22 Jun
How AI Can Help Tackle The Climate Crisis
Climate change is the biggest challenge facing the planet. It will need every solution possible, including technology like artificial intelligence (AI).
Technology and climate change have a difficult relationship. As technology has become more pervasive throughout our homes, workplaces and society, the amount of data we create has spiralled, causing data centres across the globe to now have the same size carbon footprint as the aviation industry. Although some might argue that the only way to de- carbonise is to de-computerise, like most of these things, the situation is not quite that black and white. While technology is undoubtedly making the climate crisis worse on some fronts, artificial intelligence (AI) and machine learning (ML) technologies are now being used across the world to help mitigate some of the impacts that are resulting from this increase in global temperature.
So here are three ways, referenced at National Geographic (2019 by Jackie Snow) that AI can help tackle the Climate Crisis:
1. Better climate predictions
This push builds on the work already done by climate informatics, a discipline created in 2011 that sits at the intersection of data science and climate science. Climate informatics covers a range of topics: from improving prediction of extreme events such as hurricanes, paleoclimatology, like reconstructing past climate conditions using data collected from things like ice cores, climate downscaling, or using large-scale models to predict weather on a hyper-local level, and the socio-economic impacts of weather and climate.
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