The Privacy Layer of Personal Intelligence with Ken Liu | AM Podcast #4

Ken Liu is a Stanford CS PhD student and founder of The Open Anonymity Project. Ken’s pioneering work explores the intersection between language models and data & user privacy.

Outline:

0:00 - Teaser

1:08 - Prelude: Introducing Ken Liu

1:41 - Monologue: The Open Anonymity Project

3:41 - Ken’s Path to Privacy Research

6:31 - The Biggest Privacy Concern for LLM Users

9:39 - Three Perspectives on Tackling AI Privacy

10:57 - “AI presents a Uniquely Worse Privacy Problem”

13:44 - The Open Anonymity (OA) Project: Unlinkable Inference

17:50 - Blind Signatures as Unlinkable Authentication

20:52 - Secure Inference Proxies

28:31 - Threat Model in the OA Project

31:39 - What If People Give Away Information In Their Prompts

35:58 - OpenClaw, Privacy Nightmare In Agents

43:00 - The Stories Behind the OA Project

50:14 - Intelligence Neutrality

52:22 - Safety Concerns in a World with Private AI Inference

References:

Ken Liu’s Home Page: https://ai.stanford.edu/~kzliu/

The Open Anonymity Project: https://openanonymity.ai/

Unlinkable Inference as a User Privacy Architecture: https://openanonymity.ai/blog/unlinkable-inference/

Podcast Links:

Podcast website: https://augmented-mind.github.io/

Apple Podcasts: https://podcasts.apple.com/us/podcast/augmented-mind-podcast/id186810217Spotify: https://open.spotify.com/show/40KculkYTe2tOpqJm6TAYr?si=PU_UncsMT4mXjVNCRwoXog&nd=1&dlsi=6d9bed7a43d6408RSS: https://anchor.fm/s/10dbf5b7c/podcast/rss

About the Hosts:

The AM Podcast is hosted by Yijia Shao, Shannon Shen, and Michael Ryan, CS PhD students at Stanford University and MIT.