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.

Morten joined us at the start of the semester to collaborate with Andrew Putname and Peter Lewis on problems of fairness in systems requiring run-time verification.
We are sorry to see you reach the end of your visit, and would like to thank you for spending time with us as a visiting researcher. We hope your experience has been both enjoyable and valuable, and we are eager to see where this collaboration runs off to!

This week, Peter delivered a keynote address at the Ottawa Responsible AI Summit (ORAIS).
The Ottawa Responsible AI Hub, established by our very own Somto Mbelu, is committed to bringing stakeholders together to shape policy, advance education and build partnerships that put people at the heart of AI, ensuring it works for the communities it serves.
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.