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The climate impact of AI, and NLP research in particular, has become a serious issue given the enormous amount of energy that is increasingly being used for training and running computational models.
Carbontracker: Tracking and predicting the carbon footprint of training deep learning models
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The sins of greenwashing: home and family edition
TerraChoice. 2010 · 2010
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Greenhouse gases, CO2, CO2e, and carbon: What do all these terms mean
Matthew Brander and G Davis. 2012 · 2012
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The ethics of carbon offsetting
Keith Hyams and Tina Fawcett. 2013 · 2013
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Braiding sweetgrass: Indigenous wisdom, scientific knowledge and the teachings of plants
Robin Wall Kimmerer. 2013 · 2013
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Too late, too sudden : transition to a low-carbon economy and systemic risk
European Systemic Risk Board. 2016 · 2016
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Task force on climate-related financial disclosures
Financial Stability Board. 2017 · 2017
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Global warming of 1.5 c
Valérie Masson-Delmotte, Panmao Zhai, Hans-Otto Pörtner, Debra Roberts, Jim Skea, Priyadarshi R Shukla, Anna Pirani, W Moufouma-Okia, C Péan, R Pidcock, et al. 2018 · 2018
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Can the implications of the ghg protocol’s scope 3 standard be realized?
Jerry Patchell. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Quantifying the carbon emissions of machine learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres. 2019 · 2019
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Energy usage reports: Environmental awareness as part of algorithmic accountability
Kadan Lottick, Silvia Susai, Sorelle A. Friedler, and Jonathan P. Wilson. 2019 · 2019
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Model cards for model reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019 · 2019
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Tackling climate change with machine learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio. 2019 · 2019
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Energy and policy considerations for deep learning in NLP
Emma Strubell, Ananya Ganesh, and Andrew McCallum. 2019 · 2019
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The social life of mass and excess consumption
Magnus Boström. 2020 · 2020
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Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling
Costanza Conforti, Stephanie Hirmer, Dai Morgan, Marco Basaldella, and Yau Ben Or. 2020 · 2020
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Concepts and forms of greenwashing: A systematic review
Sebastião Vieira de Freitas Netto, Marcos Felipe Falcão Sobral, Ana Regina Bezerra Ribeiro, and Gleibson Robert da Luz Soares. 2020 · 2020
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ETH Zurich Sustainability Report 2019/2020
ETH Zurich. 2021 · 2020
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The battle for ethical AI at the world’s biggest machine-learning conference
Elizabeth Gibney. 2020 · 2020
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Towards the systematic reporting of the energy and carbon footprints of machine learning
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, and Joelle Pineau. 2020 · 2020
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Give me convenience and give her death: Who should decide what uses of NLP are appropriate, and on what basis?
Kobi Leins, Jey Han Lau, and Timothy Baldwin. 2020 · 2020
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Analyzing sustainability reports using natural language processing
Block pruning for faster transformers
François Lagunas, Ella Charlaix, Victor Sanh, and Alexander M Rush. 2021 · 2021
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Dynaboard: An evaluation-as-a-service platform for holistic next-generation benchmarking
Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, and Douwe Kiela. 2021 · 2021
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Hyperparameter power impact in transformer language model training
Lucas Høyberg Puvis de Chavannes, Mads Guldborg Kjeldgaard Kongsbak, Timmie Rantzau, and Leon Derczynski. 2021 · 2021
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The climate change debate and natural language processing
Manfred Stede and Ronny Patz. 2021 · 2021
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NLP for climate policy: Creating a knowledge platform for holistic and effective climate action
Pradip Swarnakar and Ashutosh Modi. 2021 · 2021
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Sasha Luccioni, Emi Baylor, and Nicolas Duchene. 2020 · 2020
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Green AI
Roy Schwartz, Jesse Dodge, Noah A. Smith, and Oren Etzioni. 2020 · 2020
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Social and governance implications of improved data efficiency
Aaron D Tucker, Markus Anderljung, and Allan Dafoe. 2020 · 2020
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UZH Zurich Sustainability Report 2019/2020
UZH Zurich. 2021 · 2020
Cited alongside, same era.
The role of artificial intelligence in achieving the sustainable development goals
Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Daniela Langhans, Max Tegmark, and Francesco Fuso Nerini. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Cited alongside, same era.
A modest Pareto optimisation analysis of dependency parsers in 2021
Mark Anderson and Carlos Gómez-Rodríguez. 2021 · 2021
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Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, and Markus Leippold. 2021 · 2021
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, and Laurent Sifre. 2022 · 2022
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Measuring the carbon intensity of AI in cloud instances
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A Smith, Nicole DeCario, and Will Buchanan. 2022 · 2022
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Aligning artificial intelligence with climate change mitigation
Lynn H Kaack, Priya L Donti, Emma Strubell, George Kamiya, Felix Creutzig, and David Rolnick. 2022 · 2022
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A holistic assessment of the carbon footprint of noor, a very large Arabic language model
Imad Lakim, Ebtesam Almazrouei, Ibrahim Abualhaol, Merouane Debbah, and Julien Launay. 2022 · 2022
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Mainstreaming climate change sociology
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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
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Carbon footprint of selecting and training deep learning models for medical image analysis
Raghavendra Selvan, Nikhil Bhagwat, Lasse F Wolff Anthony, Benjamin Kanding, and Erik B Dam. 2022 · 2022
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Compute trends across three eras of machine learning
Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, and Pablo Villalobos. 2022 · 2022
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Primer: Searching for efficient transformers for language modeling
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A dataset for detecting real-world environmental claims
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Sustainable ai: Environmental implications, challenges and opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, and Kim Hazelwood. 2022 · 2022
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