Incidente 751: translated-es-SearchGPT Reportedly Misleads Users with Incorrect Festival Dates in Demo
Descripción: translated-es-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
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translated-es-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…
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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 de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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