AI Risk Wire

Cases › produced harmful content › LR-2026-0737

Louisiana man accused of AI sexual deepfakes of co-worker

Preliminary Why: Publisher not yet named · subject to change

Status: action reported, no fix

Severity moderate
Reported 28 Sep 2026

No source states: loss or records, developer and model, agent tool, could do, deployer, industry.

Severity moderate: test: data of another person (the co-worker's images) was touched, and the scope is bounded to her as the one affected person.

A Louisiana man is accused of using artificial intelligence to create nude images and a sexually explicit deepfake video of a female co-worker, then showing the material to her. The woman told police the sexual activity shown in the video never happened and that she never gave Gauthreaux permission to create nude or sexually explicit images or videos of her. She used her own phone to record what he showed her and later gave that evidence to police. Investigators said they found AI-generated nude images of her, along with other images showing her and the man in sexual situations. The Baton Rouge Police Department investigation began after she reported the allegations Sept. 8. Bennet Gauthreaux is accused of one felony count of unlawful deepfakes under Louisiana law. These are accusations in an arrest warrant, not findings of a court.

What happened

1 · What it was doingA man allegedly used artificial intelligence to create nude images and a sexual deepfake video of a female co-worker and showed them to her.
2 · What went wrongThe woman told police the sexual activity in the video never happened and she never gave permission for such images or videos.
3 · How it was caughtThe Baton Rouge Police Department investigation began after the woman reported the allegations.

What was done

The man faces a charge under Louisiana's unlawful deepfakes law, which he is accused of violating.

Risks

Manipulation and misinformation
Primary65 incidents
Harmful content and jailbreaks
Also84 incidents
Rising: 6 vs 3.8 a week

Sorted by rule from the case's fields; not yet read from the sources.

Controls

Not yet read for controls. Controls that mitigate the primary risk:

Model

Marking machine-made output · Abuse monitoring and account enforcement · Content safety classifiers

Application

People told they are dealing with AI

Infrastructure / target

Phishing and fraud filters

Evidence

No source states: what it reached or did, when it happened, when it was found, how many records were exposed, the direct loss, a count of the other parties affected, any court case, the cause, what set it off.

Show the full account: 2 items from the primary sources

What happened, in order

  1. 2023-08-01 Louisiana's unlawful deepfakes law took effect.
  2. Sept. 8 The woman reported the allegations to police, and the Baton Rouge Police Department investigation began.
Show every field, with its source and grade

What happened

Earliest source we hold
2026-09-28
D inferred by us from the described behaviour, reason shown
Who caught it
the victim
C one secondary source states it
What went wrong
produced harmful content
C one secondary source states it

Impact

Severity
moderate
D inferred by us from the described behaviour, reason shown
Why this severity
test: data of another person (the co-worker's images) was touched, and the scope is bounded to her as the one affected person.
D inferred by us from the described behaviour, reason shown

Context

Country
United States
C one secondary source states it

Notes on gaps

The article date and disclosure date are not stated in the text. All facts are accusations from an arrest warrant and press coverage, and the man is not shown to be convicted. The ordering of the deletion message relative to the report is not stated.

LR-2026-0737 · version 1 · published 2026-11-01 after automatic checks; not yet checked field by field by a person · JSON