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For compliance, legal and HR leadership

14 lessons  ·  About 2.5 hours

You are accountable for AI in hiring without operating it day to day. You need to know what the tools do, what can go wrong, and what to ask for.

Skips the hands-on sourcing and outreach craft, which you are not the one performing.

Start here Templates

LessonTitleWhy it is on this path
M1 L2The AI recruiting stack: seven layersThe seven layers — what is actually in your stack
M1 L3Where AI fails: invention, proxy bias, over-filteringThe five failure modes, including the invisible one
M4 L1How resume parsing actually worksHow parsing works, and where it breaks
M4 L2Why field accuracy decides everything downstreamWhen a technical defect becomes a fairness problem
M4 L3Setting screening criteria that do not over-filterFilters versus signals, and what never to filter on
M5 L1Keyword match vs semantic match vs learned rankingLearned ranking and what it inherits
M5 L4Explainability: why did this candidate rank third?What a defensible explanation contains
M7 L3Async and AI interviews: when they help, when they hurtAI video: the highest-risk feature in the stack
M9 L2Writing an AI recruiting agent briefAgent limits, and prompt injection via resumes
M11 L1The regulatory map: EU AI Act, NYC LL-144, GDPR, DPDPThe regulatory map
M11 L2Running a bias audit in practiceRunning a bias audit
M11 L4Data retention and candidate rightsRetention, rights and where data hides
M11 L5The documentation your legal team will ask forThe documentation you will be asked for
M11 L6Lab 10: complete an AI hiring risk registerBuild the risk register

If you read one thing

Start with Module 11, Lesson 1 if you only read one thing — then come back to Module 4, Lesson 2, because parse quality is the exposure nobody has on their register.

This is a subset, not a different course. The full curriculum has all 73 lessons, and nothing here is abridged — these are the same lessons, selected.