Who this is for
A recruiting team using AI to rank applicants or filter resumes before a human recruiter reviews them.
Worked example
Resume Screening AI Review Record Example
A high-risk AI review example for hiring teams documenting a resume screening or candidate ranking system before launch.
Signals to check
- The system influences employment access.
- Candidates may not understand how AI is used.
- The model output can create unfair ranking or exclusion effects.
Best tool path
Step-by-step workflow
- Document the intended use, affected people, input data, and human review step.
- Run the classifier using employment and candidate-screening signals.
- Create an evidence checklist for bias review, monitoring, logging, and appeal handling.
- Use the review workflow to define launch gates before publishing the tool.
Useful outputs include a saved classification, an owner, an evidence list, a disclosure draft, and a date for the next review. The useful result is not just a score or file; it is a small record that explains what was checked, what changed, and what should be reviewed next.
Before you start
After the output
Known limitation
The tools are self-assessment aids. A higher-stakes launch still needs internal sign-off and, where appropriate, professional legal review. Keep an editable copy and re-run the workflow when the destination requirement or policy changes.