Improving Disability Support and Institutional Performance with AI, (Paperback)

The global landscape of disability support is at a transformative juncture, shaped by persistent gaps in accessibility, inclusion, and equitable service delivery. Artificial intelligence offers powerful opportunities to personalize accommodations, strengthen assistive technologies, expand autonomy, and help institutions respond more effectively to diverse learner and community needs. When applied thoughtfully, AI can improve institutional performance by supporting more efficient workflows, earlier identification of barriers, and data-informed approaches to compliance and support services. However, these innovations must be guided by ethical design, transparency, and meaningful participation from individuals with disabilities to prevent bias, exclusion, or overreliance on automated systems. A well-rounded approach to AI in disability support therefore requires multidisciplinary collaboration that balances technological advancement with social justice, universal design, and human-centered care. Improving Disability Support and Institutional Performance With AI elucidates the ways in which AI-driven technologies can empower individuals with disabilities, while also examining how institutions can leverage these tools to improve their service delivery, compliance, and overall performance. Crucially, this exploration is underpinned by a steadfast commitment to ethical design, centering the voices and rights of individuals with disabilities to avoid perpetuating bias or creating new forms of digital exclusion. Covering topics such as assistive technology, inclusive business models, and visual-auditory assistive systems, this book is an excellent resource for academicians, researchers, university administrators, disability service providers, policymakers, and more.

• Improving Disability Support and Institutional Performance with AI, (Paperback)
• Author: Udeme Samuel Jacob
• ISBN: 9798337394534
• Format: Paperback
• Publication Date: 2026-11-03
• Page Count: 0