Inclusive education advocates for equal learning opportunities for all students, irrespective of their abilities or backgrounds. The invention of artificial intelligence and modern technologies opens new avenues for improving each child’s learning experience-regardless of their skills and backgrounds-by promoting inclusive education through offering personalized learning experiences and supporting diverse learning needs, thus fostering a completely inclusive learning environment. By applying AI technologies, educators can design more effective, inclusive, and engaging curricula, differentiating their requirements with the diversified needs of today’s learners toward more equitable and innovative educational learning for each type of learner. This research views the present applications of AI in inclusive education as (a) assistive technologies as per the need of every student, (b) personalized learning, and (c) inclusive assessment tools (IATs) and intelligent tutoring systems (ITSs). This research looks into the following benefits of AI in inclusive education: (a) enhanced accessibility, (b) data-driven decision-making, (b) improved engagement, (d) early intervention, and (e) continuous enhancement. Some of the challenges and ethical issues that AI in inclusive education raises are data privacy, data security, teacher training and support, costs, and access. This study also sheds light on the future direction: for instance, R&D in AI for inclusive education, policy and regulations, collaboration, and partnerships of different stakeholders. The findings and implications of this study will help educators, practitioners, and policymakers to make decisions for the effective use of AI and new technologies in enhancing every student’s learning experience. © 2026 selection and editorial matter, K.M. Soni, Nitasha Hasteer, Aditi Bhardwaj, Rahul Sindhwani, and J., Paulo Davim; individual chapters, the contributors.