The emergence of generative artificial intelligence (AI) tools such as OpenAI, Google DeepMind and Meta, has opened new frontiers in geoscience research, education and communication. These tools offer a range of capabilities, including code generation, data interpretation, report drafting, and knowledge summarization. They provide new opportunities to accelerate workflows, enhance accessibility, and support interdisciplinary collaboration.
This session welcomes contributions that explore the application of generative AI tools across geoscientific disciplines. Submitted contributions should be related and not limited to the following topics:
- AI-driven approaches in geosciences
- The use of LLMs for scientific writing and literature review automation
- GenAi for geoscience education, training or public outreach
- Natural language processing in geospatial data management
- Critical assessments of LLM accuracy, bias and ethical considerations
-Integration of generative AI in geoscientific data acquisition, processing and interpretation
The goal of this session is to bring together geoscientists, data scientists, educators, and technologists to discuss the potential and limitations of generative AI in the field of geoscience.
Real-world applications, case studies, tool demonstrations and conceptual frameworks are all welcome. The session format will support oral, poster.