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AI incident: sexual content (Dec 2025)

5 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Deepfake Technology Developers and deployed by Christian Ulmen allegedly harmed Epistemic Integrity and Collien Fernandes.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
5 reportsMar 2026 - Aug 2026

What happened

Collien Fernandes, a German television presenter and actor, accused her former husband, Christian Ulmen, of carrying out a years-long online impersonation campaign that allegedly used fake accounts and AI-generated pornographic deepfakes resembling her. The allegations include sexually explicit synthetic images and videos presented as if they were hers, while Ulmen's lawyer reportedly denied the claims and said he would take legal action over the reporting.

Laws that address this harm

Policy angle: Classified under Malicious Actors & Misuse (Fraud, scams, and targeted manipulation) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (5)

Titles link to the original publisher; report text is not reproduced here.

  1. "My body was stolen from me": Collien Fernandes denounces ex-husband Christian Ulmen
    bluewin.ch · blue News
  2. Collien Fernandes erhebt schwere Vorwürfe gegen Christian Ulmen
    zeit.de · Johannes Süßmann, Carolina Graef Alarcón, Eric Voigt
  3. La denuncia en España de una actriz a su exmarido por enviar ‘deepfakes’ sexuales sacude a Alemania
    elpais.com · Almudena de Cabo
  4. German deepfake porn case sparks protests and pressure for change in law
    reuters.com · Miranda Murray
  5. Someone Was Impersonating Her in Online Affairs. She Says It Was Her Husband.
    nytimes.com · Susan Dominus

Who was involved

Alleged deployer
Christian Ulmen
Alleged harmed party
Epistemic Integrity, Collien Fernandes

Classification (MIT AI Risk Repository taxonomy)

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

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

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • Misinformation and Manipulation

    "Recent studies have demonstrated that LLMs can be exploited to craft deceptive narratives with levels of persuasiveness similar to human-generated content (Pan et al., 2023b; Spitale et al., 2023), to fabri- cate fake n...

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

  • 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)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1432 on the AI Incident Database · all 5 reports