Artificial Intelligence for Sustainable Ocean Health

Artificial intelligence has been increasingly applied in the field of ocean health to better understand and monitor the world’s oceans health. The ocean is a complex and dynamic system that is affected by different factors, including climate change, ocean warming, pollution, and overfishing. AI models have the capability to analyze substantial volumes of data to identify patterns and trends, but without explanations for their predictions and decisions, it can be difficult to interpret their results. This chapter explores the importance of explainable AI for ocean health, including the need for transparency, accountability, and trust in AI models. This chapter also discusses the current state of the art in explainable AI (XAI) for ocean health, including various techniques and methodologies that have been developed to provide explanations for AI models’ predictions and decisions. Ultimately, the objective of explainable AI for ocean health is to promote sustainable use of ocean resources, protect marine biodiversity, and alleviate the impacts of climate change on the oceans.