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Opaque Algorithm Used by Israeli Tax Authority for Fine Imposition: Highlighting the Need for Transparency in AI Governance

January 11, 2021

An incident involving an Israeli farmer being fined by a computer program underscores the importance of transparency and explainability in AI governance. The tax authority reportedly failed to explain the fine's calculation and refused to disclose the program's source code. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
Alleged deployer
israeli-tax-authority
Alleged developer
israeli-tax-authority
Alleged harmed parties
moshe-har-shemesh, israeli-people-having-tax-fines

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/137

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

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.