False Claims in Website Accessibility Overlays

Recent investigations have uncovered instances where certain website accessibility overlays make false or exaggerated claims about their abilities to improve accessibility. These overlay tools, which are intended to assist disabled individuals by improving the usability of websites, can potentially mislead users with promises of comprehensive accessibility solutions when in reality they may only address a narrow set of issues. This raises concerns regarding responsible AI governance and the need for trustworthy AI models in the development and deployment of such tools.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.529, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.517, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.509, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/148

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.