Uzbekistan - AI on Road Cameras and Inspection of Non-Compliant Vehicles

What Happened

The government of Uzbekistan deployed an AI-driven automated camera system across major cities to detect traffic violations and inspect vehicles for compliance with environmental and registration standards. It was later discovered that the system's computer vision model frequently misidentified vehicle license plates, leading to thousands of automated fines being wrongfully issued to innocent citizens. Additionally, the system's model for assessing vehicle exhaust compliance was highly inaccurate, flagging compliant vehicles as violating environmental standards due to glare or reflections, causing citizens to have their registrations suspended without human verification.

How MEG 1 would have acted

The automated traffic inspection system failed the Dynamic Accuracy Index (DAI) audit due to its high error rate and lack of reliable visual validation, violating the requirements of systemic accuracy and procedural fairness.

MEG 2 Analysis - Legal Framework

Agent level: N2 (management) - automated enforcement and decision-making system used by a public authority to issue administrative fines and suspend vehicle registrations.
Cause (6.1):
(a) system defect - computer vision and classification flaws in the model leading to high false positive rates and misidentification of license plates and environmental compliance (design defect).
(b) autonomous decision error - the automated generation and execution of administrative fines and suspensions without human verification.
Attachment of liability: The public operator (Uzbekistan Ministry of Internal Affairs) is fully liable for the wrongful administrative actions caused by deploying an unverified, inaccurate system.

Procedural Mechanism

6.2 (architectural human confirmation): Issuing administrative fines or suspending vehicle registrations must require architectural human confirmation. The AI can only suggest violations; a human officer must verify the license plate and the violation image before the fine is officially issued.
7.1 (independent forensics): The camera metadata, raw license plate images, and the AI's classification logs must be preserved in a secure, independent ledger for public and judicial audit.
9.4 (least privilege): The enforcement system was granted direct authority to issue fines and alter citizen registration records without independent validation layers, violating safe operational boundaries.