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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
Rethinking Interpretability in the Era of Large Language Models
Rethinking Interpretability in the Era of Large Language Models
Chandan Singh
J. Inala
Michel Galley
Rich Caruana
Jianfeng Gao
LRMAI4CE
296
106
0
30 Jan 2024
Towards Consistent Natural-Language Explanations via
  Explanation-Consistency Finetuning
Towards Consistent Natural-Language Explanations via Explanation-Consistency FinetuningInternational Conference on Computational Linguistics (COLING), 2024
Yanda Chen
Chandan Singh
Xiaodong Liu
Simiao Zuo
Bin Yu
He He
Jianfeng Gao
LRM
177
22
0
25 Jan 2024
Legal and ethical implications of applications based on agreement
  technologies: the case of auction-based road intersections
Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections
José-Antonio Santos
Alberto Fernández
Mar Moreno-Rebato
Holger Billhardt
José-A. Rodríguez-García
Sascha Ossowski
131
3
0
18 Jan 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
TVE: Learning Meta-attribution for Transferable Vision Explainer
Guanchu Wang
Yu-Neng Chuang
Fan Yang
Mengnan Du
Chia-Yuan Chang
...
Zirui Liu
Zhaozhuo Xu
Kaixiong Zhou
Xuanting Cai
Helen Zhou
308
2
0
23 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey
Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta
Gabriele Ciravegna
Eliana Pastor
Tania Cerquitelli
Elena Baralis
LRMXAI
254
86
0
20 Dec 2023
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in
  Machine Learning Models
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Ziqi Li
FAtt
246
73
0
06 Dec 2023
Explainable Fraud Detection with Deep Symbolic Classification
Explainable Fraud Detection with Deep Symbolic Classification
Samantha Visbeek
Erman Acar
Floris den Hengst
FaML
302
7
0
01 Dec 2023
Privacy-Preserving Algorithmic Recourse
Privacy-Preserving Algorithmic Recourse
Sikha Pentyala
Sanjay Kariyappa
Anh Totti Nguyen
Freddy Lecue
Daniele Magazzeni
208
9
0
23 Nov 2023
On the Relationship Between Interpretability and Explainability in
  Machine Learning
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
Pascal Germain
FaML
410
1
0
20 Nov 2023
Inspecting Explainability of Transformer Models with Additional Statistical Information
Inspecting Explainability of Transformer Models with Additional Statistical Information
Hoang C. Nguyen
Haeil Lee
Junmo Kim
ViT
152
4
0
19 Nov 2023
Deep Natural Language Feature Learning for Interpretable Prediction
Deep Natural Language Feature Learning for Interpretable PredictionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Felipe Urrutia
Cristian Buc
Valentin Barriere
283
3
0
09 Nov 2023
Faithful Path Language Modeling for Explainable Recommendation over
  Knowledge Graph
Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
Giacomo Balloccu
Ludovico Boratto
Christian Cancedda
Gianni Fenu
Mirko Marras
164
10
0
25 Oct 2023
Local Universal Explainer (LUX) -- a rule-based explainer with factual,
  counterfactual and visual explanations
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations
Szymon Bobek
Grzegorz J. Nalepa
270
2
0
23 Oct 2023
Transparency challenges in policy evaluation with causal machine
  learning -- improving usability and accountability
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability
Patrick Rehill
Nicholas Biddle
CMLELM
215
8
0
20 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI
A Critical Survey on Fairness Benefits of Explainable AI
Luca Deck
Jakob Schoeffer
Maria De-Arteaga
Niklas Kühl
541
30
0
15 Oct 2023
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful ExplainabilityJournal of Metaverse (JM), 2023
Md. Tanzib Hosain
Md. Mehedi Hasan Anik
Sadman Rafi̇
Rana Tabassum
Khaleque Insi̇a
Md. Mehrab Siddiky
163
12
0
13 Oct 2023
Security Considerations in AI-Robotics: A Survey of Current Methods,
  Challenges, and Opportunities
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and OpportunitiesIEEE Access (IEEE Access), 2023
Subash Neupane
Shaswata Mitra
Ivan A. Fernandez
Swayamjit Saha
Sudip Mittal
Jingdao Chen
Nisha Pillai
Shahram Rahimi
258
24
0
12 Oct 2023
Faithfulness Measurable Masked Language Models
Faithfulness Measurable Masked Language ModelsInternational Conference on Machine Learning (ICML), 2023
Andreas Madsen
Siva Reddy
Sarath Chandar
231
5
0
11 Oct 2023
Human-Centered Evaluation of XAI Methods
Human-Centered Evaluation of XAI Methods
Karam Dawoud
Wojciech Samek
Peter Eisert
Sebastian Lapuschkin
Sebastian Bosse
165
6
0
11 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated
  Counterfactuals
Faithful Explanations of Black-box NLP Models Using LLM-generated CounterfactualsInternational Conference on Learning Representations (ICLR), 2023
Y. Gat
Nitay Calderon
Amir Feder
Alexander Chapanin
Amit Sharma
Roi Reichart
402
43
0
01 Oct 2023
Prototype Generation: Robust Feature Visualisation for Data Independent
  Interpretability
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability
Ziyin Li
Bao Feng
198
2
0
29 Sep 2023
Explaining Deep Face Algorithms through Visualization: A Survey
Explaining Deep Face Algorithms through Visualization: A SurveyIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2023
Thrupthi Ann
S. M. I. C. V. Balasubramanian
M. Jawahar
CVBM
244
2
0
26 Sep 2023
A Comprehensive Review on Financial Explainable AI
A Comprehensive Review on Financial Explainable AIArtificial Intelligence Review (AIR), 2023
Wei Jie Yeo
Wihan van der Heever
Rui Mao
Xiaoshi Zhong
Frank Xing
G. Mengaldo
XAIAI4TS
256
50
0
21 Sep 2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for
