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The Recruitment AI Handbook

Nine chapters, written to be read in order or dipped into. Total reading time about an hour.

1. What recruitment AI is (and is not)A plain definition of recruitment AI, the four jobs it does today, and the marketing claims to ignore. · 6 min
2. How recruitment AI works, without the jargonEmbeddings, ranking models, language models and agents explained with recruiting examples. · 8 min
3. The seven types of recruitment AISourcing agents, talent search, screening and matching, conversational AI, interview intelligence, scheduling, and writing assistants, with what each replaces. · 9 min
4. Where recruitment AI pays off: use cases by teamConcrete before-and-after scenarios for startups, agencies, high-volume employers, enterprise talent teams and job seekers. · 7 min
5. Benefits and limits: what the evidence supportsWhere recruitment AI demonstrably helps, where it fails, and how to tell the difference in your own numbers. · 7 min
6. Bias, regulation and candidate rightsNYC Local Law 144, the EU AI Act, GDPR automated-decision rules, US EEOC guidance and what they mean for employers and candidates. · 8 min
7. How to evaluate a recruitment AI productTwenty questions to ask a vendor, a four-week pilot design, and the red flags that should end a conversation. · 7 min
8. Implementing recruitment AI: a practical sequenceThe order in which to introduce AI into a recruiting process, what to fix first, and how to bring hiring managers and candidates along. · 6 min
9. Where recruitment AI is goingAgents that run whole requisitions, candidate-side AI, the end of Boolean, and what will not change. · 5 min