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

Dwivedi, Rudresh, Dave, Devam, Naik, Het, Singhal, Smiti, Omer, Rana, Patel, Pankesh, Qian, Bin, Wen, Zhenyu +3 more·2023·ACM Computing Surveys
DOI 10.1145/3561048

Cited by (1,002)

Items 801–900 of 1,002

  1. Relational Gains, Privacy Strains: Exploring Users' Perceptions and Experiences with ChatGPT's Memory Feature
    Cheng Chen, María D. Molina, Mengqi Liao, Eugene Cho Snyder · 2026 · CHI Conference on Human Factors in Computing Systems
  2. Small‐Scale Magnetic Soft Robots for Medical Applications: From Laboratory to Clinical Use
    Xingxing Ke, Shizhi Li, Tianrui Zhang et al. · 2026 · SmartBot
  3. Mapping the landscape of AI-empowered psychology: a topic modeling-based bibliometric analysis
    Songlin Jia, Yongfa Zhang, Fei Wang · 2026 · Artificial Intelligence Review
  4. Eliciting Socio-Technical Research Needs on Countering Violence-Inducing and Hateful Speech in Cyberspace
    Dante Della Vella, Yasas Senarath, Ehtesham Hashmi, Mohamed Abomhara, Sarang Shaikh, Torborg Igland, Carol Azungi Dralega, Sule Yildirim Yayilgan, Hemant Purohit, Rajendra A. Akerkar · 2025 · Digital Society
  5. A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
    Osvaldo Arreche, Mustafa Abdallah · 2024 · Research Square
  6. Predicting antimicrobial resistance for precision medicine
    Theresa Fink, Jan Rybniker, Tobias Bollenbach · 2026 · Cell Host & Microbe
  7. Plotania: Exploring Transparency Trade-offs in AI Co-Writing Through Virtual Readers and Transparent Attribution
    Yufeng Hu, Jinyi Zhang, Zehuan Wang, Chun Yu · 2026 · CHI Conference on Human Factors in Computing Systems
  8. Assisting Observational Astronomy for Public with Smart Telescopes and eXplainable Artificial Intelligence
    Olivier Parisot, Mahmoud Jaziri · 2023 · Preprints.org
  9. Explainable machine learning in healthcare: methods, interpretation, and applications for clinical research
    Krishna Padmanabhan, Minxin Lu, Dai Feng, Natalia Kan‐Dobrosky, Sai Konduri, Heather J. Litman, Achilleas Livieratos · 2026 · Journal of the American Medical Informatics Association
  10. An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading
    Eranga Bandara, Ross Gore, Sachin S. Shetty, Ravi Mukkamala, Tharaka Hewa, Abdul Rahman, Xueping Liang, Safdar Hussain Bouk, Peter B. Foytik, Ng Wee Keong et al. · 2026 · International Wireless Communications and Mobile Computing Conference (IWCMC)
  11. Venturing ChatGPT's lens to explore human values in software artifacts: a case study of mobile APIs
    Davoud Mougouei, Saima Rafi, Mahdi Fahmideh, Elahe Mougouei, Javed Ali Khan, Hoa Khanh Dam, Arif Nurwidyantoro, Michel R. V. Chaudron · 2025 · Behaviour and Information Technology
  12. Bridging Explainability and Interactivity to foster Trust and increase Interpretability in AI-systems
    Marco Fries, Louisa Maria Sauter, Julia Nießner, Markus Keyser, Thomas G. Ludwig · 2025 · Mensch und Computer (MuC)
  13. DXAI: explaining classification by image decomposition
    Elnatan Kadar, Guy Gilboa · 2026 · The Visual Computer
  14. Spatial heterogeneity identification for rainfall-derived inflow and infiltration in urban sewer systems based on water level sensor networks: Insights from an interpretable deep learning method
    Yue Zheng, Xinyu Chen, Qing Zhang · 2025 · Environmental Research
  15. A physics-augmented neuro-symbolic framework for interpretable aerodynamic optimization and knowledge extraction
    Fan Cao, Chenye Cao, Xin Zhao · 2026 · Aerospace Science and Technology
  16. Content marketing as a propaganda vehicle for a romantic-managerial conception of artificial intelligence
    Pier‐Luc Lajoie · 2025 · Critical Perspectives on Accounting
  17. Script2Screen: Supporting Dialogue-Centric Scriptwriting with Interactive Audiovisual Generation
    Zhecheng Wang, Jiaju Ma, Eitan Grinspun, Tovi Grossman, Bryan K. Wang · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)
  18. Unveiling Brake Faults in Heavy Vehicles with Explainable AI
    Muhammad Ahmad Khan, Maqbool Khan, Sohail Khan · 2025 · Lecture notes in networks and systems
