Generative AI’s Environmental Impact Explained
by MIT News | 6-minute read
Generative AI has become a powerful tool in innovation, but its environmental footprint is raising concerns. The growing energy demands of large AI models contribute significantly to their carbon footprint. Researchers are exploring more sustainable approaches to AI development, such as optimizing algorithms and exploring green energy solutions. The article sheds light on these challenges and proposes ways to minimize the environmental impact without stalling progress. As AI adoption expands, finding a balance between technological advancements and sustainability is crucial.
