Description: UnitedHealthcare allegedly used a faulty AI algorithm with a 90% error rate to override doctors' recommendations and deny health coverage. This AI, developed by NaviHealth, reportedly led to premature discharge from care facilities and substantial out-of-pocket expenses for patients, according to a lawsuit filed in the District Court for Minnesota.
Entités
Voir toutes les entitésAlleged: NaviHealth developed an AI system deployed by UnitedHealthcare, which harmed Medicare Advantage Plan Patients , Healthcare Providers (Doctors and Therapists) et elderly patients.
Statistiques d'incidents
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
Human
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