Cookies?
Library Header Image
LSE Research Online LSE Library Services

Generative AI and the future for China’s diplomacy

Luis Manfredi-Sánchez, Juan and Morales, Pablo ORCID: 0000-0002-3125-4703 (2024) Generative AI and the future for China’s diplomacy. Place Branding and Public Diplomacy. ISSN 1751-8040

[img] Text (Morales_generative-ai--published) - Published Version
Available under License Creative Commons Attribution.

Download (581kB)

Identification Number: 10.1057/s41254-024-00328-7

Abstract

This paper explores the challenges of Generative AI technologies to China’s diplomatic engagement worldwide. First, it examines the discourse in China about the development of ChatGPT, by focusing on the treatment of the technology and the possible risks and opportunities regarding international affairs. Second, the article highlights four challenges: (1) the securitization of AI, where import/export controls, data access, and semiconductors open a new field of research; (2) the (techno-) socialism with Chinese characteristics and the response to the arrival of cutting-edge technologies from U.S. capital and their impact on the development of a local model; (3) the soft censorship: the development of a technology that responds in the "correct" way (i.e., in line with the ruling ideology) by discriminating the suitability of sources/data deemed correct and appropriate for the public sphere; (4) the impact on public diplomacy, as AI projects an aura of innovation and technological reputation. In summary, this paper contributes to the theoretical debate on the challenges posed by Generative IA technologies in the context of China’s diplomatic practices.

Item Type: Article
Official URL: https://www.palgrave.com/gp/journal/41254
Additional Information: © 2024 The Author(s)
Divisions: Media and Communications
Subjects: T Technology > T Technology (General)
J Political Science > JQ Political institutions Asia, Africa, Australia, Pacific
Date Deposited: 22 Feb 2024 12:45
Last Modified: 15 Nov 2024 03:30
URI: http://eprints.lse.ac.uk/id/eprint/122085

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics