Face ID Technology Fails to Distinguish Between Two Chinese Women
Apple Inc.'s Face ID technology, a critical feature in its iPhone X series, has shown a concerning lack of reliability in identifying two Ch...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
TAIM catalog Map Data source & citationAI Incident: Facial Recognition Misidentifies Twins
Recently, a troubling incident involving Apple's Face ID technology was reported. The system failed to distinguish between identical twin br...
Read moreFooling Face ID: The Challenge of Identical Twins on iPhone XS
A recent incident demonstrates the vulnerabilities in Apple's Face ID, which was fooled by identical twins. This underscores the importance...
Read moreEvaluating Twin Compatibility in iPhone X Facial Recognition
Investigating the implications of twin facial similarities on the recognition capabilities of Apple's Face ID system.
Read moreRivalry in AI Facial Recognition: The Challenge of Identical Twins
Exploring the complexities of facial recognition technology as it grapples with the unique challenge posed by identical twins. This article...
Read moreFace ID Age and Twin Limitations on iPhone X: Responsible AI Practices
Apple advises against using Face ID on an iPhone X for users under 13 years old and those with identical twins. This move highlights the imp...
Read moreFace ID Vulnerability: Identical Twins Can Bypass iPhone X Security
A recent incident reveals a potential security loophole in Apple's Face ID technology on the iPhone X. The system was found to be vulnerable...
Read moreBrother's iPhone X Unlocked Using Face ID: Exploring Responsible AI in Biometric Authentication
Recent events have highlighted the need for robust security measures in AI-driven biometric authentication systems. In an incident, a man su...
Read moreCan iPhone X Facial Recognition Identify Twins Accurately? Mashable's Unexpected Findings
In an attempt to test the facial recognition capabilities of the iPhone X, Mashable put it to the ultimate test: identical twins. The result...
Read morePotential Security Loophole in Apple's Face ID System: The Twin Threat
A recent investigation unveiled a potential vulnerability in the Face ID system of the Apple iPhone X. It was discovered that a twin could p...
Read moreFace ID Limitations in Twin Scenarios: A Closer Look at iPhone X Security
A recent series of tests has highlighted potential vulnerabilities in the Face ID feature on Apple's iPhone X, when used by twins. The resul...
Read morePuzzling 'Not Available' Error in Apple's Face ID Leaves iPhone Users Perplexed
Recent reports indicate that some iPhone users have encountered an unexpected error message when attempting to use Apple's Face ID feature:...
Read moreData 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.