000 | 02120nam a2200229Ii 4500 | ||
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020 | _a9789811907227 | ||
020 | _a9811907226 | ||
082 | 0 | 4 | _a Q335.Z46 2022 \ 006.30951 |
100 | 1 | _aZeng, Jinghan, | |
245 | 1 | 0 |
_aArtificial intelligence with Chinese characteristics : _bnational strategy, security and authoritarian governance / _cJinghan Zeng |
264 | 1 |
_aSingapore : _bPalgrave Macmillan, _c2022 |
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300 |
_axi, 125 pages _billustrations (some color) |
||
520 | _aThis book provides the first book-lengthy study focusing on Artificial Intelligence (AI) with Chinese characteristics, in line with China's open ambition of becoming an AI superpower by 2030. China's unique domestic politics has developed distinct characteristics for its AI approach. By analysing national strategy, security and governance aspects of AI in China, this book argues that China's AI approach is sophisticated and multifaceted, and it has brought about both considerable benefits and challenges to China. The book suggests that a more accurate understanding of AI with Chinese characteristics is essential in order to inform the debate regarding what lessons can be learnt from China's AI approach and how to respond to China's rise as the AI leader, if not superpower. Jinghan Zeng is Professor of China and International Studies at Lancaster University. His research focuses on China's domestic and international politics. He is the author of Slogan Politics: Understanding Chinese Foreign Policy Concepts (2020) and The Chinese Communist Party's Capacity to Rule: Ideology, Legitimacy and Party Cohesion (2015). He is also the co-editor of One Belt, One Road, One Story?: Towards an EU-China Strategic Narrative (2021) | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aArtificial intelligence | |
650 | 0 | _aArtificial intelligence | |
650 | 2 | _aArtificial Intelligence. | |
856 | 4 | 0 | _uhttps://rave.ohiolink.edu/ebooks/ebc2/9789811907227 |
856 | 4 | 0 | _uhttps://link.springer.com/10.1007/978-981-19-0722-7 |
856 | 4 | 0 | _uhttps://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-981-19-0722-7 |
942 |
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