112 citations · 124 across the 2 of their papers we have counts for
2 papers
physics.geo-ph2022★ 12 cited
Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience
Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff
Methods of eXplainable Artificial Intelligence (XAI) are used in geoscientific applications to gain insights into the decision-making strategy of Neural Networks (NNs) highlighting…
cs.CY2021★ 112 cited
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences
Amy McGovern, Imme Ebert-Uphoff, David John Gagne +1
Given the growing use of Artificial Intelligence (AI) and machine learning (ML) methods across all aspects of environmental sciences, it is imperative that we initiate a discussion…