Critical Tech Talk 3: AI five ways — May 16

[Wendy Philpott]

Please join the third event in the Critical Tech Talk<https://uwaterloo.ca/arts/about/critical-tech-talk> series of honest talks about innovation. This hybrid event features five experts in artificial intelligence (AI) from different professional and disciplinary backgrounds.

As AI grows more prevalent every day, even to the point of making life-and-death decisions for humans, principles of responsible AI must be implemented to ensure safety, dignity, privacy, and autonomy for all. In this roundtable discussion, hear from five experts on their approaches to the field and perspectives on the future of responsible AI.

Monday, May 16, 2022, 7:00 to 9:00 p.m. | Please register to attend in-person or online<https://www.eventbrite.ca/e/critical-tech-talk-3-ai-five-ways-tickets-304955348657>

About the speakers:

Hessie Jones is a Privacy Technologist, Venture Partner, Strategist, Tech Journalist and Author. She is currently a Venture Partner at MATR Ventures and COO, Beacon, a social enterprise start-up focusing on privacy solutions. She has 20 years of experience in start-up tech: data targeting, profile and behavioural analytics, AI tech and more recently data privacy and security.

Reza Bosagh Zadeh is founder and CEO at Matroid and an Adjunct Professor at Stanford. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics.

Kem-Laurin Lubin is a Ph.D. Candidate in English Language and Literature at the University of Waterloo, where she focuses on AI models used in apps deployed in digital citizen management, specifically judiciary, healthcare, and education-based apps.

Patricia Thaine is a Computer Science PhD Candidate at the University of Toronto and a Postgraduate Affiliate at the Vector Institute doing research on privacy-preserving natural language processing, with a focus on applied cryptography.

Ben Armstrong is a Ph.D. Candidate in Computer Science at the University of Waterloo where he is affiliated with the Artificial Intelligence Group. His research combines machine learning and social choice.


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