Officials in the Khanty-Mansiysk Autonomous Okrug consider a neural network to assist in drafting laws
Officials in the Khanty-Mansiysk Autonomous Okrug are exploring the creation of a neural network that could support authorities in developing new legal acts. This initiative was reported by the regional press, referencing the deputy governor and ally of the administration, Pavel Tsiporin. The aim is to leverage artificial intelligence to streamline the legislative process and improve the quality of regulatory drafts.
The deputy governor highlighted a core responsibility of civil servants: to write and prepare regulations. He noted that a substantial volume of regulatory documents has been produced, which led to the hypothesis that training a neural network on the region’s existing regulations could assist in generating draft documents and suggesting modifications to current rules.
Tsiporin explained that the proposed neural network is in the early stages of development and will require time to train effectively. The plan is to begin testing the program in the fall of 2024, allowing officials to evaluate its capabilities before wider deployment.
There is a broader context in Russia where paid AI-based services have emerged in creative fields, including photography produced by neural networks. This trend demonstrates how machine learning tools are increasingly used to augment professional workflows and services, potentially influencing public administration as well.
In related coverage, a Kaspersky expert identified several notable shifts connected to artificial intelligence, pointing to ongoing changes in how technology reshapes everyday life and professional practice.