Seafood is a diverse and highly valuable source of nutritional benefits that can support healthy diets around the world. However, the uptake of toxic compounds from aquatic ecosystems into seafood products together with food-borne risks introduced throughout the seafood chain, pose a global threat to public health. Effectively managing seafood hazards and optimizing consumer health requires looking beyond the conventional farm-tofork chain. This commentary aims to explore a "beyond farm-to-fork" framework, addressing key elements to ensure safe, high-quality seafood. Recent advancements in smart food safety technologies use artificial intelligence (AI) to enhance food product safety and quality. However, an integrated perspective on AI-related applications along and beyond the seafood chain has yet to be provided. Building on the "beyond farm-to-fork" framework, we highlight key AI-related opportunities and challenges for integrated control of seafood systems. To conclude, we provide guidance, production regulations and policy recommendations for AI-use and consumer health, at all levels "beyond farm-to-fork". Our findings underscore the critical interplay between the location and environmental conditions of seafood production, alongside individual consumer characteristics, in achieving integrated control of seafood quality. AI-related technologies such as the Internet of Things, sensors, machine learning, and blockchain can enable early risk detection, mitigation, and control, reducing health risks from pollutants and foodborne illnesses while enhancing nutritional quality. AI can simplify consumer choices in favour of both individual health and the sustainability of food production. Traceability systems and FAIR data, integrated with further AI developments, can empower seafood stakeholders to ensure product quality and safeguard consumer health.