This artificial intelligence system automatically detects and labels errors or anomalies in spectrum licence site data submitted by wireless service providers to Innovation, Science and Economic Development Canada. The system uses machine learning to identify data quality issues that would traditionally require time-consuming manual review by government staff.
The system is designed to improve the accuracy, consistency, and speed of data validation for spectrum management and regulatory compliance. By automating anomaly detection, the system enables regulators to identify compliance issues more quickly and make better-informed decisions about spectrum allocation and management. This system is currently in development and does not involve the processing of personal information about individuals.
The system is used by Government of Canada employees who work in spectrum management and regulatory oversight. As a government-to-business system, it does not directly affect members of the public, but it supports the regulatory infrastructure that ensures fair and efficient management of Canada's wireless spectrum resources.
