The integration of Artificial Intelligence (AI) in education has been heralded as a transformative approach to fostering inclusivity for students with diverse learning needs. This review critically evaluates the effectiveness of AI-driven tools and methodologies in promoting inclusive education, drawing upon empirical studies and theoretical analyses published between 2014 and 2025. The findings indicate that AI has the potential to personalize learning experiences, enhance accessibility, and support educators in addressing individual student needs. However, challenges such as ethical considerations, data privacy, and the digital divide must be addressed to fully realize AI's potential in inclusive education. The review concludes with recommendations for future research and policy development to ensure that AI integration in education is both equitable and effective.
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