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Climate Impact Of AI: Difference between revisions
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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. The majority of emissions come from CO2 released from electricity generation powering AI processes. The carbon intensity of any particular project is highly dependent on its location and the electricity mix that it consumes.
Efforts to quantify the CO2 impact of ML have been undertaken<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><ref>{{Cite journal|last=Henderson|first=Peter|last2=Hu|first2=Jieru|last3=Romoff|first3=Joshua|last4=Brunskill|first4=Emma|last5=Jurafsky|first5=Dan|last6=Pineau|first6=Joelle|date=2020-01-31|title=Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning|url=http://arxiv.org/abs/2002.05651|journal=arXiv:2002.05651 [cs]}}</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=}}</ref><ref>{{Cite web|url=https://github.com/Breakend/experiment-impact-tracker|title=Experiment Impact Tracker|date=2021-03-27|website=|url-status=live|archive-url=|archive-date=|access-date=}}</ref>.▼
== Machine Learning Application Areas ==
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== Background Readings ==
▲*''' Efforts to quantify the CO2 impact of ML'''
== Online Courses and Course Materials ==
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== Libraries and Tools ==
*'''ML CO2
*'''Experiment Impact Tracker''': Anther CO2 emissions calculator providing information about power draw from CPU and GPU, hardware information, python package versions, estimated carbon emissions information, and in California realtime carbon emission information, available [https://github.com/Breakend/experiment-impact-tracker here].
*'''Microsoft Emissions Impact Dashboard''': A tool by Microsoft to track carbon emissions related to Microsoft cloud services usage, [https://www.microsoft.com/en-us/sustainability/emissions-impact-dashboard here]
* '''Codecarbon''': A software package that integrates into Python codebase to estimate the amount of carbon dioxide produced by the cloud or personal computing resources used to execute the code, [https://codecarbon.io/ here]
== Data ==
* '''Hugging Face Model Cards''': Several model cards of trained Hugging Face models report the amount of CO2 it took to train them, [https://huggingface.co/models?other=co2_eq_emissions here].
== References ==
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