How to Use AI in Recruiting
The reliable way to use AI in recruiting is to give it the repetitive volume and keep the judgment: let it search for candidates, draft first-touch outreach, run the first interview and rank what it finds, while people set the bar and make every decision. The Cognitive is built on that split - sourcing and live AI interviews run on their own, and each rating comes back tied to a quote and a timestamp so a person can check it.
How to use AI in recruiting, stage by stage
| Stage | Give to the AI | Keep with people | How you know it is working |
|---|---|---|---|
| Sourcing | Searching the profile pool against a written brief and ranking the matches | Writing the brief and judging whether the list reflects it | You can read why each candidate was returned, not just that they were |
| Outreach | Sequencing touches across email, SMS and calls, stopping on reply | The reply, and every negotiation after it | Reply rates hold as volume rises instead of collapsing |
| Screening | Scoring applications against the role's stated requirements | Reviewing the borderline cases and the rejections | Rejections are explainable to the candidate who asks |
| First interview | Running a live, adaptive interview and rating it against a fixed rubric | Defining the competencies and the rubric before anyone is interviewed | Final-round pass rate rises rather than the number of interviews alone |
| Shortlisting | Ranking candidates on demonstrated ability with linked evidence | Reading the evidence and choosing who to meet | Hiring managers open the scorecard instead of re-screening resumes |
| The decision | Nothing | All of it | There is a person accountable for every rejection and every offer |
7 rules that keep AI recruiting defensible
- Tell candidates. Disclosure before an AI interview is both a legal requirement in a growing number of jurisdictions and the thing that keeps completion rates high.
- Fix the rubric, not the script: on The Cognitive the competencies and scoring standard are set per role and applied to everyone, while each next question is decided live from the answer just given.
- Never infer emotion or personality from a face or a voice - the science is weak and the EU AI Act prohibits it in workplace contexts.
- Demand auditable evidence: if a score cannot be traced to something the candidate said, it cannot be defended.
- Do not auto-reject on keywords. Rank for human review instead, so a person owns every rejection.
- Run a bias audit and keep the records - New York City's Local Law 144 requires an annual one for automated employment decision tools, plus notice to candidates.
- Check the AI against outcomes: correlate interview scores with 12-month performance and retention, and change the rubric when they disagree.
Frequently Asked Questions
Is it legal to use AI in recruiting?
Yes, with conditions that vary by jurisdiction. New York City's Local Law 144 requires an annual independent bias audit of automated employment decision tools and advance notice to candidates; the EU AI Act treats employment AI as high-risk, demanding transparency, human oversight and record-keeping, and prohibits emotion inference at work. The practical compliance posture is the same everywhere: disclose, keep a human decision-maker, and retain auditable evidence.
What should you not use AI for in recruiting?
The hiring decision, personality or emotion inference, and automatic rejection on resume keywords. Each fails for the same reason: it takes an irreversible action on a signal nobody can inspect afterwards. Use AI where the output is evidence a person then reads - a ranked list, a scored interview, a match reason - and keep the irreversible steps human.
Where does AI actually save recruiters time?
In the repetitive middle: sourcing passes, first-touch outreach and follow-ups, scheduling, and first-round screens. Those are hours of coordination rather than hours of judgment, which is exactly what automation is good at. A manual screen alone consumes $60-80 of staff time, and it is the stage teams most often hand over first.
Related answers
AI Recruiter · What Is Recruitment Automation? · Bias & Fairness · EU AI Act & AI Interviews · Deep AI Interviews · Pricing · Answers: AI Recruiting, Explained Directly · What Is an AI Interview? (A Candidate's Guide)