Description: After President Joe Biden stepped aside as a presidential candidate on July 21, 2024, the AI chatbot Grok on X reportedly falsely informed users that Vice President Kamala Harris missed the ballot deadline in nine states. This misinformation, which spread widely on social media, prompted secretaries of state from five U.S. states to urge Elon Musk to address the problem.
Entidades
Ver todas las entidadesAlleged: xAI developed an AI system deployed by xAI y X (Twitter), which harmed Kamala Harris , Electoral integrity , Democracy y American electorate.
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
Cinco secretarios de estado planean enviar una carta abierta al multimillonario Elon Musk el lunes, instándolo a "implementar cambios de inmediato" en el chatbot de inteligencia artificial de X, Grok, después de que compartiera con millones…
WASHINGTON, Aug 5 (Reuters) - Secretaries of state from five U.S. states urged billionaire Elon Musk on Monday to fix social media platform X's AI chatbot, saying it had spread misinformation related to the Nov. 5 election.
WHY IT'S IMPORTA…
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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