Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

5 September 2023

Gabrielle Samuel

Raghavendra Selvan

Papers citing "Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI"

10 / 10 papers shown

Title
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research Nanna Inie Jeanette Falk Raghavendra Selvan 46 0 0 01 Apr 2025
Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations Pooja Rani Jan-Andrea Bard June Sallou Alexander Boll Timo Kehrer Alberto Bacchelli 74 0 0 26 Mar 2025
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race) Pedram Bakhtiarifard Pınar Tözün Christian Igel Raghavendra Selvan 57 0 0 27 Feb 2025
BMRS: Bayesian Model Reduction for Structured Pruning Dustin Wright Christian Igel Raghavendra Selvan BDL MQ 44 0 0 03 Jun 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 54 0 0 08 Feb 2024
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization Sebastian Eliassen Raghavendra Selvan GNN 24 3 0 21 Sep 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models Pengfei Li Jianyi Yang M. A. Islam Shaolei Ren 81 122 0 06 Apr 2023
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
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 147 674 0 24 Jan 2021
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 238 94 0 08 May 2020