AI and Accessibility: Breaking Barriers for People with Disabilities

Abstract

Artificial intelligence (AI) is revolutionizing accessibility, offering transformative opportunities to enhance autonomy, quality of life, and social inclusion for people with disabilities. This narrative review article explores the intersection of AI and accessibility, critically analyzing its applications in healthcare, education, employment, and daily living. Highlighting innovations such as AI-driven assistive technologies, adaptive learning platforms, and wearable devices demonstrates how these tools empower individuals to overcome systemic barriers. The article also identifies significant challenges, including algorithmic bias, cost limitations, usability issues, and ethical concerns regarding privacy and inclusivity. Through a synthesis of interdisciplinary literature and real-world case studies, including AI chatbots for disability disclosure and accessible Science, Technology, Engineering, and Mathematics solutions, the article provides practical insights into the successes and shortcomings of current AI-driven solutions. It offers future research directions, emphasizing user-centric design, intersectional inclusivity, and ethical frameworks. The findings underscore AI’s transformative potential to create a more equitable, inclusive society while outlining the critical steps to address persistent barriers.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 8 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.