3min chapter

AXRP - the AI X-risk Research Podcast cover image

21 - Interpretability for Engineers with Stephen Casper

AXRP - the AI X-risk Research Podcast

CHAPTER

The Importance of Interpretability in Engineering Applications

Many people will emphasize the usefulness of interpretability for just kind of making this basic discoveries about networks, understanding them more at a fundamental level. But engineers in the real world benefit from theoretical work or exploratory work all the time as well, even if it's indirect. I think that the lion's share of interpretability research in the AI safety space is kind of focused on basic understanding as opposed to the engineering applications. So I think it's kind of useful to pull closer toward the middle.

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