Research on the Application of Generative AI in Digital Art Design for Intangible Cultural Heritage

With its unique interactivity, communicative power, and innovativeness, digital art design offers a new pathway for the dissemination of intangible cultural heritage (ICH). As a cutting-edge technology in the field of artificial intelligence, generative AI leverages machine learning algorithms and big data analytics to automatically generate multimodal content such as text, images, audio, and video, thereby greatly enhancing design efficiency. This study examines the characteristics and challenges of digital art design related to ICH, elucidates the fundamental principles and technical features of generative AI, and discusses its application logic and potential scenarios in ICH-focused digital art design. It also identifies the current limitations of generative AI and proposes corresponding solutions, aiming to provide new approaches and methods for ICH transmission and preservation, advance the integration of digital art design with AI technologies, and promote innovative development in the cultural and creative industries related to ICH.

Authors

Institutions

Publication Details

Journal
Global Humanities and Social Sciences
Published
2025-04-25
DOI
https://doi.org/10.61360/bonighss252017990301
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Application of Generative AI in Digital Art Design for Intangible Cultural Heritage

Jia Chao
Global Humanities and Social Sciences
Digital Media and Visual Art
article

Research on the Application of Generative AI in Digital Art Design for Intangible Cultural Heritage

Jia Chao
article en

Abstract

With its unique interactivity, communicative power, and innovativeness, digital art design offers a new pathway for the dissemination of intangible cultural heritage (ICH). As a cutting-edge technology in the field of artificial intelligence, generative AI leverages machine learning algorithms and big data analytics to automatically generate multimodal content such as text, images, audio, and video, thereby greatly enhancing design efficiency. This study examines the characteristics and challenges of digital art design related to ICH, elucidates the fundamental principles and technical features of generative AI, and discusses its application logic and potential scenarios in ICH-focused digital art design. It also identifies the current limitations of generative AI and proposes corresponding solutions, aiming to provide new approaches and methods for ICH transmission and preservation, advance the integration of digital art design with AI technologies, and promote innovative development in the cultural and creative industries related to ICH.

Global Humanities and Social SciencesVol. 6(3)
Leshan Normal University (CN)
Openalex Percentile: Top 82%
Digital Media and Visual Art
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Application of Generative AI in Digital Art Design for Intangible Cultural Heritage — Jia Chao · Global Humanities and Social Sciences (2025) | TGRS Research Map | TGRS