人工智能时代数字人文方法的革命性运用——艺术生成与传播的时代问题与挑战  

The Revolutionary Application of Digital Humanistic Methods in the AI Era:The Era Problems and Challenges of Art Generation and Communication

作　　者：郑川[1] Zheng Chuan

机构地区：[1]四川美术学院艺术人文学院

出　　处：《艺术传播研究》2024年第3期37-48,共12页Journal of Art Communication

基　　金：重庆市教委人文社科研究一般项目“中华文化复兴与传统手工艺跨媒介文本创新研究”(编号:20SKGH159)的阶段性成果。

摘　　要：数字人文方法曾长期隐而不显地被运用于艺术人文领域;在人工智能时代,数字人文方法以其革命性开始呈现为一种“显学”,其表征包括人工智能在艺术价值评估、艺术教育创新、文化传承与交流甚至艺术生产等方面大范围显现其充沛能量,以及“数字艺术史”在研究视域中的革新。基于深度学习,机器智能模型以高效、精确的艺术大数据挖掘,对艺术生成、艺术传播的当代场景予以持续创新。然而,在积极拥抱人工智能新技术的同时,数字人文也应在对人文关怀传统的坚守中重构其“人文”和“数字”的平衡。Digital humanities methods have long been subtly applied in the field of art and humanities.In the era of AI,with artificial intelligence in art value evaluation,art education innovation,cultural heritage and communication,and even art production in a wide range of abundant energy,“digital art”in the innovation of the research field,digital humanities method began to use its revolutionary present as a highly anticipated and prominent discipline.Based on deep learning,machine intelligence models continuously innovate contemporary scenes of art generation and art communication through efficient,accurate,and fast art big data mining.However,while actively embracing new technologies in artificial intelligence,digital humanities need to reconstruct the balance between“humanity”and“digital”in the traditional persistence of humanistic care.

关 键 词：人工智能 数字人文 艺术大数据 深度学习 生成式艺术 

分 类 号：J0-05[艺术—艺术理论] TP18[自动化与计算机技术—控制理论与控制工程]