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Principles of Explanation in Human-AI Systems

Principles of Explanation in Human-AI Systems

9 February 2021
Shane T. Mueller
Elizabeth S. Veinott
R. Hoffman
Gary Klein
Lamia Alam
T. Mamun
W. Clancey
    XAI
ArXivPDFHTML

Papers citing "Principles of Explanation in Human-AI Systems"

11 / 11 papers shown
Title
Explainable AI: Definition and attributes of a good explanation for
  health AI
Explainable AI: Definition and attributes of a good explanation for health AI
E. Kyrimi
S. McLachlan
Jared M Wohlgemut
Zane B Perkins
David A. Lagnado
W. Marsh
the ExAIDSS Expert Group
XAI
38
1
0
09 Sep 2024
Trust, distrust, and appropriate reliance in (X)AI: a survey of
  empirical evaluation of user trust
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust
Roel W. Visser
Tobias M. Peters
Ingrid Scharlau
Barbara Hammer
29
5
0
04 Dec 2023
Using Causal Threads to Explain Changes in a Dynamic System
Using Causal Threads to Explain Changes in a Dynamic System
Robert B. Allen
8
0
0
19 Nov 2023
Right, No Matter Why: AI Fact-checking and AI Authority in
  Health-related Inquiry Settings
Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings
Elena Sergeeva
Anastasia Sergeeva
Huiyun Tang
Kerstin Bongard-Blanchy
Peter Szolovits
32
1
0
22 Oct 2023
A New Perspective on Evaluation Methods for Explainable Artificial
  Intelligence (XAI)
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
36
12
0
26 Jul 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Kacper Sokol
E. Small
Yueqing Xuan
47
5
0
05 Jun 2023
Automatic Textual Explanations of Concept Lattices
Automatic Textual Explanations of Concept Lattices
Johannes Hirth
Viktoria Horn
Gerd Stumme
Tom Hanika
LRM
18
1
0
17 Apr 2023
Informing clinical assessment by contextualizing post-hoc explanations
  of risk prediction models in type-2 diabetes
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes
Shruthi Chari
Prasanth Acharya
Daniel Gruen
Olivia R. Zhang
Elif Eyigoz
...
Oshani Seneviratne
Fernando Jose Suarez Saiz
Pablo Meyer
Prithwish Chakraborty
D. McGuinness
37
18
0
11 Feb 2023
Towards Human Cognition Level-based Experiment Design for Counterfactual
  Explanations (XAI)
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)
M. Nizami
Muhammad Yaseen Khan
Alessandro Bogliolo
37
3
0
31 Oct 2022
Painting the black box white: experimental findings from applying XAI to
  an ECG reading setting
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
F. Cabitza
M. Cameli
Andrea Campagner
Chiara Natali
Luca Ronzio
37
9
0
27 Oct 2022
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe
Bettina Finzel
XAI
34
184
0
15 May 2021
1