  19. Explainable AI–Driven Comparative Analysis of Machine Learning Models for Predicting HIV Viral Nonsuppression in Ugandan Patients: Retrospective Cross-Sectional Study (Preprint)
    Francis Ngema, Albert Whata, Micheal Olusoji Olusanya · 2024
  20. Algorithmic Autonomy in Data-Driven AI
    Ge Wang, Roy D. Pea · 2026 · Communications of the ACM
  21. A Novel Timing Model for Neural Networks in Safety-critical Systems
    Robin Hapka, Anika Christmann, Rolf Ernst · 2025 · IEEE Annual Computers, Software, and Applications Conference (COMPSAC)
  22. Countermeasuring Anti-Ship Missiles for Surface Naval Platforms: A Machine Learning Approach With Explainable Artificial Intelligence
    Murat Ertop, Ali Öter, Ali Kara · 2025 · IEEE Access
  23. Mapping the Intellectual Structure of AI-Driven Economic Forecasting: A Scientometric Analysis From 1991 to 2024
    Yuxiaoyuan, Wang Peng, Nuzul Azam Haron · 2025 · IEEE Access
  24. Recent Advances and Emerging Directions in Machine Learning-Based Breast Cancer Drug Discovery: A Comprehensive Review
    Yan Cheng, Jilin Kong, Xiangjuan Liu, Shuyan Li · 2026 · Breast Cancer Targets and Therapy
  25. Transforming remanufacturing automation with large language models: A forward-looking analysis with case studies
    Chang Liu, Sara Behdad, Prabhakar Reddy Pagilla, Xiao Liang, Minghui Zheng · 2026 · Robotics and Computer-Integrated Manufacturing
  26. Beyond REMS & PDMPs: A Proposed Framework for Next-Generation Opioid Regulation
    Arpana Rana, Kavetha Ram · 2025 · Therapeutic Innovation & Regulatory Science
  27. Explainable learning to analyze the outcome of COVID-19 patients using clinical data
    Daniel Olañeta, Daniel I. Morís, Joaquim de Moura · 2023 · Procedia Computer Science
  28. Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures
    Martin Fyvie, John McCall, Lee A. Christie, Alexandru-Ciprian Zăvoianu, Alexander E. I. Brownlee, Russell Ainslie · 2023 · Lecture notes in computer science
  29. Large-scale classification of metagenomic samples: a comparative analysis of classical machine learning techniques vs a novel brain-inspired hyperdimensional computing approach
    Jayadev Joshi, Fabio Cumbo, Daniel J Blankenberg · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  30. Predicting fire incidents with ML: an XAI approach
    Donghyeok Lee, Fernando Perez Tellez, Rajesh R Jaiswal · 2025 · AI and Ethics
  31. LLM-based Multi-Agent Collaboration for Abstract Screening towards Automated Systematic Reviews
    Opeoluwa Akinseloyin, Xiaorui Jiang, Vasile Palade · 2025 · medRxiv
  32. Explainable AI for subsurface carbon capture, utilization, and storage systems: A review
    Shadfar Davoodi, Mohammad Moosazadeh, Geovanny Branchiny Imasuly, Mohammed Al-Shargabi, David A. Wood, Evgeny Vladimirovich Burnaev · 2026 · Fuel
  33. Evaluating Open-Ended High-Stakes Examinations with LLMs: Alignment Between ChatGPT-4o and Human Grading in High- and Low-Resource Languages
    Jussi Sakari Jauhiainen, Agustín Garagorry Guerra · 2026 · Frontiers of digital education.
  34. AIM-CF: Fast and Precise Counterfactual Explanations via Approximate Inverse Models
    Takafumi Nakanishi, Ponlawat Chophuk, Krisana Chinnasarn · 2025 · IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
  35. Neural networks with iterative parameter generation for determining parameters of constitutive models
    Yuyi Zhang, Shixiang Zhao, Nikita A. Kazarinov, Yu. V. Petrov · 2024 · Cybernetics and Physics
  36. Ter-Net: A Dual-Branch Ensemble Network for Accurate and Interpretable Terrain Type Classification
    Shusmita Anjum Aziz, Towhidul Alam, M. S. Rahman · 2025 · International Conference on New Media Studies (CONMEDIA)
  37. Extracting Specifications Through Verified and Explainable AI: Interpretability, Interoperability, and Trade-Offs
    Giacomo Bergami, Oliver Robert Fox, Graham Morgan · 2025 · Springer eBooks
  38. Bridging interpretability and deep intelligence: An interpretable-to-deep (I2D) AI framework for tunnel convergence prediction
    Ghader Saadati, Javad Mohebbi Najm Abad, Michael Mett · 2026 · Geodata and AI.
