G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w29466
来源IDWorking Paper 29466
AI-tocracy
Martin Beraja; Andrew Kao; David Y. Yang; Noam Yuchtman
发表日期2021-11-08
出版年2021
语种英语
摘要Can frontier innovation be sustained under autocracy? We argue that innovation and autocracy can be mutually reinforcing when: (i) the new technology bolsters the autocrat’s power; and (ii) the autocrat’s demand for the technology stimulates further innovation in applications beyond those benefiting it directly. We test for such a mutually reinforcing relationship in the context of facial recognition AI in China. To do so, we gather comprehensive data on AI firms and government procurement contracts, as well as on social unrest across China during the last decade. We first show that autocrats benefit from AI: local unrest leads to greater government procurement of facial recognition AI, and increased AI procurement suppresses subsequent unrest. We then show that AI innovation benefits from autocrats’ suppression of unrest: the contracted AI firms innovate more both for the government and commercial markets. Taken together, these results suggest the possibility of sustained AI innovation under the Chinese regime: AI innovation entrenches the regime, and the regime’s investment in AI for political control stimulates further frontier innovation.
主题Macroeconomics ; Industrial Organization ; Regulatory Economics ; Industry Studies ; Development and Growth ; Innovation and R& ; D ; Growth and Productivity ; Other ; Economic Systems
URLhttps://www.nber.org/papers/w29466
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/587140
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Martin Beraja,Andrew Kao,David Y. Yang,et al. AI-tocracy. 2021.
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