Purportedly AI-Assisted Impersonation of Martin Henderson in Romance Scam Leads to Reported NZ$375,000 Fraud

February 1, 2025

An online romance scam exploiting AI-assisted impersonation defrauded a woman, 'Lea', of NZ$375,000 over two years. The scammer allegedly used AI-generated voice messages and deceptive text communication to pose as New Zealand actor Martin Henderson. This case underscores the need for safe and secure AI practices in maintaining trustworthy digital relationships. For those interested in shaping the future of responsible AI, join Project Cerebellum and learn how our AI incident database can help establish guardrails for AI through Govern, Map, Measure, or Manage approaches within the HISPI Project Cerebellum TAIM.

This incident serves as a stark reminder of the potential harm that unchecked AI can cause. By getting involved with Project Cerebellum, you can contribute to harm prevention and help ensure safe and secure AI practices for all.

Matched TAIM controls

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

Alleged deployer
unknown-scammer-impersonating-martin-henderson, unknown-scammers
Alleged developer
unknown-deepfake-technology-developers, unknown-voice-cloning-technology-developers, unknown-large-language-model-developers
Alleged harmed parties
martin-henderson, lea-(pseudonym)

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/938

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.