  39. Human-Controllable AI: Meaningful Human Control
    Chengke Liu, Wei Xu · 2025 · Springer eBooks
  40. Interpretable Machine Learning QSAR Models for Classification and Screening of VEGFR-2 Inhibitors in Anticancer Drug Discovery
    Teuku Rizky Noviandy, Rinaldi Idroes · 2025 · Malacca Pharmaceutics
  41. Deconstructing Triboinformatics: A Conceptual Framework for the Intersection of Machine Learning and Tribology
    Amir Kordijazi · 2026 · Journal of Tribology
  42. Behavioral Time Scale Synaptic Plasticity (BTSP) endows binding of distributed representations with flexible retrieval options
    Chengting Yu, Yukun Yang, Yujie Wu, Aili Wang, Wolfgang Maass · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  43. How Explainable Really Is AI? Benchmarking Explainable AI
    Giacomo Bergami, Oliver Robert Fox · 2025 · Logics
  44. Enhancing disinformation detection with explainable AI and named entity replacement
    Santiago González-Silot, Andrés Montoro-Montarroso, Eugenio Martínez‐Cámara, Juan Gómez‐Romero · 2026 · Knowledge-Based Systems
  45. CARE-Cirrhosis: A multi-level explainability framework integrating predictive modeling and personalized clinical recommendation in cirrhosis care
    Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés · 2025 · Intelligent Pharmacy
  46. Exploring Gender Bias in Misclassification with Clustering and Local Explanations
    Aurora Ramírez · 2024 · Communications in computer and information science
  47. eval-rationales: An End-to-End Toolkit to Explain and Evaluate Transformers-Based Models
    Khalil Maachou, Jesús Lovón-Melgarejo, José G. Moreno, Lynda Tamine · 2024 · Lecture notes in computer science
  48. Customer Experience and Marketing in the Digital Era
    Jr. Tito Antonio A. Ofilada, Ethelbert Garcia Galang · 2026 · Advances in computational intelligence and robotics book series
  49. CLIMAX: An Exploration of Classifier-Based Contrastive Explanations
    Praharsh Nanavati, Ranjitha Prasad · 2023 · IEEE International Conference on Cognitive Machine Intelligence (CogMI)
  50. Explainable Fairness, with Application to Credit Lending
    Paolo Giudici Stefano, Golnoosh Babaei, Parvati Neelakantan · 2025 · SSRN Electronic Journal
  51. Exploring Biases and Interpretability of Deep Learning Models
    Shreya Pulluri, Megha Mohan, Madduri Aditya Vardhan Reddy, Chitresh Simhadri, M. Geetha · 2025 · Lecture notes in networks and systems
  52. Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems
    Fahad Ahmed Khokhar, Tommaso Zoppi, Andrea Ceccarelli, Leonardo Montecchi, Andrea Bondavalli · 2025 · Software Practice and Experience
  53. The Double-Edged Sword: Navigating AI's Role in Banking Cybersecurity
    Meraj Farheen Ansari, Abubakar Saddiq Mohammed, Kavitha Reddy Janamolla · 2025
  54. Deep Learning-Driven Protein-Ligand Binding Affinity Prediction: Data, Architecture, Training and Evaluation
    Zhiwei Li, Guoqiang Zhou, Haoran Li, Jiacong Mi, Jiahua Shi, Jun Shen · 2025 · IEEE Transactions on Computational Biology and Bioinformatics
  55. AADF: Decision Support to Improve Trust and Transparency with Explainable AI
    Devon L. Brown, Danda B. Rawat, Chunmei Liu · 2025 · Communications in computer and information science
  56. Abstracting General Syntax for XAI after Decomposing Explanation Sub-Components
    Stephen E. Wormald, Matheus Kunzler Maldaner, Kristian O'Connor, Olivia P. Dizon-Paradis, Damon L. Woodard · 2024 · Research Square
  57. Introduction
    Markus Schedl, Vito Walter Anelli, Elisabeth Lex · 2024 · The information retrieval series
  58. Assessing the Efficiency of AI for Multivariate Data Analysis
