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

Cited by (1,002)

Items 601–700 of 1,002

  1. Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendations
    Md Mahfuzur Rahman, Vince D. Calhoun, Sergey Plis · 2026 · Imaging Neuroscience
  2. A method for explaining individual predictions in neural networks
    Sejong Oh · 2025 · PeerJ Computer Science
  3. Governance of AI-Based Algorithms
    Chinasa T. Okolo · 2025 · Springer eBooks
  4. A Functionally-Grounded Benchmark Framework for XAI Methods: Insights and Foundations from a Systematic Literature Review
    Dulce Canha, Sylvain Kubler A, Kary Främling, Guy Fagherazzi · 2025 · ACM Computing Surveys
  5. Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions
    Sara Narteni, Alberto Carlevaro, Jérôme Guzzi, Maurizio Mongelli · 2024 · Communications in computer and information science
  6. The essence of creative thinking in PISA 2022: An item-level machine learning approach to construct validity at the facet level
    Elisabeth Barbara Kraus, Benjamin Goecke, Ann‐Kathrin Jaggy · 2026 · Thinking Skills and Creativity
  7. Integrating Explainable AI with Machine Learning for Accurate Liver Disease Diagnosis
    Anish Reddy Konyala, Ashly Ann Jo, Ebin Deni Raj · 2025 · Lecture notes in networks and systems
  8. Predicting animal movement with <scp>deepSSF</scp> : A deep learning step selection framework
    Forrest, Scott W., Pagendam, Dan, Hassan, Conor, Potts, Jonathan R., Drovandi, Christopher, Bode, Michael, Hoskins, Andrew J. · 2026 · Methods in Ecology and Evolution
  9. Effect of AI Performance, Risk Perception, and Trust on Human Dependence in Deepfake Detection AI System
    Yingfan Zhou, Ester Chen, Manasa Pisipati, Aiping Xiong, Sarah Michele Rajtmajer · 2025 · Proceedings of the ACM on Human-Computer Interaction
  10. Persuasive explanations for recommender systems: how explanations can influence users’ choices?
    S M Tahsinur Rahman, Dominik Siemon, Tuukka Ruotsalo · 2025 · International Journal of Human-Computer Studies
  11. DIR-SMOTE: a density-influence resampling framework for imbalanced code smell detection
    Ruchika Malhotra, Bhawna Jain, Marouane Kessentini · 2026 · Automated Software Engineering
  12. XAI approach to drug dosage optimization and review-based prediction of side effects
    Maroua Oumlaz, Iram Kamdar, Yassine Oumlaz · 2024
  13. The Effect of Progressive Disclosure in the Transparency of Large Language Models
    Deepa Muralidhar, Rafik Belloum, Káthia Marçal de Oliveira, Ashwin Ashok, Pardaz Banu Mohammad · 2025 · Communications in computer and information science
  14. X-OODM: Explainable Object-Oriented Design Methodology
    Abqa Javed, Muhammad Shoaib, Abdul Jaleel · 2024 · IEEE Access
  15. The Challenge of Understanding Explanations for User Trust in AI: Insights From an Online Experiment About Job Matching
    Glenda Hannibal, Christine Bauer · 2025 · Lecture notes in computer science
  16. Are cutting-edge technologies transforming classical approaches in automated hiring systems ? A systematic literature review
    Loubna Aminou, Abdelaziz Daaif, Maha Soulami, Abderrahim Chalfaouat, Mohamed Youssfi · 2025 · Systems and Soft Computing
  17. Semantic-Based XAI: Leveraging Ontology Properties to Enhance Explainability
    Pavel Kosov, Nahla El Zant El Kadhi, Cécilia Zanni-Merk, Latafat Abbas Gardashova · 2024 · International Conference on Decision Aid Sciences and Applications (DASA)
  18. Fusion of XAI and LLM: Automatic Topic Name Extraction from Text Data Using Approximate Inverse Model Explanations (AIME)
    Takafumi Nakanishi · 2025 · IEEE International Conference on Semantic Computing (ICSC)
  19. Tree based Diagnosis Enhanced with Meta Knowledge Applied to Dynamic Systems
    Louis Goupil, Louise Travé-Massuyès, Élodie Chanthery · 2024 · IFAC-PapersOnLine
  20. Explainable AI for Deep Visual Recognition: Evaluation, Methods, and Open Challenges
    Khalid Nawaf Alharbi · 2026 · Electronics
  21. Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystems
    Martin Lněnička, Anastasija Nikiforova, Mariusz Luterek · 2024 · SSRN Electronic Journal
  22. Why We Should Trust Systems, Not Just Their AI/ML Components
    Marco Paulo Amorim Vieira · 2025 · Computer
  23. Formal XAI via Syntax-Guided Synthesis
    Katrine Bjørner, Samuel Judson, Filip Cano, Drew Goldman, Nick Shoemaker, Ružica Piskač, Bettina Könighofer · 2023 · Lecture notes in computer science
  24. Unraveling the Mysteries of Alzheimer's Disease Using Artificial Intelligence
    Siddhant Tripathi, Yashika Sharma, Dileep Kumar · 2024 · Reviews on Recent Clinical Trials
  25. Interpretable Disorder Signatures: Probing Neural Latent Spaces for Schizophrenia, Alzheimer’s, and Autism Stratification
    Zafar Iqbal, Md Mahfuzur Rahman, Qasim Zia, Pavel Popov, Zening Fu, Vince D. Calhoun, Sergey Plis · 2025 · Brain Sciences
  26. Space layout automation and optimization for energy-efficient buildings: A multi-objective evolutionary approach with machine learning analytics
    Peiying Huang, Xing Zheng, