Descripción: Brookdale Senior Living's algorithm-based staffing system, "Service Alignment," reportedly left facilities understaffed, leading to critical incidents. For example, on April 21, 2021, Louise Walker, a resident at Brookdale's Jacksonville facility, died after falling and being left unattended for over two hours. State investigators cited Brookdale for medical neglect. The algorithm has been linked to multiple incidents of neglect, injuries, and deaths, prompting lawsuits.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Brookdale Senior Living, perjudicó a Louise Walker , Residents of Brookdale facilities , Families of residents of Brookdale facilities y Staff members of Brookdale facilities.
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
Intentional
Informes del Incidente
Cronología de Informes
Two decades ago, a group of senior-housing executives came up with a way to raise revenue and reduce costs at assisted-living homes. Using stopwatches, they timed caregivers performing various tasks, from making beds to changing soiled brie…
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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