Digital Ministry Proposes AI Experiment for Streamlining Government Recruitment and Document Management

The Ministry of Digital Development of Russia has proposed the integration of artificial intelligence and neural networks within government agencies to assist in resume screening, developing test tasks for candidates, and evaluating legislative proposals from the State Duma for errors. Additionally, these neural networks are expected to create content and respond to citizen inquiries, with the ministry already having planned an experiment to implement generative AI in public administration. This is detailed in a draft resolution published on the portal for legal acts.

According to the draft resolution, AI will be employed for processing documents, analyzing data, and managing standard citizen requests. The timeframe for this experiment remains unspecified.

Besides document handling and inquiries processing, the experiment will also involve assessing resumes of candidates for public service and creating test assignments for them. AI will be tasked with generating competency assessment exercises and analyzing resumes to determine the speed of initial compliance checks.

The document also suggests that neural networks will analyze legislative proposals from the State Duma for errors. This is intended to reduce the overall time taken to prepare legal acts and enhance employee satisfaction for those dealing with this content. Furthermore, AI will be responsible for generating news feeds for official websites while adhering to branding guidelines (colors, fonts, graphics) and detecting the themes of citizen inquiries.

The digital ministry believes that implementing neural networks and AI will decrease the labor intensity associated with correspondence handling and minimize errors while automatically verifying the authenticity of information, including content generated by AI.

However, the draft resolution explicitly excludes the use of neural networks for forecasting socio-economic processes. Moreover, AI will not process data classified as state secrets. Access to the systems mentioned in the document will be restricted to identified public servants through the Unified Identification and Authentication System (ESIA), with their positions confirmed.

The Ministry of Digital Development believes that the experiment will help reduce time spent on routine tasks for public servants, decrease the number of document errors, and improve the efficiency of public administration. A government commission on digital development will identify AI solution providers for the outlined tasks.