ChatGPT and the Technical Ontologies of Critical Political Science

IF 0.5 Q4 POLITICAL SCIENCE
Davide Panagia
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引用次数: 0

Abstract

Abstract The following paper asks what forms of critical political science are possible given the advent of Machine Learning algorithms like ChatGPT? The technical conditions that provoke this question stem from the fact that such automated systems do not generate identities and representations (as do traditional media with which critical political science conventionally contends) but produce instead rendered outputs based on Bayesian probability calculations. Thus the challenge before us is to theorize criticism vis-a-vis the technical ontologies of the algorithm dispositif.
ChatGPT与批判政治学的技术本体论
下面的文章提出了这样一个问题:鉴于像ChatGPT这样的机器学习算法的出现,什么形式的批判性政治学是可能的?引发这个问题的技术条件源于这样一个事实,即这种自动化系统不产生身份和表征(就像批判政治科学通常认为的传统媒体那样),而是产生基于贝叶斯概率计算的呈现输出。因此,摆在我们面前的挑战是对算法配置的技术本体论进行理论化批评。
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
New Political Science
New Political Science POLITICAL SCIENCE-
CiteScore
1.00
自引率
16.70%
发文量
53
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