Description: An AI program named REACH VET, designed and used by the Department of Veterans Affairs (VA) to prevent veteran suicides, was reportedly found to prioritize white men while neglecting female veterans and survivors of military sexual trauma. This oversight persists despite rising suicide rates among these groups. The incident is an example of algorithmic bias and the exclusion of critical risk factors for female veterans.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Department of Veterans Affairs (VA), a endommagé Veterans , Survivors of military sexual trauma et Female veterans.
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.1. Unfair discrimination and misrepresentation
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.
- Discrimination and Toxicity
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
Unintentional