ダウンロード数: 668

このアイテムのファイル:
ファイル 記述 サイズフォーマット 
kjs_026_027.pdf2.12 MBAdobe PDF見る/開く
タイトル: <論文>AI時代の映像学 --その限界と可能性--
その他のタイトル: <ARTICLES>The Image Studies of the AI Era: The Limitation and the Possibility
著者: 宋, 基燦  KAKEN_name
著者名の別形: SONG, Kichan
発行日: 25-Dec-2018
出版者: 京都大学大学院文学研究科社会学研究室
誌名: 京都社会学年報 : KJS
巻: 26
開始ページ: 27
終了ページ: 49
抄録: Artificial intelligence ("AI") plays an important role in the video industry such as film production and graphics. Nevertheless, there is growing anxiety that AI will eventually replace human contributions to visual fields. Clearly, AI does work more quickly, accurately, and efficiently than humans. In those respects, humans cannot compete with AI doing the same work. Such concerns raise an important question: If AI is increasingly relied upon to create films, computer graphics, pictures, paintings, and even photographs, can humans still learn, research, and ultimately continue to contribute to the development of the video industry and the study of images? In other words, will AI ultimately force humans completely out of the video industry? This paper aims to answer these questions. Here, I argue here that a human component is still critical to producing good quality video pieces, as there are still aspects that AI may not be able to grasp accurately such as the deep layer of human desire. As such, studies from fields like anthropology can still contribute tremendously to film production and graphics and should be used in conjunction with AI to improve even better quality works.
著作権等: 本誌に掲載された原稿の著作権は、社会学研究室に帰属するものとする。
URI: http://hdl.handle.net/2433/237334
出現コレクション:第26号

アイテムの詳細レコードを表示する

Export to RefWorks


出力フォーマット 


このリポジトリに保管されているアイテムはすべて著作権により保護されています。