IAI4CH

IAI4CH

2nd Workshop on Artificial Intelligence for Cultural Heritage

IAI4CH

IAI4CH 2023 @ AI*IA 2023

Welcome to the web site of IAI4CH , the 2nd Workshop on Artificial Intelligence for Cultural Heritage, which will be held in conjunction with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), which will take place in Roma (Italy) from 6 to 9 november 2023.

IAICH aims at bringing together researchers, policy makers, professionals and practitioners to explore the main issues concerning the application of Artificial Intelligence to cultural heritage. In particular, it aims at fostering interdisciplinary and multi-disciplinary research on tangible and intangible Cultural Heritage, promoting the use of Artificial Intelligence models, methodologies and tools for the study, research, preservation and dissemination of CH content.
At the same time, the workshop will encourage discussion on the ethical aspects and sustainability issues involved in the management, delivery and conservation of cultural heritage, with a specific focus on the involvement of all kinds of stakeholders, so as to represent the different perspectives and communities involved in CH practices.
The workshop will also put an emphasis on the exchange of experiences and transfer of good practices within the vast and varied community revolving around Cultural Heritage computing and Artificial Intelligence, with the goal of extending at the national and international level the results achieved by projects, case studies, applications.
An effort will be made to create synergies with other relevant events in the field, such as TPDL (Theory and Practice of Digital Libraries), IRCDL (Italian Research Conference on Digital Libraries).
Authors are invited to submit original, unpublished research and project papers that are not (and will not be) simultaneously under consideration for publication elsewhere.
The review process will be informed on the guidelines of Open Science expressed here: https://open-sci.github.io/review/