Artificial Intelligence (AI) for climate action: bridging Kenya's digital divide for a greener future

Authors

  • Mr David Kibaara Meru University of Science and Technology
  • Mr Abkul Orto Meru University of Science and Technology
  • Mr Patrick Njuguna Meru University of Science and Technology

Keywords:

Artificial Intelligence (AI), Climate Action, Digital Divide

Abstract

This paper explores the dual role of Artificial Intelligence (AI) in addressing climate action and bridging the digital divide in Kenya, under the theme "Science in the Service of Climate Action." The study examines the current state of digital access and infrastructure in Kenya, identifying key socioeconomic barriers to digital inclusion. It further investigates how AI-driven solutions can mitigate climate change impacts, with a focus on applications in climate monitoring, agriculture, and renewable energy. Through a combination of case studies and policy analysis, this paper highlights successful AI initiatives that promote both environmental sustainability and digital equity. Key findings suggest that integrating AI with efforts to enhance digital access can significantly amplify climate action outcomes, fostering community resilience and environmental health. The paper concludes with policy recommendations to support the implementation of AI technologies for climate and digital inclusion, emphasizing the need for coordinated efforts by government, private sector, and civil society. This research underscores the potential of AI to transform Kenya's approach to climate challenges while ensuring equitable digital opportunities for all.

Author Biographies

Mr David Kibaara, Meru University of Science and Technology

Mr. Kibaara is currently a lecturer in the department of Information Technology and pursuing his doctoral studies in Information Technology. He is guided by his passionate desire to pursue a challenging, professionally and satisfying ICT lecturing career in a people oriented organization where, individual skill and hard work are recognized and acknowledged. He holds an MSc in Electronic Business Management from University of Warwick, UK and a Bachelor of Business Information Technology from the Strathmore University. He is currently undertaking research works in Deep Reinforcement LearningComputer Graphics and Machine Learning.

Mr Abkul Orto, Meru University of Science and Technology

Information Retrieval, Linked Data, Human Computer Interaction, Problem Frame, Complexity Science, Natural Language Processing, Bioinformatics, Computational Linguistics, Agents, Software/Systems Engineering,  Machine Learning/Neural Networks, Web Semantics, Ontologies, Text/Web Mining, Process Modeling, Mobile & Embedded Systems Computing, Computer Vision, Web Services, Adaptive Systems, Knowledge Management, and  Development/environmental Informatics. Programming

Mr Patrick Njuguna, Meru University of Science and Technology

A seasoned lecturer and researcher in computer science; lecturing and mentoring in data structures and algorithms, programming languages and systems development using  low and high level languages, systems programming and APIs; business intelligence and analytics. Research interest in autonomous Agents and artificial intelligence in E-learning.

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Published

2025-04-10

How to Cite

Kibaara, D., Orto, A., & Njuguna, P. (2025). Artificial Intelligence (AI) for climate action: bridging Kenya’s digital divide for a greener future . Meru Universty of Science and Technology International Conference (MUSTIC), 3(1). Retrieved from https://conference.must.ac.ke/index.php/mustic/article/view/181