HERIT-AI is a workshop that aims to bring together AI researchers and professionals from museums, archives, libraries, archaeology, conservation, digital humanities, and other Cultural Heritage institutions to foster interdisciplinary collaboration and knowledge exchange. Beyond original research papers, the workshop will provide a forum for discussing real-world experiences, case studies, pilot projects, and ongoing initiatives involving the adoption of AI in Cultural Heritage.

By promoting a two-way dialogue between both communities, the workshop seeks to connect practical heritage needs with emerging AI research, enabling heritage challenges to inspire new AI solutions while advances in AI contribute to the preservation, understanding, management, and dissemination of Cultural Heritage. Through this exchange, participants will identify current needs, share best practices, discuss open research challenges, and establish collaborations that benefit both the Artificial Intelligence and Cultural Heritage communities. The vision of HERIT-AI is to build an Ibero-American community where Artificial Intelligence and Cultural Heritage evolve together. By encouraging dialogue, co-creation, and interdisciplinary collaboration, the workshop seeks not only to advance AI applications for cultural heritage, but also to inspire the development of a more human-centered, trustworthy, and socially meaningful Artificial Intelligence through one of humanity’s most valuable domains.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

• Full research papers (up to 15 pages, including references). Original research contribution presenting novel methods, approaches, systems, or empirical results at the intersection of Trustworthy AI and Cultural Heritage
• Short research papers (up to 10 pages, including references). These contributions should present a clearly defined research problem and an emerging or work-in-progress scientific contribution, including preliminary methods, results, or findings. Reviews will emphasize novelty, originality, scientific relevance, and research potential.
• Blue-sky ideas (up to 10 pages, including references). Innovative ideas, emerging research directions, conceptual approaches, and visions for the future of Trustworthy AI and Cultural Heritage.
• Extended abstracts (up to 4 pages, including references). These contributions are intended for early-stage ideas, preliminary projects, prototypes, datasets, demonstrations, case studies, or emerging initiatives that are not yet sufficiently developed for a research paper. Accepted contributions will be presented as physical posters during the workshop, encouraging direct interaction, feedback, and discussion with participants.
   

List of Topics

• Intelligent digitization, documentation, and long-term preservation of cultural heritage assets.
• Computer vision techniques for artwork analysis, object recognition, image retrieval, damage assessment, and virtual reconstruction.
• Natural language processing and large language models for historical documents, archives, multilingual collections, and cultural knowledge extraction.
• Knowledge representation, knowledge graphs, semantic technologies, and reasoning for modeling and integrating cultural heritage information.
• Explainable, trustworthy, and responsible AI for supporting decision-making in museums, archives, libraries, and heritage institutions.
• AI-assisted conservation, restoration, monitoring, and risk assessment of cultural heritage.
• Generative AI and digital storytelling for education, interpretation, and public engagement.
• AI-supported visitor experiences, personalization, accessibility, and inclusive cultural participation.
• Ethical, legal, organizational, and societal challenges associated with the adoption of AI in Cultural Heritage.
• Real-world deployments, case studies, interdisciplinary collaborations, and evaluation methodologies for AI systems in heritage contexts.
• Misinformation, disinformation, and inaccurate or misleading narratives in AI-generated and AI-assisted representations of Cultural Heritage.

Committees

Program Committee

• TBA

Organizing Committee

• Ph.D. Juan Carlos Nieves
• Ph.D. Mariela Morveli Espinoza
• Ph.D. Ulises Cortes

Invited Speakers

• TBA

Publication

The proceedings are intended to be submitted to CEUR-WS.org for online publication, subject to the fulfillment of its publication requirements.

Venue

The workshop will be held in the Facultad Politécnica, campus of the Universidad Nacional de Asunción (UNA).

Contact

morvesma@cs.umu.se