Is AI bias toward disabled people an accessibility issue?

Overview

Artificial intelligence is rapidly becoming the gatekeeper of opportunity, shaping access to jobs, healthcare, education, and essential digital services. Yet when these systems are trained on incomplete or ableist data, they systematically misread disability, misinterpret assistive technology, or exclude disabled people altogether.

This white paper argues that such failures are not just technical flaws but modern accessibility barriers. As algorithmic decision-making becomes more opaque and influential, accessibility must expand beyond usable interfaces to include equitable outcomes. This paper reframes accessibility for the AI era and offers a structured, actionable approach to ensuring that disabled people are not left behind by the systems designed to serve them.

Topics covered in this white paper

• How AI bias toward disabled people emerges across data collection, annotation, modeling, and deployment 
• Why disability-related misclassifications represent accessibility failures rather than isolated model errors
• Real-world evidence of disability bias including sentiment skew in LLMs, accuracy gaps in speech recognition, and exclusion in hiring, biometric, and image models
• Testing that reveal accessibility risks and frameworks for building representative datasets, transparent appeal processes, and human-in-the-loop safeguards
• A practical blueprint for embedding disability inclusion across the full AI lifecycle

How you can benefit from this white paper

• Reimagine accessibility through the lens of equitable AI outcomes rather than only accessible interfaces
• Understand how disability bias is encoded into today’s AI systems and how it can be systematically uncovered
• Discover robust testing strategies to detect hidden barriers before they scale to thousands of users
• Learn how to design AI systems that respect, include, and accurately interpret disabled users
• Equip your teams with a roadmap for building safer, more inclusive, and more accountable AI solutions

Ready to make your AI fairer, safer, and truly accessible? Download this white paper to learn how equitable AI can transform inclusion for disabled people in the digital age.