Community Event - GEO Infrastructure and AI (ODOK Session)

Description

This session explores how artificial intelligence can enhance data discovery, knowledge generation, and responsible use within the GEO ecosystem. It will present emerging AI-driven tools and applications—such as LLM-powered knowledge hubs, EO-focused GPT solutions, and intelligent metadata creation—demonstrating how they improve access to and usability of Earth observation data. The session will also highlight connections with broader AI4EO initiatives and discuss the development of an inclusive, AI-enabled ecosystem. In parallel, it will address critical considerations around data accountability and liability, aiming to balance innovation with trust and responsible data governance.

Agenda

Presentations

GEO Knowledge Hub on Steroids: LLM to support data and knowledge discovery (Felipe Carlos)
EO-GPT Showcase with GEO Knowledge Hub (Dave Borges)
Connection with AI4EO (Yifang Ban)
From EO Data to Knowledge: Building an AI-enabled inclusive ecosystem (Lan Wu)
AI-assisted Metadata Editor: Intelligent metadata creation for geospatial datasets (Margherita Di Leo)
Geodata Liability: Moving from open data risks to accountable Earth observations (Felipe Carlos and Jean-Philippe Montillet)

Discussion (Moderator: Paola de Salvo)