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European Union regulations on algorithmic decision-making and a "right
  to explanation"
v1v2v3 (latest)

European Union regulations on algorithmic decision-making and a "right to explanation"

28 June 2016
B. Goodman
Seth Flaxman
    FaMLAILaw
ArXiv (abs)PDFHTML

Papers citing "European Union regulations on algorithmic decision-making and a "right to explanation""

50 / 528 papers shown
Never a Dull Moment: Distributional Properties as a Baseline for
  Time-Series Classification
Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification
Trent Henderson
Annie G. Bryant
Ben D. Fulcher
OOD
127
6
0
31 Mar 2023
Dermatologist-like explainable AI enhances trust and confidence in
  diagnosing melanoma
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanomaNature Communications (Nat. Commun.), 2023
T. Chanda
Katja Hauser
S. Hobelsberger
Tabea-Clara Bucher
Carina Nogueira Garcia
...
J. Utikal
K. Ghoreschi
S. Fröhling
E. Krieghoff-Henning
T. Brinker
185
112
0
17 Mar 2023
From Compass and Ruler to Convolution and Nonlinearity: On the
  Surprising Difficulty of Understanding a Simple CNN Solving a Simple
  Geometric Estimation Task
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task
Thomas Dagès
M. Lindenbaum
A. Bruckstein
SSL
76
2
0
12 Mar 2023
On the Soundness of XAI in Prognostics and Health Management (PHM)
On the Soundness of XAI in Prognostics and Health Management (PHM)
D. Martín
Juan Galán Páez
J. Borrego-Díaz
141
18
0
09 Mar 2023
Requirements Engineering Framework for Human-centered Artificial
  Intelligence Software Systems
Requirements Engineering Framework for Human-centered Artificial Intelligence Software SystemsApplied Soft Computing (Appl. Soft Comput.), 2023
Khlood Ahmad
Mohamed Abdelrazek
Chetan Arora
Arbind Agrahari Baniya
Muneera Bano
John C. Grundy
134
35
0
06 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation
CoRTX: Contrastive Framework for Real-time ExplanationInternational Conference on Learning Representations (ICLR), 2023
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Helen Zhou
236
24
0
05 Mar 2023
A Practical Upper Bound for the Worst-Case Attribution Deviations
A Practical Upper Bound for the Worst-Case Attribution DeviationsComputer Vision and Pattern Recognition (CVPR), 2023
Fan Wang
A. Kong
AAML
275
5
0
01 Mar 2023
Dermatological Diagnosis Explainability Benchmark for Convolutional
  Neural Networks
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
Raluca Jalaboi
Ole Winther
A. Galimzianova
FAtt
206
3
0
23 Feb 2023
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI
  Act?
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?European Conference on Artificial Intelligence (ECAI), 2023
Bálint Gyevnár
Nick Ferguson
Burkhard Schafer
319
28
0
21 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs
Less is More: The Influence of Pruning on the Explainability of CNNs
David Weber
F. Merkle
Pascal Schöttle
Stephan Schlögl
Martin Nocker
FAtt
525
5
0
17 Feb 2023
Experimenting with Emerging RISC-V Systems for Decentralised Machine
  Learning
Experimenting with Emerging RISC-V Systems for Decentralised Machine LearningACM International Conference on Computing Frontiers (CF), 2023
Gianluca Mittone
Nicolò Tonci
Robert Birke
Iacopo Colonnelli
Doriana Medić
...
