人工智能艺术的应用类型及审美判断  

Applications and Aesthetic Judgments of Artificial Intelligence Art

作　　者：陈永东 CHEN Yongdong(College of Creative Studies,Shanghai Theatre Academy,Shanghai 201112)

机构地区：[1]上海戏剧学院创意学院,上海201112

出　　处：《文化艺术研究》2023年第3期33-43,113,共12页Studies in Culture and Art

摘　　要：基于对人工智能介入艺术之后的观察、实践与思考,本文给出人工智能艺术的基本定义,讨论人工智能艺术目前所主要依托的图像风格迁移模型、图文预训练模型和扩散模型等,并对人工智能与音乐、舞蹈、戏剧、广播影视、戏曲曲艺、美术书法及设计七个领域的主要应用进行了探讨。人工智能艺术创作的鲜明特点是“人机协作”,各负其责、相辅相成,但其创作是“双主体”的方式。人工智能美学已进入讨论范围,并将与新出现的“元宇宙美学”发生联系。人工智能艺术与人类艺术同样具有价值,可以成为审美对象,人工智能艺术反过来亦会影响人类未来的审美判断。Based on observations,practice,and reflections on the integration of artificial intelligence in art,this paper provides a basic definition of artificial intelligence art.It discusses the main models currently used in AI art such as image style transfer models,text-image pre-training models,and diffusion models.Furthermore,it explores the major applications of AI in music,dance,theater,video,television and film,Chinese opera and quyi,fine arts and calligraphy,and design.The distinctive characteristic of AI art is human-machine collaboration,where humans and machines both have their roles and complement each other,while the creative process remains a"dual-subject"approach.The aesthetics of artificial intelligence have become a topic and are connected to the emerging metaverse aesthetics.It argues that AI art is as valuable as human art and can become an aesthetic object.AI art will in turn influence human aesthetic judgments.

关 键 词：人工智能艺术 人工智能美学 人机协作 艺术主体 审美判断 

分 类 号：J0-05[艺术—艺术理论]