Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/explainable-artificial-intelligence-and-social-science-further-CmoaJuy8Y9
References (57)
-
Q Zhang, S Zhu (2018)
Visual interpretability for deep learning: a survey, 19
-
B Ustun, C Rudin (2016)
Supersparse linear integer models for optimized medical scoring systems, 102
-
P Atkinson, S Delamont (2010)
SAGE Qualitative Research Methods -
J Saldaña (2013)
The Coding Manual for Qualitative Researchers (2nd Ed.) -
MJ Druzdzel (1996)
Qualitative verbal explanations in Bayesian belief networks, 94
-
MQ Patton (2003)
Qualitative evaluation checklist, 21
-
BC Kwon, MJ Choi, JT Kim (2018)
Retainvis: visual analytics with interpretable and interactive recurrent neural networks on electronic medical records, 25
-
C Jacob (1960)
A coefficient of agreement for nominal scales, 20
-
P Jennifer, S Helen, R Yvonne (2019)
Interaction Design: Beyond Human?Computer Interaction -
J Lazar, J Feng, H Hochheiser (2017)
Research Methods in Human?Computer Interaction (2nd Ed.) -
M Bennett Edward, R Alpert, AC Goldstein (1954)
Communications through limited?response questioning, 18
-
M Neville (1987)
Intelligent aids, mental models, and the theory of machines, 27
-
R Hoffman Robert, T Mueller Shane, K Gary (2017)
Explaining explanation, part 2: empirical foundations, 32
-
A Arrieta, N Díaz‐Rodríguez, J Del Ser (2020)
Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI, 58
-
K Ericsson (1984)
Protocol Analysis: Verbal Reports as Data -
D Gunning, DW Aha (2019)
DARPA?s explainable artificial intelligence program, 40
-
T Miller (2019)
Explanation in artificial intelligence: insights from the social sciences, 267
-
K Todd, S Simone, W Weng‐Keen (2011)
Why?oriented end?user debugging of naive Bayes text classification, 1
-
E Osgood Charles (1959)
Trends in content analysis -
L Leech Nancy, AJ Onwuegbuzie (2009)
A typology of mixed methods research designs, 43
-
H Karen, B Hugh (1998)
Contextual Design: Defining Customer?Centered Systems -
B Virginia, C Victoria (2006)
Using thematic analysis in psychology, 3
-
W Xu (2019)
Toward human?centered AI: a perspective from human?computer interaction, 26
-
C Mahoney (1997)
The User?Friendly Handbook for Mixed Method Evaluations -
DL Morgan (1997)
Qualitative Research Methods: Focus Groups as Qualitative Research -
KD Forbus (1984)
Qualitative process theory, 24
-
T Arianne, M Tina, S‐H Terese, W Anupma, V Lara (2015)
Choosing a qualitative research approach, 7
-
D Gunning, M Stefik, J Choi, T Miller, S Stumpf, G‐Z Yang (2019)
XAI?explainable artificial intelligence, 4
-
YS Lincoln, EG Guba (1985)
Naturalistic Inquiry -
G Glaser Barney, AL Strauss (1967)
The Discovery of Grounded Theory: Strategies for Qualitative Research -
SN Payrovnaziri, Z Chen, P Rengifo‐Moreno (2020)
Explainable artificial intelligence models using real?world electronic health record data: a systematic scoping review, 27
-
C Seale (1999)
Quality in qualitative research, 5
-
A Adadi, M Berrada (2018)
Peeking inside the black?box: a survey on explainable artificial intelligence (XAI), 6
-
BW Israelsen, NR Ahmed (2019)
Dave? I can assure you? that it?s going to be all right?a definition, case for, and survey of algorithmic assurances in human?autonomy trust relationships, 51
-
P Liamputtong (2011)
Focus Group Methodology: Principles and Practice -
D Jensen (2008)
The SAGE Encyclopedia of Qualitative Research Methods -
T Chuck, F Malle Bertram (2006)
Explaining the Past, Predicting the Future -
MT Dzindolet, LG Pierce, HP Beck, LA Dawe (2002)
The perceived utility of human and automated aids in a visual detection task, 44
-
E Guba (1981)
Criteria for assessing the trustworthiness of naturalistic inquiries, 29
-
U Flick (2018)
The SAGE Handbook of Qualitative Data Collection -
A Chadia, M‐K Diane, P Jenny (2004)
Berkshire Encyclopedia of Human?Computer Interaction -
ZC Lipton (2018)
The mythos of model interpretability: in machine learning, the concept of interpretability is both important and slippery, 16
-
M Kenny Eoin, F Courtney, Q Molly (2021)
Keane mark T explaining black?box classifiers using post?hoc explanations?by?example: the effect of explanations and error?rates in XAI user studies, 294
-
A Hilary, O’M Lisa (2005)
Scoping studies: towards a methodological framework, 8
-
R Dingwall, E Murphy, P Watson, D Greatbatch, S Parker (1998)
Catching goldfish: quality in qualitative research, 3
-
R Hoffman Robert, K Gary (2017)
Explaining explanation, part 1: theoretical foundations, 32
-
MB Miles, AM Huberman, J Saldaña (2020)
Qualitative Data Analysis: A Methods Sourcebook (4th Ed.) -
U Flick (2007)
Qualitative Research Kit: Managing Quality in Qualitative Research -
R Guidotti, A Monreale, S Ruggieri, F Turini, F Giannotti, D Pedreschi (2018)
A survey of methods for explaining black box models, 51
-
N Mays, C Pope (2000)
Qualitative research in health care: assessing quality in qualitative research, 320
-
M Harriet (1838)
How to Observe Morals and Manners -
SJ Tracy (2010)
Qualitative quality: eight ?big?tent? criteria for excellent qualitative research, 16
-
P Judea (1988)
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference -
MT Dzindolet, SA Peterson, RA Pomranky, LG Pierce, HP Beck (2003)
The role of Trust in Automation Reliance, 58
-
D Dónal, C Pádraig, W Paul (2006)
An evaluation of the usefulness of explanation in a case?based reasoning system for decision support in bronchiolitis treatment, 22
-
B Antony, C Kathy (2007)
The SAGE Handbook of Grounded Theory -
F Sørmo, J Cassens, A Aamodt (2005)
Explanation in case?based reasoning?perspectives and goals, 24
- Publisher
- Wiley
- Copyright
- © 2022 The Authors. Applied AI Letters published by John Wiley & Sons Ltd
- eISSN
- 2689-5595
- DOI
- 10.1002/ail2.64
- Publisher site
- See Article on Publisher Site
Abstract
Journal
Applied AI Letters – Wiley
Published: Feb 1, 2022
Keywords: explainable artificial intelligence; qualitative investigation; rigor; user studies