Florian Schaub, University of Michigan
This talk introduces Capabilities Approach-Contextual Integrity (CA-CI), a normative framework that extends Contextual Integrity's theory of privacy to meet contemporary AI governance challenges by (1) making purpose an explicit governance parameter and (2) specifying minimum thresholds for dignity as a second normative standard, drawn from philosopher Martha Nussbaum's Capabilities Approach (CA). Drawing on the speaker's research on AI privacy perceptions and privacy theory development, the talk will apply CA-CI to AI scenarios and show how privacy practitioners can incorporate its criteria into impact assessments, risk registers, and approval workflows, even as AI capabilities, regulations, and social norms evolve.
Dr. Florian Schaub is associate professor of Information and of Electrical Engineering and Computer Science 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. Dr. Schaub holds a PhD in Computer Science from the University of Ulm, and was a postdoctoral fellow in Carnegie Mellon University's School of Computer Science. His research has been honored with the 2019 Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies, and with best paper awards at leading cybersecurity and human-computer interaction conferences, including at the ACM SIGCHI Conference on Human Factors in Computing (CHI), the USENIX Security Symposium, the ACM Conference on Computer and Communications Security (CCS), and the Symposium on Usable Privacy and Security (SOUPS). Dr. Schaub is an ACM Distinguished Member and a DARPA Young Faculty Award recipient. His research has directly impacted industry practice and public policy, including the rulemaking process for the California Consumer Privacy Act (CCPA).
author = {Florian Schaub},
title = {{CA-CI}: A Normative Framework for Evaluating Privacy and Dignity in {AI} Governance},
year = {2026},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = jun
}
