| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP16703 |
| DP16703 AI-tocracy | |
| Martin Beraja; Andrew Kao; David 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 | Development Economics ; Political Economy ; Public Economics |
| 关键词 | Artificial intelligence Autocracy Innovation Data China Surveillance Political unrest |
| URL | https://cepr.org/publications/dp16703 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/545639 |
| 推荐引用方式 GB/T 7714 | Martin Beraja,Andrew Kao,David Yang,et al. DP16703 AI-tocracy. 2021. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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