Incidente 1487: Se alega que ChatGPT ayudó a planificar el tiroteo masivo en la Universidad Estatal de Florida.
Respondido
Descripción: El 17 de abril de 2025, un tiroteo en la Universidad Estatal de Florida dejó muertos a Tiru Chabba y Robert Morales, e hirió a otras personas. Phoenix Ikner, el presunto autor del tiroteo, se declaró inocente. En 2026, familiares y abogados de las víctimas alegaron que Ikner utilizó ChatGPT antes del ataque para hablar sobre tiroteos masivos, armas de fuego, actividades en el campus y la atención de los medios, y que OpenAI no detectó ni intensificó dichas conversaciones. OpenAI negó su responsabilidad.
Editor Notes: Timeline notes: (1) 04/17/2025: The FSU shooting occurred. (2) Early April 2026: Local reporting first surfaced planned litigation alleging ChatGPT involvement. (3) 04/09/2026: Florida's attorney general publicly announced an investigation into OpenAI and ChatGPT. (4) 05/10/2026: A federal lawsuit was filed alleging OpenAI liability. (5) 05/13/2026: The incident ID was created.
Entidades
Ver todas las entidadesAlleged: OpenAI developed an AI system deployed by Phoenix Ikner y OpenAI, which harmed Tiru Chabba's family , Tiru Chabba , Robert Morales's family , Robert Morales , Florida State University shooting victims , Florida State University campus community , Students , University students y Educational communities.
Sistemas de IA presuntamente implicados: OpenAI safety and abuse-monitoring systems y ChatGPT
Estadísticas de incidentes
ID
1487
Cantidad de informes
46
Fecha del Incidente
2025-04-17
Editores
Daniel Atherton
Applied Taxonomies
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.2. Cyberattacks, weapon development or use, and mass harm
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional