论政治理论与大语言模型

IF 1.3 2区 社会学 Q2 POLITICAL SCIENCE
Emma Rodman
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引用次数: 0

摘要

政治理论作为一门学科长期以来一直对计算方法持怀疑态度。在本文中,我认为现在是理论对这些方法进行视角转变的时候了。具体来说,我们应该考虑整合最近开发的生成式大型语言模型,如GPT-4,作为支持我们作为理论家的创造性工作的工具。最后,我建议政治理论家应该把这种技术作为一种支持我们创造力的方法来接受——但我们应该以一种注意到理论化的内容和价值、模型的技术限制以及技术引发的伦理问题的方式来接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Political Theory and Large Language Models
Political theory as a discipline has long been skeptical of computational methods. In this paper, I argue that it is time for theory to make a perspectival shift on these methods. Specifically, we should consider integrating recently developed generative large language models like GPT-4 as tools to support our creative work as theorists. Ultimately, I suggest that political theorists should embrace this technology as a method of supporting our capacity for creativity—but that we should do so in a way that is mindful of the content and value of theorizing, the technical constraints of the models, and the ethical questions that the technology raises.
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来源期刊
Political Theory
Political Theory POLITICAL SCIENCE-
CiteScore
2.30
自引率
7.10%
发文量
27
期刊介绍: Political Theory is an international journal of political thought open to contributions from a wide range of methodological, philosophical, and ideological perspectives. Essays in contemporary and historical political thought, normative and cultural theory, history of ideas, and assessments of current work are welcome. The journal encourages essays that address pressing political and ethical issues or events.
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