Artificial Intelligence as a risk and opportunity for the authenticity of archives

AI

Details

  • Period: 2023-08-15 – 2028-08-14
  • Budget: 7,000,000 SEK
  • Funder: The Wallenberg Foundations
  • Type of funding: Research Project, WASP-HS

About the project

The purpose of this project is to conceptualise and guide the design of AI based methods which embody and address archival professional imperatives by using open and available datasets from the Swedish National Archives (Riksarkivet, thereon RA) and the Swedish National Heritage Board (Riksantikvarieämbetet, thereon RAÄ).

The project also aims to:

  1. articulate Swedish archival imperatives (e.g., archival diplomatics, automatic classification and community assessment)
  2. conceptualise and guide the design of AI systems to support imperatives
  3. provide an evaluative framework to assess AI implementation and performance including societal impact, providing means to maintain and assess the authenticity of human memory.

This project will fulfill a series of objectives which include matching archival imperatives with AI possibilities by surveying AI implementations and technologies, and archival principles and problematics, including diplomatics and service objectives by creating an archival AI Conceptual Framework (CF).

Moreover, other objectives include formulating an evaluative methodology to assess the performance of the CF; exploring how archival AI implementations would address wider societal issues, such as: aligning archives to heritage futures (service objectives) and addressing issues of fake news and propagandistic/inauthentic cultural appropriations (diplomatics).

More information: https://lnu.se/en/research/research-projects/project-artificial-intelligence-as-a-risk-and-opportunity-for-the-authenticity-of-archives/

 

Project members

Project leader: Anna Foka, Koraljka Golub
Co-investigators: Isto Huvila, Mo von Bychelberg, Ahmad Kamal, Johannes Widegren, Marcelo Milrad, Saara Taalas

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