Public management of digital transformation of communities: Integrating artificial intelligence into local development strategies

The relevance of the topic of digital transformation in local self-government through the use of technologies, including artificial intelligence, is growing due to the need to improve the efficiency of management processes and services for citizens in many countries worldwide. The aim of the work was to analyze the implementation of digital solutions in local government management, specifically the application of artificial intelligence to optimize administrative and social processes. The study employed a multi-method qualitative approach, including case studies and a literature review. The results showed that the integration of technologies into local governance significantly enhances the effectiveness and transparency of public services, facilitating citizens' access to them through online platforms and mobile applications. By analyzing technical, social, and institutional barriers, key obstacles to the implementation of e-government services, particularly among vulnerable groups, were identified. The findings confirmed that insufficient digital literacy, accessibility issues, and fragmented management structures remain critical obstacles to achieving full digital inclusion. At the same time, widespread citizen engagement and effective data management, particularly within predictive models based on artificial intelligence, hold significant potential for building resilient "digital" communities. An analysis of the experience of Singapore, Mexico, and other countries actively applying digital innovations confirmed that the use of big data and artificial intelligence in public administration improves resource management, reduces corruption, and increases citizen participation in decision-making processes. One important aspect identified was digital inclusion and the need to bridge the digital divide to ensure equal access to e-government for all social groups. The practical value of the work lies in proposals for adapting innovative technologies to improve management processes and enhance the effectiveness of local administrations based on real case studies