Initiative #248

Automation and Decision Support

AI capability

AI Model Deployment, Testing, and Collaboration Platforms

Bucket rationale

This initiative centers on using AI to analyze AIS vessel track data and determine whether fishing activity is occurring, particularly within protected areas such as MPAs and coral/sponge zones. The core intelligence function is: • Pattern recognition in structured telemetry data (AIS tracks) • Classification of vessel behaviour (fishing vs. non-fishing) • Spatial rule application (activity within protected coordinates) • Triggering operational follow-up for enforcement teams This aligns directly with the definition of Automation and Decision Support: AI systems that analyze structured data, recognize patterns, and support or automate decision-making processes. The AI is not primarily perceiving unstructured input (the AIS data is structured telemetry), nor is it engaging users conversationally, nor generating creative outputs. Its purpose is to detect risk-relevant activity and inform enforcement decisions, which is classic operational decision support. The supporting AIS pipeline is infrastructure, but the initiative’s primary value proposition is automated detection and operational alerting.