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.

This week, the Trustworthy AI Lab traveled to Waterloo for the Artificial Life Conference.
Kicking off the week, Stavros and Nathan co-organized the 3rd ALife in Organizations Workshop, there Peter gave an invited talk Reimagining Digital Public Spaces and Artificial Intelligence for Deep Cooperation.

This week, Talia, Nathan and Peter attended the first SOCiALS Workshop.
The SOCiALS workshops explore questions of self-governance, collective intelligence, and sustainability of social structures through an algorithmic perspective toward organizational design. This includes the study of electronic institutions, the self-organizing processes behind well-functioning hybrid societies, and the emergence of social order and organizations using computational principles. The contributions go beyond the models of such systems; they target the development of an understanding of the fundamental information and information processing that underpins these social structures.
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.