AIPolicyTracker

AI incident ·

AI incident: sexual content (Apr 2022)

18 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Deepfake Technology Developers and deployed by Deepfake Creators allegedly harmed Voters In Northern Ireland, Epistemic Integrity and 3 others.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
18 reportsMay 2022 - Dec 2025

What happened

Sometime in April 2022, reportedly some weeks before the May 5, 2022 Northern Ireland Assembly election, Member of the Legislative Assembly Cara Hunter was targeted in a deepfake pornography incident. A fake video depicting her in explicit scenarios is reported to have circulated widely on WhatsApp. Law enforcement have as of yet been unable to trace the origins of the video, according to reports. Additionally, it is alleged that about six months after the initial incident, she was the target of

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 (18)

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

  1. Deepfake porn is political violence
    politico.eu · Mark Scott
  2. How a deepfake almost ruined my political career
    ted.com · Cara Hunter, TEDAI Vienna
  3. UK moves to criminalize non-consensual deepfake porn
    the-decoder.com · Matthias Bastian

Who was involved

Alleged deployer
Deepfake Creators
Alleged harmed party
Voters In Northern Ireland, Epistemic Integrity, East Londonderry Constituents, Cara Hunter, Democratic Integrity

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
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

Other incidents involving Deepfake Creators

Source record: incident #903 on the AI Incident Database · all 18 reports