The department’s National Adaptation and Resilience Planning Strategy outlined the potential impacts of a warming planet on various industries and communities and identified steps that can be taken to mitigate these risks.
Although the strategy offers a broad range of solutions — including ways to strengthen physical infrastructure and conduct scenario-based planning — it said AI can be used “to reduce future uncertainty, hedge against uncertainty by selecting actions that work across multiple possible futures or approach adaptation decisions as a long-term process to be revisited over time.”
According to the document, coastal and marine habitats that are particularly vulnerable to climate change could benefit from “new coastal change modeling approaches using machine learning and artificial intelligence.”
Similarly, AI algorithms “could more generally improve the effectiveness of early-warning systems” when it comes to the spread of vector-borne diseases, which the strategy said are exacerbated by “warmer winters, increases in extreme weather events and other physical stressors with widespread significant impacts on ecosystems.”
The strategy said, however, that “next-generation sensors, analytics and forecasting technologies,” could have the greatest impact when it comes to combating the impacts of climate change.
“Developing and deploying these tools would unlock powerful opportunities to rapidly scale, implement and adjust climate resilience solutions,” the blueprint said, noting that AI and advanced predictive algorithms “provide new capabilities for advanced monitoring, understanding and responding to climate-related opportunities and hazards across scales and sectors.”
The strategy said AI has already helped the Department of Energy’s Oak Ridge National Laboratory develop a to ..
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