  Weakly Supervised Semantic Segmentation
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
M. Maruf
Arka Daw
Amartya Dutta
Jie Bu
Anuj Karpatne
204
0
0
21 Aug 2023
Interpretable Graph Neural Networks for Tabular Data
Interpretable Graph Neural Networks for Tabular DataEuropean Conference on Artificial Intelligence (ECAI), 2023
Amr Alkhatib
Sofiane Ennadir
Henrik Bostrom
Michalis Vazirgiannis
LMTD
270
8
0
17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts,
  methods, and modalities
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic
Peter Watkinson
Ting Zhu
FaML
207
7
0
16 Aug 2023
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
Mojtaba Yeganejou
Kimia Honari
Ryan Kluzinski
S. Dick
M. Lipsett
James Miller
FedMLAI4CE
181
3
0
11 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods
Precise Benchmarking of Explainable AI Attribution Methods
Rafael Brandt
Daan Raatjens
G. Gaydadjiev
XAI
160
4
0
06 Aug 2023
Confident Feature Ranking
Confident Feature RankingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Bitya Neuhof
Y. Benjamini
FAtt
323
5
0
28 Jul 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image
  Classifiers
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers
Meike Nauta
Christin Seifert
264
16
0
26 Jul 2023
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Modeling Inverse Demand Function with Explainable Dual Neural NetworksInternational Conference on AI in Finance (ICAF), 2023
Zhiyu Cao
Zihan Chen
P. Mishra
Hamed Amini
Zachary Feinstein
210
5
0
26 Jul 2023
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy
Sara Mann
Barnaby Crook
Lena Kästner
Astrid Schomacker
Timo Speith
172
7
0
26 Jul 2023
Feature Importance Measurement based on Decision Tree Sampling
Feature Importance Measurement based on Decision Tree Sampling
Chao Huang
Chen Liang
Koji Tsuda
FAtt
160
6
0
25 Jul 2023
Robust Ranking Explanations
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAttAAML
356
0
0
08 Jul 2023
Manipulation Risks in Explainable AI: The Implications of the
  Disagreement Problem
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
S. Goethals
David Martens
Theodoros Evgeniou
262
10
0
24 Jun 2023
Interpreting Deep Neural Networks with the Package innsight
Interpreting Deep Neural Networks with the Package innsightJournal of Statistical Software (JSS), 2023
Niklas Koenen
Marvin N. Wright
FAtt
254
8
0
19 Jun 2023
Counterfactuals of Counterfactuals: a back-translation-inspired approach
  to analyse counterfactual editors
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Giorgos Filandrianos
Edmund Dervakos
Orfeas Menis Mastromichalakis
Chrysoula Zerva
Giorgos Stamou
AAML
170
6
0
26 May 2023
The Case Against Explainability
The Case Against Explainability
Hofit Wasserman Rozen
N. Elkin-Koren
Ran Gilad-Bachrach
AILawELM
148
3
0
20 May 2023
BELLA: Black box model Explanations by Local Linear Approximations
BELLA: Black box model Explanations by Local Linear Approximations
N. Radulovic
Nikolaos Perrakis
Fabian M. Suchanek
FAtt
369
1
0
18 May 2023
Unveiling the Potential of Counterfactuals Explanations in Employability
Unveiling the Potential of Counterfactuals Explanations in Employability
Raphael Mazzine Barbosa de Oliveira
S. Goethals
Dieter Brughmans
David Martens
189
2
0
17 May 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin Yu
Jianfeng Gao
MILM
272
66
0
17 May 2023
eXplainable Artificial Intelligence on Medical Images: A Survey
eXplainable Artificial Intelligence on Medical Images: A Survey
Matteus Vargas Simao da Silva
Rodrigo Reis Arrais
Jhessica Victoria Santos da Silva
Felipe Souza Tanios
Mateus A. Chinelatto
...
Fabiana Cristina Queiroz de Oliveira Marucci
Francisco Alves de Souza Neto
Danilo Xavier Silva
Vitor Yukio Kondo
C. F. G. Santos
MedImXAI
179
2
0
12 May 2023
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based
  Comparison of Feature Spaces
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces
Georgii Mikriukov
Gesina Schwalbe
Christian Hellert
Korinna Bade
172
3
0
30 Apr 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for
  Robust Explainability
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
Georgii Mikriukov
Gesina Schwalbe
Christian Hellert
Korinna Bade
FAtt
227
11
0
28 Apr 2023
Disagreement amongst counterfactual explanations: How transparency can
  be deceptive
Disagreement amongst counterfactual explanations: How transparency can be deceptive
Dieter Brughmans
Lissa Melis
David Martens
174
5
0
25 Apr 2023
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice
Debesh Jha
A. Rauniyar
Abhiskek Srivastava
D. Hagos
Vedat Cicek
...
Anis Yazidi
Ulas BagciJan Erik Haaakegaard
Ulas Bagci
Jan Erik Håkegård
Ulas Bagci
53
3
0
23 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical
  Study
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical StudyEuropean Conference on Information Systems (ECIS), 2023
L. Herm
156
29
0
18 Apr 2023
TreeC: a method to generate interpretable energy management systems
  using a metaheuristic algorithm
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithmKnowledge-Based Systems (KBS), 2023
Julian Ruddick
L. R. Camargo
M. A. Putratama
M. Messagie
Thierry Coosemans
91
4
0
17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation LearningNeural Networks (Neural Netw.), 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
485
255
0
11 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language
  Models
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language ModelsFirst Monday (FM), 2023
Emilio Ferrara
SILM
442
337
0
07 Apr 2023
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