Incidente 893: Un agente de la policía estatal de Pensilvania presuntamente usó una computadora de trabajo para reproducir pornografía generada por inteligencia artificial.
Descripción: Un cabo de la Policía Estatal de Pensilvania, Stephen Kamnik, fue acusado por presuntamente utilizar una computadora de trabajo para almacenar miles de archivos pornográficos, incluido contenido creado con software de inteligencia artificial deepfake.
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El Monitor de Incidentes y Riesgos de IA de la OCDE (AIM) recopila y clasifica automáticamente incidentes y riesgos relacionados con la IA en tiempo real a partir de fuentes de noticias reputadas en todo el mundo.
Entidades
Ver todas las entidadesAlleged: Deepfake technology developers developed an AI system deployed by Stephen Kamnik, which harmed Victims whose images were manipulated y Pennsylvania State Police.
Sistema de IA presuntamente implicado: Deepfake technology
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
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.
- Discrimination and Toxicity
Entity
Which, if any, entity is presented as the main cause of the risk
Human
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
Intentional