AI you can't account for is a liability.
Five pillars cataloged how AI goes wrong — it predicts, invents, leaks, gets blindly trusted, and costs more than the sticker. This final pillar is about the aftermath: when a decision turns out wrong, can you reconstruct what the system did, explain why, and prove who was responsible? That's accountability, and it rests on three properties — reproducibility, explainability, traceability. It's what makes the other five survivable, and increasingly it's the law.
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