{"ID":2864884,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.23525","arxiv_id":"2509.23525","title":"Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts","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.","short_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) pro...","url_abs":"https://arxiv.org/abs/2509.23525","url_pdf":"https://arxiv.org/pdf/2509.23525v2","authors":"[\"Hao-Ping Lee\",\"Yu-Ju Yang\",\"Matthew Bilik\",\"Isadora Krsek\",\"Thomas Serban von Davier\",\"Kyzyl Monteiro\",\"Jason Lin\",\"Shivani Agarwal\",\"Jodi Forlizzi\",\"Sauvik Das\"]","published":"2025-09-27T23:08:24Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.AI\"]","methods":"[\"Large Language Model\"]","has_code":false}
