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What Does Explainable AI Really Mean? A New Conceptualization of
  Perspectives

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

2 October 2017
Derek Doran
Sarah Schulz
Tarek R. Besold
    XAI
ArXivPDFHTML

Papers citing "What Does Explainable AI Really Mean? A New Conceptualization of Perspectives"

28 / 28 papers shown
Title
Actionable AI: Enabling Non Experts to Understand and Configure AI Systems
Cécile Boulard
Sruthi Viswanathan
Wanda Fey
Thierry Jacquin
36
0
0
09 Mar 2025
A Mechanistic Explanatory Strategy for XAI
A Mechanistic Explanatory Strategy for XAI
Marcin Rabiza
48
1
0
02 Nov 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
67
28
0
30 Aug 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron
  Activation Analysis
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal
R. Rayan
Adrita Barua
Eugene Y. Vasserman
Md Kamruzzaman Sarker
Pascal Hitzler
27
4
0
21 Apr 2024
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges
  during Co-production of Responsible AI Values
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
R. Varanasi
Nitesh Goyal
28
46
0
14 Jul 2023
Assisting clinical practice with fuzzy probabilistic decision trees
Assisting clinical practice with fuzzy probabilistic decision trees
Emma L. Ambags
G. Capitoli
Vincenzo L' Imperio
M. Provenzano
M. S. Nobile
Pietro Lió
6
3
0
16 Apr 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
26
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
40
3
0
07 Feb 2023
Towards Rigorous Understanding of Neural Networks via
  Semantics-preserving Transformations
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
21
6
0
19 Jan 2023
Greybox XAI: a Neural-Symbolic learning framework to produce
  interpretable predictions for image classification
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
25
29
0
26 Sep 2022
A Gaze into the Internal Logic of Graph Neural Networks, with Logic
A Gaze into the Internal Logic of Graph Neural Networks, with Logic
Paul Tarau
NAI
16
2
0
05 Aug 2022
Why we do need Explainable AI for Healthcare
Why we do need Explainable AI for Healthcare
Giovanni Cina
Tabea E. Rober
Rob Goedhart
Ilker Birbil
30
14
0
30 Jun 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DV
AI4CE
32
119
0
21 Mar 2022
A Practical guide on Explainable AI Techniques applied on Biomedical use
  case applications
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications
Adrien Bennetot
Ivan Donadello
Ayoub El Qadi
M. Dragoni
Thomas Frossard
...
M. Trocan
Raja Chatila
Andreas Holzinger
Artur Garcez
Natalia Díaz Rodríguez
XAI
24
7
0
13 Nov 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A
  Systematic Literature Review and Future Potentials
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials
Newsha Emaminejad
Reza Akhavian
25
48
0
27 Sep 2021
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery
  Detection And Segmentation In-The-Wild
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
Trung-Nghia Le
H. Nguyen
Junichi Yamagishi
Isao Echizen
AAML
36
59
0
30 Jul 2021
Semantic Reasoning from Model-Agnostic Explanations
Semantic Reasoning from Model-Agnostic Explanations
Timen Stepisnik Perdih
Nada Lavrac
Blaž Škrlj
LRM
25
4
0
29 Jun 2021
Counterfactuals and Causability in Explainable Artificial Intelligence:
  Theory, Algorithms, and Applications
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
Yu-Liang Chou
Catarina Moreira
P. Bruza
Chun Ouyang
Joaquim A. Jorge
CML
42
176
0
07 Mar 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A
  Stakeholder Perspective on XAI and a Conceptual Model Guiding
  Interdisciplinary XAI Research
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
56
415
0
15 Feb 2021
Sequential Explanations with Mental Model-Based Policies
Sequential Explanations with Mental Model-Based Policies
A. Yeung
Shalmali Joshi
Joseph Jay Williams
Frank Rudzicz
FAtt
LRM
28
15
0
17 Jul 2020
When stakes are high: balancing accuracy and transparency with
  Model-Agnostic Interpretable Data-driven suRRogates
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
Roel Henckaerts
Katrien Antonio
Marie-Pier Côté
18
3
0
14 Jul 2020
Directions for Explainable Knowledge-Enabled Systems
Directions for Explainable Knowledge-Enabled Systems
Shruthi Chari
Daniel Gruen
O. Seneviratne
D. McGuinness
XAI
16
32
0
17 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
S. Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
37
6,109
0
22 Oct 2019
Explainability in Human-Agent Systems
Explainability in Human-Agent Systems
A. Rosenfeld
A. Richardson
XAI
21
203
0
17 Apr 2019
Stacked Penalized Logistic Regression for Selecting Views in Multi-View
  Learning
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning
Lingbing Guo
M. Fokkema
E. Cao
M. Rooij
14
21
0
06 Nov 2018
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach
A. C. Gusmão
Alvaro H. C. Correia
Glauber De Bona
Fabio Gagliardi Cozman
11
22
0
20 Jun 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and
  Challenges
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges
Gabrielle Ras
Marcel van Gerven
W. Haselager
XAI
17
217
0
20 Mar 2018
What do we need to build explainable AI systems for the medical domain?
What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger
Chris Biemann
C. Pattichis
D. Kell
28
680
0
28 Dec 2017
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