Description: On April 4, 2024, X's AI chatbot Grok generated a false headline claiming "Iran Strikes Tel Aviv with Heavy Missiles," which was then promoted on X's trending news section. This misinformation, fueled by user spamming of fake news, falsely indicated a serious international conflict. The incident highlighted significant risks associated with relying on AI for content curation and demonstrated the potential for widespread dissemination of harmful misinformation.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por X (Twitter), perjudicó a X (Twitter) users , Israelis , Iranians y General public.
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
A shocking story was promoted on the "front page" or main feed of Elon Musk's X on Thursday:
"Iran Strikes Tel Aviv with Heavy Missiles," read the headline.
Captured trending on X on April 4, 2024. Credit: Mashable screenshot
This would c…
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.
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