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.
Course › Paths › For compliance, legal and HR leadership
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.
| Lesson | Title | Why it is on this path |
|---|---|---|
| M1 L2 | The AI recruiting stack: seven layers | The seven layers — what is actually in your stack |
| M1 L3 | Where AI fails: invention, proxy bias, over-filtering | The five failure modes, including the invisible one |
| M4 L1 | How resume parsing actually works | How parsing works, and where it breaks |
| M4 L2 | Why field accuracy decides everything downstream | When a technical defect becomes a fairness problem |
| M4 L3 | Setting screening criteria that do not over-filter | Filters versus signals, and what never to filter on |
| M5 L1 | Keyword match vs semantic match vs learned ranking | Learned ranking and what it inherits |
| M5 L4 | Explainability: why did this candidate rank third? | What a defensible explanation contains |
| M7 L3 | Async and AI interviews: when they help, when they hurt | AI video: the highest-risk feature in the stack |
| M9 L2 | Writing an AI recruiting agent brief | Agent limits, and prompt injection via resumes |
| M11 L1 | The regulatory map: EU AI Act, NYC LL-144, GDPR, DPDP | The regulatory map |
| M11 L2 | Running a bias audit in practice | Running a bias audit |
| M11 L4 | Data retention and candidate rights | Retention, rights and where data hides |
| M11 L5 | The documentation your legal team will ask for | The documentation you will be asked for |
| M11 L6 | Lab 10: complete an AI hiring risk register | Build the risk register |
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.