    Jambi Ratna Raja Kumar, Mukesh Chaturvedi, D. Anandhasilambarasan, V. Ashok, Ashwini Ranjit Nawadkar, Manoj Va · 2023 · International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) · Retracted
  59. Computer-Aided Algorithms for Underwater Image Enhancement and Object Detection
    Naveena Tresa Joseph, Subbiahpillai Neelakantapillai Kumar · 2025 · Advances in information security, privacy, and ethics book series
  60. Introduction
    Yulin Shao · 2025 · Wireless networks
  61. Addressing the Spread of Infectious Diseases in the Era of Explainable AI
    Bouthayna Addaali, Rachid Latif, Amine Saddik · 2024 · World Conference on Complex Systems
  62. More Efficient Manual Review of Automatically Transcribed Tabular Data
    Bjørn-Richard Pedersen, Rigmor Katrine Johansen, Einar Holsbø · 2024 · Historical Life Course Studies
  63. SHAP happens: an Explainable IDS for Industrial IoT Networks
    Pierangelo Loi, Daniele Canavese, Leonardo Regano, Davide Maiorca, Giorgio Giacinto · 2025 · IEEE International Forum on Research and Technology for Society and Industry (RTSI)
  64. Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
    Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner · 2025 · Lecture notes in computer science
  65. Multi-objective Learning for Training Interpretable and Sparse Neural Networks
    Yongjie Feng, Peng Zhang, Byron J. Gao · 2025 · Procedia Computer Science
  66. Ethical Considerations for Machine Learning Research Using Free-Text Electronic Medical Records: Challenges, Evidence, and Best Practices
    Guosong Wu, Fengjuan Yang · 2025 · Hospitals
  67. Applications of Explainable AI
    Kirtpreet Kaur, Aarushi, Zeba Afroz · 2024
  68. Revisiting Data-Driven Chronic Kidney Disease Analysis with Emphasis on Explainability and Applicability
    Gyarteng Emmanuel, Xiaoling Zhang, Chiagoziem C. Ukwuoma · 2025 · SSRN Electronic Journal
  69. Mixup Enhanced Linear Robust Explainable Model for Identifying Key Factors of Surface Defects in Strip Steel Manufacturing
    Jinchuan Qian, Xuerui Zhang, Songyan Pi · 2024 · International Conference on Industrial Artificial Intelligence (IAI)
  70. Comment on egusphere-2023-2559
    Ekaterina V. Ezhova, Topi Laanti, Anna Lintunen · 2024
  71. Reply on RC1
    Topi Laanti · 2024
  72. Leveraging Large Language Models for Digital Phenotyping: Detecting Depressive State Changes for Patients with Depressive Episodes
    Yunhao Yuan, Ya Gao, Hans Moen, Erkki Tapio Isometsä, Pekka Marttinen, Talayeh Aledavood · 2025 · medRxiv
  73. Terrain is a stronger predictor of peat depth than airborne radiometrics in Norwegian landscapes
    Julien Vollering, Naomi Gatis, Mette Kusk Gillespie, Karl-Kristian Muggerud, Sigurd Daniel Nerhus, Knut Rydgren, Mikko Sparf · 2025 · SOIL
  74. Analysis of Machine Learning Methods in Navigation and Trajectory Planning for Autonomous Control of Unmanned Systems
    Roman Trembovetskyi, Інна Розломій, Віра Бабенко · 2024 · Security of Infocommunication Systems and Internet of Things
  75. Unveiling nonlinear ecological dynamics in marine soundscapes with explainable AI
    Shashidhar Siddagangaiah · 2025 · Global Ecology and Conservation
  76. Challenges and Future Perspectives in Explainable AI A Roadmap for New Scholars
    Chumki Sil, Papri Ghosh, Subhram Das, Md Ashifuddin Mondal · 2025 · International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)
  77. Predicting animal movement with deepSSF: a deep learning step selection framework
    Forrest, Scott W., Pagendam, Dan, Hassan, Conor, Drovandi, Christopher, Potts, Jonathan R., Bode, Michael, Hoskins, Andrew J. · 2025
