Sustainable AI: Environmental Implications, Challenges and Opportunities. Wu, C., Raghavendra, R., Gupta, U., Acun, B., Ardalani, N., Maeng, K., Chang, G., Aga, F., Huang, J., Bai, C., Gschwind, M., Gupta, A., Ott, M., Melnikov, A., Candido, S., Brooks, D., Chauhan, G., Lee, B., Lee, H., Akyildiz, B., Balandat, M., Spisak, J., Jain, R., Rabbat, M., & Hazelwood, K. Proceedings of Machine Learning and Systems, 4:795–813, April, 2022.
Sustainable AI: Environmental Implications, Challenges and Opportunities [link]Paper  bibtex   
@article{wu_sustainable_2022,
	title = {Sustainable {AI}: {Environmental} {Implications}, {Challenges} and {Opportunities}},
	volume = {4},
	shorttitle = {Sustainable {AI}},
	url = {https://proceedings.mlsys.org/paper_files/paper/2022/hash/462211f67c7d858f663355eff93b745e-Abstract.html},
	language = {en},
	urldate = {2025-07-07},
	journal = {Proceedings of Machine Learning and Systems},
	author = {Wu, Carole-Jean and Raghavendra, Ramya and Gupta, Udit and Acun, Bilge and Ardalani, Newsha and Maeng, Kiwan and Chang, Gloria and Aga, Fiona and Huang, Jinshi and Bai, Charles and Gschwind, Michael and Gupta, Anurag and Ott, Myle and Melnikov, Anastasia and Candido, Salvatore and Brooks, David and Chauhan, Geeta and Lee, Benjamin and Lee, Hsien-Hsin and Akyildiz, Bugra and Balandat, Maximilian and Spisak, Joe and Jain, Ravi and Rabbat, Mike and Hazelwood, Kim},
	month = apr,
	year = {2022},
	pages = {795--813},
}

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