Graphic: Linnea flowers

Doctoral project: Human-centered AI approaches for improved information discoverability in Sámi archival collections

Hoes does AI affect the possibilities of promoting Sámi archival collections? Can AI be used to improve discoverability in an ethical and sustainable way from an Indigenous point of view? This project seeks to answer these questions in collaboration with Sámi cultural heritage institutions.

Project information

Doctoral student
Johannes Widegren
Supervisor
Koraljka Golub
Assistant supervisor
Ahmad M. Kamal Saara Taalas Rafael Messias Martins
Participating organisations
Linnaeus University, Stiftelsen Samefolket Institutet för Språk och Folkminnen
Financier
WASP-HS: Wallenberg AI, Autonomous Systems and Software Program - Humanity and Society
Timetable
November 2023 – June 2029
Subject
Digital Humanities, Library and Information Science (Department of Cultural Sciences, Faculty of Arts and Humanities)

More about the project

Recent developments in AI have transformed the ability of cultural heritage institutions to create access and searchability in their archives. This opens up new ways of contrasting and correcting the colonial history writing based

on archival records created by dominant groups. The question is whether the new AI technologies are suitable for use with Sámi archives, with their own cultural and linguistic specificity? Or does the use of AI risk further marginalizing and suppressing silenced

voices in the archives? Only by collaborating with Sámi cultural heritage institutions and users can new knowledge be created on how to approach the risks and opportunities that AI for archives creates.

The project is part of the research in the research project Children on the margins – when children's care responsibilities are (in)visible in social services' assessments