Regional Review of the Barriers, Opportunities, and Emerging Technology Solutions for Fair, Legal and Sustainable Regional Fisheries Management in the Indo-Pacific Region

The activity began in 2021 and is set to conclude in 2025, with a focus on applying Artificial Intelligence (AI), Advanced Analytics (AA), and Machine Learning (ML) to address challenges in fisheries management and labor rights. The Indo-Pacific wild fisheries capture sector is a significant contributor to the region's economy, with medium to small-scale commercial fisheries playing a crucial role. However, the current state of regional fisheries management is characterized by inadequate data, lack of transparency, and limited enforcement capabilities. Labor and human rights issues are also prevalent, with many fishers facing exploitation and poor working conditions. The report highlights the potential of AI/AA/ML in addressing these challenges, including data-driven decision-making, predictive modeling, and workforce monitoring. Emerging AI/AA/ML solutions and innovations, such as traceability and supply chain transparency, are also explored. Public-private partnerships, funding, and collaborations are seen as essential for the successful integration of AI/AA/ML in regional fisheries management and labor rights. The report identifies several barriers to AI/AA/ML adoption, including regulatory and legal barriers, technological challenges, data availability and quality, institutional and financial constraints, capacity building and human resources, cultural and social barriers, and ethical and privacy considerations. To overcome these barriers, the report recommends a policy and regulatory framework, technological infrastructure and data management, and funding and investment strategies. The SuFiA TS activity has laid the groundwork for future research and next steps, including an extensive review of cloud computing adoption for AI/AA/ML-driven data storage and analysis of data security, privacy, and intellectual property risks. The study will also examine the secure use of internet/cloud computing, particularly within eCDT/VMS data collection and storage by regional fishers and government agencies. The report concludes that the successful integration of AI/AA/ML in regional fisheries management and labor rights will require a collaborative effort from governments, private sector partners, and civil society organizations. The Indo-Pacific region has the potential to become a leader in sustainable and responsible fisheries management, and the SuFiA TS activity is a crucial step towards achieving this goal. The report emphasizes the importance of stakeholder engagement and collaboration in promoting fair labor and human rights, legal, and sustainable fisheries management. Public-private partnerships, funding, and collaborations are seen as essential for the successful integration of AI/AA/ML in regional fisheries management and labor rights. The SuFiA TS activity has identified several bright spots and case studies that demonstrate the potential of AI/AA/ML in promoting sustainable and responsible fisheries management. These include the use of AI-powered tools for data analysis and decision-making, the development of predictive models for resource allocation, and the implementation of traceability and supply chain transparency systems. The report concludes by highlighting the need for continued research and development in the field of AI/AA/ML for fisheries management and labor rights. The Indo-Pacific region has the potential to become a leader in sustainable and responsible fisheries management, and the SuFiA TS activity is a crucial step towards achieving this goal.