This research examines how artificial intelligence systems can reproduce and deepen pre-existing social inequalities, with particular attention to their effects on persons with disabilities.
It approaches algorithmic discrimination through an intersectional lens and considers how factors such as gender, race, class, age and place of origin can intensify barriers. It also argues for feminist, decolonial and human-rights frameworks and for the meaningful participation of affected communities throughout the design and evaluation of AI systems.
The article was published in UNIVERSITAS. Revista de Filosofía, Derecho y Política, issue 48 (2026), pp. 98–120.
