Addressing Concerns: The Impact of Masks on Apple's Face ID on iPhone X

Exploring the recent discovery that masks can sometimes bypass Face ID on the iPhone X, this article delves into the broader implications for responsible AI governance and the need for safe and secure AI systems. Understanding these incidents is crucial for the development of trustworthy AI models and effective harm prevention strategies.

Matched TAIM controls

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

MEASURE 2.10 — similarity 0.556, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.554, rank 2. TAIM detail and related incidents →
MEASURE 2.7 — 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/26

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.