The Architecture Behind AI Assessment that Earns Trust

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In addition to the session slides, please find the following resources attached:

01 — Criteria Before & After Card
A side-by-side comparison of a human-dependent criterion vs. an AI-ready one, with the four structural properties that make the difference and a quick audit checklist you can run against your own criteria.

02 — Governance Self-Assessment
Three questions to answer before you deploy AI in any expert-augmentation context — with the implication of each answer spelled out so you can identify your gaps and know exactly where to start.

03 — Criteria Architecture Checklist
A 12-item printable checklist for auditing whether any evaluation criterion is ready for AI deployment, organized by the type of failure each gap produces.

04 — Drift Detection Monitoring Template
A fill-in planning document for building an operational AI monitoring habit — covering the three drift signals to watch, how to set variance thresholds before you need them, and how to name accountability that won't disappear.