Constitutional Safeguards Against Gender Bias in Artificial Intelligence: A Framework for Gender-Responsive AI Governance

Abstract

Artificial intelligence (AI) has become an integral part of decision-making in both public and private sectors, offering significant benefits while simultaneously raising concerns over algorithmic discrimination. Gender bias embedded in AI systems may produce unequal outcomes in employment, healthcare, finance, law enforcement, and public services, thereby threatening constitutional principles of equality, non-discrimination, human dignity, and due process. Although existing studies have extensively discussed AI ethics and regulatory governance, limited attention has been given to the constitutional dimensions of gender-biased AI. This article addresses this gap by examining how constitutional safeguards should be reconstructed within the framework of digital constitutionalism to respond to gender bias in AI.

This study employs normative legal research using statutory, conceptual, and comparative approaches by analyzing constitutional provisions, international human rights instruments, European AI regulatory frameworks, and contemporary scholarship on digital constitutionalism. The study finds that gender bias in AI constitutes a constitutional challenge because algorithmic systems increasingly exercise public-like power without adequate constitutional oversight. It argues that constitutional protection should incorporate the core principles of trustworthy AI, including human oversight, transparency, accountability, fairness and non-discrimination, privacy and data governance, technical robustness, and effective remedies, thereby strengthening digital constitutionalism as a framework for protecting fundamental rights in the age of artificial intelligence.