Climate change is one of those critical issues that don't receive enough attention from the AI community. The main reason why machine learning developers and data scientists are building so few climate models is that climate change is painfully hard to forecast in the long run. While weather forecasts are increasing their accuracy every year, climate predictions and their socioeconomic impact are much harder to estimate, this is due to the huge amount of human variables that play a role in climate change. However, climatic models have experienced a boost in recent years thanks to Integrated Assessment Models. Integrated assessment models (IAMs) help us understand how human development and societal choices affect each other and the natural world, they are "integrated" because they combine different disciplines to model human society alongside parts of the Earth system.