Cuestionario vinculado a una guía · Medio Nivel

El cuestionario sobre el escándalo del algoritmo de beneficios de cuidado infantil holandés

Prueba cómo el modelo de riesgo holandés utilizó la nacionalidad, por qué el daño provino de todo el sistema, no solo del algoritmo, y el vínculo de alto riesgo de la Ley de IA.

Rutas de guía relacionadasEscándalo del algoritmo de beneficios de cuidado infantil holandés
Pregunta 1 de 8

Which factor did the tax administration's risk classification model use that was found to be discriminatory?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. Which factor did the tax administration's risk classification model use that was found to be discriminatory?
    • The parent's income bracket
    • Non-Dutch nationality
    • The number of children in daycare
    • The childcare agency's size
  2. What did the Dutch Data Protection Authority conclude in 2020?
    • The model was lawful but poorly documented
    • Only the childcare agencies had broken the law
    • The algorithm had never been used
    • The processing of nationality and dual nationality data was unlawful and discriminatory
  3. What happened to parents labeled as acting with intent or gross negligence?
    • They were refused payment arrangements for their debts
    • They received extra allowance
    • Their files were automatically closed
    • They were given priority appeals
  4. What was the title of the December 2020 parliamentary inquiry report?
    • Xenophobic Machines
    • Sesgo de la máquina
    • Unprecedented Injustice
    • Fraud Signaling Facility
  5. What political consequence followed the scandal?
    • The tax administration was abolished
    • Prime Minister Mark Rutte's cabinet resigned in January 2021
    • The Netherlands left the EU AI Act negotiations
    • Childcare allowances were eliminated
  6. How can a feedback loop make a fraud risk model confirm its own bias?
    • Models automatically delete old data
    • Human reviewers always overrule the model
    • Random sampling removes all bias
    • Flagged groups get more scrutiny, more discrepancies are found, and those findings become training labels
  7. According to the guide, what actually caused the harm in the scandal?
    • The algorithm alone
    • The risk model combined with harsh recovery rules, a presumption of fraud, secrecy and weak appeals
    • Only the use of nationality, which would have been fixed by removing it
    • Fraud by the childcare agencies themselves
  8. How does the EU AI Act classify AI used to assess eligibility for public benefits?
    • As minimal risk with no obligations
    • As fully prohibited in all cases
    • As high risk
    • As outside the Act's scope