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Metrics for Explainable AI: Challenges and Prospects

Metrics for Explainable AI: Challenges and Prospects

11 December 2018
R. Hoffman
Shane T. Mueller
Gary Klein
Jordan Litman
    XAI
ArXivPDFHTML

Papers citing "Metrics for Explainable AI: Challenges and Prospects"

50 / 115 papers shown
Title
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
Stephen Richard Varey
A. D. Stefano
Anh Han
73
0
0
07 May 2025
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
Mohammad Saleha
Azadeh Tabatabaeib
52
0
0
14 Apr 2025
Investigating the Duality of Interpretability and Explainability in Machine Learning
Investigating the Duality of Interpretability and Explainability in Machine Learning
Moncef Garouani
Josiane Mothe
Ayah Barhrhouj
Julien Aligon
AAML
47
2
0
27 Mar 2025
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance
Md Talha Mohsin
Nabid Bin Nasim
44
0
0
07 Mar 2025
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model
Fabio Michele Russo
C. Metta
Anna Monreale
S. Rinzivillo
Fabio Pinelli
73
0
0
06 Mar 2025
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
Yongsu Ahn
Yu-Ru Lin
Malihe Alikhani
Eunjeong Cheon
222
0
0
17 Feb 2025
Explaining Decisions of Agents in Mixed-Motive Games
Explaining Decisions of Agents in Mixed-Motive Games
Maayan Orner
Oleg Maksimov
Akiva Kleinerman
Charles Ortiz
Sarit Kraus
104
1
0
28 Jan 2025
XEQ Scale for Evaluating XAI Experience Quality
XEQ Scale for Evaluating XAI Experience Quality
A. Wijekoon
Nirmalie Wiratunga
D. Corsar
Kyle Martin
Ikechukwu Nkisi-Orji
Belén Díaz-Agudo
Derek Bridge
55
2
0
20 Jan 2025
GraphXAIN: Narratives to Explain Graph Neural Networks
GraphXAIN: Narratives to Explain Graph Neural Networks
Mateusz Cedro
David Martens
62
0
0
04 Nov 2024
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
M. Domnich
Julius Valja
Rasmus Moorits Veski
Giacomo Magnifico
Kadi Tulver
Eduard Barbu
Raul Vicente
LRM
ELM
48
4
0
28 Oct 2024
Exploring the Plausibility of Hate and Counter Speech Detectors with
  Explainable AI
Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI
Adrian Jaques Böck
D. Slijepcevic
Matthias Zeppelzauer
49
0
0
25 Jul 2024
Whether to trust: the ML leap of faith
Whether to trust: the ML leap of faith
Tory Frame
Sahraoui Dhelim
George Stothart
E. Coulthard
46
0
0
17 Jul 2024
Enabling MCTS Explainability for Sequential Planning Through Computation
  Tree Logic
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
Ziyan An
Hendrik Baier
Abhishek Dubey
Ayan Mukhopadhyay
Meiyi Ma
LRM
44
3
0
15 Jul 2024
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection
Sangpil Youm
Brodie Mather
Chathuri Jayaweera
Juliana Prada
Bonnie J. Dorr
VLM
43
0
0
12 Jul 2024
Through the Thicket: A Study of Number-Oriented LLMs derived from Random
  Forest Models
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models
M. Romaszewski
Przemysław Sekuła
P. Głomb
M. Cholewa
Katarzyna Kołodziej
44
0
0
07 Jun 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making
  Environments
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
Sören Schleibaum
Lu Feng
Sarit Kraus
Jörg P. Müller
49
2
0
31 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Becková
Stefan Pócos
Giulia Belgiovine
Marco Matarese
A. Sciutti
Carlo Mazzola
Carlo Mazzola
42
0
0
20 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
68
5
0
02 May 2024
From "AI" to Probabilistic Automation: How Does Anthropomorphization of
  Technical Systems Descriptions Influence Trust?
From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
Nanna Inie
Stefania Druga
Peter Zukerman
Emily M. Bender
24
20
0
08 Apr 2024
What is the focus of XAI in UI design? Prioritizing UI design principles
  for enhancing XAI user experience
What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience
Dian Lei
Yao He
Jianyou Zeng
46
1
0
21 Feb 2024
Dissecting users' needs for search result explanations
Dissecting users' needs for search result explanations
Prerna Juneja
Wenjuan Zhang
Alison Smith-Renner
Hemank Lamba
Joel R. Tetreault
Alex Jaimes
FAtt
31
5
0
29 Jan 2024
Toward enriched Cognitive Learning with XAI
Toward enriched Cognitive Learning with XAI
M. Nizami
Ulrike Kuhl
J. Alonso-Moral
Alessandro Bogliolo
32
1
0
19 Dec 2023
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
