What Do AI Hiring Terms Actually Mean? A Glossary for Talent Acquisition Leaders
You shouldn't need an engineering degree to evaluate hiring AI.
But right now, that’s what it feels like. Vendors are using terms inconsistently. Glossaries that are written for developers are not written for you as a hiring professional. And the pressure to have an informed opinion on all of it, while also filling open roles, is real.
We wrote something different.
This glossary covers twelve terms that come up constantly in AI hiring conversations. You'll learn:
- What they mean
- Why they matter to your team
- What to look for when a vendor puts a demo in front of you.
You’ll walk away knowing the difference between a tool that uses RAG to work with your actual candidates and one that’s running on generic AI knowledge. You’ll know what an audit trail is, why it matters for compliance, and what questions to ask before your organization takes on risk it doesn’t know it’s taking on.
It’s written for hiring leaders, not engineers. No jargon. No prerequisites.
Hireology is hiring software built for healthcare, hospitality, and retail automotive. We work with thousands of employers and track hiring data across millions of applicants. When we write about hiring AI, it comes from what we’re seeing on the ground, not from the sidelines.
