209 Deep-Time Earth and the AI Revolution
We invite overviews related to compiling and deciphering large regional to global-scale datasets on the fascinating history of our Earth and Solar System, and to unraveling the interplay of processes that shaped the past.
Tuesday, 21 October 2025
1:30 PM - 5:30 PM
HBGCC, 301C
GeoGPT: Building a Governance Framework for Trustworthy AI in Geological Sciences
Paper number: 209-7
Program: Technical Sessions
Time: 3:25 PM – 3:40 PM
Authors
Abstract
Artificial intelligence (AI) is transforming scientific discovery, with large language models (LLMs) providing unprecedented capabilities for synthesizing and interpreting complex geoscientific data. However, integrating AI into the Earth sciences raises critical concerns about data integrity, transparency, ethical oversight, and public trust. Addressing these challenges is essential to ensure responsible and safe deployment in research contexts.
This presentation introduces GeoGPT, an AI platform developed by Zhejiang Lab to support applications including geological mapping, fossil identification, predictive modeling, and energy forecasting. Recognizing the societal and scientific implications of such technologies, GeoGPT has established an independent Governance Committee to guide responsible AI development and deployment. Guided by principles of openness, transparency, scientific integrity, and ethical accountability, the committee provides strategic direction, ensures regulatory alignment, and builds trust across scientific and public domains.
GeoGPT's governance framework draws on international models such as UNESCO's AI Ethics Guidelines, the OECD AI Principles, and evolving regulatory policies in China, the United States, and the European Union. Key initiatives include risk and bias assessment protocols, mechanisms for public and expert engagement, and a roadmap for compliance with emerging AI standards in science. These measures aim to maximize scientific and societal benefits while mitigating unintended consequences.
By sharing GeoGPT's experience, this work offers practical insights into governance structures that foster innovation while upholding responsibility, providing a potential model for the broader geoscience community in the era of intelligent systems.
Geological Society of America Abstracts with Programs. Vol. 57, No. 6
doi: 10.1130/abs/2025AM-414827
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