HERIT-AI 2026: Iberoamerican Workshop on Trustworthy Artificial Intelligence and Cultural Heritage

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.

Types of Contributions

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.
• Emerging contributions (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.
• FAIR principles (Findable, Accessible, Interoperable, Reusable) for complex datasets, ensuring long-term access to historical and social data.
• AI-Ready Archives: Structuring historical archives and cultural data so modern artificial intelligence tools can process them effectively.

Submission Guidelines

• Languages: English, Spanish, and Portuguese. For submissions in Spanish or Portuguese, an abstract in English should also be provided.
• Format: Submissions should follow the Springer LNCS format.
• Submission: Papers should be submitted electronically through Easychair using the the HERIT-AI 2026 submission system.
• Review Process: All submissions will undergo a single-blind peer-review process.
• Use of Artificial Intelligence: AI-generated papers are not permitted. Authors must disclose any use of AI tools in the preparation of their submission, including the tools used and the purpose of their use. The substantive scientific content, ideas, analysis, and conclusions of the paper must be the authors' own work.

Proceedings

• Accepted papers will be included in the workshop on-line proceedings.
• At least one author of each accepted paper is expected to register to the workshop and attend the workshop to present the paper.
• We aim at selecting extended and revised versions of accepted papers to appear in a special issue of an international journal provided that a sufficient amount of high quality papers is collected. Such papers will go through a second formal selection process to meet the high quality standard of the journal.

Important Dates

• Abstracts registration deadline: October 12, 2026
• Papers Submission deadline: October 18, 2026
• Notification of acceptance: November 3, 2026
• Workshop: November 17, 2026

Committees

Program Committee

• Andre Carvalho, Federal University of Ouro Preto (UFOP), Brazil
• Cecilia Maria Pardo, University of the Pacifico (UP), Peru
• Cesar Augusto Tacla, Federal University of Technology of Parana (UTFPR), Brazil
• Esteban Guerrero, Umea University (UMU), Sweden
• Guillermo Simari, National University of the South, Argentina
• Karl Apaza Aguero, Federal University of Bahia (UFBA), Brazil
• Laurie Alice Vera, National University of Asuncion (UNA), Paraguay
• Sara Martinez Cardama, Carlos III University of Madrid (UC3M), Spain
• Stella Heras, Valencian Research Institute for Artificial Intelligence (UPV), Spain
• Vera Moitinho de Almeida, University of Porto (U.Porto), Portugal

Organizing Committee

• Ph.D. Juan Carlos Nieves, Umeå University
• Ph.D. Mariela Morveli Espinoza, Umeå University
• Ph.D. Ulises Cortes, Universitat Politècnica de Catalunya

Invited Speakers

• TBA

Venue

Facultad Politécnica
Universidad Nacional de Asunción (UNA)
Campus de la UNA
San Lorenzo, Paraguay

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Contact

HERIT-AI26@iberamia.org