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Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to
  Stop Worrying and Love the Social and Behavioural Sciences
v1v2 (latest)

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

2 December 2017
Tim Miller
Piers Howe
L. Sonenberg
    AI4TSSyDa
ArXiv (abs)PDFHTML

Papers citing "Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences"

27 / 127 papers shown
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
343
71
0
18 May 2020
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model AnalysisData mining and knowledge discovery (DMKD), 2020
Hubert Baniecki
Dariusz Parzych
P. Biecek
324
53
0
01 May 2020
Towards Explainability of Machine Learning Models in Insurance Pricing
Towards Explainability of Machine Learning Models in Insurance Pricing
Kevin Kuo
Danielle L. Lupton
180
15
0
24 Mar 2020
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)Minds and Machines (MM), 2019
Andrés Páez
210
217
0
22 Feb 2020
What Would You Ask the Machine Learning Model? Identification of User
  Needs for Model Explanations Based on Human-Model Conversations
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations
Michal Kuzba
P. Biecek
HAI
150
25
0
07 Feb 2020
One Explanation Does Not Fit All: The Promise of Interactive
  Explanations for Machine Learning Transparency
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
Kacper Sokol
Peter A. Flach
171
193
0
27 Jan 2020
Explainability Fact Sheets: A Framework for Systematic Assessment of
  Explainable Approaches
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
Kacper Sokol
Peter A. Flach
XAI
310
336
0
11 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIInformation Fusion (Inf. Fusion), 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
961
7,578
0
22 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations
FACE: Feasible and Actionable Counterfactual ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
Rafael Poyiadzi
Kacper Sokol
Raúl Santos-Rodríguez
T. D. Bie
Peter A. Flach
306
427
0
20 Sep 2019
Why Does My Model Fail? Contrastive Local Explanations for Retail
  Forecasting
Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting
Ana Lucic
H. Haned
Maarten de Rijke
243
72
0
17 Jul 2019
Mediation Challenges and Socio-Technical Gaps for Explainable Deep
  Learning Applications
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
R. Brandão
J. Carbonera
C. D. Souza
J. Ferreira
Bernardo Gonçalves
C. Leitão
122
12
0
16 Jul 2019
PreCall: A Visual Interface for Threshold Optimization in ML Model
  Selection
PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
C. Kinkeldey
Claudia Muller-Birn
Tom Gülenman
J. Benjamin
Aaron L Halfaker
AI4TS
77
2
0
11 Jul 2019
On the Semantic Interpretability of Artificial Intelligence Models
On the Semantic Interpretability of Artificial Intelligence Models
V. S. Silva
André Freitas
Siegfried Handschuh
AI4CE
139
9
0
09 Jul 2019
Generating User-friendly Explanations for Loan Denials using GANs
Generating User-friendly Explanations for Loan Denials using GANs
Ramya Srinivasan
Ajay Chander
Pouya Pezeshkpour
FaML
81
16
0
24 Jun 2019
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task
  Learning
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning
Noel Codella
Michael Hind
Karthikeyan N. Ramamurthy
Murray Campbell
Amit Dhurandhar
Kush R. Varshney
Dennis L. Wei
Aleksandra Mojsilović
118
4
0
05 Jun 2019
A Grounded Interaction Protocol for Explainable Artificial Intelligence
A Grounded Interaction Protocol for Explainable Artificial IntelligenceAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Prashan Madumal
Tim Miller
L. Sonenberg
F. Vetere
165
104
0
05 Mar 2019
LEAFAGE: Example-based and Feature importance-based Explanationsfor
  Black-box ML models
LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models
Ajaya Adhikari
David Tax
R. Satta
M. Faeth
FAtt
203
11
0
21 Dec 2018
TED: Teaching AI to Explain its Decisions
TED: Teaching AI to Explain its Decisions
Michael Hind
Dennis L. Wei
Murray Campbell
Noel Codella
Amit Dhurandhar
Aleksandra Mojsilović
Karthikeyan N. Ramamurthy
Kush R. Varshney
226
115
0
12 Nov 2018
Explaining Explanations in AI
Explaining Explanations in AI
Brent Mittelstadt
Chris Russell
Sandra Wachter
XAI
338
724
0
04 Nov 2018
Towards a Grounded Dialog Model for Explainable Artificial Intelligence
Towards a Grounded Dialog Model for Explainable Artificial Intelligence
Prashan Madumal
Tim Miller
F. Vetere
L. Sonenberg
120
34
0
21 Jun 2018
Contrastive Explanations with Local Foil Trees
Contrastive Explanations with Local Foil Trees
J. V. D. Waa
M. Robeer
J. Diggelen
Matthieu J. S. Brinkhuis
Mark Antonius Neerincx
FAtt
164
88
0
19 Jun 2018
Teaching Meaningful Explanations
Teaching Meaningful Explanations
Noel Codella
Michael Hind
Karthikeyan N. Ramamurthy
Murray Campbell
Amit Dhurandhar
Kush R. Varshney
Dennis L. Wei
Aleksandra Mojsilović
FAttXAI
213
7
0
29 May 2018
Faithfully Explaining Rankings in a News Recommender System
Faithfully Explaining Rankings in a News Recommender System
Maartje ter Hoeve
Anne Schuth
Daan Odijk
Maarten de Rijke
OffRL
119
24
0
14 May 2018
Manipulating and Measuring Model Interpretability
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh
D. Goldstein
Jake M. Hofman
Jennifer Wortman Vaughan
Hanna M. Wallach
367
769
0
21 Feb 2018
Plan Explanations as Model Reconciliation -- An Empirical Study
Plan Explanations as Model Reconciliation -- An Empirical Study
Tathagata Chakraborti
S. Sreedharan
Sachin Grover
S. Kambhampati
150
48
0
03 Feb 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
210
814
0
28 Dec 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
825
4,852
0
22 Jun 2017
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