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Artificial Intelligence for Climate Security: Possibilities and Challenges

Artificial Intelligence for Climate Security: Possibilities and Challenges
Publisher: SIPRI
SIPRI, Stockholm:
December, 2023

Recent advances in artificial intelligence (AI)—largely based on machine learning—offer possibilities for addressing climate-related security risks. AI can, for example, be used for developing disaster early-warning systems and enhancing long-term climate hazard modelling, reducing the risk that the impacts of climate change will lead to insecurity and conflict.

This SIPRI Policy Report, funded by Mistra Geopolitics, outlines the opportunities that AI presents for managing climate-related security risks. It gives examples of the use of AI in the field and delves into the challenges—notably methodological and ethical—associated with the use of AI for climate security. The report concludes with recommendations for policymakers and researchers who are active in the area of climate security or who use AI for sustainability.


1. Introduction

2. The possibilities that AI presents for addressing climate-related security risks

3. Examples of AI for climate security

4. The challenges associated with AI

5. Key findings and recommendations



Dr Kyungmee Kim is an Associate Researcher in the SIPRI Climate Change and Risk Programme.
Dr Vincent Boulanin is Director of the Governance of Artificial Intelligence Programme at SIPRI.