Latest News

New NFRF-funded project sees Trustworthy AI Lab collaborate with forensic scientists

Thanks to a grant from the New Frontiers in Research Fund (NFRF) Exploration Stream, Trustworthy AI Lab researchers will be collaborating with Dr. Theresa Stotesbury, forensic scientist in the Faculty of Science to improve reliability of bloodstain analyses at crime scenes. This important new project will apply unsupervised machine learning techniques to establish a new data-driven taxonomy for the causes of bloodstains. Of particular relevance to Canada is to explore and model how bloodstains are conserved as the environment varies, for example in extreme temperatures and on snowy and icy surfaces.

Read more at the Ontario Tech news site.

New NFRF-funded project sees Trustworthy AI Lab collaborate with forensic scientists
Welcoming Parisa Salmani to the Trustworthy AI Lab

We are delighted to welcome Parisa Salmani to the Trustworthy AI Lab. Parisa is a Masters student in Computer Science, and is exploring bias and fairness in transfer learning.

Trustworthy AI Lab researchers attend CNIB research retreat

As part of our ongoing collaboration with the Canadian National Institute for the Blind, researchers from Ontario Tech’s Trustworthy AI lab and Human-Machine lab attended an annual research retreat at CNIB’s Lake Joe camp.

There are significant opportunities in the use of AI for assistive technology, and important questions to ask around accessibility in AI technology. Our strategic partnership means that we have the ability to tackle these challenges together, as well as provide experiential learning opportunities to graduate students and postdoctoral fellows.

Trustworthy AI Lab researchers attend CNIB research retreat
Trustworthy AI Lab Director writes Hill Times Op-Ed

Director of Ontario Tech’s Trustworthy AI Lab, Canada Research Chair in Trustworthy AI Dr. Peter Lewis, wrote an invited op-ed for Canadian political newspaper, The Hill Times. The piece discussed whether AI research is hitting a plateau (in Canada, and more generally). If you don’t have a subscription to be able to read the original, there is a free, slightly longer form version that can be read on Pete’s blog.