Climate Impact Of AI: Difference between revisions

AI and machine learning has a climate impact from the energy used at all stages from development to deployment, as well as considerations around embodied energy in hardware from GPUs to data centres. ToolsEfforts to measurequantify the CO2 impact of ML have been createdundertaken<ref name=":0">{{Cite journal|last=Lacoste|first=Alexandre|last2=Luccioni|first2=Alexandra|last3=Schmidt|first3=Victor |last4=Dandres|first4=Thomas|date=2019-10-21|title=Quantifying the Carbon Emissions of Machine Learning|url=https://arxiv.org/abs/1910.09700|journal=arXiv:1910.09700 [cs, stat]}}</ref>, and tools and recommendations for best practice have been created<ref name=":1">{{Cite web|last=|first=|date=|title=ML CO2 Impact|url=https://mlco2.github.io/impact/|url-status=live|archive-url=|archive-date=|access-date=2021-03-27|website=https://mlco2.github.io/impact/}}</ref>.