EU AI Act: Vertical Standards Proposed for Algorithmic Hiring

The European AI Act mandates that high-risk AI systems must adhere to stringent requirements across various domains, including risk management, data quality, logging, transparency, and human oversight. Given that the standardization process for AI is ongoing and currently lacks specific European standards for algorithmic hiring, this paper introduces a tailored framework. It provides concrete, standardization-oriented recommendations specifically for AI systems used in recruitment. The framework contextualizes the AI Act's requirements for high-risk domains, particularly in hiring, outlining necessary activities to ensure appropriate use and desired performance. Unlike broader, horizontal approaches to AI governance, this contribution offers a vertical, domain-specific framework. It focuses on ranking-based recruitment systems, mapping the AI Act's demands to practical recommendations. Key areas of focus include addressing lifecycle discrimination risks, implementing fairness-aware data governance, ensuring explainability, establishing effective human oversight, and continuous post-deployment monitoring for recruitment systems. While informed by the European project FINDHR, the recommendations are designed to be implementable using various methods and tools, providing a flexible blueprint for compliance.