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Incident 1448: Ohio Man Pleaded Guilty after Prosecutors Alleged He Used AI to Create and Distribute Nonconsensual Intimate-Image Forgeries Including CSAM in Harassment Campaign

Responded
Description: An Ohio man, James Strahler II, pleaded guilty in federal court after prosecutors alleged that, from late 2024 into mid-2025, he used AI tools to create and distribute nonconsensual intimate-image forgeries as part of a broader harassment campaign targeting at least six adult women. Authorities said the conduct also involved additional CSAM material. The Department of Justice said it believes this was the first U.S. conviction under the Take It Down Act.
Editor Notes: Timeline note: According to reporting, the crimes in this case occurred between December 2024 and June 2025. The incident ID date of 12/01/2024 is an approximation. The defendant, reportedly the first person convicted under the Take It Down Act, pleaded guilty on 04/07/2026. The incident ID was created on 04/11/2026.

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Entities

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Alleged: Image generator developers , Generative AI developers and Deepfake technology developers developed an AI system deployed by James Strahler II, which harmed Women in Ohio , Women , Minors and Epistemic integrity.
Alleged implicated AI systems: Unknown generative AI systems , Deepfake technology and Deepfake CSAM technology

Incident Stats

Incident ID
1448
Report Count
2
Incident Date
2024-12-01
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.3. Fraud, scams, and targeted manipulation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident Occurrence+1
Columbus man pleads guilty to cyberstalking exes, creating AI-generated obscene material of adults & children - Response
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Columbus man pleads guilty to cyberstalking exes, creating AI-generated obscene material of adults & children

Columbus man pleads guilty to cyberstalking exes, creating AI-generated obscene material of adults & children

justice.gov

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Ohio man becomes first to be convicted under new AI statute for sexually explicit images

Ohio man becomes first to be convicted under new AI statute for sexually explicit images

theguardian.com

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Columbus man pleads guilty to cyberstalking exes, creating AI-generated obscene material of adults & children
justice.gov · 2026
U.S. Attorney's Office Southern District of Ohio, United States Department of Justice post-incident response

Defendant is first in nation convicted of violating new Take It Down Act

COLUMBUS, Ohio -- James Strahler II, 37, of Columbus, pleaded guilty in U.S. District Court today to cybercrimes that included both real and AI-generated sexually expl…

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Ohio man becomes first to be convicted under new AI statute for sexually explicit images
theguardian.com · 2026

An Ohio man pleaded guilty on Tuesday to cybercrimes involving real and AI-generated "sexually explicit images", becoming what the Department of Justice claims is the first person convicted under a new federal AI statute.

James Strahler II,…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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