The Need for Ethical, Responsible, and Trustworthy Artificial
Intelligence for Environmental Sciences

The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences

15 December 2021

I. Ebert‐Uphoff

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Papers citing "The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences"

10 / 10 papers shown

Title
Explainable AI-Based Interface System for Weather Forecasting Model Soyeon Kim Junho Choi Yeji Choi Subeen Lee Artyom Stitsyuk Minkyoung Park Seongyeop Jeong Youhyun Baek Jaesik Choi XAI 119 2 0 01 Apr 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 157 84 0 08 Nov 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 178 741 0 02 Apr 2021
Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations Kyle Hilburn I. Ebert‐Uphoff S. Miller 61 52 0 16 Apr 2020
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model D. Gagne H. Christensen A. Subramanian A. Monahan AI4CE BDL 109 143 0 10 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 571 4,391 0 23 Aug 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 119 1,149 0 22 Jul 2019
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution Dimitrios I. Diochnos Saeed Mahloujifar Mohammad Mahmoody AAML 41 72 0 29 Oct 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 107 219 0 20 Mar 2018

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