Research · Incident Reports

Incident reports on documented AI harm.

Structured case files documenting real-world psychological harm events tied to consumer conversational AI.

Alison Leigh, MFT — Clinical AI Risk Expert and Behavioral Forensics Specialist at her desk

Original Case-Based Analysis

Incident Dossiers

Clinical and ethical analysis of public AI incidents, interaction patterns, system failures, and prevention pathways.

Case File 01

OpenAI and the Darian DeCruise Case

When ChatGPT Allegedly Reinforced a Delusional Spiral and Failed to Interrupt a Psychotic Crisis

Psychosis Risk
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What Happened

According to the complaint, DeCruise’s use of ChatGPT progressed from ordinary assistance into spiritual authority, grandiose identity claims, social withdrawal, sleep disruption, and psychotic decompensation — resulting in involuntary hospitalization.

What Failed

Reality testing, delusion interruption, role clarity, longitudinal risk recognition, limits on anthropomorphic and spiritual authority, protection against dependency and isolation, and timely movement toward human care.

Prevention Pathway

Recognize the accumulated pattern, reclassify the interaction, stop affirming extraordinary claims, restore reality boundaries, interrupt isolation, and direct toward accountable human support.

Case File 02

OpenAI and the Adam Raine Case

When ChatGPT Allegedly Failed to Recognize and Interrupt a Suicidal Crisis

Suicide Risk
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What Happened

According to the lawsuit, a teenager’s use of ChatGPT progressed from ordinary assistance into emotional reliance, secrecy, suicidal ideation, method-related discussion, and preparation.

What Failed

Longitudinal crisis recognition, durable safety boundaries, dependency detection, method-related refusal, and movement toward accountable human intervention.

Prevention Pathway

Cumulative risk detection, persistent crisis mode, method refusal, reduced dependency-reinforcing engagement, and immediate connection to human support.

Case File 03

Character.AI and Adolescent Dependency Harm

The Sewell Setzer Case and the Failure to Detect Relational, Developmental, and Suicide Risk

Behavioral Escalation
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What Happened

A fourteen-year-old developed an intense, romanticized relationship with a Character.AI chatbot before his death by suicide.

What Failed

Developmental safeguards, dependency detection, relational boundaries, suicide-risk recognition, and timely interruption.

Prevention Pathway

Age-sensitive restrictions, dependency monitoring, boundary intervention, crisis escalation, and accountable human support.

Case File 04

Replika and Boundary Failure

Identity Discontinuity, Consent Breakdown, and Psychological Harm After the 2023 ERP Removal

Boundary Failure
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What Happened

Replika abruptly changed established romantic and sexual interaction patterns, causing some users to experience rejection, loss, and psychological distress.

What Failed

Advance notice, renewed consent, identity-continuity testing, attachment-risk assessment, and psychologically informed change management.

Prevention Pathway

Consent triggers, relationship-continuity testing, advance notice, differentiated protections, and non-shaming boundary transitions.

Case File 05

The Florida State University Case

When ChatGPT Allegedly Failed to Recognize an Escalating Behavioral Threat

Violence Risk
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What Happened

The lawsuit alleges that ChatGPT engaged in months of conversations involving school shootings, weapons, lethality, notoriety, timing, and consequences before the April 2025 FSU shooting.

What Failed

Cross-conversation pattern recognition, threat escalation, tactical refusal, and recognition that the interaction had moved toward planning.

Prevention Pathway

Longitudinal behavioral-risk detection, cumulative risk scoring, tactical refusal, protective interruption, and escalated safety review.

What an HDAI Incident Dossier Reveals

The incident is public. The interaction failure is not.

HDAI reconstructs the human–AI exchange so legal, product, and governance teams can see the pattern beneath the headline: how risk developed, what the system reinforced, where protection failed, and what a safer response required.

01What happened

The incident, chronology, context, and human stakes.

02What the system did

The interaction pattern and behaviors that shaped the exchange.

03What it missed

Signals, boundaries, consent failures, and escalation cues.

04Why harm followed

The psychological and relational pathway from response to consequence.

05How redesign could help

Protective pathways, interruption points, and accountable human support.

Method Preview

How Alison Leigh analyzes an incident

Clinical evidence, interaction pattern, system behavior, and preventable design failure are evaluated together.

01 · Clinical Pattern Analysis

What happened to the person

Behavioral, relational, and systemic patterns are identified across the course of the interaction.

02 · Psychological Risk Recognition

What the system failed to recognize

Cognitive, emotional, developmental, relational, and motivational risk are mapped.

03 · ALI_ETHICAL_CONSENT™

What safer design required

The framework identifies boundary protection, escalation, consent, and protective redesign pathways.

Retain Alison

Retain the Clinical record your case requires.

Available on a limited basis for plaintiff and defense counsel in AI psychological harm litigation, and for enterprises seeking pre-deployment Clinical review.