The current stage of digital economy development is characterized by the rapid integration of artificial intelligence (AI) technologies into all spheres of social life, including higher education. Universities worldwide are actively incorporating AI into educational processes, scientific research, and administrative management, creating both new opportunities and complex challenges related to ethics, transparency, and governance. The aim of this study is to develop and systematize ethical and governance models for the implementation of artificial intelligence in higher education systems, taking into account international experience and the regional specifics of Central Asian countries. The research adopts an interdisciplinary approach that integrates comparative analysis, system modeling, and institutional analysis. The findings demonstrate that the successful integration of AI in higher education requires a comprehensive framework that includes the development of ethical standards, data governance mechanisms, transparent algorithmic systems, and digital transformation strategies for universities. Particular attention is given to issues of algorithmic fairness, protection of personal data of students and faculty, and the prevention of discriminatory practices in automated decision-making systems. The article proposes a conceptual model of ethical-governance integration of AI, consisting of three levels: regulatory, institutional, and operational. This model enables a systematic assessment of risks and opportunities associated with AI implementation, ensuring a balance between innovation and social responsibility. The practical significance of the study lies in the development of recommendations for universities, government bodies, and educational platforms regarding the implementation of AI in accordance with principles of sustainable development and academic ethics. The results may be used in the formulation of national strategies for the digitalization of education and the development of international standards in the field of educational AI.
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