Latest News

Dr. Peter Lewis featured as an expert speaker on Lancaster House webinar
Trustworthy AI Lab Director and Canada Research Chair Dr. Peter Lewis was featured as an expert speaker on a recent webinar by Lancaster House, on the impact of AI on work and labour relations.
Feb 20, 2024 1 min read
Dr. Peter Lewis featured as an expert speaker on Lancaster House webinar
Trustworthy AI Lab researchers publish two new articles in the latest issue of Technology and Society Magazine.
Trustworthy AI Lab researchers, along with international collaborators, have published two articles in the latest issue of IEEE Technology and Society Magazine. The first, Human Centricity in the Relationship Between Explainability and Trust in AI, with Zahra Atf, discusses reasons why explainable AI does not always lead to increases in trust, and sometimes actually the reverse.
Jan 31, 2024 1 min read
Trustworthy AI Lab researchers publish two new articles in the latest issue of Technology and Society Magazine.
Trustworthy AI Lab Welcomes New Postdoctoral Researchers working on Accessible Explainable AI

We are delighted to welcome Dr. Chukwunonso Nwokoye and Dr. Joelma Peixoto to the Trustworthy AI Lab team. Both join us as postdoctoral research fellows, working on accessible explainable AI for people with disabilities, in partnership with CNIB.

Jan 31, 2024 1 min read
Trustworthy AI Lab Welcomes New Postdoctoral Researchers working on Accessible Explainable AI
Dr. Peter Lewis and Dr. Theresa Stotesbury give invited talks as part of the Canadian Society for Forensic Science's Webinar Series
Dr. Peter Lewis, Trustworthy AI Lab Director and Canada Research Chair, and Dr. Theresa Stotesbury, Assistant Professor in Forensic Science and head of the Forensic Chemistry and Materials Lab also at Ontario Tech, delivered a joint webinar at the Bloodstain Pattern Analysis Section of the Canadian Society for Forensic Science.
Jan 3, 2024 1 min read
Dr. Peter Lewis and Dr. Theresa Stotesbury give invited talks as part of the Canadian Society for Forensic Science's Webinar Series
Farewell Aishwaryaprajna
A bitter-sweet announcement from us at the Trustworthy AI Lab, we bid farewell to a cherished member of our team, Aishwaryaprajna. As Aish’s time with us comes to an end, we wanted to take a moment to express our gratitude and wish her all the best in her exciting new role as a faculty member at the University of Exeter.
Nov 23, 2023 2 min read
Farewell Aishwaryaprajna
New postdoctoral research position available
We are recruiting for a postdoctoral research fellow in the area of accessible explainable AI for people with vision loss. We would welcome and encourage applicants with lived experience of vision loss.
Nov 7, 2023 1 min read
Trustworthy AI Lab and the 5th Annual Women in STEM Summit
On October 11th Peter R. Lewis, Zahra Ahmadi, and Parisa Salmani led the Bias and Fairness in Algorithms Breakout Session at the Women in STEM Summit. The Summit’s focus was on allyship and disrupting bias, and empowering the next generation of women leaders by celebrating the successes of those who came before.
Oct 18, 2023 1 min read
Trustworthy AI Lab and the 5th Annual Women in STEM Summit
Dr. Peter Lewis gives invited keynote talk at Toronto Public Library Digital Expo
Trustworthy AI Lab Director and Canada Research Chair Dr. Peter Lewis gave an invited keynote talk at the 2023 Toronto Public Library Digital Expo. The talk, held at the new exhibition venue at the North York library, explored aspects of trust and trustworthiness in the face of recently-developed AI-based tools such as ChatGPT and Midjourney, highlighting impressive results as well as some surprising causes for concern.
Sep 30, 2023 1 min read
Dr. Peter Lewis gives invited keynote talk at Toronto Public Library Digital Expo
Dr. Peter Lewis wins new federal funding to develop 'socially reflective AI'

With new federal funding from the Natural Sciences and Engineering Research Council of Canada, Dr. Peter Lewis and researchers at the Trustworthy AI Lab are embarking on a new 5-year program of research to develop a new generation of socially reflective intelligent machines.

As Artificial Intelligence (AI), Machine Learning (ML), and other forms of machine intelligence are increasingly integrated into society, this new research program aims to discover how to build more socially sensitive AI technology. We will do this by augmenting AI systems such as robots, virtual assistants, smart devices, and other agents with the ability to reflect. Here, this reflection includes learning and reasoning using self-models that include social factors, including context, trustworthiness, norms, network structure, and likely outcomes of actions. The latter, and the focus of this research program, requires internal simulations of the social systems of which the AI system is part. The impact of this will be intelligent socio-technical systems able to act collectively to intentionally create more sustainable, equitable, and efficient outcomes in shared environments. We plan to demonstrate this impact using simulation models of global sustainability challenges that include AI-­based decision making, plus a case study on AI-supported community building for food security in Toronto.

This is part of a large investment of Canadian federal funding across research projects at Ontario Tech Univeristy. Read more at the Ontario Tech news site.

Sep 28, 2023 2 min read
Trustworthy AI Lab student attends Social Simulation Summer School and Conference
At the end of August, our Doctoral Student Nathan Lloyd attended the European Social Simulation Association Summer School in Social Simulation 2023 at the James Hutton Institute’s campus in Aberdeen, Scotland.
Sep 11, 2023 1 min read
Trustworthy AI Lab student attends Social Simulation Summer School and Conference