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On Political Theory and Large Language Models

Rodman, Emma · 2024
PhilArchive · Papers · 2024
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philosophy
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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