AI-assisted Knowledge Organization for Indigenous Archival Collections: Focus on the Sámi in Sweden
Widegren, Johannes
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https://hdl.handle.net/2142/132984
Description
Title
AI-assisted Knowledge Organization for Indigenous Archival Collections: Focus on the Sámi in Sweden
Author(s)
Widegren, Johannes
Issue Date
2026-03-12
Keyword(s)
Artificial intelligence
Indigenous archives
Participatory research
Sámi
Abstract
Introduction. This literature review summarizes previous research in the intersection between Sámi knowledge organization (KO), Sámi/other Indigenous views on AI and AI-assisted KO to suggest guidelines for future research in this field.
Method. Articles were collected using a snowball approach complemented by keyword searches across interdisciplinary databases.
Results. The literature from the three junctions of Indigenous KO, Indigenous AI and AI-assisted KO all align with Sámi research ethics in this respect: research on AI-assisted KO for Sámi archival collections should be participatory and community-grounded with empowerment as an end goal. AI systems should integrate Indigenous knowledges and the community should be involved in their design, implementation and evaluation.
Conclusion. Researching AI for Sámi archives is a complex endeavor which requires careful consideration of research ethics. It should strive for shared authority with the Sámi community in the entire research cycle.
Publisher
iSchools
Series/Report Name or Number
iConference 2026 Proceedings
Type of Resource
Other
Genre of Resource
Conference Poster
Language
eng
Permalink
https://hdl.handle.net/2142/132984
Copyright and License Information
Copyright 2026 is held by Johannes Widegren. Copyright permissions, when appropriate, must be obtained directly from the authors.
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