ABSTRACT
AI intensifies existing trends towards ecological decline through its high dependence on materials and energy, as well as its development in the context of a profit-maximizing and growth-oriented economic culture. As the vast majority of machine learning systems, even those focused on Sustainable Development Goals, are designed to make processes faster and more efficient and focus on symptoms rather than root causes, they are accelerating ecological depletion, energy decline, material extraction, labor exploitation, and global inequality. To correct this situation, we advocate for a democratic process of deciding what and how AI should be implemented, so that it serves the common good and the regeneration of ecosystems.
