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AI incident #1439 ·

Former New Orleans Isidore Newman School Teacher Allegedly Used AI to Create Fake Nude Images from Social Media Photos of Girls, Including Students

Open on the AI Incident Database 3 news reports Synced from the AIID API · record last edited 6 Sep 2026

What happened

Louisiana authorities alleged that former Isidore Newman School teacher Benoit Cransac used an online AI platform to alter social media photos of girls and generate fake nude images, including collages. Local reports said he was rearrested on 60 unlawful-deepfake charges, and that investigators believed some depicted girls from the New Orleans area, with later coverage referring to teenage girls and students.

Only the incident metadata is stored here. The underlying news reports are on the AI Incident Database (CC BY-SA 4.0); use the links above to read them.

News reports (3)

Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.

  1. Newman School teacher arrested on suspicion of possessing child sexual abuse material
    fox8live.com · FOX 8 Staff · AIID #7101
  2. Former New Orleans teacher accused of using AI to make fake nude images from social media photos
    fox8live.com · Jesse Brooks, Gabby Killett, FOX 8 Staff · AIID #7099
  3. New Orleans teacher previously arrested in child sex abuse investigation now facing new deepfake charges
    wdsu.com · Erin Lowrey · AIID #7100

Who was involved

Alleged harmed party
Women and girls Victims of non-consensual deepfakes Victims of deepfake child abuse Victims of deepfake abuse Students Privacy Minors Isidore Newman School community Girls from New Orleans Girls Epistemic integrity Educational communities
On AIID: Women and girls, Victims of non-consensual deepfakes, Victims of deepfake child abuse, Victims of deepfake abuse, Students, Privacy, Minors, Isidore Newman School community, Girls from New Orleans, Girls, Epistemic integrity, Educational communities

AI systems implicated

Synthetic media generation technologySynthetic image generation technologyDeepfake technology

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
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Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Domain-Specific Misuses

    "Improvements in LLMs may exert greater pressure to apply LLMs to various domains, such as health and education (Eloundou et al., 2023). Crude efforts to use LLMs in such domains, however, may incur harm and should be di...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Linked by AIID editors or by its text-similarity model.

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