AI's Complex Role in Climate Change: Promise for Sustainability Alongside Concerns Over Fossil Fuel Extraction

Machine learning can provide climate insights through data analysis, prediction, and optimization, but models require extensive data and computing resources.

AI has complex effects on the environment - it can enable sustainability efforts but also drive climate damage through applications like fossil fuel extraction.

Wildfire detection shows a promising real-world use case, with AI tailored to regional needs for prevention, prediction, monitoring.

Climate change solutions require collaboration across disciplines - tech provides tools but scientists steer application.

Fostering participation and practical tools for climate scientists is key to accelerating research through computing innovations.