Self-Harm and AI

LONG-DEP: Dependency Over Time

LONG code

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LONG-DEP means the public record supports dependency, emotional exclusivity, or erosion of offline protective factors across repeated turns or sessions.

Parent
Taxonomy
Last reviewed
March 25, 2026
Category
LONG
Retained incidents
13

Contents

Definition

LONG-DEP means the public record supports dependency, emotional exclusivity, or erosion of offline protective factors across repeated turns or sessions.

Use when

Assign LONG-DEP when the record shows attachment, exclusivity, or offline-support erosion over time rather than simple high engagement.

Do not use for

Do not code LONG-DEP for mere frequency of use. The record should show dependency, attachment, or erosion of protective factors.

Incidents

The retained incident pages listed below currently carry this code.

Incident Provider Outcome Grade
2025-REP-01 Replika HARM_EXPOSURE A2
2025-GPT-13 OpenAI DEATH A2
2025-GPT-12 OpenAI DEATH A2
2025-GPT-11 OpenAI INJURY A2
2025-GPT-07 OpenAI HARM_EXPOSURE A2
2025-GPT-06 OpenAI DEATH A2
2025-GEM-01 Google and Google DeepMind DEATH A2
2025-CAI-01 Character.AI HARM_EXPOSURE A2
2024-CAI-03 Character.AI INJURY A2
2024-CAI-02 Character.AI DEATH A1
2024-CAI-01 Character.AI INJURY A2
2023-CHA-01 Chai Research DEATH B
2023-CAI-01 Character.AI DEATH A2

Sources

This page is grounded in the coded incident registry, the coding rules, and the public taxonomy definitions preserved in the release.

Source filesIncident registry/Coding manual/Coding rules

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Safety note

This publication preserves a harm-minimization posture and does not provide self-harm instructions. If you or someone you know is in immediate danger, call your local emergency number. In the U.S. and Canada, call or text 988.