Incidente 239: translated-es-Algorithmic Teacher Evaluation Program Failed Student Outcome Goals and Allegedly Caused Harm Against Teachers
Descripción: translated-es-Gates-Foundation-funded Intensive Partnerships for Effective Teaching Initiative’s algorithmic program to assess teacher performance reportedly failed to achieve its goals for student outcomes, particularly for minority students, and was criticized for potentially causing harm against teachers.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Intensive Partnerships for Effective Teaching, perjudicó a students , low-income minority students y Teachers.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
239
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.3. Unequal performance across groups
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
El experimento de big data de la Fundación Gates no fue solo un fracaso. Hizo mucho daño.
La Fundación Gates merece crédito por contratar una firma independiente para evaluar su programa de $575 millones para hacer que los maestros de las e…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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