The Trustworthy Artificial Intelligence Lab, at Ontario Tech University, is the research lab led by Canada Research Chair, Peter Lewis.
We are an interdisciplinary lab in the Faculty of Business and Information Technology, exploring how to make the relationship between AI and society work better.
Embedding AI in society presents a complex mix of technical and social challenges, not the least of which is: as more decisions are delegated to AI systems that we cannot fully verify, understand, or control, when do people trust them?
Our approach is to work towards empowering people to make good trust decisions about intelligent machines of different sorts, in different contexts. How can we conceive of and build intelligent machines that people find justifiably worthy of their trust?
Our work draws on extensive experience in leading AI adoption projects in commercial and non-profit organizations across several sectors, as well as faculty research expertise in artificial intelligence, artificial life, trust, and computational self-awareness.
A major aim is to tackle the challenge of building intelligent machines that are reflective and socially sensitive. By doing this, we aim to build machines with the social intelligence required to act in more trustworthy ways, and the self-awareness to reason about and communicate their own trustworthiness.

Huge congratulations to Ainaz for successfully defending her Master’s Thesis yesterday! (With very minor revisions)
Ainaz’s reserch asked the question of whether we should trust current machine learning based tools for bloodstain pattern analysis (BPA), exploring this interdisciplinary space between computer science and forensic science.

Earlier this month, researchers from Ontario Tech University’s Trustworthy AI Lab travelled to Scotland to participate in the Trusting Intelligent Machines (TIM) workshop, hosted at the University of Stirling.
The event brought together an international community of researchers exploring trust in AI systems on one of the world’s most beautiful university campuses. Together, we shared ideas across disciplines and built relationships that will shape future research.

Huge congratulations to Tess on passing her Doctoral Candidacy exam, yesterday!
Tess’s research on critical AI literacy is exploring how to support pre-service teachers in articulating and enacting their own professional positions toward AI use, empowering teachers to articulate professional values, guide ethical and pedagogical decision-making, and critically examine their understanding of AI in classroom practice.
Work or Study with Us!
We often have opportunities to join us, typically for PhD or MSc research, as a postdoctoral researcher, or as a software developer.
For a list of current opportunities, please visit the Opportunities page.