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

28 June 2016

Seth Flaxman

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

50 / 217 papers shown

Title
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 40 16 0 16 Dec 2022
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 34 18 0 16 Dec 2022
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study Saed Alizami Kasun Bandara A. Eshragh Foaad Iravani 18 1 0 01 Dec 2022
Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde Galip Umit Yolcu Alexander Binder Wojciech Samek Sebastian Lapuschkin 60 11 0 30 Nov 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi Paul H. Yi Jeremias Sulam 32 3 0 29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 35 18 0 27 Nov 2022
Reconnoitering the class distinguishing abilities of the features, to know them better Payel Sadhukhan S. Palit Kausik Sengupta 29 0 0 23 Nov 2022
Supervised Feature Compression based on Counterfactual Analysis V. Piccialli Dolores Romero Morales Cecilia Salvatore CML 34 2 0 17 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Peter E. D. Love Weili Fang J. Matthews Stuart Porter Hanbin Luo L. Ding XAI 29 7 0 12 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 13 5 0 02 Nov 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 52 39 0 24 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 40 8 0 21 Oct 2022
Mitigating Covertly Unsafe Text within Natural Language Systems Alex Mei Anisha Kabir Sharon Levy Melanie Subbiah Emily Allaway J. Judge D. Patton Bruce Bimber Kathleen McKeown William Yang Wang 53 13 0 17 Oct 2022
Sparse PCA With Multiple Components Ryan Cory-Wright J. Pauphilet 50 2 0 29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 83 35 0 28 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 34 28 0 26 Sep 2022
Explaining Results of Multi-Criteria Decision Making Martin Erwig Prashant Kumar 9 0 0 10 Sep 2022
Tackling problems, harvesting benefits -- A systematic review of the regulatory debate around AI Anja Folberth J. Jahnel Jascha Bareis C. Orwat Christian Wadephul 20 3 0 07 Sep 2022
"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations Henning Wachsmuth Milad Alshomary 34 12 0 06 Sep 2022
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations Julien Grand-Clément Jean Pauphilet OffRL 119 13 0 05 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 37 148 0 31 Aug 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
ferret: a Framework for Benchmarking Explainers on Transformers Giuseppe Attanasio Eliana Pastor C. Bonaventura Debora Nozza 33 30 0 02 Aug 2022
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage Benjamin Charles Germain Lee VLM 16 7 0 06 Jul 2022
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice Mohit Singhal Chen Ling Pujan Paudel Poojitha Thota Nihal Kumarswamy Gianluca Stringhini Shirin Nilizadeh 75 28 0 29 Jun 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 21 4 0 28 Jun 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability L. Herm Kai Heinrich Jonas Wanner Christian Janiesch 19 84 0 20 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 36 134 0 07 Jun 2022
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables Manjinder Singh Alexander E. I. Brownlee David Cairns 17 12 0 31 May 2022
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction Sharadhi Alape Suryanarayana David Sarne Bar-Ilan 19 7 0 24 May 2022
Argumentative Explanations for Pattern-Based Text Classifiers Piyawat Lertvittayakumjorn Francesca Toni 47 4 0 22 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms Gabriel Lima Nina Grgić-Hlavca Jin Keun Jeong M. Cha 21 37 0 11 May 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments Jože M. Rožanec Elena Trajkova I. Novalija Patrik Zajec K. Kenda B. Fortuna Dunja Mladenić 36 9 0 12 Apr 2022
Explain yourself! Effects of Explanations in Human-Robot Interaction Jakob Ambsdorf A. Munir Yiyao Wei Klaas Degkwitz Harm Matthias Harms ... Kyra Ahrens Dennis Becker Erik Strahl Tom Weber S. Wermter 27 8 0 09 Apr 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 34 28 0 25 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 36 27 0 22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 32 20 0 21 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications Jovze M. Rovzanec I. Novalija Patrik Zajec K. Kenda Hooman Tavakoli ... G. Sofianidis Spyros Theodoropoulos Blavz Fortuna Dunja Mladenić John Soldatos 3DV AI4CE 38 121 0 21 Mar 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 35 5 0 16 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 21 3 0 03 Mar 2022
DermX: an end-to-end framework for explainable automated dermatological diagnosis Raluca Jalaboi F. Faye Mauricio Orbes-Arteaga D. Jørgensen Ole Winther A. Galimzianova MedIm 19 17 0 14 Feb 2022
Conversational Agents: Theory and Applications M. Wahde M. Virgolin LLMAG 32 25 0 07 Feb 2022
Explainable AI through the Learning of Arguments Jonas Bei David Pomerenke Lukas Schreiner Sepideh Sharbaf Pieter Collins N. Roos 11 0 0 01 Feb 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 28 36 0 22 Jan 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability Sílvia Casacuberta Esra Suel Seth Flaxman FAtt 21 1 0 31 Dec 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 41 414 0 11 Nov 2021
Optimal randomized classification trees R. Blanquero E. Carrizosa Antonios Tsourdos Dolores Romero Morales 19 47 0 19 Oct 2021
Tree-based local explanations of machine learning model predictions, AraucanaXAI Enea Parimbelli G. Nicora Szymon Wilk W. Michalowski Riccardo Bellazzi 16 25 0 15 Oct 2021
Truthful AI: Developing and governing AI that does not lie Owain Evans Owen Cotton-Barratt Lukas Finnveden Adam Bales Avital Balwit Peter Wills Luca Righetti William Saunders HILM 238 111 0 13 Oct 2021