01
Start from the job, not the model
Define the role, the competencies that predict success, and the observable behaviors that demonstrate those competencies. Only then generate questions and rubrics. AI should accelerate structured design-not invent traits that cannot be defended. If you cannot explain why a competency matters for the job, you are not ready to score it with a model.
- Write a clear role definition and success criteria before tooling choices
- Map competencies to observable workplace behaviors
- Reject undefendable labels (e.g., inherent loyalty, facial “personality”)
- Document who approved the competency model and when
02
Use behaviorally anchored rubrics
Score responses against predefined anchors (what a 5 looks like vs a 1) rather than a generic model opinion. Freeze assessment versions so comparable candidates receive equivalent experiences. Rubrics are the validation backbone: they turn “AI scoring” into “scoring against a human-approved standard.”
- Define anchors with concrete behaviors, actions, and outcomes
- Train reviewers on the same anchors the model is supposed to use
- Freeze question sets and rubrics for each hiring wave
- Log versions so you can reconstruct what a candidate experienced
03
Keep humans in the loop
Automated scores should inform reviewers. Provide evidence excerpts, confidence, integrity observations, and override notes. Avoid systems that silently finalize employment decisions. Human control is both an ethical requirement and a practical validation control-reviewer disagreement is a signal about rubric quality.
- Require human review before adverse employment actions
- Capture override rationale in the decision record
- Monitor disagreement rates between model and reviewers
- Use suggested follow-ups when evidence is thin or contradictory
04
Monitor outcomes
Track adverse impact, accommodation requests, and reviewer disagreement. Version questions, rubrics, and models so you can explain what a candidate experienced on a given date. Validation is not a one-time PDF; it is an operating cadence.
- Versioned questions and rubrics
- Model-version logs
- Candidate notice and consent where required
- Exportable audit reports
- Periodic adverse-impact and outcome reviews by role family