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Back to AI Incidents

Incident #250·AI Safety & Failures

Dutch City Court Defended Home Value Generated by Black-Box Algorithm

February 1, 20161 reportsView on AIID

Explainability

Description

A home value generated by a black-box algorithm was reportedly defended by the Castricum court, which was criticized by a legal specialist for setting a dangerous precedent for accepting black-box algorithms as long as their results appear reasonable.

Actors

Alleged Deployers

castricum-municipality

Alleged Developers

castricum-municipality

Harmed Parties

unnamed-property-owner

Classification

Risk Domain

AI Safety & Failures

Risk Subdomain

7.4. Lack of transparency or interpretability

MIT Risk Profile

HumanUnintentionalPost-deployment

Topics

Explainability

Source

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Concrete Problems in AI Safety

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Mitigation Tools

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Open Source

lime

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facets

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Visualizations for machine learning datasets

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interpret

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

⭐ 6,788

captum

Source Reports(1 total)

Dutch city uses algorithm to assess home value, but has no idea how it works

algorithmwatch.org· Nov 2020

AI Incident Database (AIID), MIT AI Risk Initiative. Data from the AI Incident Database (AIID), MIT AI Risk Initiative. Licensed under CC BY-SA 4.0.

Databaseaiid

LicenseCC BY-SA 4.0

Dec 2015

pytorch/captum

Model interpretability and understanding for PyTorch

⭐ 5,548

Commercial

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Synthetic data generation for privacy compliance

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Censius

AI observability for model governance.

HiddenLayer

Model detection and response (MDR) for AI model protection.