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GenAI for HR: Screening & Fairness

Amazon built a CV screener that taught itself to penalise the word 'women's'. Gender was never an input. How does that happen — and what does it mean for the tool you're about to use?

Beginner9 min4 concepts · 3 questions · 2 cardsFree

Where AI helps, and where it's a lawsuit

HR runs on text. CVs, job descriptions, interview notes, policies, performance reviews, exit interviews. Text is exactly what these models are good at, so the opportunity is real — and it comes with the tightest constraints of any role in this track, because HR decisions are legally protected and life-affecting.

The useful division isn't "AI good / AI bad." It's who does the deciding.

Genuinely good uses

Genuinely dangerous


The line, in one sentence:

AI drafts and summarises. Humans decide about humans.

And notice why. Not because a model can't produce a candidate ranking — it will produce one instantly, and it will look thorough, and it will have reasons.

That's the problem.

That's the first of 9 blocks. The rest is where it sticks.

Reading is the easy half. The questions and cards ahead put this idea into your own recall — and then bring it back on schedule until you keep it.

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No account needed. Your progress saves from the first block.

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