著者

池原 優斗

出版者

日本科学哲学会

雑誌

新進研究者 Research Notes

巻号頁・発行日

vol.6, 2023

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This research proposes Actor-Network Theory (ANT) as a methodology for organizing and analyzing problems involving "artificial agents," which are artifacts that induce humans to experience them as a certain kind of agent, such as AI and robots. ANT makes it possible to handle the boundaries of the categories of human, “artificial agent” and “other artifacts” in a dynamic and flexible way. This enables effective organization and analysis of problems involving “artificial agents.” After presenting an overview and discussion of ANT, this paper will present how ANT can be used concretely to describe and analyze problems involving "artificial agents" through an analysis that applies ANT to the problem of AI image generators.