A person always decides
Output is advisory. No automated advancement, rejection or ranking. The scorecard is structured to be read and overridden by a human — the essence of meaningful oversight.
The EU AI Act treats candidate-evaluation tools as high-risk. Rather than retrofit compliance, we built hire.center around its principles: human oversight, transparency, data governance and auditability.
Under Annex III of the EU AI Act, AI systems intended to be used for the recruitment or selection of people — screening applications and evaluating candidates — are classified as high-risk. The reasoning is simple: these systems affect people's access to work, so the law demands they be safe, transparent, well-governed and subject to human control.
For a provider like hire.center, high-risk classification means a concrete set of obligations. Here is how each maps to how the product actually works.
Output is advisory. No automated advancement, rejection or ranking. The scorecard is structured to be read and overridden by a human — the essence of meaningful oversight.
Candidates consent before the simulation and are informed they are interacting with an AI-assisted assessment whose result is advisory to a human decision.
Scoring is based on the transcript of the simulation against role-relevant constructs — not résumés, names, photos or demographic signals. See fairness.
Assessments, blueprints and evidence are retained so a decision can be reconstructed and reviewed — supporting the Act's logging expectations.
Quote verification and an explicit 'insufficient evidence' outcome reduce fabricated confidence and make scores checkable against the transcript.
We keep provider-side technical documentation and a risk-management file describing the system, its intended purpose, and its limitations.
The Act splits duties between the provider (us) and the deployer (the employer). Clarity here protects both sides.
| Responsibility | Provider — hire.center | Deployer — the employer |
|---|---|---|
| Risk management & technical documentation | Maintains the risk file and system documentation. | Reviews suitability for their use case. |
| Human oversight | Builds oversight controls into the product (advisory-only, override). | Ensures a competent person actually reviews and decides. |
| Transparency to candidates | Provides consent flow and candidate-facing information. | Communicates use to candidates as an employer. |
| Logging & retention | Retains assessment records and evidence. | Sets retention aligned to local employment law. |
| Bias monitoring | Designs for construct-focused, demographic-blind scoring. | Monitors real-world outcomes for adverse impact. |
Yes. Annex III of the EU AI Act classifies AI systems used for recruitment and selection — including tools that evaluate candidates — as high-risk. That triggers obligations around risk management, data governance, transparency, human oversight, logging and technical documentation.
No — and that is deliberate. hire.center produces an advisory assessment only. A human always makes the hiring decision. We never auto-advance, auto-reject or auto-rank candidates. Meaningful human oversight is a core requirement of the Act, and it is designed into the product, not bolted on.
The AI Act entered into force in 2024 and applies in phases. Obligations for high-risk systems under Annex III phase in over 2026–2027. We treat the earliest applicable dates as our planning horizon rather than waiting for enforcement.
We are the provider of the AI system; the employer using it is the deployer. Each role has distinct duties. We give deployers what they need to meet theirs — transparency information for candidates, human-oversight controls, and documentation — while we maintain the provider-side risk file and technical documentation.
See the human-in-the-loop scorecard and the evidence behind every score.