Hybrid intelligence refers to integrated systems of human and machine intelligence, combining the adaptive, contextual, and ethical reasoning of humans (individually and collectively) with the computational power and scalability of AI. This session will explore practical applications of hybrid intelligence in geosciences – covering areas such as knowledge curation, decision support, data analytics, science communication, and actionable science. We will also address the ethical and societal dimensions of human‐centred AI, ensuring that scientists remain at the core of innovation. For geoscientists, hybrid intelligence means fusing deep Earth science expertise with AI-driven insights to tackle complex environmental and societal challenges. The emphasis is on AI, including generative AI, as a tool to empower and extend human insight in geoscience workflows, not to supplant it. We welcome contributions that advance the discussion on harnessing AI responsibly for the benefit of both humanity and the progress of geosciences.

Contributions may address, but are not limited to, the following topics:
-AI tools for geoscientific analysis and outreach
-AI-enhanced decision support systems
-Leveraging knowledge graphs
-Generative AI and Deep Learning in geosciences
-Geoscience-specific AI agents
-Ethical considerations of applying AI in geosciences