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アクターネットワーク理論の「人工主体」研究への適用 : 画像生成AIの分析を例に
Title: | アクターネットワーク理論の「人工主体」研究への適用 : 画像生成AIの分析を例に |
Other Titles: | Application of actor-network theory to the study of "artificial agents" : Analyzing AI image generators as an example |
Authors: | 池原, 優斗 Browse this author |
Issue Date: | 2023 |
Publisher: | 日本科学哲学会 |
Journal Title: | 新進研究者 Research Notes |
Journal Title(alt): | Japanese Student Research Notes of Philosophy of Science |
Volume: | 6 |
Abstract: | 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. |
Type: | article |
URI: | http://hdl.handle.net/2115/89297 |
Appears in Collections: | 文学院・文学研究院 (Graduate School of Humanities and Human Sciences / Faculty of Humanities and Human Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 池原 優斗
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