Alleged AI-Generated IRS Scam Websites Used to Defraud U.S. Taxpayers
March 14, 2025
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 2.2 — similarity 0.599, rank 1. TAIM detail and related incidents →
- GOVERN 6.1 — similarity 0.598, rank 2. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.596, rank 3. TAIM detail and related incidents →
- Alleged deployer
- phishers, scammers-impersonating-the-irs, cyber-criminals, unknown-scammers
- Alleged developer
- unknown-generative-ai-developers, black-box-ai-developers, generative-ai-fraud-tools
- Alleged harmed parties
- taxpayers-in-the-united-states, general-public-of-the-united-states, u.s.-citizens, identity-theft-victims, irs
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/991
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.