iPhone Face ID Failed to Recognize Users’ Morning Faces
November 1, 2017
For those interested in shaping harm prevention strategies and promoting safe and secure AI practices, join HISPI Project Cerebellum TAIM (Govern) to map such incidents and measure their impact on trustworthy AI.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 1.6 — similarity 0.664, rank 1. TAIM detail and related incidents →
- MEASURE 2.6 — similarity 0.657, rank 2. TAIM detail and related incidents →
- MANAGE 4.3 — similarity 0.654, rank 3. TAIM detail and related incidents →
- Alleged deployer
- apple
- Alleged developer
- apple
- Alleged harmed parties
- iphone-face-id-users, iphone-x-face-id-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/307
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.