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2010.14374
Cited By
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions
27 October 2020
Kasun Amarasinghe
Kit Rodolfa
Hemank Lamba
Rayid Ghani
ELM
XAI
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Papers citing
"Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions"
11 / 11 papers shown
Title
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu
Pingbang Hu
Han Zhao
Jiaqi W. Ma
TDI
142
2
0
10 Jan 2025
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
Supriya Manna
Dionis Barcari
42
3
0
31 Jul 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
João Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
33
2
0
29 Jan 2024
Beyond XAI:Obstacles Towards Responsible AI
Yulu Pi
34
2
0
07 Sep 2023
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
29
7
0
12 Nov 2022
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
Peter E. D. Love
J. Matthews
Weili Fang
Stuart Porter
Hanbin Luo
L. Ding
32
2
0
12 Nov 2022
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
A Causal Perspective on Meaningful and Robust Algorithmic Recourse
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
27
16
0
16 Jul 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Sérgio Jesus
Catarina Belém
Vladimir Balayan
João Bento
Pedro Saleiro
P. Bizarro
João Gama
136
119
0
21 Jan 2021
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi
Ana Marasović
Tim Miller
Yoav Goldberg
249
425
0
15 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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