Artificial intelligence (AI) use in education is transforming the nature of inclusive learning through the provision of assistance which can be enlarged, modified and specialized to suit the needs of various learners, in particular those of students. In this paper, the recent research and ideas are examined to discuss the ways in which AI contributes to inclusive education in a variety of perspectives. Artificially intelligent assistive technology, such as intelligent tutoring, speech recognition, and learning environments that adapt to their user, has been demonstrated to make things easier to reach, assist in speaking, managing emotions, and performing at school better to students with thinking, body, or learning problems. Education is also made more personal using AI that examines student data to transform the method of presenting content to suit specific needs and allowing individuals to study at a pace of their own. Within the educational environment, AI technology has been applied as a way of assisting students with foreign language and cultural skills to make the learning environment more inclusive and receptive to everyone. Nevertheless, such issues as the bias in algorithms, the lack of technology in underprivileged localities, and the necessity of regulations regarding the utilization of AI on the moral level still require improvement. The discussion has revealed that we should jointly develop AI systems with instructors and learners and advocate transparency, equity and accountability. In this report, I propose a related framework, where AI is not only an upgrade of technology but a factor that will lead educational systems to change. With the continuous developments of AI, the capacity to seal the discrepancies in the accessibility and provide education as equal in various scenarios across in the world is not only robust but promising.