  78. Can We Trust the Actionable Guidance from Explainable AI Techniques in Defect Prediction?
    Gichan Lee, Hansae Ju, Scott Uk-Jin Lee · 2025 · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  79. X-OODM: Leveraging Explainable Object-Oriented Design Methodology for Multi-Domain Sentiment Analysis
    Abqa Javed, Muhammad Shoaib, Abdul Jaleel, Mohamed A. Deriche, Sharjeel Nawaz · 2025 · Computers, materials & continua/Computers, materials & continua (Print)
  80. Leveraging DNS Traffic Analysis for Threat Detection Using Explainable AI
    Shubham Goyal, Swati Singh, Gopinath Palaniappan · 2025 · Communications in computer and information science
  81. Interpretable deep classification of time series based on class discriminative prototype learning
    Yupeng Wang, Jianghui Cai, Haifeng Yang, Chenhui Shi, Minheng Zhang, Jie Wang, Ran Zhang, Xujun Zhao · 2025 · Intelligent Data Analysis
  82. Conceptual Framework for Assessing the Use of Artificial Intelligence in Wealth and Asset Management Offered by Fintech
    Fabian Zimmermann, Miguel E. Coimbra, Susanne Durst · 2025 · Palgrave studies in financial services technology
  83. Temporal Impact Analysis of Carbon Emissions in China’s Power Sector Using N-BEATS Forecasting and TimeSHAP Interpretation
    Wei Dong, Yuhua Zhang, Jinxing Che · 2025 · International Conference on Energy, Electrical and Power Engineering (CEEPE)
  84. Orchestrating Fail-Safe, Black-Box Models Within Federated Learning Scenarios
    Fahad Ahmed Khokhar, Tommaso Zoppi, Jamal Hussain Shah · 2025 · IEEE Pacific Rim International Symposium on Dependable Computing (PRDC)
  85. Towards Designing User Interfaces for Optimized Human-AI Communication and Supervisory Control in Software Engineering
    Somang Nam, Christopher Chun Ki Chan · 2025 · ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
  86. Deep learning-based applicator selection between Syed and T&O in high-dose-rate brachytherapy for locally advanced cervical cancer: a retrospective study
    Runyu Jiang, Malvern Madondo, Xiaoman Zhang · 2025 · Physics in Medicine and Biology
  87. Enhanced Disease Diagnosis Through Adaptive Ensemble Optimization and Hybrid Learning
    Srinivas Arukonda, Srilakshmi Voddelli · 2024 · IEEE India Council International Conference (INDICON)
  88. High-precision explainable ResNet50 brain tumor classification model enhanced with XAI
    Xiang Jing, Shaochuan Xu, Xuebo Chen · 2025 · Engineering Research Express
  89. Explaining care need assessment surveys: qualitative and quantitative evaluation of state-of-the-art local and global explainable artificial intelligence methods
    Oguz Serbetci, Stefan Blüher, Paul R. Gellert, Ulf Leser · 2025 · JAMIA Open
  90. Explainable AI in business: Trends & future scope
    Swati Sharma · 2024 · AIP conference proceedings
  91. Statistical Mutual Impact on Hosting Capacity Across Installations in Dutch Distribution Grids
    S Gong · 2023 · SSRN Electronic Journal
  92. Introductory Chapter: Artificial Intelligence, Big Data, and New Trends in Quality Control
    Sayyad Zahid Qamar · 2025 · Industrial engineering and management.
  93. Improving Clustering Explainability and Automated Cluster Naming with Approximate Inverse Model Explanations and Large Language Models
    Takafumi Nakanishi · 2025
  94. Explainable artificial intelligence enhanced quantum-inspired spider monkey optimization for a constrained portfolio optimization proble
    Abhishek Gunjan, Siddhartha Bhattacharyya · 2025 · Quantum Machine Intelligence
  95. A Unified and Practical User-Centric Framework for Explainable Artificial Intelligence
    Sinan Kaplan, Hannu M. T. Uusitalo, Lasse T. Lensu · 2023 · SSRN Electronic Journal
  96. SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data
    Zonghai Yao, Youxia Zhao, Avijit Mitra, David A. Levy, Emily Druhl, Jack Tsai, Hong Yu · 2025 · medRxiv
  97. A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification
    Andrea Campagner, Federico Cabitza, Davide Ciucci · 2025 · Lecture notes in computer science
  98. Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling
    Johannes J. Pienaar, Anna S. Boman, Katherine Mary Malan · 2024 · Lecture notes in computer science
  99. Utilizing Machine Learning for Intrusion Detection in Smart Grid Systems
    H. Al-Bataineh, Viswas Kanmuri, Waseem Al-Aqqad · 2024 · Lecture notes in networks and systems
  100. Legal XAI: a Systematic Review and Interdisciplinary Mapping of XAI and EU Law, Towards a Research Agenda for Legally Responsible AI
    Francesco Sovrano, Giulia Vilone, Michaël Lognoul, Luca Longo · 2025 · SSRN Electronic Journal