Usability and Adoption of Graphical Data-Driven Development Tools
Usability and Adoption of Graphical Data-Driven Development Tools
Thomas Weber
Sven Mayer
17
0
0
09 Nov 2023
Evaluating Chatbots to Promote Users' Trust -- Practices and Open
  Problems
Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
Biplav Srivastava
Kausik Lakkaraju
T. Koppel
Vignesh Narayanan
Ashish Kundu
Sachindra Joshi
37
2
0
09 Sep 2023
Towards a Comprehensive Human-Centred Evaluation Framework for
  Explainable AI
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
53
6
0
31 Jul 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
34
12
0
26 Jul 2023
Choose your Data Wisely: A Framework for Semantic Counterfactuals
Choose your Data Wisely: A Framework for Semantic Counterfactuals
Edmund Dervakos
Konstantinos Thomas
Giorgos Filandrianos
Giorgos Stamou
AAML
32
6
0
28 May 2023
A Survey of Explainable AI and Proposal for a Discipline of Explanation
  Engineering
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
Clive Gomes
Lalitha Natraj
Shijun Liu
Anushka Datta
21
0
0
20 May 2023
Explanation Strategies for Image Classification in Humans vs. Current
  Explainable AI
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI
Ruoxi Qi
Yueyuan Zheng
Yi Yang
Caleb Chen Cao
J. H. Hsiao
38
5
0
10 Apr 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case,
  Algorithm and User Study for Group-Counterfactuals
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
26
13
0
16 Mar 2023
Explaining Model Confidence Using Counterfactuals
Explaining Model Confidence Using Counterfactuals
Thao Le
Tim Miller
Ronal Singh
L. Sonenberg
21
4
0
10 Mar 2023
Explainable Goal Recognition: A Framework Based on Weight of Evidence
Explainable Goal Recognition: A Framework Based on Weight of Evidence
Abeer Alshehri
Tim Miller
Mor Vered
50
3
0
09 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for
  Reinforcement Learning
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning
Jasmina Gajcin
Ivana Dusparic
CML
32
3
0
08 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
31
1
0
06 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A
  Survey and a Mapping Function Proposal
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
M. Hashemi
Ali Darejeh
Francisco Cruz
47
3
0
07 Feb 2023
Advances in Automatically Rating the Trustworthiness of Text Processing
  Services
Advances in Automatically Rating the Trustworthiness of Text Processing Services
Biplav Srivastava
Kausik Lakkaraju
Mariana Bernagozzi
Marco Valtorta
30
6
0
04 Feb 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai
Guy Avni
Ofra Amir
47
3
0
24 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
49
105
0
18 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI
  Methodologies
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies
Pradyumna Tambwekar
Matthew C. Gombolay
41
8
0
13 Jan 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim
Tanhim Islam
Oya Beyan
Christoph Lange
Michael Cochez
Dietrich-Rebholz Schuhmann
Stefan Decker
34
68
0
25 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and
  Machine Explanations Differ
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
40
16
0
16 Dec 2022
Interpretable ML for Imbalanced Data
Interpretable ML for Imbalanced Data
Damien Dablain
C. Bellinger
Bartosz Krawczyk
D. Aha
Nitesh Chawla
24
1
0
15 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
31
39
0
07 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review
Attribution-based XAI Methods in Computer Vision: A Review
Kumar Abhishek
Deeksha Kamath
35
18
0
27 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors
  and Decision Tree for CNN Models
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models
Gayda Mutahar
Tim Miller
FAtt
29
6
0
19 Nov 2022
Behaviour Trees for Creating Conversational Explanation Experiences
Behaviour Trees for Creating Conversational Explanation Experiences
A. Wijekoon
D. Corsar
Nirmalie Wiratunga
27
3
0
11 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep
  Reinforcement Learning
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
18
0
0
11 Nov 2022
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
32
3
0
31 Oct 2022
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing
Swastika Roy
Hatim Chergui
C. Verikoukis
18
3
0
18 Oct 2022
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