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.
As more people and organizations turn to artificial intelligence (AI) for ideas and answers, it is essential to question whther the information AI provides is reliable and accurate.
In this interview, Peter answers questions on trust, uncertainty, and self-awareness, describing some of the ongoing projects we have in our lab, and ultimately cautioning people to be `rational skeptics’; to take advantage of AI but to not be naïve to its challenges and downsides.
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.