Error-Prone AI Accessibility Tools Reportedly Lead to Navigation Issues for Blind Internet Users
Description
AI-powered accessibility overlays on websites frequently mislabel or misinterpret content, in turn complicating navigation for blind users and others with disabilities. Users report that the AI tools interfere with screen readers and mislead them with inaccurate descriptions. The reported unreliability in these tools have prompted legal action, as the companies behind them seek compliance with accessibility laws.
Actors
Alleged Deployers
- zara
- pemex
- lvmh
- capita
- companies-using-ai-based-accessibility-tools
Alleged Developers
- equalweb
- userway
- developers-of-ai-based-accessibility-tools
Harmed Parties
- blind-people
- visually-impaired-people
- jakob-rosin
Classification
Risk Domain
AI Safety & FailuresRisk Subdomain
7.3. Lack of capability or robustness
MIT Risk Profile
Topics
Source
Related Incidents (AI Safety & Failures)
View all →Research Papers on This Topic
View all →Concrete Problems in AI Safety
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Representation Engineering: A Top-Down Approach to AI Transparency
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.