Patricia Thaine

Private AI

Building Customer Trust in the Generative AI Era

As one of the hottest technological advancements of the moment, ChatGPT has gained both attention and criticism for its privacy implications. This session explores the ethical challenges posed by generative AI and outlines strategies to establish trust in this evolving landscape. Covering topics such as privacy, bias,
and GDPR compliance, attendees will gain practical insights to navigate the ethical complexities of the generative AI era and contribute to building a trustworthy AI future.

Patricia Thaine is the Co-Founder & CEO of Private AI, a Series A Microsoft & BDC backed startup. She is a Computer Science PhD Candidate at the University of Toronto (on leave) and a Vector Institute alumna. Her R&D work is focused on privacy-preserving NLP, with a focus on applied cryptography and re-identification risk. Patricia is a recipient of the NSERC Postgraduate Scholarship, the RBC Graduate Fellowship, and the Ontario Graduate Scholarship. She is the co-inventor of one U.S. patent and has 10 years of research and software development experience, including at the McGill Language Development Lab, the University of Toronto’s Computational Linguistics Lab and Department of Linguistics, and the Public Health Agency of Canada.

Patricia Thaine

Private AI

Building Customer Trust in the Generative AI Era

About Patricia Thaine