Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts

AI creates and exacerbates privacy risks, yet practitioners lack effective resources to identify and mitigate these risks. We present Privy, a tool that guides practitioners without privacy expertise through structured privacy impact assessments to: (i) identify relevant risks in novel AI product concepts, and (ii) propose appropriate mitigations. Privy was shaped by a formative study with 11 practitioners, which informed two versions — one LLM-powered, the other template-based. We evaluated these two versions of Privy through a between-subjects, controlled study with 24 separate practitioners, whose assessments were reviewed by 13 independent privacy experts. Results show that Privy helps practitioners produce privacy assessments that experts deemed high quality: practitioners identified relevant risks and proposed appropriate mitigation strategies. These effects were augmented in the LLM-powered version. Practitioners themselves rated Privy as being useful and usable, and their feedback illustrates how it helps overcome long-standing awareness, motivation, and ability barriers in privacy work.

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Publication Details

Published
2026-04-13
DOI
https://doi.org/10.1145/3772318.3791279
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts

Sauvik Das, Yu‐Ju Yang, Thomas Şerban von Davier, Hao-Ping Lee et al.
Ethics and Social Impacts of AI
article

Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts

Sauvik Das, Yu‐Ju Yang, Thomas Şerban von Davier, Hao-Ping Lee, Kyzyl Monteiro, Jodi Forlizzi, Isadora Krsek, Matthew Bilik
article en

Abstract

AI creates and exacerbates privacy risks, yet practitioners lack effective resources to identify and mitigate these risks. We present Privy, a tool that guides practitioners without privacy expertise through structured privacy impact assessments to: (i) identify relevant risks in novel AI product concepts, and (ii) propose appropriate mitigations. Privy was shaped by a formative study with 11 practitioners, which informed two versions — one LLM-powered, the other template-based. We evaluated these two versions of Privy through a between-subjects, controlled study with 24 separate practitioners, whose assessments were reviewed by 13 independent privacy experts. Results show that Privy helps practitioners produce privacy assessments that experts deemed high quality: practitioners identified relevant risks and proposed appropriate mitigation strategies. These effects were augmented in the LLM-powered version. Practitioners themselves rated Privy as being useful and usable, and their feedback illustrates how it helps overcome long-standing awareness, motivation, and ability barriers in privacy work.

University of Illinois Urbana-Champaign (US), University of Washington (US), Carnegie Mellon University (US)
National Science Foundation
Openalex Percentile: Top 100%
Ethics and Social Impacts of AI
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