Leveraging AI To Bridge Educational Inequities: A Global Perspective

Educational inequities continue to pose significant challenges globally, hindering access to quality learning opportunities for marginalized populations. This review article explores the transformative potential of artificial intelligence (AI) in addressing these disparities, synthesizing research published between 2013 and 2024. By examining diverse applications of AI in educational contexts—from personalized learning platforms to intelligent tutoring systems—we highlight how these technologies can enhance accessibility and improve outcomes for disadvantaged learners. Our findings reveal that AI-driven solutions have successfully increased engagement and performance among students facing socioeconomic, geographic, and cultural barriers. However, the implementation of AI in education is not without challenges; issues such as algorithmic bias, the digital divide, and the necessity for adequate teacher training are critical considerations. We argue that while AI holds the promise of bridging educational gaps, its efficacy depends on intentional design, equitable access, and collaborative efforts among stakeholders. This review emphasizes the need for ongoing research and policy development to ensure that AI technologies are deployed in ways that prioritize equity and inclusion, ultimately contributing to a more just educational landscape worldwide.