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Incident 307: iPhone Face ID Failed to Recognize Users’ Morning Faces

Description: The Face ID feature on iPhone allowing users to unlock their phones via facial recognition was reported by users for not recognizing their faces in the morning.

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Alleged: Apple developed and deployed an AI system, which harmed iPhone Face ID users and iPhone X Face ID users.

Incident Stats

Incident ID
307
Report Count
1
Incident Date
2017-11-01
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

7.3. Lack of capability or robustness

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. AI system safety, failures, and limitations

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident OccurrenceThe iPhone’s Cruel Face ID Refuses to Recognize Some Users First Thing in the Morning
The iPhone’s Cruel Face ID Refuses to Recognize Some Users First Thing in the Morning

The iPhone’s Cruel Face ID Refuses to Recognize Some Users First Thing in the Morning

slate.com

The iPhone’s Cruel Face ID Refuses to Recognize Some Users First Thing in the Morning
slate.com · 2018

Unlike Beyoncé, we do not all wake up flawless—at least not according to the iPhone X.

Several iPhone X–owning Twitter users have taken to the latter (probably using the former) to complain that Face ID—the phone’s facial recognition techno…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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