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Explainable Machine Learning for Public Policy: Use Cases, Gaps, and
  Research Directions

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
ArXivPDFHTML

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
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)
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
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
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
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
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
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
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
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
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
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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