Description: Several major universities are using a tool that uses race as one factor to predict student success.
Entidades
Ver todas las entidadesAlleged: EAB developed an AI system deployed by University of Massachusetts Amherst , University of Wisconsin–Milwaukee , University of Houston , Texas A&M University , Georgia State University y more than 500 colleges, which harmed Black college students , Latinx college students y indigenous students.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
99
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
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
Las principales universidades están utilizando la raza de sus estudiantes, entre otras variables, para predecir la probabilidad de que abandonen la escuela. Los documentos obtenidos por The Markup a través de solicitudes de registros públic…
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
Machine Bias - ProPublica
· 15 informes
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Machine Bias - ProPublica
· 15 informes