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[Commlist] CfP: Generative AI and Cultural Heritage international conference
Thu May 07 10:07:19 GMT 2026
Call for Papers
Generative AI and Cultural Heritage
International conference, University of Turin, Italy, 29-30 Oct. 2026
Sponsored by /_Global Media and China_/
<https://journals.sagepub.com/home/GCH> (Sage Journals)
Organisers:
Simone Natale (University of Turin, Italy)
Deqiang Ji (Communication University of China)
Anthony Fung (The Chinese University of Hong Kong)
Dianlin Huang (Communication University of China)
Location and date: Scuola di Studi Superiori Ferdinando Rossi,
University of Turin, Turin, Italy, 29-30 October 2026
Cultural heritage - defined as the tangible and intangible legacy that
is passed down from generation to generation - has always been sensitive
to technological innovation. From photography to film, from computing to
the Internet, from social media to virtual reality, cultural
preservation, exhibition, communication and memory has been informed by
the introduction of media innovations, and institutions such as museums,
archives and libraries have often been early adopters of new
technologies. Technological companies such as internet platforms have
also been active in protecting and innovating cultural heritage for
either commercial or public purposes. The development of Generative AI
signals a new episode in this trajectory. Systems such as Large Language
Models (LLMs) and text-to-image models provide new resources for
institutions, platforms, practitioners, and users to engage with the
historical record, produce text and audiovisuals related to cultural
heritage, and access historical sources. Through a combination of
interdisciplinary keynotes, paper presentations and roundtables, this
conference aims to illuminate the implications of these emerging
practices and approaches.
As argued by Nieto McAvoy & Kidd (2024), these changes and processes
lead to the emergence of “synthetic heritage,” understood as the
activation of generative AI to blend authentic historical elements with
artificial enhancements. Synthetic heritage opens new pathways of
engagement with the public, but also raises several challenges and
potential risks: for instance, AI’s uneasy relationship with accuracy
and the propensity of LLMs to hallucinate invites questions about its
capacity to ensure historical validity and appropriate reliance on
sources (Schuh, 2024; Matei, 2024). Synthetic heritage, moreover,
invites scholars and practitioners to reconsider existing notions and
discussions as well as to imagine new ways to capture and make sense of
the ongoing change. The conference will create a forum where theoretical
notions such as authenticity, cultural memory, and heritage can be taken
into account and rediscussed in the context of changing technological
systems.
Addressing such issues is particularly urgent in a moment when decisions
are being taken in the cultural heritage sector about the adoption of
these technologies. Applications of generative AI for cultural heritage
are in fact manifold. In institutions such as museums and archives, they
include chatbots impersonating historical characters (Natale et al.,
2025), the production of synthetic images illustrating possible pasts
(Kidd & Nieto McAvoy, 2023), interactive museum guides and search tools
powered by LLMs to give access to online databases and archives
(Jaillant et al., 2025). Internet platforms, as the main operator of
generative AI, use it for producing multi-model cultural products, and
moderating/manipulating interactive relations with users. More broadly,
the adoption of AI is rapidly informing the practical ways through which
practitioners and users access and interact with materials and
information about the past: think, for instance, of how LLMs such as
ChatGPT and Deepseek provide their users with information about the
past, or how search engines such as Google and Baidu create historical
narratives through the integration of AI-generated summaries in their
services. The conference will take into account these and other
applications, providing a forum to interrogate how AI is impacting
cultural heritage, memory, communication, and the past through
theoretical and empirical-based research.
The conference is sponsored by /Global Media and China/, a Sage journal
that pursues an international approach to original research. Based on
the recognition that AI is a global phenomenon, but at the same time
always situated in specific cultural contexts (Natale & Ji, 2025), the
conference will particularly welcome contributions that consider the
implications of global variation in AI deployment - for instance,
differences between different regions of cultural contexts in shaping
the production, circulation, and governance of cultural heritage, and/or
explore the power relations involved in how global AI platforms
moderate, manipulate, and present cultural heritage contents to
different public. Empirical research, case studies, and theoretical
perspectives from diverse cultural and geographic contexts are welcome.
Relevant topics may include, but are not limited to:
*
Synthetic heritage and synthetic past
*
Impact of AI on cultural and collective memory
*
Generative AI, synthetic heritage and authenticity
*
Public policies on AI and cultural heritage
*
Applications of AI in cultural heritage institutions including
museums, archives and libraries
*
Opportunities and pitfalls associated with the use of generative AI
for cultural heritage
*
AI and intangible heritage
*
Generative AI, cultural memory and vernacular practices
*
Comparative analysis of the use of generative AI in different
national, cultural and geographic contexts
*
AI, digital platforms and cultural heritage
*
Geopolitics and cultural politics of generative AI in the cultural
heritage domain
The conference will not require the payment of registration fees.
Please send 250-300 words abstracts and a 100 words biographical note in
one single document, making sure that the email’s subject indicates
“Proposal for the Cultural heritage and generative AI conference,” to
the following contacts: _simone.natale@unito.it_
<mailto:(simone.natale /at/ unito.it)> and (_jideqiang /at/ cuc.edu).cn_
<mailto:(jideqiang /at/ cuc.edu.cn)>
Deadline for the submission of abstracts: 30 June 2026
Accepted abstracts notified by: 20 July 2026
References
Jaillant, L., Warwick, C., Gooding, P., Aske, K., Layne-Worthey, G., &
Downie, J. S. (eds.) (2025). /Navigating artificial intelligence for
cultural heritage organisations/. UCL Press.
Kidd, J., & Nieto McAvoy, E. (2023). Deep Nostalgia: Remediated memory,
algorithmic nostalgia and technological ambivalence. /Convergence: The
International Journal of Research into New Media Technologies/, 29(3),
620-640.
Matei Ș (2024) Generative artificial intelligence and collective
remembering: The technological mediation of mnemotechnic values.
/Journal of Human-Technology Relations /2.1: 1-22.
https://doi.org/10.59490/jhtr.2024.2.7405
Natale, S., & Ji, D. (2025). Human-machine communication cultures:
Introduction. /Global Media and China/, /10/(4), 417-424.
Natale, S., Surace, B., Mensa, E., & Befera, L. (2025). ChatGPT for
cultural heritage and the customization of generative AI: A talkthrough
analysis of the Luigi Einaudi chatbot. /New Media & Society/, 0(0).
_https://doi.org/10.1177/14614448251384258_
<https://doi.org/10.1177/14614448251384258>
Nieto McAvoy, E., & Kidd, J. (2024). Synthetic Heritage: Online
platforms, deceptive genealogy and the ethics of algorithmically
generated memory. /Memory, Mind & Media/, 3, e12.
Schuh, J. (2024). AI As Artificial Memory: A Global Reconfiguration of
Our Collective Memory Practices? Memory Studies Review, 1, 231-55.
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