Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health

The rapid integration of artificial intelligence (AI) into seas, ocean, and marine resource health has opened new opportunities for smart ocean health automation, transforming marine diagnosis, treatment, and the overall ocean ecosystem, thus contributing to Sustainable Development Goal 14 of ensuring sustainable and conserved use of seas, ocean, and other marine resources. However, the widespread adoption of AI algorithms in several domains, like human and ocean healthcare, comes with challenges, particularly regarding the transparency and explainability of these techniques. This study explores the explainable AI (XAI) concept and its crucial role in ocean healthcare automation. Discuss the significance of XAI, various techniques for achieving explainability, and their potential applications in ocean health. XAI can enhance accountability and facilitate better decision-making by enabling ocean, sea, and marine health professionals and the general population to understand and trust AI-driven ocean decisions. Moreover, the ethical considerations and challenges associated with implementing XAI in ocean healthcare settings, including privacy, bias, and regulatory implications, are addressed. Highlighted future directions in XAI research for smart ocean health and emphasized the implications for ocean health providers and policymakers. By embracing XAI, the ocean health industry can unlock the full potential of AI while ensuring transparency, fairness, and improved patient outcomes. It is revealed that ocean healthcare is most comparable to human healthcare. Therefore, it is paramount to have a collective responsibility to ensure the proper utilization and health of the ocean, marine resources, and seas.