VISUALIZATION OF THE CONCEPTUAL MAPPING OF RESEARCH ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF KENYA'S RESOURCE POTENTIAL

This study presents a bibliometric visualization of scientific research on the application of artificial intelligence (AI) in the management of Kenya's resource potential. Using metadata from 70,406 publications indexed in the Web of Science database (2020–2025), the research employs VOSviewer to construct keyword co-occurrence networks and identify major research themes, conceptual relationships, and emerging trends. The analysis reveals that artificial intelligence, machine learning, deep learning, predictive analytics, sustainability, and resource management are the dominant research areas shaping this field. The conceptual mapping demonstrates the growing interdisciplinary integration of AI across agriculture, environmental management, energy systems, and natural resource governance. The findings provide valuable insights into the intellectual structure of the research domain and offer guidance for researchers, policymakers, and development organizations seeking to promote sustainable and data-driven resource management in Kenya.