in: Transforming Education with Singularity Technologies: Lifelong Learning from Childhood to Adulthood, CRC Press, pp.226-238, 2026
This chapter examines the role of Artificial Intelligence (AI) in inclusive education, highlighting its potential to enhance accessibility, equity, and learner diversity. As part of digital transformation, AI supports students with disabilities, marginalized groups, and diverse socio-economic backgrounds through personalized learning, adaptive feedback, and assistive technologies. AI-powered adaptive platforms and intelligent tutoring systems provide real-time, differentiated support for learners with conditions such as autism, dyslexia, and sensory impairments, reducing physical, linguistic, and cognitive barriers. These tools also enable more flexible, student-centered instructional design, supporting engagement and self-regulation. However, critical challenges remain. Algorithmic bias can reinforce stereotypes if AI tools lack cultural sensitivity. Data privacy and ethical concerns require robust safeguards, especially when handling sensitive student information. Moreover, inadequate teacher training may lead to misuse or overdependence, diminishing pedagogical agency and social-emotional learning. Financial limitations in under-resourced schools further hinder equitable access, potentially widening educational disparities. Excessive reliance on AI may also reduce human interaction and critical thinking if not embedded within sound instructional strategies. Future directions call for inclusive datasets, global cooperation, and professional development to ensure ethical and effective AI use. Research should focus on emerging educator competencies and interdisciplinary factors – cultural, linguistic, and economic – that shape inclusive, AI-mediated learning environments.