Descripción: An independent report found that the Vera-2R tool, designed to predict the risk of future terrorist activities, considered autism as a risk factor despite lacking empirical evidence to support this claim. The report called into question the tool's overall validity and reliability, stating it was "extremely poor" at accurately predicting risk. The inclusion of autism as a risk factor had potentially serious implications for the tool's use and credibility.
Entidades
Ver todas las entidadesAlleged: Unspecified developed an AI system deployed by New South Wales Government y Australian Federal Government, which harmed people with autism , lawyers and other experts who were not informed of the tool's limitations , Individuals assessed as high-risk based on the flawed criteria y General public.
Estadísticas de incidentes
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
Informes del Incidente
Cronología de Informes
Una herramienta diseñada para predecir delitos futuros en delincuentes terroristas los consideraba en mayor riesgo de delinquir si eran autistas a pesar de no tener base empírica para hacerlo, según un informe independiente.
El informe sobr…
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.
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents