Unauthorized Access: Fraudulent Voice Cloning Leads to $35 Million Bank Theft - Highlighting the Need for Responsible AI
This AI incident, involving voice cloning, demonstrates the potential risks of unregulated AI applications. The fraud resulted in a significant loss of $35 million. Such incidents underscore the importance of trustworthy and safe AI, a core focus of Project Cerebellum. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/147
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.