Inaccurate Auto-Insurance Photo Estimates: A Threat to Safe and Secure AI?
April 13, 2021
Repair shop owners and industry groups claim that auto-insurance companies' photo-based repair price estimation can lead to inaccurate estimates, causing vehicles to stay in the shop longer. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help establish guardrails for responsible AI and prevent such harm? JOIN US
- 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
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.