权威数据问题

IF 4.3 1区 社会学 Q1 POLITICAL SCIENCE
Eddie Yang, Margaret E. Roberts
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引用次数: 0

摘要

摘要:随着人工智能(AI)发展竞赛的加速,获取更多、更高质量的数据对人工智能系统变得越来越重要。然而,为人工智能寻找更多数据促进了威权国家和民主国家之间的信息流动,这对人工智能的行为和产出具有重要影响。特别是,专制政权通过审查和宣传等制度实现的数据同质化,可能会影响民主国家开发的人工智能的产出。另一方面,民主国家的数据为专制政权用于镇压目的的人工智能提供了有价值的信息。作者呼吁更多的学术和政策关注民主和专制国家之间人工智能介导的双向数据流的双重影响,并制定了一个研究议程,使我们能够更好地理解政治对人工智能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Authoritarian Data Problem
Abstract: As the race to develop artificial intelligence (AI) accelerates, access to more and higher quality data is becoming increasingly crucial for AI systems. Yet the search for more data for AI facilitates information flow between authoritarian and democratic states in a way that has important implications for the behavior and output of AI. In particular, the homogenization of data, through institutions such as censorship and propaganda in authoritarian regimes can influence the output of AI developed in democracies. On the other hand, data from democracies provide valuable information for AI that is used for repressive purposes in authoritarian regimes. The authors call for greater scholarly and policy attention on the dual effect of the two-way AI-mediated data flow between democratic and authoritarian states and lay out a research agenda that would enable us to better understand the political influences on AI.
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来源期刊
Journal of Democracy
Journal of Democracy POLITICAL SCIENCE-
CiteScore
6.30
自引率
6.50%
发文量
60
期刊介绍: Since its inception in 1990, the Journal of Democracy has become an influential international forum for scholarly analysis and competing democratic viewpoints. Its articles have been cited in The New York Times and The Wall Street Journal and widely reprinted in many languages. Focusing exclusively on democracy, the Journal monitors and analyzes democratic regimes and movements in scores of countries around the world. Each issue features a unique blend of scholarly analysis, reports from democratic activists, updates on news and elections, and reviews of important recent books.
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