Call for Papers

AI4C 2026 welcomes original research on cultural intelligence and related interdisciplinary topics. We invite submissions that explore how artificial intelligence can support cultural understanding, preservation, creation, communication and responsible innovation across diverse cultural contexts, as well as frontier AI technologies and their applications in film and television, press and publishing, cultural tourism, audiovisual media, cultural heritage, digital creativity, and other cultural domains.

Topics include, but are not limited to:

• Generative Artificial Intelligence
  • Generative art, music, picture, video, literature, and design
  • AIGC for cultural content production, style inheritance, and innovation
• Cultural Data Processing & Visualization
  • Collection, annotation, and quality assessment of multimodal cultural data
  • Visualization and visual analytics of cultural data for insight discovery, storytelling, or decision support
• Cultural Language & Multimodal Understanding
  • Low-resource and language technologies and cross-cultural NLP
  • Vision-language and multimodal models grounded in local cultural contexts
  • Cross-modal retrieval, description, and interpretation of cultural content
  • Cultural Knowledge Representation & Reasoning
• AI for Cultural Media & Communication
  • Intelligent production, distribution, and recommendation in publishing and news media
  • Cross-cultural communication, translation, and international dissemination of culture
• AI for Cultural Video/Movies & Audio
  • Intelligent production for movies, videos and music
  • AI applications in film, television, and audiovisual content
• AI for Cultural Tourism & Immersive Experience
  • VR/MR/XR
  • Spatial computing, digital humans/performers, embodied cultural agents, and affective computing for immersive scenarios
  • Metaverse
• AI for Cultural Heritage & Preservation
  • Digitization, restoration, and semantic understanding of artifacts and historic sites
  • Intangible cultural heritage modeling, transmission, and living preservation
  • High-precision reconstruction and digital twins of cultural relics and sites
• Responsible & Trustworthy AI for Culture
  • Bias, fairness, provenance, and copyright in cultural AI systems
  • AI safety, ethics, and governance in cultural domains
  • Cultural AIGC security technologies