Francesco Beneventi
Mirko Polato
Massimo Torquati
Luca Benini
Marco Aldinucci
190
16
0
15 Feb 2023
Explaining text classifiers through progressive neighborhood
  approximation with realistic samples
Explaining text classifiers through progressive neighborhood approximation with realistic samples
Yi Cai
Arthur Zimek
Eirini Ntoutsi
Gerhard Wunder
AI4TS
214
0
0
11 Feb 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 ProposalACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
M. Hashemi
Ali Darejeh
Francisco Cruz
359
4
0
07 Feb 2023
An investigation of challenges encountered when specifying training data
  and runtime monitors for safety critical ML applications
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications
Hans-Martin Heyn
E. Knauss
Iswarya Malleswaran
Shruthi Dinakaran
201
9
0
31 Jan 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for
  Semi-Factual XAI
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAIInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Saugat Aryal
Markt. Keane
235
28
0
27 Jan 2023
Uncertainty Quantification for Local Model Explanations Without Model
  Access
Uncertainty Quantification for Local Model Explanations Without Model Access
Surin Ahn
J. Grana
Yafet Tamene
Kristian Holsheimer
FAtt
251
1
0
13 Jan 2023
A Quantum Algorithm for Shapley Value Estimation
A Quantum Algorithm for Shapley Value EstimationInternational Conference on Quantum Computing and Engineering (QCE), 2023
Iain Burge
Michel Barbeau
Joaquín García
134
3
0
11 Jan 2023
A Theoretical Framework for AI Models Explainability with Application in
  Biomedicine
A Theoretical Framework for AI Models Explainability with Application in BiomedicineIEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022
Matteo Rizzo
Alberto Veneri
A. Albarelli
Claudio Lucchese
Marco Nobile
Cristina Conati
XAI
262
13
0
29 Dec 2022
Provable Robust Saliency-based Explanations
Provable Robust Saliency-based Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
AAMLFAtt
415
1
0
28 Dec 2022
Introduction to Machine Learning for Physicians: A Survival Guide for
  Data Deluge
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
OODLM&MAFedML
135
2
0
23 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and
  Machine Explanations Differ
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations DifferArtificial Intelligence (AI), 2022
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
262
21
0
16 Dec 2022
Robust Explanation Constraints for Neural Networks
Robust Explanation Constraints for Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Matthew Wicker
Juyeon Heo
Luca Costabello
Adrian Weller
FAtt
235
23
0
16 Dec 2022
A Hybrid Statistical-Machine Learning Approach for Analysing Online
  Customer Behavior: An Empirical Study
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study
Saed Alizami
Kasun Bandara
A. Eshragh
Foaad Iravani
159
1
0
01 Dec 2022
Optimizing Explanations by Network Canonization and Hyperparameter
  Search
Optimizing Explanations by Network Canonization and Hyperparameter Search
Frederik Pahde
Galip Umit Yolcu
Alexander Binder
Wojciech Samek
Sebastian Lapuschkin
297
12
0
30 Nov 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels
  Required for Intracranial Hemorrhage Detection on Head CT
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT
Jacopo Teneggi
Paul H. Yi
Jeremias Sulam
160
4
0
29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review
Attribution-based XAI Methods in Computer Vision: A Review
Kumar Abhishek
Deeksha Kamath
154
26
0
27 Nov 2022
Explainable Artificial Intelligence (XAI) from a user perspective- A
  synthesis of prior literature and problematizing avenues for future research
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future researchTechnological forecasting & social change (TFSC), 2022
Akm Bahalul Haque
A. Najmul Islam
Patrick Mikalef
XAI
162
149
0
24 Nov 2022
Reconnoitering the class distinguishing abilities of the features, to know them better
Payel Sadhukhan
S. Palit
Kausik Sengupta
174
1
0
23 Nov 2022
Revealing Hidden Context Bias in Segmentation and Object Detection
  through Concept-specific Explanations
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
Maximilian Dreyer
Reduan Achtibat
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
189
28
0
21 Nov 2022
Supervised Feature Compression based on Counterfactual Analysis
Supervised Feature Compression based on Counterfactual AnalysisEuropean Journal of Operational Research (EJOR), 2022
V. Piccialli
Dolores Romero Morales
Cecilia Salvatore
CML
257
2
0
