由MIR参与合作举办的学术会议AIART 2026将于2026年7月5-9日 (与ICME 2025同期) 在曼谷召开，欢迎投稿&参会！

The 8th IEEE Workshop on

Artificial Intelligence for Art Creation

(AIART 2026)

https://aiart2026.github.io/

Introduction

Recent advances brought by Multimodal Large Language Model (MLLM), Multimodal Agents, and Embodied Intelligence have been powerful driving forces for art generation and understanding, drawing more and more attention from both academia and industry. Across creative fields, AI has already sparked new genres and experimentations in painting, music, film, storytelling, fashion and design. Researchers explore the human and AI co-creativity as well as the ethical implications of AI arts. AI has been applied to art historical research, cultural heritage revitalization, and media studies. The aesthetic value of AI generated content and AI’s impact on art appreciation have also been a contended subject in recent scholarship. AI has not only exhibited creative potential, but also stimulated research from diverse perspectives of neuroscience, cognitive science, psychology, literature, art history, media and communication studies. Despite all these promising features of AI for Art, we still have to face the many challenges such as the biases in AI models, lack of transparency and interpretability in algorithms, and copyright issues of training data and AI Art works.

This is the 8th AIART workshop to be held in conjunction with ICME 2026 in Bangkok, Thailand, and it aims to bring forward cutting-edge technologies and most recent advances in the area of AI art as well as perspectives from related disciplines. 

The theme topic of AIART 2026 will be Multimodal Agents for AI Art. We plan to invite 5 keynote speakers to present their insightful perspectives on AI art.

Partner: Machine Intelligence Research

Machine Intelligence Research (IF:8.7, JCR Q1), published by Springer, and sponsored by Institute of Automation, Chinese Academy of Sciences, is formally released in 2022. The journal publishes high-quality papers on original theoretical and experimental research, targets special issues on emerging topics and specific subjects, and strives to bridge the gap between theoretical research and practical applications. The journal has been indexed by ESCI, EI, Scopus, CSCD, etc.

MIR official websites:

https://www.springer.com/journal/11633

https://www.mi-research.net

MIR Editor-in-Chief:

Tan Tieniu, Nanjing University & Chinese Academy of Sciences

MIR Associate Editors-in-Chief

Yike Guo, Hong Kong University of Science and Technology, China

Brian C. Lovell, The University of Queensland, Australia

Danilo P. Mandic, Imperial College London, UK

Liang Wang, Chinese Academy of Sciences, China

Topics

We sincerely invite high-quality papers presenting or addressing issues related to AI art, including but not limited to the following topics:

Track 1: Theories for AI Art 

·Neuroscience 

·Cognitive science and Psychology 

·Aesthetics 

·Creativity 

·Arts (Fine Arts, Arts and Crafts, Performing Arts, Interdisciplinary Arts, Literature and Art)

Track 2: AI for Art Generation

·AI for painting and calligraphy 

·AI for video and movie 

·AI for music and audio 

·AI for literature 

·AI for design 

·AI for videogame 

·Adaptive expression

Track 3: AI for Art Understanding 

·Affective computing 

·Aesthetic evaluation 

·Multimodal agents 

·Embodied intelligence 

·World foundation models

Track 4: AI Art in Extended Reality (XR) 

·AI-driven procedural generation for VR/AR worlds 

·Virtual humans and digital performers 

·AI choreography for volumetric video and motion capture 

·Physics-aware and interactable generative assets

Track 5: Human-AI Co-Creation & Interaction 

·Interactive AI tools for artists 

·Real-time co-creation systems 

·XR/VR/AR environments for human-AI creative expression 

·Human-AI agency and authorship models 

·Perception and UX research in creative tool design 

Track 6: AI for Humanity and the Humanities 

·AI for cultural heritage 

·AI for media studies 

·AI for social justice 

·AI for accessibility 

·AI for empathy 

·AI for textual analysis

·AI ethics and safety 

·Authentication and IPR issues of AI artworks 

·Deepfake detection for creative industries

The authors of selected high-quality papers will be invited to submit an extended version to the Machine Intelligence Research (MIR) journal published by Springer, and the Transactions on Artificial Intelligence (TAI) journal published by Scilight. 

Additionally, Best Paper Award will be given. 

AIART 2026 will continue to organize the 2nd AIART Gallery for artists to showcase their creative AI artworks in the form of in-person gallery. The AIART Gallery will provide a great opportunity for people to experience interactive artworks and communicate creative ideas.

Paper Submissons

Authors should prepare their manuscript according to the Guide for Authors of ICME available at Author Information and Submission Instructions: 

https://2026.ieeeicme.org/author-information-and-submission-instructions/ 

Submissions due March 25, 2026

Submission address: 

https://cmt3.research.microsoft.com/ICMEW2026

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关于Machine Intelligence Research

Machine Intelligence Research（简称MIR，原刊名International Journal of Automation and Computing）由中国科学院自动化研究所主办，于2022年正式出版。MIR立足国内、面向全球，着眼于服务国家战略需求，刊发机器智能领域最新原创研究性论文、综述、评论等，全面报道国际机器智能领域的基础理论和前沿创新研究成果，促进国际学术交流与学科发展，服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划"，已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等20余家国际数据库收录，入选图像图形领域期刊分级目录-T2级知名期刊。2022年首个CiteScore分值在计算机科学、工程、数学三大领域的八个子方向排名均跻身Q1区，最佳排名挺进Top 4%，2023年CiteScore分值继续跻身Q1区。2024年获得首个影响因子(IF) 6.4，位列人工智能及自动化&控制系统两个领域JCR Q1区；2025年发布的最新影响因子达8.7，继续跻身JCR Q1区，最佳排名进入全球第6名；2025年一举进入中国科学院期刊分区表计算机科学二区。