InterPARES Trust AI (2021-2026) is a multi-national interdisciplinary project aiming to design, develop, and leverage Artificial Intelligence to support the ongoing availability and accessibility of trustworthy public records by forming a sustainable, ongoing partnership producing original research, training students and other highly qualified personnel (HQP), and generating a virtuous circle between academia, archival institutions, government records professionals, and industry, a feedback loop reinforcing the knowledge and capabilities of each party.

The I Trust AI goals are to:

  1. Identify specific AI technologies that can address critical records and archives challenges;
  2. Determine the benefits and risks of using AI technologies on records and archives;
  3. Ensure that archival concepts and principles inform the development of responsible AI; and
  4. Validate outcomes from Objective 3 through case studies and demonstrations.

Recent Activity

Arias-Hernandez, R.|Fewster, K. - Module 2: Critical AI/ML, Indigenous AI/ML, and AI/ML Ethics for Archival Professionals. Teachable AI for the Archival Professions, AD01. December 2024.

MA05 Personal Information (PI) Lit Review - Annotated Bibliography - Final. Jim Suderman, Darra Hofman, Iori Khuhro, Erin Gilmore. November 29, 2024.

Khuhro, I. - Where's the Balance?: AI, Achives, and Privacy. 7th International Symposium, Bringing AI to the Archives. Denver, CO. October 25, 2024. Text.

Suderman, J.|Hofman, D.|Khuhro, I.|Gilmore, E. - Artificial Intelligence and Machine Learning at the Intersection of Privacy and Archives. Archeion, 2024, 125. December 3, 2024.

Arias-Hernandez, R.|Fewster, K.|Penniman, S. - "Artificial Intelligence and Machine Learning Competencies for the Archival Professions". Proceedings of the Association for Information Science and Technology. 87th Annual Meeting of the Association for Information Science & Technology. Oct. 25 – 29, 2024. Calgary, AB, Canada.

Ghosh, S.|Franks, P.|Shinde, G.|Kirstein, T. - AI in Archival Science -- A Systematic Review. arXiv:2401.09086v1. 7 Oct 2024.

Svard, P.|Seljan, S. - The Use of Language Models (LLMs) in the Public Sector and The Impact on Public Records: A Case of Swede and Croatia. Atlanti, No. 2 Vol. 34. 2024. pp. 56 – 72.

7th International Symposium, Denver, Colorado, Bringing AI to the Archives. October 25, 2024. Video presentations.

Abdul-Mageed, M. - Latest News from the UBC-NLP Lab. 7th International Symposium, Bringing AI to the Archives. Denver, CO. October 25, 2024.

Arias-Hernandez, R. - AI Competencies for the Archival Professions. 7th International Symposium, Bringing AI to the Archives. Denver, CO. October 25, 2024.