Abstract:
Generative Artificial Intelligence (GIA) is driving innovation across sectors, from
art and medicine to the automation of complex tasks, by generating
sophisticated texts, images, and simulations. However, this technological
progress brings significant environmental concerns, primarily due to the high
energy consumption and substantial carbon footprint associated with model
training and inference processes. As digital sobriety becomes a priority to
mitigate environmental impact, GIA faces a paradox: its large-scale deployment
often contradicts sustainable practices. This communication explores ethical
considerations surrounding GIA, focusing on strategies for reducing its ecological
footprint while supporting responsible digital use
