This project aims to advance AI-driven regulatory compliance in marine environmental policies, focusing on marine pollution and biodiversity regulation.
Project Objectives
Identify priority areas in marine pollution and biodiversity regulation via expert workshops.
Develop AI-driven compliance monitoring systems using Large Language Models.
Methodology
The project employs a structured two-phase approach:
Phase 1: Stakeholder workshops to refine regulatory focus.
Phase 2: AI-based compliance monitoring system development.
News
February 25, 2025: The project has been approved for funding under the ELS Academy Early Career Grants Scheme.