BBC Reporter's Twin Brother Cracks HSBC's Voice ID: A Cautionary Tale for Trustworthy AI

May 19, 2017

This AI incident, involving HSBC's voice recognition authentication system, demonstrates the importance of safeguards in AI governance. The system was tricked after seven attempts by mimicking a voice, highlighting the need for robust measures to ensure safe and secure AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
Alleged deployer
hsbc-uk
Alleged developer
nuance-communications
Alleged harmed parties
hsbc-uk-customers, dan-simmons

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/428

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.