AI-tocracy

Martin Beraja, Andrew Kao, David Yang and Noam Yuchtman

CEP Discussion Papers from Centre for Economic Performance, LSE

Abstract: 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.

Keywords: artificial intelligence; autocracy; innovation; data; China; surveillance; political unrest (search for similar items in EconPapers)
Date: 2021-11-02
New Economics Papers: this item is included in nep-big, nep-cna and nep-tid
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://cep.lse.ac.uk/pubs/download/dp1811.pdf (application/pdf)

Related works:
Journal Article: Ai-Tocracy (2023)
Working Paper: AI-tocracy (2021)
Working Paper: AI-tocracy (2021)
Working Paper: AI-tocracy (2021)
Working Paper: AI-tocracy (2021)
Working Paper: AI-tocracy (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cep:cepdps:dp1811

Access Statistics for this paper

More papers in CEP Discussion Papers from Centre for Economic Performance, LSE
Bibliographic data for series maintained by ().