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Generative AI is environmentally costly, but humans as well. Hence just measuring the environmental cost of GenAI is not enough. We need to compare it to what its potentially substituting: human labor. In this video I present a paper which aims to measure the environmental impact of AI by doing so: Reconciling the contrasting narratives on the environmental impact of large language models (Ren et al. (2024)) which is a scientific report published in Nature. ( Here is the link to the paper: https://www.nature.com/articles/s4159...) In this video I finish by discussing the limitation, the potential impact, if this comparison is valid and go beyond by exploring the big questions, what if GenAI solve cancer or climate change? Hi my name is Quentin Gallea, I help organisation measure the impact of AI on various outcomes using my expertise causal analysis, causal AI and statistics. You can connect with me on Linkedin to follow my daily post or contact me directly to know more: https://www.quentingallea.com/