InterPARES Trust AI, led by the University of British Columbia
Project summary
InterPARES Trust AI 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:
- Identify specific AI technologies that can address critical records and archives challenges;
- Determine the benefits and risks of using AI technologies on records and archives;
- Ensure that archival concepts and principles inform the development of responsible AI; and
- Validate outcomes from Objective 3 through case studies and demonstrations.
Project dates
2021 – 2026
Partnerships
More than 60 partnerships. See the full list by clicking here: https://interparestrustai.org/trust/aboutus/partners
Dr. Luciana Duranti and Dr. Muhammad Abdul-Mageed are the co-Directors of this new SSHRC Partnership Grant, ‘Archives 4.0: Artificial Intelligence for Trust in Records and Archives’.
Funding
InterPARES
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