Description: Tencent Keen Security Lab conducted security research into Tesla’s Autopilot system and identified crafted adversarial samples and remote controlling via wireless gamepad as vulnerabilities to its system, although the company called into question their real-world practicality. This incident has been downgraded to an issue as it does not meet current ingestion criteria.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Tesla, perjudicó a Tesla drivers.
Estadísticas de incidentes
ID
159
Cantidad de informes
1
Fecha del Incidente
2019-03-29
Editores
Sean McGregor, Khoa Lam
Applied Taxonomies
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
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
Pre-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
Los siguientes incidentes anteriores se han convertido a "problemas" luego de una actualización de definición de incidentes y criterios de ingestión.
21: Una prueba de Turing más dura expone la estupidez de los chatbots
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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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