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International projects

InterPARES Trust Artificial Intelligence (I Trust AI)

Definition

I Trust AI is a multidisciplinary, multinational project led by the University of British Columbia, aimed at designing, developing and leveraging artificial intelligence to support the availability and access to public records through the creation of a sustainable working network involving academia, archival institutions, professionals and industry in a feedback process that strengthens knowledge across all parties.

Objectives

  1. Identify specific AI technologies that can address critical challenges in records and archives
  2. Determine the benefits and risks of using AI technologies in records and archives
  3. Ensure that archival concepts and principles are embedded in the development of responsible AI
  4. Validate the results of objective 3 through case studies and demonstrations

Timeline

  • Project start: 2021
  • Project end: 2026

Team

The project involves individuals and institutions from 30 countries and 5 continents: 83 universities, 22 companies and international organizations, 16 national and regional archives, 118 academics, 102 professionals and 41 student-researchers.

Working groups

  • Creation and use
  • Appraisal and acquisition
  • Classification and description
  • Retention and preservation
  • Management and administration
  • Reference and access
  • General studies

Participation

The Girona City Council participates through its technical staff as a specialist collaborator in various working groups and collective case studies. The SGDAP’s estimated total contribution as a partner is €70,000 in staff time, including the organization and support of activities throughout the 5 years of the project.

Related activities

Programme

The InterPARES Trust Artificial Intelligence Project Muhammad Abdul-Mageed, University of British Columbia
Linking AI to Archives and Records Peter Sullivan, University of British Columbia
Archival challenges and AI Hrvoje Stancic, University of Zagreb
Model for an AI-Assisted Digitization Project Eng Sengsavang, UNESCO
Zeljko Trbusic, University of Zagreb
Peter Sullivan, University of British Columbia
AI and Archives: Basic Requirements Pilar Campos, Barcelona City Council
AI literacy for access and archival preservation Moises Rockembach, KU Leuven
Artificial Intelligence to support public digital archiving Mashilo Modiba, University of South Africa
Ngoako Marutha, University of South Africa
AI and Human Rights Archives Gerard Corbella, La Foneria
Automated transcription: palaeography and AI Thiara Alves, National Archives of Brazil
Leonardo Augusto Silva Fontes, National Archives of Brazil
First steps and main expectations from CRDI’s experience in AI David Iglesias, Girona City Council
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