Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities

11 November 2021

Papers citing "Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities"

50 / 84 papers shown

Title
Which LIME should I trust? Concepts, Challenges, and Solutions Patrick Knab Sascha Marton Udo Schlegel Christian Bartelt FAtt 33 0 0 31 Mar 2025
Guidelines For The Choice Of The Baseline in XAI Attribution Methods Cristian Morasso Giorgio Dolci I. Galazzo Sergey M. Plis Gloria Menegaz 29 0 0 25 Mar 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification Wenlong Yu Qilong Wang Chuang Liu Dong Li Q. Hu LRM 58 0 0 19 Mar 2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans Ashley Suh Isabelle Hurley Nora Smith H. Siu 37 1 0 13 Mar 2025
Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences Jun Hou Lucy Lu Wang 37 0 0 27 Feb 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 43 0 0 18 Feb 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections Alfredo Lopez Florian Sobieczky AI4TS 40 0 0 17 Jan 2025
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Osvaldo Arreche Mustafa Abdallah AAML 36 1 0 14 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 55 0 0 30 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Shilin Sun Wenbin An Feng Tian Fang Nan Qidong Liu J. Liu N. Shah Ping Chen 78 2 0 18 Dec 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig A. Sunyaev A. Hilbert 18 0 0 07 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems Sruthi Viswanathan Seray Ibrahim Ravi Shankar Reuben Binns Max Van Kleek Petr Slovák 52 1 0 02 Nov 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 27 1 0 27 Oct 2024
Trustworthy XAI and Application Md Abdullah Al Nasim Parag Biswas Abdur Rashid A. Biswas Kishor Datta Gupta Angona Biswas Kishor Datta Gupta 14 2 0 22 Oct 2024
Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification Danny Y. C. Wang Lars Arne Jordanger Jerry Chun-Wei Lin 15 0 0 21 Oct 2024
Assistive AI for Augmenting Human Decision-making Natabara Máté Gyöngyössy Bernát Török Csilla Farkas Laura Lucaj Attila Menyhárd Krisztina Menyhárd-Balázs András Simonyi Patrick van der Smagt Zsolt Ződi András Lőrincz 24 0 0 18 Oct 2024
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI Navneet Kaur Lav Gupta 13 0 0 04 Oct 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts Helen Jin Shreya Havaldar Chaehyeon Kim Anton Xue Weiqiu You ... Bhuvnesh Jain Amin Madani M. Sako Lyle Ungar Eric Wong 24 0 0 20 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 48 2 0 20 Sep 2024
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 16 1 0 09 Sep 2024
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF Anli Ji Chetraj Pandey Berkay Aydin 17 0 0 06 Sep 2024
Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning Andrew Smart Atoosa Kasirzadeh 22 6 0 05 Sep 2024
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method Ryuta Matsuno 23 0 0 05 Aug 2024
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition Youssef Doulfoukar Laurent Mertens Joost Vennekens FAtt 14 0 0 19 Jul 2024
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 32 1 0 17 Jul 2024
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance M. Kozielski Marek Sikora Lukasz Wawrowski 18 0 0 16 Jul 2024
Layer-Wise Relevance Propagation with Conservation Property for ResNet Seitaro Otsuki T. Iida Félix Doublet Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Komei Sugiura FAtt 33 4 0 12 Jul 2024
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media Chen Chen Mingwei Li Fenghuan Li Haopeng Chen Yuankun Lin 18 0 0 12 Jul 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey Igor G. Smit Jianan Zhou Robbert Reijnen Yaoxin Wu Jian Chen Cong Zhang Z. Bukhsh Wim P. M. Nuijten Yingqian Zhang GNN AI4CE 28 8 0 20 Jun 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall N. V. Stein David Walker Ting-Kuei Hu 26 0 0 12 Jun 2024
Automated Trustworthiness Testing for Machine Learning Classifiers Steven Cho Seaton Cousins-Baxter Stefano Ruberto Valerio Terragni 18 0 0 07 Jun 2024
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics D. V. Cuong Branislava Lalić Mina Petrić Binh Nguyen M. Roantree PINN AI4CE 39 0 0 07 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Jannis Blüml Bjarne Gregori Kristian Kersting 24 7 0 06 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 31 5 0 03 Jun 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments Sören Schleibaum Lu Feng Sarit Kraus Jörg P. Müller 25 2 0 31 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 36 14 0 23 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 22 0 0 23 May 2024
False Sense of Security in Explainable Artificial Intelligence (XAI) N. C. Chung Hongkyou Chung Hearim Lee L. Brocki Hongbeom Chung George C. Dyer 27 2 0 06 May 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law Benjamin Frész Elena Dubovitskaya Danilo Brajovic Marco F. Huber Christian Horz 33 6 0 19 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations Nils Ole Breuer Andreas Sauter Majid Mohammadi Erman Acar FAtt 21 2 0 17 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 25 0 0 16 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 67 26 0 15 Apr 2024
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging Tommaso Torda Andrea Ciardiello Simona Gargiulo Greta Grillo Simone Scardapane Cecilia Voena S. Giagu 19 0 0 05 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 47 5 0 18 Mar 2024
AcME-AD: Accelerated Model Explanations for Anomaly Detection Valentina Zaccaria David Dandolo Chiara Masiero Gian Antonio Susto 22 2 0 02 Mar 2024
Position: Explain to Question not to Justify Przemysław Biecek Wojciech Samek 24 11 0 21 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 11 1 0 07 Feb 2024
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering Marc Schmitt 20 0 0 06 Feb 2024
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series Shamima Hossain Christos Faloutsos Boris Baer Hyoseung Kim V. Tsotras 10 2 0 02 Feb 2024
XAI for All: Can Large Language Models Simplify Explainable AI? Philip Mavrepis Georgios Makridis G. Fatouros Vasileios Koukos Maria Margarita Separdani D. Kyriazis 40 16 0 23 Jan 2024