Scouting emerging AI applications in fashion heritage and archival practices
Artificial intelligence (AI) increasingly influences the Cultural and Creative Industries (CCIs), offering new ways to support and enhance the sector. In the field of cultural heritage, AI has proven valuable across various disciplines, assisting in restoration, reconstruction, and the enrichment of...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-08-01
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| Series: | European Journal of Cultural Management and Policy |
| Subjects: | |
| Online Access: | https://www.frontierspartnerships.org/articles/10.3389/ejcmp.2025.14963/full |
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| author | Greta Rizzi Daria Casciani |
| author_facet | Greta Rizzi Daria Casciani |
| author_sort | Greta Rizzi |
| collection | DOAJ |
| description | Artificial intelligence (AI) increasingly influences the Cultural and Creative Industries (CCIs), offering new ways to support and enhance the sector. In the field of cultural heritage, AI has proven valuable across various disciplines, assisting in restoration, reconstruction, and the enrichment of historical knowledge. This paradigm opens new perspectives for fashion heritage, where AI technologies contribute to the preservation, reinterpretation, and dissemination of digitised archival materials, including garments, textiles, sketches, and photographs. This article investigates how AI is being integrated into fashion heritage practices by combining academic literature with practice-based evidence. Through an integrative review, it identifies three main trajectories of application: Conservation, Reinterpretation, and Exploration. These clusters highlight how AI is reshaping archival workflows, expanding access, and supporting new creative and curatorial approaches. The intersections between the trajectories give rise to the Creative Recovery, Heritage Imaginaries, and Augmented Access, which enable hybrid practices in current AI applications. The study concludes with a critical reflection on the main ethical concerns, including legal issues, economic implications, and concerns about data representation. These reflections are accompanied by a broader reconsideration of how memory is constructed and mediated in the contemporary context, increasingly shaped by human–AI collaboration. |
| format | Article |
| id | doaj-art-2a8d73e667ef44828bc4c21ff8b78714 |
| institution | Kabale University |
| issn | 2663-5771 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | European Journal of Cultural Management and Policy |
| spelling | doaj-art-2a8d73e667ef44828bc4c21ff8b787142025-08-20T03:41:50ZengFrontiers Media S.A.European Journal of Cultural Management and Policy2663-57712025-08-011510.3389/ejcmp.2025.1496314963Scouting emerging AI applications in fashion heritage and archival practicesGreta RizziDaria CascianiArtificial intelligence (AI) increasingly influences the Cultural and Creative Industries (CCIs), offering new ways to support and enhance the sector. In the field of cultural heritage, AI has proven valuable across various disciplines, assisting in restoration, reconstruction, and the enrichment of historical knowledge. This paradigm opens new perspectives for fashion heritage, where AI technologies contribute to the preservation, reinterpretation, and dissemination of digitised archival materials, including garments, textiles, sketches, and photographs. This article investigates how AI is being integrated into fashion heritage practices by combining academic literature with practice-based evidence. Through an integrative review, it identifies three main trajectories of application: Conservation, Reinterpretation, and Exploration. These clusters highlight how AI is reshaping archival workflows, expanding access, and supporting new creative and curatorial approaches. The intersections between the trajectories give rise to the Creative Recovery, Heritage Imaginaries, and Augmented Access, which enable hybrid practices in current AI applications. The study concludes with a critical reflection on the main ethical concerns, including legal issues, economic implications, and concerns about data representation. These reflections are accompanied by a broader reconsideration of how memory is constructed and mediated in the contemporary context, increasingly shaped by human–AI collaboration.https://www.frontierspartnerships.org/articles/10.3389/ejcmp.2025.14963/fullfashion designfashion archiveartificial intelligencefashion cultural heritagedigitalisation |
| spellingShingle | Greta Rizzi Daria Casciani Scouting emerging AI applications in fashion heritage and archival practices European Journal of Cultural Management and Policy fashion design fashion archive artificial intelligence fashion cultural heritage digitalisation |
| title | Scouting emerging AI applications in fashion heritage and archival practices |
| title_full | Scouting emerging AI applications in fashion heritage and archival practices |
| title_fullStr | Scouting emerging AI applications in fashion heritage and archival practices |
| title_full_unstemmed | Scouting emerging AI applications in fashion heritage and archival practices |
| title_short | Scouting emerging AI applications in fashion heritage and archival practices |
| title_sort | scouting emerging ai applications in fashion heritage and archival practices |
| topic | fashion design fashion archive artificial intelligence fashion cultural heritage digitalisation |
| url | https://www.frontierspartnerships.org/articles/10.3389/ejcmp.2025.14963/full |
| work_keys_str_mv | AT gretarizzi scoutingemergingaiapplicationsinfashionheritageandarchivalpractices AT dariacasciani scoutingemergingaiapplicationsinfashionheritageandarchivalpractices |