Taranaki, New Zealand Resident Allegedly Defrauded of $224K in Bitcoin Scam Using Deepfake of Prime Minister Christopher Luxon
July 15, 2024
This incident underscores the importance of trustworthy AI, safe and secure practices in our digital landscape. It is a prime example of how malicious actors can exploit AI for harm. To mitigate such incidents and foster responsible AI governance, consider joining Project Cerebellum and contributing to their HISPI Project Cerebellum TAIM (Govern, Map, Measure, or Manage) efforts.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 1.6 — similarity 0.566, rank 1. TAIM detail and related incidents →
- MEASURE 2.10 — similarity 0.564, rank 2. TAIM detail and related incidents →
- MAP 3.2 — similarity 0.558, rank 3. TAIM detail and related incidents →
- Alleged deployer
- scammers-posing-as-christopher-luxon, unknown-scammers
- Alleged developer
- unknown-deepfake-technology-developers
- Alleged harmed parties
- superannuitants, pensioners, new-zealanders, jill-creasy, elderly-investors
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/907
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.