Unauthorized Access: A Face ID Breach Demonstrates the Need for Robust AI Guardrails
In a concerning incident, hackers succeeded in bypassing Apple's secure Face ID system and unlocking an iPhone X with a mask. This underscores the importance of robust AI governance and trustworthy AI systems like Project Cerebellum's AI incident database. The HISPI Project Cerebellum Trusted AI Model (TAIM) highlights this function as crucial for harm prevention. Ready to help shape responsible AI? JOIN US
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.