This study investigates the application of Artificial Intelligence (AI) in monitoring
and managing marine ecosystems to address the impacts of climate change on
Kenya’s Blue Economy. It aims to assess the threats posed by climate change to
these ecosystems and explore the potential of AI solutions to enhance
adaptation and resilience. The research employs a comprehensive review of
secondary data sources, including academic publications, reports from reputable
institutions, and other relevant materials. The study analyzes existing literature on
AI applications in marine ecosystem management and climate change
mitigation, focusing on the specific context of Kenya’s Blue Economy. The
study reveals that climate change poses significant threats to Kenya’s marine
ecosystems, including coral bleaching, ocean acidification, sea-level rise, and
disruptions to ocean currents. AI technologies offer promising solutions for
monitoring and managing these impacts, with applications in predictive
modeling, resource optimization, and decision support. The research highlights
the need for further exploration into specific AI applications tailored to Kenya’s
unique coastal challenges and the importance of incorporating diverse
stakeholder perspectives. Additionally, it emphasizes the necessity for longterm
impact assessments of AI technologies in the context of climate change
mitigation. This study contributes to the growing body of knowledge on AI
applications in environmental management, particularly within the context of
Kenya’s Blue Economy. By identifying the potential of AI to enhance resilience
and sustainability in marine ecosystems, the research offers valuable insights for
policymakers, researchers, and practitioners involved in climate change
mitigation and adaptation efforts. |
University of Cape Coast