Explainable AI (XAI): Core Ideas, Techniques, and Solutions

Dwivedi, Rudresh, Dave, Devam, Naik, Het, Singhal, Smiti, Omer, Rana, Patel, Pankesh, Qian, Bin, Wen, Zhenyu, Shah, Tejal, Morgan, Graham, Ranjan, Rajiv·2023·ACM Computing Surveys
DOI 10.1145/3561048

Cited by (1,002)

Items 901–1,000 of 1,002

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    Rui Mao, Erik Cambria, Yang Li, Newton Howard · 2025 · IEEE Intelligent Systems
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    Hyeonseo Kim, Nuri Park, Juneyoung Park · 2023 · IEEE International Conference on Knowledge Graph (ICKG)
  6. Achieving Explainable, Scalable, and Robust Machine Learning for Real-World Applications
    Yong Nuan, Zhihao Ru · 2025 · Preprints.org
  7. Business Fraud Detection, Prevention, and Investigations With Conversational AI
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    Minh Hieu Nguyen, Viet Hung Doan, Anh Tuấn Nguyễn, Jun Hyung Jo, Quoc Viet Hung Nguyen · 2025 · Communications in computer and information science
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    Vidhi Patel, Nikita Joshi, Bablu Kumar Singh · 2025 · International Conference on Artificial Intelligence and Machine Vision (AIMV)
  13. Counterfactual Explanations with Graded Interactivity: Effects on Mental-Model Formation and Explanation Satisfaction
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  27. Interpretable Defense Against Structural Adversarial Attacks on Android Malware Detection
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  48. Evaluating Sensitivity Consistency of Explanations
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  49. Explanation of Prediction of Machine Learning Models Using Local Interpretable Model-Agnostics Explanation and SHapley Additive exPlanations With Case Study of Credit Card Defaulters
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  51. Looks Can Mislead: Feature-Based Explanations Do Not Reliably Improve Fairness of AI-Assisted Decisions
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  52. La inteligencia artificial explicable y su papel clave en la educación
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  53. Mapping the Landscape of AI-empowered Psychology: A Topic Modeling-based Bibliometric Analysis
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  54. Let’s Talk AI with Psychology Expert Nicole Krämer
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  58. Conclusion
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  60. Smart Education Using Explainable Artificial Intelligence
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  64. Inputmix: A Strategy to Regularize and Balance Multi-Modality and Multi-View Model Learning
    Junjie Wang, Tomas Nordström · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  65. Learning interpretable representation for context-specific transcription regulatory networks using a foundation model
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  66. Towards Explainable Metaheuristics: Feature Mining of Search Trajectories through Principal Component Projection
    Martin Fyvie, John McCall, Lee A. Christie · 2025 · ACM Transactions on Evolutionary Learning and Optimization
  67. Characterizing the Relationship between Land Characteristics and Surface Temperature Using Explainable Artificial Intelligence Models
    Gunwon Lee, Young Tae Cho, Yuhan Han, Geunhan Kim · 2024 · SSRN Electronic Journal
  68. AI-Powered Classification of Medical Students’ Professionalism Profiles
    Chang Cai, Minyang Chow, Ruth Choe · 2025 · Communications in computer and information science
  69. Drawing Attributions From Evolved Counterfactuals
    Ján Jakubík, Halina Kwaśnicka · 2024 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
  70. A fuzzy method for semantic interpretation of clustering results: application to customer profiling in tourism
    Itzcóatl Bueno, R. A. Carrasco, Carlos Porcel, M. A. Martínez Sánchez · 2026 · Applied Intelligence
  71. The Need for Explainable AI: Ethical and Social Implications
    Md. Amir Khusru Akhtar, Mohit Kumar, Anand Nayyar · 2024 · Studies in systems, decision and control
  72. AdvancedScoreCAM: Enhancing visual explainability through hierarchical upsampling
    Haojun Zhao, Mohd Halim Mohd Noor · 2025 · Applied Soft Computing
  73. CD-Tron: Leveraging Large Clinical Language Model for Early Detection of Cognitive Decline from Electronic Health Records
    Hao Guan, John Novoa-Laurentiev, Li Zhou · 2024 · medRxiv
  74. UGCE: User-Guided Incremental Counterfactual Exploration
    Christos Fragkathoulas, Evaggelia Pitoura · 2025 · International Joint Conference on Neural Networks (IJCNN)
  75. Extracting Knowledge from Incompletely Known Models
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  76. Privacy and Security
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  78. The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality
    Dou Liu, Ying Long, Sophia Zuoqiu, Di Liu, Kang Li, Kaipeng Xie, Runze Yang, Yiting Lin, Hanyi Liu, Rong Yin et al. · 2026 · Journal of Medical Internet Research
  79. Stakeholder-Centric Explanations for Black-Box Decisions: An Xai Process Model and its Application to Automotive Goodwill Assessments
    Stefan Haas · 2023 · SSRN Electronic Journal
  80. Biases, Fairness, and Non-discrimination
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  85. Explainable AI overview
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  86. Artificial Intelligence and the Internet of Things
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  87. “Hey Google, Remind Me to Be Phished” Exploiting the Notifications of the Google (AI) Assistant on Android for Social Engineering Attacks
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  88. Counterfactual Causal Inference of Biomedical Signals: Unveiling Causal EEG Patterns for ASD Evaluation
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  89. Integrating Grad-Cam-Driven Discriminator for Improved Mineral Identification and Interpretability in Martian Hyperspectral Data
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  90. Analysis of Customer Journeys Using Prototype Detection and Counterfactual Explanations for Sequential Data
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  91. Machine learning for early prediction of preterm birth
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  92. Building Compliance-Driven AI Systems: Navigating IEC 62304 and PCI-DSS Constraints
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  93. An Scoping Review: Explainable Deep Learning Approach for Automated Sismo-Volcanic Event Classification
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  94. Conclusions and Open Challenges
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