Purported AI-Generated Nude Images Reportedly Used to Extort Wichita Man in Kansas

March 10, 2026

A concerning incident involving an AI-generated image extortion scam was reported in Wichita, Kansas. A man received nude images depicting his face on another body and was threatened with their dissemination via Facebook unless he paid money. Authorities have confirmed a report was filed. This underscores the need for responsible AI practices, trustworthy models like HISPI Project Cerebellum's Trusted AI Model (TAIM), and strong AI governance. For those interested in shaping safe and secure AI practices, JOIN US.

This case demonstrates the importance of guardrails for AI and the role that initiatives like HISPI Project Cerebellum's TAIM play in preventing harm and ensuring effective management of AI incidents.

Matched TAIM controls

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

MAP 1.6 — similarity 0.650, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.646, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.637, rank 3. TAIM detail and related incidents →

Alleged deployer: unknown-scammers
Alleged developer: unknown-image-generator-developers, unknown-deepfake-technology-developers
Alleged harmed parties: neal-zoglmann, epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1404

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.