Unraveling the Hidden Environmental Impacts of AI Solutions for Environment

22 October 2021

Papers citing "Unraveling the Hidden Environmental Impacts of AI Solutions for Environment"

21 / 21 papers shown

Title
AI persuading AI vs AI persuading Humans: LLMs' Differential Effectiveness in Promoting Pro-Environmental Behavior Alexander Doudkin Pat Pataranutaporn Pattie Maes AI4CE 50 0 0 03 Mar 2025
On the Ethical Considerations of Generative Agents Nýoma Diamond Soumya Banerjee 72 2 0 28 Nov 2024
Crossing the principle-practice gap in AI ethics with ethical problem-solving N. Corrêa James William Santos Camila Galvão Marcelo Pasetti Dieine Schiavon Faizah Naqvi Robayet Hossain N. D. Oliveira 34 4 0 16 Apr 2024
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark Sylvain Chevallier Igor Carrara Bruno Aristimunha Pierre Guetschel Sara Sedlar Bruna Lopes Sebastien Velut Salim Khazem Thomas Moreau 29 14 0 03 Apr 2024
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena Marco Gaido Sara Papi Matteo Negri L. Bentivogli 33 1 0 20 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 26 0 0 14 Feb 2024
Green Runner: A tool for efficient deep learning component selection Jai Kannan 17 2 0 29 Jan 2024
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 31 17 0 01 Dec 2023
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship Shreyank N. Gowda Xinyue Hao Gen Li Laura Sevilla-Lara Shashank Narayana Gowda HAI 13 10 0 10 Oct 2023
Large Language Model Alignment: A Survey Tianhao Shen Renren Jin Yufei Huang Chuang Liu Weilong Dong Zishan Guo Xinwei Wu Yan Liu Deyi Xiong LM&MA 19 176 0 26 Sep 2023
Explainable Sustainability for AI in the Arts Petra Jääskeläinen 16 2 0 26 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 29 15 0 05 Sep 2023
How to estimate carbon footprint when training deep learning models? A guide and review Lucía Bouza Aurélie Bugeau Loïc Lannelongue HAI 17 52 0 14 Jun 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining Sang Michael Xie Hieu H. Pham Xuanyi Dong Nan Du Hanxiao Liu Yifeng Lu Percy Liang Quoc V. Le Tengyu Ma Adams Wei Yu MoMe MoE 39 174 0 17 May 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning A. Luccioni Alex Hernandez-Garcia 28 45 0 16 Feb 2023
Data Selection for Language Models via Importance Resampling Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang 32 170 0 06 Feb 2023
A Systematic Review of Green AI Roberto Verdecchia June Sallou Luís Cruz 19 150 0 26 Jan 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model A. Luccioni S. Viguier Anne-Laure Ligozat 44 259 0 03 Nov 2022
Environmental and Social Sustainability of Creative-Ai A. Holzapfel Petra Jääskeläinen Anna-Kaisa Kaila 6 5 0 26 Sep 2022
Measuring the Carbon Intensity of AI in Cloud Instances Jesse Dodge Taylor Prewitt Rémi Tachet des Combes Erika Odmark Roy Schwartz Emma Strubell A. Luccioni Noah A. Smith Nicole DeCario Will Buchanan 24 181 0 10 Jun 2022
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 644 0 21 Apr 2021