Towards trustworthy AI in marine research, fisheries, and environmental management

This study highlights the transformative potential of AI in marine science, fisheries management, and policy while addressing key challenges such as bias, data integrity, and trust. It proposes a framework based on three critical pillars—socio-economic and legal viability, data governance, and technical robustness—to ensure ethical, reliable, and resilient AI systems for sustainable fisheries and environmental protection.