PEPR 26 - CA-CI: A Normative Framework for Evaluating Privacy and Dignity in AI Governance @UsenixOrg
PEPR 26 - CA-CI: A Normative Framework for Evaluating Privacy and Dignity in AI Governance  @UsenixOrg
Uploaded June 2026 | Updated September 2026, 3 weeks ago
CA-CI: A Normative Framework for Evaluating Privacy and Dignity in AI Governance

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.

View the full PEPR '26 program at usenix.org/conference/pepr26/program
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PEPR '26 - CA-CI: A Normative Framework for Evaluating Privacy and Dignity in AI Governance

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