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
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective Harmender Gahlawat Meirav Zehavi 7 4 0 21 May 2025
Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tomás Capdevielle Santiago Cifuentes FAtt 45 0 0 06 May 2025
Thinking Outside the Template with Modular GP-GOMEA Joe Harrison Peter A. N. Bosman Tanja Alderliesten 43 0 0 02 May 2025
Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration Khushbu Mehboob Shaikh Georgios Giannakopoulos 21 0 0 02 May 2025
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability K. T. Nguyen Ho-min Park Gaeun Oh J. Vankerschaver W. D. Neve MedIm 33 0 0 30 Apr 2025
Transformation of audio embeddings into interpretable, concept-based representations Alice Zhang Edison Thomaz Lie Lu 34 0 0 18 Apr 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 81 2 0 14 Feb 2025
Decision Information Meets Large Language Models: The Future of Explainable Operations Research Yansen Zhang Qingcan Kang Wing-Yin Yu Hailei Gong Xiaojin Fu Xiongwei Han Tao Zhong Chen Ma OffRL 66 1 0 14 Feb 2025
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Giovanni Ciatto Federico Sabbatini Andrea Agiollo Matteo Magnini Andrea Omicini 60 14 0 28 Jan 2025
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data Mohammad Noorchenarboo Katarina Grolinger 49 1 0 10 Jan 2025
Explainable AI: Definition and attributes of a good explanation for health AI E. Kyrimi S. McLachlan Jared M Wohlgemut Zane B Perkins David A. Lagnado W. Marsh the ExAIDSS Expert Group XAI 36 1 0 09 Sep 2024
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks Mahadev Prasad Panda Matteo Tiezzi Martina Vilas Gemma Roig Bjoern M. Eskofier Dario Zanca ViT AAML 41 1 0 04 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 47 13 0 27 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
CHILLI: A data context-aware perturbation method for XAI Saif Anwar Nathan Griffiths A. Bhalerao T. Popham 44 0 0 10 Jul 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations Onyekachukwu R. Okonji Kamol Yunusov Bonnie Gordon MedIm 46 3 0 15 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 49 2 0 11 Jun 2024
AI with Alien Content and Alien Metasemantics H. Cappelen J. Dever 21 4 0 30 May 2024
Explainable Automatic Grading with Neural Additive Models Aubrey Condor Z. Pardos ELM 32 2 0 01 May 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification Robert Vacareanu F. Alam M. Islam Haris Riaz Mihai Surdeanu NAI 40 2 0 05 Mar 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks Somnath Banerjee Maulindu Sarkar Punyajoy Saha Binny Mathew Animesh Mukherjee TDI 36 0 0 22 Feb 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 45 52 0 14 Feb 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards Weixin Liang Nazneen Rajani Xinyu Yang Ezinwanne Ozoani Eric Wu Yiqun Chen D. Smith James Zou 52 15 0 07 Feb 2024
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 22 3 0 18 Jan 2024
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 36 0 0 20 Nov 2023
Inspecting Explainability of Transformer Models with Additional Statistical Information Hoang C. Nguyen Haeil Lee Junmo Kim ViT 32 3 0 19 Nov 2023
Deep Natural Language Feature Learning for Interpretable Prediction Felipe Urrutia Cristian Buc Valentin Barriere 39 2 0 09 Nov 2023
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability Md. Tanzib Hosain Md. Mehedi Hasan Anik Sadman Rafi̇ Rana Tabassum Khaleque Insi̇a Md. Mehrab Siddiky 21 6 0 13 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 38 1 0 26 Sep 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 27 4 0 06 Aug 2023
Confident Feature Ranking Bitya Neuhof Y. Benjamini FAtt 37 3 0 28 Jul 2023
Modeling Inverse Demand Function with Explainable Dual Neural Networks Zhiyu Cao Zihan Chen P. Mishra Hamed Amini Zachary Feinstein 35 2 0 26 Jul 2023
Feature Importance Measurement based on Decision Tree Sampling Chao Huang Diptesh Das Koji Tsuda FAtt 31 2 0 25 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 40 0 0 08 Jul 2023
The Case Against Explainability Hofit Wasserman Rozen N. Elkin-Koren Ran Gilad-Bachrach AILaw ELM 36 1 0 20 May 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 42 1 0 18 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 36 47 0 17 May 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study L. Herm 26 22 0 18 Apr 2023
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm Julian Ruddick L. R. Camargo M. A. Putratama M. Messagie Thierry Coosemans 22 2 0 17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 72 142 0 11 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 36 248 0 07 Apr 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma T. Chanda Katja Hauser S. Hobelsberger Tabea-Clara Bucher Carina Nogueira Garcia ... J. Utikal K. Ghoreschi S. Fröhling E. Krieghoff-Henning T. Brinker 31 67 0 17 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu 46 20 0 05 Mar 2023
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks Raluca Jalaboi Ole Winther A. Galimzianova FAtt 22 1 0 23 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 36 1 0 17 Feb 2023
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning Gianluca Mittone Nicolò Tonci Robert Birke Iacopo Colonnelli Doriana Medić ... Francesco Beneventi Mirko Polato Massimo Torquati Luca Benini Marco Aldinucci 19 10 0 15 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 47 3 0 07 Feb 2023
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 32 4 0 31 Jan 2023