Date
On Data Privacy Day 2025, Dr. Sauvik Das, an Assistant Professor at Carnegie Mellon University's Human-Computer Interaction Institute and director of the SPUD (Security, Privacy, Usability and Design) Lab, will deliver a keynote presentation exploring privacy in the age of Artificial Intelligence.
Privacy is a core tenet for engineering ethical AI products, but does AI change privacy risk? If so, what barriers do practitioners face in their privacy work for AI products? And, finally, what are ways we might address these barriers? Without an answer to these questions, we cannot hope to better support practitioners in engineering privacy-respecting AI products.
To begin answering these questions, Dr. Das will first present a taxonomy of AI privacy risk that codifies how the unique capabilities and requirements of AI technologies create new privacy risks (e.g., deepfake pornography, physiognomic classifiers) and exacerbate known ones (e.g., surveillance, aggregation). He will then share the results of an interview study with 35 industry practitioners working on AI products who were asked to discuss how they approach privacy for AI products. Finally, Dr. Das will present emerging work on "Privacy through Design" that explores turnkey design methods and tools to help practitioners foreground and mitigate privacy risks in their AI design concepts.
Following the presentation, Dr. Florian Schaub, Associate Professor of Information, Associate Professor of Electrical Engineering and Computer Science, and Adjunct Professor of Law at the University of Michigan, will host a fireside chat and Q&A session.
How to Attend
Speakers
Assistant Professor, Carnegie Mellon University
Keynote Presenter
Dr. Sauvik Das is an Assistant Professor at Carnegie Mellon University's Human-Computer Interaction Institute and directs the SPUD (Security, Privacy, Usability and Design) Lab. The lab’s work, at the intersection of HCI, AI and cybersecurity, is oriented around answering the question: How can we design systems that empower people with improved agency over their personal data and experiences online? Current interests include:
- Social cybersecurity: creating cybersecurity and privacy systems that have a better understanding of human social behavior;
- Human-centered adversarial machine learning: designing human-centered AI systems that subvert algorithmic surveillance;
- Privacy through Design: developing new design processes that foreground consideration of privacy;
- Corporeal cybersecurity: creating tangible / corporeal cybersecurity and privacy interfaces; and,
- Privacy for the People: designing an end-to-end system to facilitate grassroots privacy collective action.
Prior to joining CMU, Sauvik Das was an assistant professor of Interactive Computing at Georgia Tech.
A few of his papers have been recognized with awards: a best paper at UbiComp (2013), a distinguished paper at SOUPS (2020), three best paper honorable mentions at CHI (2016, 2017, 2020), a best paper honorable mention at CSCW (2021), and an honorable mention for the NSA's Best Scientific Cybersecurity Paper (2014). His lab's work has been generously supported by the NSF and Facebook. His work has also been covered by the popular press, including features in The Atlantic, The Financial Times, and Dark Reading.
Associate Professor of Information, School of Information, Associate Professor of Electrical Engineering and Computer Science, College of Engineering and Adjunct Professor of Law, Law School
Host and Moderator
Dr. Florian Schaub is an Associate Professor of Information, Associate Professor of Electrical Engineering and Computer Science, and Adjunct Professor of Law at the University of Michigan. His interdisciplinary research combines privacy, human-computer interaction, emerging technologies, and public policy. He studies people's privacy decision making and behavior, investigates technology-related privacy implications, and develops human-centric privacy solutions that help people better manage their privacy in technology contexts.