This study examines the intersection of artificial intelligence (AI) and critical social theory, with an emphasis on ethical responsibility, structural inequality, and technological governance. It provides a multidimensional analysis of how AI systems both reflect and reinforce existing socio-economic hierarchies. It highlights how AI reproduces racial, gendered, and class-based asymmetries. It argues for a re-politicization of AI ethics by embedding it within broader frameworks of power, historical injustice, and democratic accountability. While Marxist and feminist theories expose exploitation and invisibility in labor and reproduction, postcolonial analysis reveals geopolitical asymmetries in data extraction. It concludes that addressing the challenges posed by AI requires not only technical regulation but also a philosophical reconsideration of responsibility, agency, and justice in the digital age.
Zhang et al. (Fri,) studied this question.