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By Oar, Oap, Cppd. 2015

Subfields: AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Dan Jurafsky
2. Emma Brunskill
3. Peter Henderson
4. Aimee van Wynsberghe

Citations in the corpus

• Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning (2020, methodology): “If all translation traffic were in Estonia, 12,768 kgCO 2 eq (the carbon sequestered by 16.7 acres of forest in one year (Agency, 2008)) would be saved per day by using the more efficient model, yet if all traffic were in Québec, 378 kgCO 2 eq would be saved (the carbon sequestered by .5 acres of forest…”