Artificial intelligence is transforming climate change prediction and rapidly becoming one of the most powerful tools available to predict, manage and mitigate the effects of climate change. From forecasting floods to helping cities plan resilient infrastructure, AI is now at the forefront of climate tech innovation.
During a recent event hosted by the University of Virginia, a panel of experts in science, technology, insurance, and journalism discussed how AI is being deployed to address environmental risks. While concerns persist about the energy demands of AI and data centers, its potential to help us adapt to – and potentially mitigate – the worst effects of climate change is undeniable.
AI-Powered Climate Models Offer a New Level of Precision
“We aim to forecast future inundation levels to enhance preparedness,” said Dr. Madhav Marathe, executive director of UVA’s Biocomplexity Institute. His team is developing AI-driven “digital similars” of cities and regions – virtual models that simulate everything from rising sea levels to energy usage and population movement. These digital similars are like digital twins but use synthetic data to protect data privacy. These models enable planners and policymakers to test scenarios and design smarter, more sustainable responses before a disaster strikes.
Through partnerships with the National Aeronautics and Space Administration, the Centers for Disease Control and Prevention and the Department of Defense, Marathe’s institute is already applying AI to understand health impacts, improve regional evacuation strategies and support integrated energy systems. “We’re building AI and simulation-driven workflows and apps to better understand these co-evolving systems,” he said.
AI in Insurance: Predicting Weather Risk With Greater Accuracy
AI is also changing the game for climate risk management in the private sector. Matt Coleman, chief risk officer at venture-backed insurance advisor The Demex Group , explained how machine learning is enhancing the accuracy of insured loss forecasts. “We leverage machine learning and large datasets of weather events and insurance claims to better predict insured loss,” he said, adding that the insurance industry is actively valuing the economic impacts of climate change.