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Project type/Form of grant
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Title [en]
AI Futures of Culture and Memory
Abstract [en]
This research cluster investigates how AI-driven technologies are transforming not only the ways in which we create, curate, and preserve cultural memory but also how they are reshaping creative professions, organizations, and the very institutions at the heart of cultural life. A central aim of the cluster is to ensure that the integration of AI into the cultural sector is both ethical and inclusive, attentive to issues of sustainability, bias mitigation, and the amplification of diverse voices.
Publications (1 of 1) Show all publications
Aspenskog, R. (2026). MenuData: Metadata, Knowledge Organisation, and Human–AI Co-Creation in Computational Analysis of Historical Restaurant Menus. In: : . Paper presented at WASP-HS Winter Conference 2026, Lund, Sweden, 4–6 February, 2026.
Open this publication in new window or tab >>MenuData: Metadata, Knowledge Organisation, and Human–AI Co-Creation in Computational Analysis of Historical Restaurant Menus
2026 (English)Conference paper, Poster (with or without abstract) (Other academic)
National Category
Interdisciplinary Studies in Humanities and Arts Cultural Studies Information Studies
Research subject
Humanities, Library and Information Science
Identifiers
urn:nbn:se:lnu:diva-144262 (URN)
Conference
WASP-HS Winter Conference 2026, Lund, Sweden, 4–6 February, 2026
Funder
Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
Note

Ej belagd 260203

Available from: 2026-01-22 Created: 2026-01-22 Last updated: 2026-02-25Bibliographically approved
Co-InvestigatorGolub, Koraljka
Co-InvestigatorAspenskog, Robert
Co-InvestigatorTaalas, Saara L.
Co-InvestigatorHanell, Fredrik
Co-InvestigatorIsraelson, Per
Co-InvestigatorKamal, Ahmad M.
Co-InvestigatorOlsson, Anders
Coordinating organisation
Linnaeus University
Funder
Period
2025-09-01 － 2029-09-30
Keywords [en]
AI, archives, libraries, museums, creativity, cultural heritage, knowledge organization
National Category
Information Studies
Identifiers
DiVA, id: project:9902

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