AI Futures of Culture and Memory
Human culture and humanity’s creative memory — how are they affected by AI? How does technology influence the way we perceive, present, and express culture? What role does technology play in the production, communication, preservation, and interpretation of our shared memories? These questions are explored by researchers within the WASP-HS research theme AI Futures of Culture and Memory.
From a scientific perspective, the cluster contributes to developments in art, the humanities, and social sciences by bringing together diverse perspectives and methods. The aim is to create more human-centered, inclusive, and sustainable AI systems and to foster constructive dialogue between AI, art, the humanities, and social sciences.
From a societal perspective, the cluster addresses current challenges such as social and environmental sustainability, ethics, and humanity in AI integration. By analyzing AI’s impact on cultural representation and copyright, the cluster promotes diversity, inclusion, and cultural sensitivity. A focus on participatory methods and collaboration with various stakeholders ensures that multiple perspectives are considered, contributing to a more transparent and responsible AI ecosystem. The cluster thus plays an important role in shaping public discourse on AI, building trust, and ensuring that AI development aligns with society’s values and needs.
Vision
To shape inclusive, ethical, and sustainable AI futures for culture and memory by fostering interdisciplinary research that bridges the humanities, social sciences, and technology. The cluster envisions a world where AI is a tool that is used for good, enhancing cultural understanding, supporting creative expression, and promoting social and environmental justice.
Mission
The mission of the AI Futures of Culture and Memory theme is to:
● Advance cutting-edge interdisciplinary research on the transformative impact of AI on culture, memory, and creativity.
● Critically examine the ethical, legal, and societal implications of AI technologies in cultural and creative domains.
● Promote inclusive and participatory approaches that empower diverse communities and address systemic biases in AI systems.
● Develop sustainable frameworks and methodologies for AI integration in cultural institutions and creative industries.
● Facilitate dialogue and collaboration among academia, industry, public institutions, and civil society to co-create responsible AI futures.
Research Leaders
Koraljka Gorub
Linnaeus University
Kıvanç Tatar
Chalmers University of Technology
André Holzapfel
KTH Royal Institute of Technology
Members
Gabriele Griffin
Uppsala University
Fredrik Tell
Uppsala University
Frantzeska Papadopoulou Skarp
Stockholm University
Johanna Björklund
Umeå University
Amanda Wasielewski
Uppsala University
Karl Berglund
Uppsala University
Helena Wangefelt Ström
Uppsala University
Matti La Mela
Uppsala University
Saara Taalas
Lund University
Katja de Vries
Uppsala University
Stefano Sarao Mannelli
Chalmers University of Technology,
University of Gothenburg
Rebekka Wohlrab
Chalmers University of Technology,
University of Gothenburg
Pedro Sanches
Umeå University
Per Israelson
Linnaeus University
Sarah Cook
Umeå University
Ylva Fernaeus
Umeå University,
KTH Royal Institute of Technology
Yulia Razmetaeva
Uppsala University
Cenk Demiroglu
Umeå University
Events
Selected Publications
Andersson, P.E., Arbin, K. & Rosenqvist, C. (2025) Assessing the value of artificial intelligence (AI) in governmental public procurement, Journal of Public Procurement, 25(1),120-139. https://doi.org/10.1108/JOPP-05-2024-0057
Arvidsson, M. & Larsson, S. (2025) Fulfilling the Christian mission through law: The Mission Covenant Church of Sweden as a legal actor in Congo 1881–1908. Studia Theologica. Epub ahead of print. https://doi.org/10.1080/0039338x.2025.2470720
Arvidsson, M., (2025) On gardens of the Anthropocene: Gendered violence, colonial legal enclosures, and feminist posthuman kinship, Journal of Human Rights and the Environment, vol. 16, pp. 137–167. https://doi.org/10.4337/jhre.2025.00.11
