CryptoDB
Betty Li Hou
Publications and invited talks
Year
Venue
Title
2025
RWC
How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent
Abstract
We raise concerns for end-to-end encryption (E2EE) security in light of the
remarkable recent advances and explosion of interest in large language
models and generative artificial intelligence (AI). Apple has already
announced an initiative to feed E2EE messages into AI systems, and other
major platforms may be considering similar efforts.
Combining expertise across cryptography, AI, and law, we (1) examine a wide
range of technical configurations that could fall under the broad umbrella
of “feeding E2EE content to AI models,” taking into consideration the state
of the art in cryptography, privacy technologies, and AI/ML, (2) assess
these configurations’ technical compatibility with E2EE; (3) overview
potentially relevant areas of law, and provide a detailed analysis of the
circumstances under which E2EE service providers are likely to be able to
offer AI features which use E2EE content; and (4) offer four key
recommendations, which amount to a framework for how to think about
offering AI features in E2EE systems.
Coauthors
- Kyunghyun Cho (1)
- Sam de Alfaro (1)
- Andres Fabrega (1)
- Daniella Ferrari (1)
- Betty Li Hou (1)
- Mallory Knodel (1)
- Jacob Leiken (1)
- Sunoo Park (1)
- Derek Yen (1)