Local self-government digital transformation in the context of sustainable development: potential of artificial intelligence

Abstract

This article analyzes contemporary trends and challenges in the digital transformation of local self-government within the landscape of sustainable development, focusing on the potential of AI-based solutions for municipal and rural territories. The scope of research is determined by the fact that digital technologies and their intensive development influence the formation of not only new processes in management, but also the management relations of authorities and the population, generating open integration interaction between them. An interpretive, pragmatic and critical literature review methodology is employed to synthesize existing knowledge and identify key themes with practical implications. The findings demonstrate that AI applications in sustainable local governance establish new standards for urban and rural development by providing novel solutions to old and developing difficulties. However, the analysis also reveals that no one-size-fits-all solution exists; instead, a thorough evaluation of local needs, cultural settings, and potential problems is required. Adaptive tactics, rigorous data governance, and strong community relationships are essential for successful implementation.