It was quite the opposite: persuading talented scientists to focus on problems that necessitated rather simple machine learning solutions, instead of the latest cutting-edge techniques that satisfied their ambitions and looked better on a research résumé. It was also finding the political will to deploy those solutions globally. “Technologies that would address climate change have been available for years, but have largely not been adopted at scale by society,” wrote the Climate Change AI researchers in their white paper.
