UK Bank's Voice ID Successfully Bypassed Using AI-Produced Audio

February 22, 2023

A UK journalist bypassed Lloyds Bank's Voice ID security system using an AI-generated audio of his own voice, highlighting the need for trustworthy and safe AI practices. This incident underscores the importance of robust AI governance to prevent such harm. For those interested in shaping responsible AI policies, join us at HISPI Project Cerebellum TAIM (Govern). The AI incident database serves as a valuable resource for mapping, measuring, and managing incidents such as this one to ensure safe and secure AI practices.

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Matched TAIM controls

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

MEASURE 2.6 — similarity 0.714, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.700, rank 2. TAIM detail and related incidents →
GOVERN 1.2 — similarity 0.694, rank 3. TAIM detail and related incidents →

Alleged deployer: joseph-cox, lloyds-bank
Alleged developer: elevenlabs, lloyds-bank
Alleged harmed parties: lloyds-bank

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/485

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.