17 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and
  Opportunities for Research in Construction
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in ConstructionAdvanced Engineering Informatics (AEI), 2022
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
202
10
0
12 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement
  Learning
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning
Tom He
Jasmina Gajcin
Ivana Dusparic
CML
305
5
0
02 Nov 2022
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRMXAI
474
59
0
24 Oct 2022
Learning to Advise Humans in High-Stakes Settings
Learning to Advise Humans in High-Stakes Settings
Nicholas Wolczynski
M. Saar-Tsechansky
Tong Wang
173
1
0
23 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning:
  Overview, Challenges and Opportunities
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Jasmina Gajcin
Ivana Dusparic
CMLOffRL
360
22
0
21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for
  Model Explanations
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
359
163
0
20 Oct 2022
Mitigating Covertly Unsafe Text within Natural Language Systems
Mitigating Covertly Unsafe Text within Natural Language SystemsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Alex Mei
Anisha Kabir
Sharon Levy
Melanie Subbiah
Emily Allaway
J. Judge
D. Patton
Bruce Bimber
Kathleen McKeown
William Yang Wang
317
13
0
17 Oct 2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of
  Deep Neural Networks
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural NetworksPatterns (Patterns), 2022
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
B. Zhang
linda Qiao
152
10
0
06 Oct 2022
Sparse PCA With Multiple Components
Sparse PCA With Multiple Components
Ryan Cory-Wright
J. Pauphilet
435
2
0
29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations
Causal Proxy Models for Concept-Based Model ExplanationsInternational Conference on Machine Learning (ICML), 2022
Zhengxuan Wu
Karel DÓosterlinck
Atticus Geiger
Amir Zur
Christopher Potts
MILM
185
39
0
28 Sep 2022
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 classificationKnowledge-Based Systems (KBS), 2022
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
223
32
0
26 Sep 2022
Augmenting Interpretable Models with LLMs during Training
Augmenting Interpretable Models with LLMs during TrainingNature Communications (Nat Commun), 2022
Chandan Singh
Armin Askari
R. Caruana
Jianfeng Gao
291
67
0
23 Sep 2022
Open Challenges in Synthetic Speech Detection
Open Challenges in Synthetic Speech DetectionInternational Workshop on Information Forensics and Security (WIFS), 2022
Luca Cuccovillo
Christoforos Papastergiopoulos
Anastasios Vafeiadis
Artem Yaroshchuk
P. Aichroth
K. Votis
Dimitrios Tzovaras
232
32
0
15 Sep 2022
Explainable Image Quality Assessments in Teledermatological Photography
Explainable Image Quality Assessments in Teledermatological PhotographyTelemedicine journal and e-health (Telemed J E Health), 2022
Raluca Jalaboi
Ole Winther
A. Galimzianova
MedIm
130
13
0
10 Sep 2022
Explaining Results of Multi-Criteria Decision Making
Explaining Results of Multi-Criteria Decision MakingJournal of Multi-Criteria Decision Analysis (MCDA), 2022
Martin Erwig
Prashant Kumar
28
0
0
10 Sep 2022
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Regulating eXplainable Artificial Intelligence (XAI) May Harm ConsumersMarketing science (Providence, R.I.) (MSPRI), 2022
Behnam Mohammadi
Nikhil Malik
Timothy P. Derdenger
K. Srinivasan
201
6
0
07 Sep 2022
Tackling problems, harvesting benefits -- A systematic review of the
  regulatory debate around AI
Tackling problems, harvesting benefits -- A systematic review of the regulatory debate around AI
Anja Folberth
J. Jahnel
Jascha Bareis
C. Orwat
Christian Wadephul
79
4
0
07 Sep 2022
"Mama Always Had a Way of Explaining Things So I Could Understand'': A
  Dialogue Corpus for Learning to Construct Explanations
"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct ExplanationsInternational Conference on Computational Linguistics (COLING), 2022
Henning Wachsmuth
Milad Alshomary
183
14
0
06 Sep 2022
The Best Decisions Are Not the Best Advice: Making Adherence-Aware
  Recommendations
The Best Decisions Are Not the Best Advice: Making Adherence-Aware RecommendationsManagement Sciences (MS), 2022
Julien Grand-Clément
Jean Pauphilet
OffRL
383
16
0
05 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in ResearchIEEE Access (IEEE Access), 2022
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
248
260
0
31 Aug 2022
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