AI in Russia to Cut Reporting Burden
Pilot practices from the Moscow Region are to be rolled out across 44 federal agencies.
Artificial intelligence in Russia is set to reduce the volume of government reporting, Moscow Region Governor Andrey Vorobyov said. He noted that the regional experiment has been positively assessed at the federal level and will now be extended to 44 federal agencies.
The initiative is intended to eliminate data duplication across different government databases. The Moscow Region has proposed introducing unified digital dashboards – a single portal with shared information that can be used by multiple agencies. The move could save up to 3.5 million working hours per year.
AI in Public Service
As Andrey Vorobyov noted, neural networks are already reviewing citizens’ applications in the Moscow Region. Over the past year, more than 1 million documents have been processed across 233 public services.
In total, the region is running 42 AI projects – including in Bezopasny Gorod (Safe City) camera systems that detect violations on the streets, in sports and fitness centers where AI assesses facility occupancy, and in schools, where AI monitors catering and compliance with sanitary standards.
Next year, another 30 projects are planned, including in healthcare, education, and public services. According to Vorobyov, this will help free up time so that “doctors treat, and teachers teach.”
