AI Regulatory Intelligence โ€” by YRproject

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Guide

AI in the workplace: the guide for employers and HR

Adopted 2026-06-20 ยท ≈ 3 min read ยท Dirk Baaijen

AI in recruitment, workforce management and monitoring largely falls under the AI Act (Annex III, high-risk) and the GDPR, with one hard ban: emotion recognition at work. This guide brings together what applies to employers and where to start.

Short answer: For employers, AI regulation reaches the workplace along three lines: the AI Act designates AI in recruitment and workforce management as high-risk (Annex III), the GDPR sets requirements for automated decisions about people, and one use is banned outright โ€” emotion recognition at work (since 2 February 2025). This guide brings the separate files together so you know what applies and where to start.

What it comes down to

Almost every employer now uses AI around staff: CV screening, ranking applicants, scheduling, performance monitoring. Many of these uses fall under the AI Act's high-risk regime โ€” regardless of your sector or size. On top of that the GDPR applies, and since early 2025 there is a ban on emotion recognition in the workplace.

Recruitment and selection

Deployment, evaluation and monitoring

Development and sensitive uses

Data, rights and co-determination

Policy and compliance

Where to start

Begin with an inventory: which AI do you use around staff, and what role does each system play in decisions about people? That determines the risk class and your obligations. In a hurry? Take the HR self-scan โ€” tick what you use and you'll instantly get the rules and the right files. For the full inventory there is also the AI Act scan โ€” every result traceable to its source.

Sources

  1. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
    Regulation (EU) 2024/1689 (AI Act): Annex III (employment) high-risk; Art. 5 bans emotion recognition in the workplace.

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Dirk Baaijen

About this knowledge base

Compiled and maintained by YRproject โ€” programme and project direction at the intersection of digital transformation, AI and regulation. Every factual claim is traceable to its primary source. YRproject is led by Dirk Baaijen About & method โ†’

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