Descripción: On July 13th, 2024, a user reported an incident involving PayPal's generative AI chatbot. The chatbot allegedly incorrectly informed the user of a declined transaction that never occurred, causing confusion and prompting a call to customer service for clarification. This false alert suggests a flaw in the AI system's reliability. The incident created unnecessary labor for both the user and PayPal's human support, demonstrating the potential harm of deploying generative AI without thorough testing and error handling mechanisms.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por PayPal, perjudicó a Kiri Wagstaff , PayPal customer service representatives y PayPal customers.
Estadísticas de incidentes
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
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
The other day, I couldn't find some information I needed on the PayPal site, so I engaged with their generative AI chatbot. Before I could type anything, it launched in with this comment:
Hi Kiri!
I'm your PayPal Assistant and always here…
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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