Brother'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 successfully unlocked his brother's new iPhone X using Face ID. This underscores the importance of trustworthy AI and strong AI governance to prevent such occurrences. The HISPI Project Cerebellum TAIM aims to provide guardrails for AI, helping in harm prevention and ensuring safe and secure AI practices.

Matched TAIM controls

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

MAP 1.6 — similarity 0.513, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.508, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.494, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/32

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.