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Bridging fairness in machine learning: A legal critique of technical strategies
Machine learning (ML) systems automating high-stakes decisions in hiring, finance, healthcare and other high-stakes domains and are facing intensifying legal scrutiny under GDPR, EU AI Act, and equality frameworks. This interdisciplinary study reveals critical misalignments between technical fairnes
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