The integration of artificial intelligence (AI) into fisheries management has the potential to enhance socio-ecological decision-making by improving the use of increasingly complex and abundant data. However, existing research has predominantly focused on technical performance, with limited attention given to how AI can be effectively integrated into management systems in ways that are socially legitimate and publicly accepted.
A recent literature review of AI applications across fisheries management domains identified a notable gap in the “control” dimension—defined as the rules, regulations, and measures used to directly influence fishing activities. This suggests that while AI is advancing in areas such as monitoring and ecological analysis, its role in informing or supporting decision-making processes that directly affect stakeholders remains underdeveloped.
Recreational fisheries provide a valuable context for addressing this gap, as they are highly visible, publicly contested, and generate accessible qualitative data through online platforms. This study explores the potential of digital fisheries data, specifically publicly available Facebook comments, to establish a baseline understanding of public attitudes, emotions, values, and perceptions expressed in response to fisheries management decisions.
By analysing this discourse, the research aims to identify how stakeholders interpret and respond to management actions, and what factors influence trust and acceptance. The findings are expected to inform the development and communication of AI-driven tools and insights, ensuring they align with stakeholder expectations and enhance the social legitimacy of fisheries management decisions. Ultimately, this work contributes to a more holistic approach to AI integration—one that not only improves analytical capability but also strengthens the relationship between data, decision-making, and the communities affected by it.