Description: OpenAI’s prototype AI tool, SearchGPT, provided incorrect dates for An Appalachian Summer Festival in Boone, North Carolina during a demonstration video. The AI listed dates that were incorrect, potentially misleading users planning to attend the event, but also harming the reputation of OpenAI as the incident occurred during a high-profile event.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por OpenAI, perjudicó a OpenAI y An Appalachian Summer Festival attendees.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
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
Informes del Incidente
Cronología de Informes
Whenever AI companies present a vision for the role of artificial intelligence in the future of searching the internet, they tend to underscore the same points: instantaneous summaries of relevant information; ready-made lists tailored to a…
SAN FRANCISCO --- Un motor de búsqueda largamente esperado que está siendo desarrollado por el creador de ChatGPT está lejos de estar listo para reemplazar a Google, según entrevistas con personas que tuvieron acceso a la herramienta, video…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.