What's Privacy Good for? Measuring Privacy as a Shield from Harms due to AI Inference of Personal Data
Sri Harsha Gajavalli, Junichi Koizumi, Rakibul Hasan
2026年份
2被引次数
摘要
We propose a harm-centric conceptualization of privacy and operationalize it in the context of using artificial intelligence (AI) in education and employment. In an online study (N=400), US college and university students reported their perceptions of 14 harms (e.g., manipulation) when AI infers personal data (e.g., demographics and personality traits) and use it in decision-making.
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