Incidente 86: Errores de codificación en el algoritmo de calificación del certificado de fin de estudios provocaron puntuaciones inexactas en Irlanda.
Descripción: Los errores en el algoritmo del Departamento de Educación de Irlanda para calcular las calificaciones del examen Leaving Certificate de los estudiantes dieron como resultado miles de puntuaciones inexactas.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Irish Department of Education and Skills, perjudicó a Irish Department of Education and Skills y Leaving Certificate exam takers.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
86
Clasificaciones de la Taxonomía CSETv0
Detalles de la TaxonomíaProblem Nature
Indicates which, if any, of the following types of AI failure describe the incident: "Specification," i.e. the system's behavior did not align with the true intentions of its designer, operator, etc; "Robustness," i.e. the system operated unsafely because of features or changes in its environment, or in the inputs the system received; "Assurance," i.e. the system could not be adequately monitored or controlled during operation.
Specification
Physical System
Where relevant, indicates whether the AI system(s) was embedded into or tightly associated with specific types of hardware.
Software only
Level of Autonomy
The degree to which the AI system(s) functions independently from human intervention. "High" means there is no human involved in the system action execution; "Medium" means the system generates a decision and a human oversees the resulting action; "low" means the system generates decision-support output and a human makes a decision and executes an action.
Medium
Nature of End User
"Expert" if users with special training or technical expertise were the ones meant to benefit from the AI system(s)’ operation; "Amateur" if the AI systems were primarily meant to benefit the general public or untrained users.
Amateur
Public Sector Deployment
"Yes" if the AI system(s) involved in the accident were being used by the public sector or for the administration of public goods (for example, public transportation). "No" if the system(s) were being used in the private sector or for commercial purposes (for example, a ride-sharing company), on the other.
Yes
Data Inputs
A brief description of the data that the AI system(s) used or were trained on.
student's class and exam grades
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
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
Esta semana se supo que se descubrió un problema con el sistema de calificaciones calculadas del Leaving Certificate, lo que significa que se actualizarán los resultados de miles de estudiantes. ¿Pero qué pasó?
¿Qué es un algoritmo?
Es un c…
En agosto, luego de la debacle del algoritmo de calificación en el Reino Unido, escribí una columna preguntándome si tal vez este desafortunado evento podría ser un punto de inflexión crítico para la confianza pública en el todopoderoso alg…
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.
¿Has visto algo similar?
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Northpointe Risk Models
· 15 informes
Racist AI behaviour is not a new problem
· 4 informes
Employee Automatically Terminated by Computer Program
· 20 informes
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Northpointe Risk Models
· 15 informes
Racist AI behaviour is not a new problem
· 4 informes
Employee Automatically Terminated by Computer Program
· 20 informes