Descripción: AI work assistants, such as Copilot for Microsoft 365 and Gemini for Google Workspace, are proving to be more labor-intensive than anticipated for enterprises. CIOs report that these AI tools struggle with outdated or inaccurate data, leading to incorrect outputs. Companies are finding they must invest heavily in data management to ensure reliability. This added effort has led to delays in deployment and frustration, as businesses work to maximize the potential of these expensive AI tools.
Entidades
Ver todas las entidadesAlleged: Microsoft y Google developed an AI system deployed by CIOs , Enterprise teams y Companies in general, which harmed CIOs , Enterprise teams , Companies in general y Microsoft Copilot users.
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
Artificial intelligence work assistants were designed to provide businesses a relatively easy avenue into the cutting edge technology. It isn't quite turning out that way, with chief information officers saying it requires a heavy internal …
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.