Summary
This conference will nurture an interconnected community of practice to strengthen understanding of how artificial Intelligence (AI) in computer science intersects with the FAIR Principles (Findable, Accessible, Interoperable, Reusable) and impacts reproducibility. It will equip geoscience repositories to better support data preparation, deposit, access, and reuse with machine learning (ML) methods. The conference will also develop a community-driven roadmap to guide future FAIR + AI research and foster new collaborations that advance reproducibility, AI readiness, and the integration of FAIR,
