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

RA03 Report on the Survey “Digitization and Artificial Intelligence for Archives and Documentary Heritage Materials”. Jessica Bushey, Marina De Souza, Kailey Fukushima, David Iglésias, Marta Riess, Eng Sengsavang, Hrvoje Stancic, Zeljko Trbusic. 27 May 2025.

Lemieux, V. - InterPARES Trust AI, Plenary 13. Update on CLIO-X. February 18, 2025. Virtual.

Mughaz, D.|Tractinsky, A.|Shenkolewski-Kroll, S. - InterPARES Trust AI. Plenary 13. Text Anonymization in LLMs: Key Issues and Initial Recommendations. February 18, 2025. Virtual.

Arias-Hernandez, R.|Rockembach, M. - "Building trustworthy AI solutions: integrating artifcial intelligence literacy into records management and archival systems". February 5, 2025. AI and Society. Springer-Verlag London Ltd., part of Springer Nature 2025.

The Archival Technologies Lab - Artificial Intelligence, Warfare, and Evidence in International Contexts. Reading Group. January-May, 2025. CUNY Archival Technologies Lab.

3rd InterPARES Summer School. Call for Applications. San Benedetto del Tronto, Italy. June 23-28, 2025.

3rd InterPARES Summer School. Program and Faculty Bios. San Benedetto del Tronto, Italy. June 23-28, 2025.

Bushey, J. - "Envisioning Archival Images with Artificial Intelligence", Archeion v.125 (2024): pp. 33-54.

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.