The development of Artificial Intelligence (AI) provides new opportunities for transforming inclusive education, particularly in supporting learning for students with special needs. This article aims to analyze the roles, benefits, challenges, and implementation strategies of AI in strengthening inclusive education through a Systematic Literature Review (SLR) approach. The review examined scientific publications from the last five years focusing on AI integration in education, assistive technology, adaptive learning, personalized learning, and accessibility for diverse learners. The findings indicate that AI contributes to more personalized learning experiences through adaptive learning systems, learning analytics, AI-based communication technologies, and assistive devices. Furthermore, AI supports teachers in instructional planning, assessment, and data-driven decision-making processes. However, several challenges remain, including teacher competency readiness, unequal access to technology, data privacy, and ethical concerns regarding AI implementation. Therefore, AI integration in inclusive education should adopt a human-centered, equitable, and responsible approach to ensure that technological advancement contributes to creating accessible and supportive learning environments for all students.
Copyrights © 2026