The article critically examines the relationship between Artificial Intelligence (AI), specifically Machine Learning (ML), and sustainability, distinguishing between theoretical potential and actual effectiveness in the real world. It emphasizes that data and ML models are subjective constructs prone to errors and manipulation. Finally, it discusses that while ML can contribute to our understanding of environmental processes, the real impact on societal priorities and the practical implementation of sustainability strategies is a matter of political and social choices.
German Version here.