Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

16 June 2020

Papers citing "Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey"

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Title
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey Jindong Li Yong Li Yali Fu Jiahong Liu Yixin Liu Menglin Yang Irwin King VLM 41 0 0 19 Apr 2025
C-SHAP for time series: An approach to high-level temporal explanations Annemarie Jutte Faizan Ahmed Jeroen Linssen Maurice van Keulen AI4TS 31 0 0 15 Apr 2025
Concept Extraction for Time Series with ECLAD-ts Antonia Holzapfel Andres Felipe Posada-Moreno Sebastian Trimpe AI4TS 23 0 0 07 Apr 2025
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning Jakub Kacper Szelag Ji-Jian Chin Lauren Ansell Sook-Chin Yip 34 0 0 03 Apr 2025
Diffusion Counterfactuals for Image Regressors Trung Duc Ha Sidney Bender DiffM 87 0 0 26 Mar 2025
Tangentially Aligned Integrated Gradients for User-Friendly Explanations Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 83 2 0 11 Mar 2025
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance Md Talha Mohsin Nabid Bin Nasim 39 0 0 07 Mar 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs Melkamu Mersha Mesay Gemeda Yigezu Hassan Shakil Ali Al shami SangHyun Byun Jugal Kalita 62 0 0 06 Mar 2025
FairSense-AI: Responsible AI Meets Sustainability Shaina Raza Mukund Sayeeganesh Chettiar Matin Yousefabadi Tahniat Khan Marcelo Lotif 45 0 0 04 Mar 2025
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice José Antonio Siqueira de Cerqueira Kai-Kristian Kemell Muhammad Waseem Rebekah Rousi Nannan Xi Juho Hamari 122 3 0 27 Feb 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 50 0 0 18 Feb 2025
Using the Path of Least Resistance to Explain Deep Networks Sina Salek Joseph Enguehard FAtt 44 0 0 17 Feb 2025
Coherent Local Explanations for Mathematical Optimization Daan Otto Jannis Kurtz S. Ilker Birbil 61 0 0 07 Feb 2025
EVolutionary Independent DEtermiNistiC Explanation Vincenzo Dentamaro Paolo Giglio D. Impedovo G. Pirlo 42 0 0 20 Jan 2025
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Osvaldo Arreche Mustafa Abdallah AAML 43 1 0 14 Jan 2025
Deontic Temporal Logic for Formal Verification of AI Ethics Priya T.V. Shrisha Rao 36 0 0 10 Jan 2025
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report Markus Dablander 80 0 0 18 Dec 2024
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data V. Saxena Benjamin Bashpole Gijs van Dijck Gerasimos Spanakis 74 0 0 18 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan S. Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 104 15 0 03 Dec 2024
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova GAN 25 0 0 28 Oct 2024
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 36 0 0 14 Oct 2024
XAI-based Feature Selection for Improved Network Intrusion Detection Systems Osvaldo Arreche Tanish Guntur Mustafa Abdallah AAML 21 0 0 14 Oct 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 44 4 0 26 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 55 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 31 1 0 09 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 74 28 0 30 Aug 2024
Fooling SHAP with Output Shuffling Attacks Jun Yuan Aritra Dasgupta 31 1 0 12 Aug 2024
ARCADE: An Augmented Reality Display Environment for Multimodal Interaction with Conversational Agents Carolin Schindler Daiki Mayumi Yuki Matsuda Niklas Rach Keiichi Yasumoto Wolfgang Minker 21 1 0 12 Aug 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 51 0 0 04 Aug 2024
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting Pierre-Daniel Arsenault Shengrui Wang Jean-Marc Patenande XAI AI4TS 37 2 0 22 Jul 2024
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An Hendrik Baier Abhishek Dubey Ayan Mukhopadhyay Meiyi Ma LRM 37 3 0 15 Jul 2024
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance Zhan Zhang Qin Zhang Yang Jiao Lin Lu Lin Ma ... Yiming Wang Lei Zhang Fengwei Tian Jie Hu Xin Gou CML MedIm 20 0 0 09 Jun 2024
Editable Concept Bottleneck Models Lijie Hu Chenyang Ren Zhengyu Hu Cheng-Long Wang Di Wang Hui Xiong Jingfeng Zhang Di Wang 34 3 0 24 May 2024
Feature Importance and Explainability in Quantum Machine Learning Luke Power Krishnendu Guha FAtt VLM 29 6 0 14 May 2024
Statistics and explainability: a fruitful alliance Valentina Ghidini 24 0 0 30 Apr 2024
Feature importance to explain multimodal prediction models. A clinical use case Jorn-Jan van de Beld Shreyasi Pathak J. Geerdink J. H. Hegeman Christin Seifert FAtt 17 0 0 29 Apr 2024
A Guide to Feature Importance Methods for Scientific Inference F. K. Ewald Ludwig Bothmann Marvin N. Wright B. Bischl Giuseppe Casalicchio Gunnar Konig 32 10 0 19 Apr 2024
Developing Situational Awareness for Joint Action with Autonomous Vehicles Robert Kaufman David Kirsh Nadir Weibel 25 5 0 17 Apr 2024
Explainable AI Integrated Feature Engineering for Wildfire Prediction Di Fan Ayan Biswas J. Ahrens 14 3 0 01 Apr 2024
Identification and Uses of Deep Learning Backbones via Pattern Mining Michael J. Livanos Ian Davidson 19 0 0 27 Mar 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey Thu Nguyen Alessandro Canossa Jichen Zhu 35 3 0 21 Mar 2024
On Predictive planning and counterfactual learning in active inference Aswin Paul Takuya Isomura Adeel Razi AI4CE 24 2 0 19 Mar 2024
Understanding the Dataset Practitioners Behind Large Language Model Development Crystal Qian Emily Reif Minsuk Kahng 41 3 0 21 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 53 5 0 21 Feb 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 40 52 0 14 Feb 2024
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating Daisuke Takahashi Shohei Shimizu Takuma Tanaka CML 38 1 0 05 Feb 2024
On the Emergence of Symmetrical Reality Zhenlian Zhang Zeyu Zhang Ziyuan Jiao Yao Su Hangxin Liu Wei Wang Song-Chun Zhu 18 4 0 26 Jan 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 27 1 0 26 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
Triamese-ViT: A 3D-Aware Method for Robust Brain Age Estimation from MRIs Zhaonian Zhang Richard M. Jiang 49 2 0 13 Jan 2024