The increasing frequency and severity of climate hazards such as drought and extreme heat stress demand effective strategies for risk management and resilience building. Leveraging artificial intelligence (AI) offers significant advantages for detecting, attributing, and establishing the causality of extreme and compound events, enabling more precise and timely responses. This session will explore cutting-edge approaches for climate hazard management by using AI to enhance the accuracy and reliability of climate information, prediction, observations and visualisations within an interdisciplinary framework, focusing on innovative methodologies for addressing climate hazards.
The session will emphasise the contributions of AI to the study of climate hazards by refining indicators, improving the accuracy of climate information, and advancing visualisations and communications. Additionally, participants will discuss AI’s role in optimising strategies for climate financing and ensuring rigorous compliance and reporting practices. By convening experts and practitioners, the session aims to integrate cutting-edge AI technologies with practical ones for risk mitigation, hazard attribution, and adaptation, strengthening resilience against the backdrop of evolving climate realities.
We welcome contributions from researchers, practitioners, policymakers, and interdisciplinary teams at the intersection of climate science, environmental policy and AI. We encourage submissions that offer innovative solutions, theoretical advancements, and practical applications, as well as case studies that showcase the integration of AI in climate risk management and communication. We also invite papers addressing the challenges and limitations of using AI in this domain, discussing policy and practice implications, and proposing frameworks for ethical and equitable AI-driven climate strategies. Collaborative projects and cross-disciplinary insights that bring new perspectives to climate resilience are highly encouraged.