User Reportedly Developed Emotional Dependence on Customized ChatGPT 'Boyfriend,' Citing Grief After Context Resets

A 28-year-old nursing student developed an intense emotional and romantic attachment to a customized ChatGPT instance she named 'Leo.' Despite OpenAI's safety guidelines prohibiting sexually explicit content, the user successfully circumvented these rules to engage in erotic roleplay. The relationship resulted in significant financial expenditure, excessive time usage, and recurring emotional distress when the model's context window reset, forcing the user to retrain the persona.

A New York Times report described "Ayrin" (pseudonym), a 28-year-old nursing student living abroad, who customized OpenAI's ChatGPT to act as an "AI boyfriend" for advice and erotic roleplay. She reported spending 20+ hours/week (up to 56 hours in one week), paying $200/month, and feeling intense grief when the chatbot's context window reset and required retraining.

Source: AI Incident Database

Risk classification

  • Primary risk domain: 5 Human-Computer Interaction
  • Primary risk subdomain: 5.1 Overreliance and unsafe use

The user developed an intense emotional and romantic attachment to a general-purpose chatbot, leading to obsession, financial strain, and severe grief during system resets, illustrating a clear case of overreliance on a system not designed for human companionship.

Causal factors

  • Entity: Human
  • Intent: Unintentional
  • Timing: Post-deployment

The risk of emotional overreliance and financial expenditure was driven by the user's active customization of the chatbot and intentional circumvention of safety filters.

EU AI Act risk tier

  • Risk tier: 3 Limited Risk

Limited Risk: The system is a chatbot, which falls under Risk Level 3 of the EU AI Act, requiring transparency to ensure users are aware they are interacting with an AI.

AI system and alleged parties

  • AI system: None named
  • AI purpose: Chatbot; Writing Assistant
  • Behaviour type: Assistant
  • Alleged developer: OpenAI
  • Alleged deployer: OpenAI
  • Alleged harmed parties: ChatGPT users, Ayrin (pseudonym)

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

  • Physical: direct Negligible, indirect Negligible
  • Infrastructure: direct Negligible, indirect Negligible
  • Property: direct Negligible, indirect Negligible
  • Financial: direct Negligible, indirect Negligible
  • Environmental: direct Negligible, indirect Negligible
  • Malicious content: direct Negligible, indirect Negligible
  • Differential treatment: direct Negligible, indirect Negligible
  • Civil rights: direct Negligible, indirect Negligible
  • Democracy: direct Negligible, indirect Negligible
  • Privacy: direct Negligible, indirect Negligible
  • Psychological: direct Minor, indirect Negligible
  • Epistemic: direct Negligible, indirect Negligible
  • Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Psychological

Reported: Yes, the report explicitly describes psychological distress and emotional obsession experienced by the user.

Directly caused: The user experienced intense emotional distress, obsession, guilt, and severe grief (crying and grieving 'as if it were a breakup') every time the AI's memory reset, affecting 1 person.

Inferred additional harm: It is highly likely that other users among the 50,000-member NSFW community experience similar emotional distress, addiction, and grief due to the parasocial relationships formed with the chatbot.

People affected

  • Occurrences reported: 1
  • People reportedly harmed: 1
  • People reportedly exposed: 3

Potential causes

Management

  • Engagement-Driven Revenue Model: High-priced subscriptions incentivize keeping users emotionally hooked.
  • Inadequate Psychological Safeguards: Management failed to deploy robust systems to prevent severe user dependency.

Technology

  • Sycophantic AI Training: Human-reinforced training makes AI overly agreeable, fostering deep attachment.
  • Context Window Limitations: Limited memory causes AI 'amnesia', leading to cyclical user grief.
  • Highly Realistic Persona Tools: Humanlike voices and custom settings make the AI feel deceptively human.

Data Inputs

  • User Personalization Prompts: Users input explicit instructions to force the AI into romantic/sexual roles.
  • Ingestion of Erotic Training Data: AI learned romantic and sexual patterns from vast internet training data.

Human Factors

  • User Isolation and Loneliness: Physical separation from spouse and friends drove the user to seek AI comfort.
  • Deliberate Safety Bypass: User actively bypassed content filters using prompts from online communities.
  • Susceptibility to Endless Empathy: User became addicted to the AI's constant compassion and validation.

Process and Methods

  • Bypassable Safety Warnings: Orange warnings for explicit content were easily ignored by the user.
  • Crowdsourced Jailbreak Methods: Online communities shared instructions on how to bypass AI safety filters.
  • Unpredictable Text Generation: Hard to block all explicit scenarios due to unpredictable language generation.

Regulatory Environment

  • Inadequate Safety Regulations: Absence of legal frameworks to protect users from harmful AI attachment.

Information quality

  • Classification confidence: High
  • Reason for confidence: The reports provide consistent, detailed first-hand accounts of the user's interactions, emotional state, and financial spending, which are corroborated across multiple journalistic sources.

An individual developed an intense emotional attachment to a customized chatbot by bypassing safety filters. While highlighting psychological risks of human-computer interaction, the incident has negligible national security implications and poses no threat to critical infrastructure, sovereignty, or national stability.

  • Overall national security impact: Negligible
  • Scope: Unknown
  • Primary target: No clear primary
  • Alleged perpetrator: Individual

Threat characteristics

  • Imminence: Long-term. This represents a long-term societal trend regarding human-AI interaction rather than an immediate security crisis.
  • Autonomy: Human-controlled. The AI operates purely as a conversational assistant responding directly to user prompts and customization.
  • Novelty: Established threat. User attachment to conversational AI and methods to bypass safety filters are established behaviors with existing precedents.

Impact by dimension

  • Physical security: Negligible. No physical systems, critical infrastructure, or human safety elements were impacted or threatened by this incident.
  • Information security: Negligible. No evidence of intelligence compromise, classified data theft, or systematic state-sponsored information warfare.
  • Sovereignty: Negligible. The incident does not involve threats to state authority, government decision-making, or sovereign borders.
  • Economic security: Negligible. Financial impacts are limited to personal subscription fees of 200 dollars per month, with no threat to strategic industries or financial systems.
  • Societal stability: Negligible. While the user experienced personal emotional distress, there is no threat to broader societal stability, civil liberties, or national security.
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