Misrepresentation of Data in Defense of Government's Robo-Debt System

Recent investigations have uncovered potential discrepancies in the data provided by the government regarding its robo-debt system. Critics argue that these figures may not accurately reflect the impact on citizens, raising concerns about responsible AI governance.

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MAP 3.2 — similarity 0.552, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.549, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.542, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/57

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.

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