Application of artificial intelligence in monitoring and performance evaluation of civil servants in the republic of Kazakhstan

This article examines the practices and prospects of applying artificial intelligence (AI) technologies in the monitoring and analysis of civil servants’ performance in the Republic of Kazakhstan. In the context of active digitalization of the public sector, AI is becoming a key tool for enhancing transparency, objectivity, and effectiveness in administrative processes. The aim of the study is to analyze the current opportunities for implementing AI in the evaluation of public personnel and to identify the conditions that enable effective realization of such approaches. The paper emphasizes institutional, technological, legal, and ethical barriers: the lack of monitoring standards, underdeveloped regulatory frameworks, shortage of qualified specialists, limited data access, and high implementation costs. The scientific novelty lies in the development of an original effectiveness assessment formula (E), which integrates both traditional KPI indicators and qualitative metrics derived from AI analysis. The practical significance of the study lies in the potential to use the proposed model for automated evaluation of competencies, motivation, potential, behavior, and performance outcomes of civil servants. The proposed system can be applied in procedures such as attestation, self-assessment, and monitoring, contributing to a more fair, adaptive, and transparent HR policy. The results support the development of approaches to the digital transformation of public service and can be used in reforming performance evaluation mechanisms.

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