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Beneficial and Harmful Explanatory Machine Learning

Beneficial and Harmful Explanatory Machine Learning

9 September 2020
L. Ai
Stephen Muggleton
Céline Hocquette
Mark Gromowski
Ute Schmid
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Papers citing "Beneficial and Harmful Explanatory Machine Learning"

5 / 5 papers shown
Title
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An Overview
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAI
FAtt
LRM
31
62
0
29 Jul 2022
One-way Explainability Isn't The Message
One-way Explainability Isn't The Message
A. Srinivasan
Michael Bain
Enrico W. Coiera
21
2
0
05 May 2022
Single-Turn Debate Does Not Help Humans Answer Hard
  Reading-Comprehension Questions
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
Alicia Parrish
H. Trivedi
Ethan Perez
Angelica Chen
Nikita Nangia
Jason Phang
Sam Bowman
28
14
0
11 Apr 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
36
7
0
31 Dec 2021
Generating Contrastive Explanations for Inductive Logic Programming
  Based on a Near Miss Approach
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach
Johannes Rabold
M. Siebers
Ute Schmid
31
14
0
15 Jun 2021
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