Dutch Families Wrongfully Accused of Tax Fraud Due to Discriminatory Algorithm

September 1, 2018

An algorithm-based childcare benefits system in the Netherlands has incorrectly flagged thousands of families for potential fraud, with second nationality serving as a risk factor. This incident underscores the need for trustworthy AI, responsible governance, and effective harm prevention mechanisms in AI systems.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.673, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.669, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.664, rank 3. TAIM detail and related incidents →

Alleged deployer: dutch-tax-authority
Alleged developer: unknown
Alleged harmed parties: dutch-tax-authority, dutch-families

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/101

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

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