.
- W4308342183 cites W4290659886 @default.
- W4308342183 cites W4292648203 @default.
- W4308342183 cites W4293738712 @default.
- W4308342183 cites W4293793760 @default.
- W4308342183 cites W4294576698 @default.
- W4308342183 cites W4299448508 @default.
- W4308342183 cites W4306174532 @default.
- W4308342183 cites W4321510299 @default.
- W4308342183 cites W4321510374 @default.
- W4308342183 doi "https://doi.org/10.1080/13501763.2022.2126515" @default.
- W4308342183 hasPublicationYear "2022" @default.
- W4308342183 type Work @default.
- W4308342183 citedByCount "6" @default.
- W4308342183 countsByYear W43083421832022 @default.
- W4308342183 countsByYear W43083421832023 @default.