Auto-Insurance Photo-Based Estimation Allegedly Gave Inaccurate Repair Prices Frequently

April 13, 2021

Auto-insurance companies' photo-based repair price estimation, a key aspect of safe and secure AI practices, is under scrutiny. Repair shop owners and industry groups allege that these estimates are frequently inaccurate, resulting in damaged cars staying in the shop longer.

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

MEASURE 2.6 — similarity 0.705, rank 1. TAIM detail and related incidents →
MAP 3.2 — similarity 0.693, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.670, rank 3. TAIM detail and related incidents →

Alleged deployer: insurance-companies
Alleged developer: ccc-information-services, tractable
Alleged harmed parties: vehicle-repair-shops, vehicle-owners

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/345

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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