Incidente 57: El sistema australiano de evaluación automatizada de deudas emitió avisos falsos a miles de personas
Descripción: El sistema automatizado de evaluación de deudas del Departamento de Servicios Humanos de Australia (DHS) emitió avisos de deuda falsos o incorrectos a cientos de miles de personas, lo que dio lugar a demandas que duraron años y daños y perjuicios a los beneficiarios de la asistencia social.
Entidades
Ver todas las entidadesAlleged: Centrelink developed an AI system deployed by Australian Department of Human Services, which harmed Australian welfare recipients.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
57
AI Tangible Harm Level Notes
Notes about the AI tangible harm level assessment
The system in question does not meet the CSET definition for AI. It is likely purely and automation, or a rules-based system without machine learning components.
Notes (special interest intangible harm)
Input any notes that may help explain your answers.
Access to social welfare (a public service) was interfered with.
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
yes
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.
Unknown/unclear
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.
High
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.
No
Data Inputs
A brief description of the data that the AI system(s) used or were trained on.