METHODOLOGY AND PRINCIPLES FOR THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ADAPTIVE ECONOMIC MODELS OF HIGHER EDUCATION
DOI:
https://doi.org/10.5281/zenodo.23321423Abstract
The study develops a methodology and principles for applying artificial intelligence (AI) in the adaptive economic models of higher education institutions. It conducts a normative comparative analysis of the OECD AI Principles, the UNESCO Recommendation on the Ethics of AI and Uzbekistan’s AI strategy, adapts the CRISP-DM process model to higher education economics, and classifies model families. Seven principles and their practical requirements are substantiated, and a six-stage methodological cycle and a model-selection map are proposed.Keywords
artificial intelligence, adaptive economic model, methodology, explainability, CRISP-DM, data governanceReferences
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