This session aims to increase the mutual understanding between the machine learning (ML), artificial intelligence (AI) as well as fisheries and environmental science and management communities in order to optimise and utilise digital data services for ML and AI.
This session welcomes contributions on the following topics, with a focus on marine and wider environmental data, data services and applications:
- practical implementations of ML and AI
- data technology, software and services to enable ML and AI
- current challenges and barriers to using open source marine data in ML and AI
- standards and protocols for ML and AI applicable to marine sciences
- ethics of using ML and AI in fisheries and environmental management
- legal and regulatory aspects of using AI and ML in scientific processes for decision makers
