Defining artificial intelligence as a policy problem: A discourse network analysis from Germany

IF 2.7 Q1 POLITICAL SCIENCE
Nicole Lemke, Philipp Trein, Frédéric Varone
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引用次数: 0

Abstract

Scholars agree that digital technologies such as artificial intelligence (AI) pose a political challenge. In this article, we study empirically how different actors in the German political system define AI as a policy problem. We use an original data set of 6421 statements by representatives of political parties, interest groups, scientific experts, and public officials in parliamentary debates, government consultations, and quality newspapers. Through Discourse Network Analysis and quantitative text analyses we show that most actors define AI as technology (innovation) policy and link it to government operations, international cooperation, and macroeconomics. Although they are present, consumer protection, labor, and education seem to be less important policy issues concerning AI. The results imply that the capacity of the national government to reduce problem definition uncertainty and to steer the political agenda is difficult and that most actors focus on technological innovation rather than civil rights-related aspects.

将人工智能定义为政策问题:来自德国的话语网络分析
学者们一致认为,人工智能(AI)等数字技术带来了政治挑战。在本文中,我们通过实证研究了德国政治体系中的不同参与者如何将人工智能定义为一个政策问题。我们使用了一个原始数据集,其中包括各政党代表、利益集团、科学专家和政府官员在议会辩论、政府磋商和优质报纸上发表的 6421 篇言论。通过话语网络分析和定量文本分析,我们发现大多数参与者将人工智能定义为技术(创新)政策,并将其与政府运作、国际合作和宏观经济联系起来。消费者保护、劳动和教育问题虽然存在,但似乎并不那么重要。研究结果表明,国家政府很难降低问题定义的不确定性,也很难引导政治议程,大多数参与者关注的是技术创新,而不是与公民权利相关的方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Policy Analysis
European Policy Analysis Social Sciences-Public Administration
CiteScore
9.70
自引率
10.00%
发文量
32
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