Method notes on AI in HR
Written for HR leaders and recruiting teams: what the technology actually does, where it fails, how to pilot it responsibly, and what the law expects. No vendor hype; sources cited; updated when the facts change.
How AI resume parsing works — and where it fails
What a resume parser actually extracts, the five ways it goes wrong, and why a reviewed structured profile beats a raw score.
Read the noteStructured interview evaluation: a rubric you can run this week
A practical five-criterion rubric, how to calibrate interviewers, and how an AI agent can prepare evaluations without making them.
Read the noteScoping a six-week recruiting automation pilot
How to define inputs, deliverable and acceptance criteria for an AI recruiting pilot — and the measurements that tell you whether to expand.
Read the noteAI in hiring: a 2026 compliance checklist for US employers
What New York City, Illinois, Colorado, California, the EEOC and the EU AI Act expect of employers using AI in hiring, and how to document it. Not legal advice.
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