Secure Traceable Digital Datasets for Research and AI

This project makes it possible for Canadian researchers to share secure and traceable datasets between large computing systems in Canada. These traceable datasets can be used to further reproducible science by allowing everyone in the scientific community to know where the dataset used for experiments is from and that it has not been altered. Traceable datasets are also very useful for understanding the data used to train AI models and knowing that the data used was used with permission and appropriate copyrights. This project will allow Canadian researchers to train AI models with known good datasets that do not infringe on others’ copyrights, making their adoption and use much easier for individuals, businesses, and government through accountable AI training datasets.

Faculty Supervisor:

Ryan E. Grant

Student:

Partner:

MyLaminin

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Queen's University

Program: