Weight of gender in artificial intelligence models’ implementation in the European Union non-discrimination laws

This paper examines the intersection of gender discrimination and artificial intelligence (AI) within the context of European Union (EU) non-discrimination laws. As AI becomes increasingly integrated into our everyday lives, concerns over its potential to perpetuate or exacerbate gender bias have emerged. This work aims to determine whether the current EU legal framework adequately addresses the risks of gender discrimination associated with AI models. Using an interdisciplinary approach, combining law and technology, the study critically assesses the robustness of current EU non-discrimination laws in mitigating AI-induced gender biases. It also explores how these laws could be enhanced to better protect against such discrimination. Methodologically, this paper relies on legal analysis and literature review to identify gaps in the current framework and to propose more effective regulatory and preventive measures. The key findings indicate that, while EU non-discrimination laws<br/>provide a foundational framework, they fail to address the unique challenges arising from the implementation of AI models. The implications of these findings suggest that a more comprehensive approach is needed to reduce gender discrimination in digital environments, including legal reforms, technological safeguards, and preventive measures.