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1606.08813
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European Union regulations on algorithmic decision-making and a "right to explanation"
28 June 2016
B. Goodman
Seth Flaxman
FaML
AILaw
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Papers citing
"European Union regulations on algorithmic decision-making and a "right to explanation""
50 / 528 papers shown
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362
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22 Aug 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights
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214
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ferret: a Framework for Benchmarking Explainers on Transformers
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Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm
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18 Jul 2022
Fairness and Bias in Robot Learning
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288
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The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
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122
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06 Jul 2022
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
European Symposium on Security and Privacy (Euro S&P), 2022
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Chen Ling
Pujan Paudel
Poojitha Thota
Nihal Kumarswamy
Gianluca Stringhini
Shirin Nilizadeh
273
43
0
29 Jun 2022
Private Graph Extraction via Feature Explanations
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Iyiola E. Olatunji
Mandeep Rathee
Thorben Funke
Megha Khosla
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208
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0
29 Jun 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI
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Holger Trittenbach
M. Poznic
Reinhard Heil
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175
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28 Jun 2022
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Kit T. Rodolfa
Sérgio Jesus
Valerie Chen
Vladimir Balayan
Pedro Saleiro
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Ameet Talwalkar
Rayid Ghani
214
0
0
24 Jun 2022
Robustness of Explanation Methods for NLP Models
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Tejas Chheda
Dinesh Kandula
Nishant Yadav
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Hessel Tuinhof
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157
4
0
24 Jun 2022
Visualizing and Understanding Contrastive Learning
IEEE Transactions on Image Processing (IEEE TIP), 2022
Fawaz Sammani
Boris Joukovsky
Nikos Deligiannis
SSL
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210
17
0
20 Jun 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
International Journal of Information Management (IJIM), 2022
L. Herm
Kai Heinrich
Jonas Wanner
Christian Janiesch
174
109
0
20 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
International Conference on Machine Learning (ICML), 2022
Guanchu Wang
Yu-Neng Chuang
Mengnan Du
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Helen Zhou
FAtt
229
25
0
17 Jun 2022
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark
Mohamed Karim Belaid
Eyke Hüllermeier
Maximilian Rabus
Ralf Krestel
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169
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08 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Reduan Achtibat
Maximilian Dreyer
Ilona Eisenbraun
S. Bosse
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
FAtt
234
195
0
07 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
S. Wäldchen
Kartikey Sharma
Berkant Turan
Max Zimmer
Sebastian Pokutta
FAtt
338
8
0
01 Jun 2022
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Alexander E. I. Brownlee
David Cairns
206
13
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31 May 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
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Eldar David Abraham
Karel DÓosterlinck
Amir Feder
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Christopher Potts
Roi Reichart
Zhengxuan Wu
CML
266
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0
27 May 2022
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction
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Sharadhi Alape Suryanarayana
David Sarne
Bar-Ilan
224
8
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24 May 2022
Argumentative Explanations for Pattern-Based Text Classifiers
Piyawat Lertvittayakumjorn
Francesca Toni
269
5
0
22 May 2022
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score
John P. Lalor
Hong Guo
90
1
0
20 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice
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A. Saxena
M. Tavakol
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Mykola Pechenizkiy
FaML
OffRL
276
19
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20 May 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
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Fan Wang
A. Kong
313
11
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15 May 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms
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Gabriel Lima
Nina Grgić-Hlavca
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M. Cha
123
45
0
11 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey
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Cristiano Patrício
João C. Neves
Luís F. Teixeira
XAI
263
101
0
10 May 2022
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Journal of Biomedical Informatics (JBI), 2022
Leibo Liu
Óscar Pérez
Anthony N. Nguyen
Vicki Bennett
Louisa R Jorm
217
37
0
22 Apr 2022
The Risks of Machine Learning Systems
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Araz Taeihagh
K. Baxter
130
7
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21 Apr 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments
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Jože M. Rožanec
Elena Trajkova
I. Novalija
Patrik Zajec
K. Kenda
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Dunja Mladenić
161
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12 Apr 2022
Explain yourself! Effects of Explanations in Human-Robot Interaction
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2022
Jakob Ambsdorf
A. Munir
Yiyao Wei
Klaas Degkwitz
Harm Matthias Harms
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Tom Weber
S. Wermter
178
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09 Apr 2022
Concept Embedding Analysis: A Review
Gesina Schwalbe
191
30
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25 Mar 2022
Explainability in reinforcement learning: perspective and position
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Mario Brčič
T. Lipić
Juraj Dončević
285
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22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
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M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAML
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234
21
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21 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
International Journal of Production Research (IJPR), 2022
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
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Dunja Mladenić
John Soldatos
3DV
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208
179
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21 Mar 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
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233
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16 Mar 2022
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Wei-Cheng Lai
Bjoern M. Eskofier
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384
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127
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154
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198
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Achieving Fairness at No Utility Cost via Data Reweighing with Influence
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275
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94
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295
0
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330
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244
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235
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Seth Flaxman
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88
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Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment
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Bastian Pfeifer
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149
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0
27 Dec 2021
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Eyke Hüllermeier
111
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15 Dec 2021
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