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Artificial intelligence with American values and Chinese characteristics: a comparative analysis of American and Chinese governmental AI policies.

Authors :
Hine, Emmie
Floridi, Luciano
Source :
AI & Society; Feb2024, Vol. 39 Issue 1, p257-278, 22p
Publication Year :
2024

Abstract

As China and the United States strive to be the primary global leader in AI, their visions are coming into conflict. This is frequently painted as a fundamental clash of civilisations, with evidence based primarily around each country's current political system and present geopolitical tensions. However, such a narrow view claims to extrapolate into the future from an analysis of a momentary situation, ignoring a wealth of historical factors that influence each country's prevailing philosophy of technology and thus their overarching AI strategies. In this article, we build a philosophy-of-technology-grounded framework to analyse what differences in Chinese and American AI policies exist and, on a fundamental level, why they exist. We support this with Natural Language Processing methods to provide an evidentiary basis for our analysis of policy differences. By looking at documents from three different American presidential administrations––Barack Obama, Donald Trump, and Joe Biden––as well as both national and local policy documents (many available only in Chinese) from China, we provide a thorough comparative analysis of policy differences. This article fills a gap in US–China AI policy comparison and constructs a framework for understanding the origin and trajectory of policy differences. By investigating what factors are informing each country's philosophy of technology and thus their overall approach to AI policy, we argue that while significant obstacles to cooperation remain, there is room for dialogue and mutual growth. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09515666
Volume :
39
Issue :
1
Database :
Complementary Index
Journal :
AI & Society
Publication Type :
Academic Journal
Accession number :
175388567
Full Text :
https://doi.org/10.1007/s00146-022-01499-8