Hiring AI is high-risk.Talara is built for it.

What the EU AI Act requires for hiring

The EU AI Act (Regulation (EU) 2024/1689) lists AI systems used for the recruitment or selection of candidates among its high-risk categories. For a deployer, that brings a set of obligations:

• Human oversight: a person must be able to understand, oversee, and override the system.
• Transparency: people affected must be informed, and outputs must be interpretable.
• Risk and bias management: foreseeable risks, including discrimination, must be identified and mitigated.
• Record-keeping: the system must log events so decisions can be traced after the fact.
• Data governance: data used must be relevant and managed lawfully.

How Talara maps to each obligation

Talara is designed so these obligations are satisfied by the product itself, not by process documents alone:

• Human oversight is enforced as a database constraint: no candidate advances, no offer sends, and no role closes without a recorded human approval.
• Transparency is built into every AI output: each fit score and recommendation shows the reasoning behind it.
• Bias monitoring runs across the pipeline so disparate outcomes surface early.
• Record-keeping is the immutable audit trail: every action carries the actor, the subject, and the before-and-after change.

What you can show an auditor

Because every consequential decision is gated and logged, Talara lets you produce the evidence an auditor or works council asks for: who made each decision, what the AI proposed, what reasoning it showed, and what the human did with it. The record is exportable and keyed to resource identifiers rather than personal data, so it survives GDPR erasure requests.

This is the same model described under human-in-the-loop hiring.