{"title":"论政治理论与大语言模型","authors":"Emma Rodman","doi":"10.1177/00905917231200826","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":47788,"journal":{"name":"Political Theory","volume":"18 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Political Theory and Large Language Models\",\"authors\":\"Emma Rodman\",\"doi\":\"10.1177/00905917231200826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":47788,\"journal\":{\"name\":\"Political Theory\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Political Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00905917231200826\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Political Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00905917231200826","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
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.
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.