Summary
Lai-tze Fan is a Canada-based scholar and technology ethicist with nine years of experience bridging critical AI research, design, and public-facing technological literacy. As Canada Research Chair in Technology and Social Change and Co-Director of the TRuST Scholarly Network at University of Waterloo, she leads interdisciplinary work on fairness in computational systems, from generative AI and gendered interfaces to responsible dataset and facial recognition design. Her practice-oriented expertise spans UX/UI, XR, digital storytelling, and the automation of labour, informed by feminist technoscience and media-technology history. She directs the U&AI Lab and contributes to global science-policy conversations via the ISC roster, bringing both academic rigor and hands-on design sensibilities to questions of misinformation, creativity, and public trust in AI. An understudied but telling thread in her profile is the combination of experimental media arts and rigorous STS methods, which shapes her distinctive approach to making AI systems legible and accountable to diverse publics.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Communication and Culture, Doctor of Philosophy - PhD, Communication and Culture at York University