1734-4867 AI Auditing under Labour Law: Insights from the AI Act and the Platform Work Directive Nowik Paweł author Katolicki Uniwersytet Lubelski Jana Pawła II Correspondence to: Paweł Nowik 03 09 2025 Tom 32 Zeszyt 4 Volume 32 (2025) 293 314 Copyright © 2025 2025 This article examines the emerging role of artificial intelligence (AI) auditing as a mechanism for promoting algorithmic accountability within the European Union’s labour law framework. Focusing on two key legislative instruments—the Artificial Intelligence Act (AI Act) and the Platform Work Directive (PWD)—the study presents a comparative analysis of their respective audit models. While the AI Act introduces a general, risk‑based approach to AI governance centred on ex ante conformity assessments, the PWD establishes a sector‑specific, rights‑based framework that emphasises transparency, human oversight, and worker participation in ex post evaluations of algorithmic management systems. <br />Drawing on legal analysis and interdisciplinary literature, the article explores how each instrument operationalises AI auditing, with particular attention to procedural safeguards, institutional design, and enforcement mechanisms. It argues that, although the AI Act offers a more formalised audit structure, its reliance on internal assessments raises concerns regarding independence and effectiveness. 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