AI in recruiting: what the EU AI Act changes for you
If you use AI to screen or score applications, the EU AI Act applies to you directly. Here, jargon-free, is what changes and how to stay on the right side of it.
Why recruiting AI is classified as "high-risk"
Regulation (EU) 2024/1689 — the AI Act — ranks AI systems by risk level. Employment is in scope: Annex III, point 4 explicitly covers AI used to screen, filter applications and evaluate candidates. These uses are therefore 'high-risk'.
The reason is simple: a hiring decision has a direct impact on people. Lawmakers want to prevent an opaque AI from rejecting candidates on criteria that can be neither explained nor challenged.
The deadlines that matter
The AI Act entered into force in 2024, but its obligations apply in stages. Prohibited practices have applied since February 2025. The obligations for Annex III high-risk systems — including recruiting — become applicable on 2 August 2026.
In practice: if you launch or use an AI scoring tool in late 2026, you step straight into the high-risk regime. Better to prepare before, not after a first complaint.
Provider vs deployer: who carries what?
The AI Act draws two roles. The "provider" builds the AI system (here, the software vendor). The "deployer" uses it in their hiring (the recruiting company).
The provider carries the heaviest obligations: technical documentation, risk management, robustness and bias testing, transparency. The deployer must keep meaningful human oversight, inform candidates and never base a decision on the machine score alone.
For you as a recruiter: choosing a provider that has already done this work offloads most of the burden. It is a selection criterion in its own right.
Four habits to recruit with compliant AI
1. Keep a human in the loop: no application should be rejected automatically. The score is a reading aid, not a verdict.
2. Demand transparent criteria: you must be able to explain what the AI evaluates and with which weightings.
3. Inform candidates: applicants must know an AI takes part in analysing their file, and be able to request a review.
4. Check for bias: the provider must be able to show that equivalent profiles get equivalent scores, regardless of name, age or origin.
How aiKip approaches it
aiKip is built around these constraints, not against them. The AI score is explicitly "indicative" and no stage change is automatic: the recruiter stays in control. Criteria and weightings are public (skills 35%, experience 35%, education 15%, motivation 15%) and recomputed server-side.
An evaluation set regularly replays identical profiles with different names to surface any bias. And a public transparency page explains to candidates how the analysis works and what their rights are. The goal: AI you can audit, not take on faith.
Frequently asked questions
Does the AI Act ban AI in recruiting?
No. It does not ban it — it frames it. AI screening and evaluation of applications is "high-risk", which imposes obligations (human oversight, transparency, bias testing), but the use remains allowed if compliant.
Am I liable if I use an AI scoring tool?
As a "deployer" you have your own obligations: keep human oversight, inform candidates, never decide on the score alone. Choosing an already-compliant provider greatly reduces your burden.
What happens on 2 August 2026?
The obligations for Annex III high-risk AI systems — including recruiting — become applicable. Any deployment from that date must meet the framework.
aiKip is the sovereign, compliant ATS that makes all of this simple.
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