2 citations · 3 across the 2 of their papers we have counts for
3 papers
Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts
Hao-Ping Lee, Yu-Ju Yang, Matthew Bilik +7
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 withou…
ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs
Hua Shen, Tiffany Knearem, Reshmi Ghosh +4
As AI systems become more advanced, ensuring their alignment with a diverse range of individuals and societal values becomes increasingly critical. But how can we capture fundament…
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks
Hao-Ping Lee, Yu-Ju Yang, Thomas Serban von Davier +2
Privacy is a key principle for developing ethical AI technologies, but how does including AI technologies in products and services change privacy risks? We constructed a taxonomy o…