What Explainability Actually Requires in Public-Sector AI

Explainability is often treated as a single checkbox, but in practice it means different things depending on who needs the explanation and why. A regulator auditing a system, a citizen affected by a decision, and an engineer debugging a model all need different kinds of explanation.

Our research proposes a tiered approach, calibrated to decision stakes.