Dr. Peter Lewis

Canada Research Chair in Trustworthy Artificial Intelligence
Director, Mindful Artificial Intelligence Research Institute
Director, Trustworthy Artificial Intelligence Lab
Associate Professor and Associate Dean, Research and Graduate Studies, Faculty of Business and Information Technology

Dr. Peter Lewis’ research focuses on how to make the relationship between AI and society work better. He explores the complex mix of technical and social challenges that arise from embedding AI in society, including questions around its responsible use and trustworthiness, and how to create intelligent machines that people find justifiably worthy of their trust.

His scholarship spans:

• Trust, self-awareness and reflection: How to build AI systems that can self-reflect and communicate their limits to users.
• Socio-technical systems: How AI systems behave when they’re part of larger human and social networks, and how design choices affect social outcomes.
• Bias and fairness: Understanding what type of bias may be present in an AI model, whether that bias is fair, and what fairness means in different contexts.
• Applied trustworthy AI: Translating theory into prototypes and evaluations informed by real use cases in health care and other areas.

Learn more:

• New research institute asserts Ontario Tech’s international leadership in responsible AI innovation
• Can we trust generative AI to know and tell us when it doesn’t know the answer?
• Ontario Tech University researchers establish new partnership with CNIB to develop explainable artificial intelligence (XAI) accessibility standards
• Leading experts in adaptive aerodynamics, and trustworthiness in artificial intelligence join Ontario Tech’s research team