Strategic Brief
Human-Centered AI Output Contracts and Decision Trace Design
A design annex for decision outputs that humans can inspect, challenge, and improve.
Abstract
This companion brief translates human-verifiable decision systems into a practical design surface: structured outputs, trace IDs, reason codes, confidence fields, evidence references, invalidation paths, action state, and review notes.
Design Purpose
The goal is to make AI recommendations legible enough to review and stable enough to improve. A good output contract gives engineers a schema, leaders an audit story, and operators a clear way to understand what the system believes, why it believes it, and what should happen next.