Synopsis "Advancing Disability Inclusion Through AI"
Artificial intelligence (AI) is creating new opportunities to improve education, accessibility, and disability support by addressing longstanding barriers to participation, independence, and equitable access. From adaptive learning platforms and intelligent assistive technologies to predictive analytics and automated support systems, AI has the potential to enhance outcomes for individuals with disabilities across educational, professional, financial, and social settings. However, realizing these benefits requires more than technological advancement alone. It demands a sustained commitment to accessibility, inclusion, ethical design, and accountability to ensure that AI systems reflect the diverse needs, experiences, and rights of people with disabilities. As AI becomes increasingly embedded in institutions and services, careful attention must be paid to both its opportunities and its risks, ensuring that innovation promotes empowerment rather than exclusion. Advancing Disability Inclusion Through AI: Education, Accessibility, and Accountability examines how AI can contribute to the development of more inclusive, accessible, and equitable systems. Bringing together interdisciplinary perspectives, this book explores the opportunities, challenges, and institutional responsibilities associated with designing, implementing, and governing AI technologies for disability inclusion. It considers AI applications across educational environments, accessibility and assistive technologies, disability support services, workforce participation, and institutional decision-making. Covering topics such as decision support systems, early childhood development, and personalized disability support systems, this book is an essential resource for academics, graduate and postgraduate students, researchers, engineers, educators, policymakers, disability advocates, and professionals seeking to advance accessibility and inclusion through responsible AI innovation.
