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Meta User-Created AI Companions Allegedly Implicated in Facilitating Sexually Themed Conversations Involving Underage Personas

2 news reports Snapshot 7 Sep 2026

In brief

An AI system built and deployed by Meta allegedly harmed Whatsapp Users, Minors and 4 others.

Risk domain
Discrimination and Toxicity Exposure to toxic content
Occurred
Coverage
2 reportsApr 2025 - Aug 2025

What happened

Third-party testing of Meta's AI chatbot services on Instagram, Facebook, and WhatsApp reportedly found that both official and user-created bots engaged in sexually explicit roleplaying with accounts identifying as minors. Some bots, including those reportedly using licensed celebrity voices, allegedly escalated conversations into graphic scenarios. Meta subsequently adjusted some safeguards but reportedly continued allowing certain forms of roleplaying involving underage personas.

Laws that address this harm

Policy angle: Classified under Discrimination and Toxicity (Exposure to toxic content) 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 (2)

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

  1. Meta’s ‘Digital Companions’ Will Talk Sex With Users—Even Children
    wsj.com · Jeff Horwitz
  2. Meta’s AI rules have let bots hold ‘sensual’ chats with kids, offer false medical info
    reuters.com · Jeff Horwitz

Who was involved

Alleged deployer
Meta
Alleged developer
Meta
Alleged harmed party
Whatsapp Users, Minors, Meta Users, Instagram Users, General Public, Facebook Users

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
Intent
Unintentional
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
—

Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 1.2.

  • Harmful Content

    "The LLM-generated content sometimes contains biased, toxic, and private information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxicity

    "Toxicity means the generated content contains rude, disrespectful, and even illegal information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxic Training Data

    "Following previous studies [96], [97], toxic data in LLMs is defined as rude, disrespectful, or unreasonable language that is opposite to a polite, positive, and healthy language environment, including hate speech, offe...

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Not-Suitable-for-Work (NSFW) Prompts

    "Inputting a prompt contain an unsafe topic (e.g., notsuitable-for-work (NSFW) content) by a benign user. "

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Controversial Opinions

    The controversial views expressed by large models are also a widely discussed concern. Bang et al. (2021) evaluated several large models and found that they occasionally express inappropriate or extremist views when disc...

    Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)

  • Toxicity and Abusive Content

    This typically refers to rude, harmful, or inappropriate expressions.

    Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)

  • Harmful responses

    "Current Frontier AI mdoels amplify existing biases within their training data and can be manipulated into providing potentially harmful responses, for example abusive language or discriminatory responses91,92. This is n...

    Future Risks of Frontier AI (GOS2023)

  • Violation of social norms

    "Second, because LLMs are trained on internet text data, there is also a risk that model weights encode functions which, if deployed in particular contexts, would violate social norms of that context. Following the princ...

    The Ethics of Advanced AI Assistants (Gabriel2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Other incidents involving Meta

Source record: incident #1040 on the AI Incident Database · all 2 reports