AXRP - the AI X-risk Research Podcast cover image

23 - Mechanistic Anomaly Detection with Mark Xu

AXRP - the AI X-risk Research Podcast

CHAPTER

The Impossibility of Being Adversarily Robust in AI

In the AI realm, when I hear that something is vulnerable to adversaries, I'm really worried because I'm like, well, what if my AI is an adversary? So do you think that this worry applies in the heuristic arguments case? Yeah. It's basically impossible to be adversarially robust. For any quantity with sufficient noise, even if you expect very strongly the noise to average out to zero, there will exist a heuristic argument that only points out the positive values of the noise and drive you down. And so I think this is naively quite a big problem forlike the entire heuristic argument paradigm.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner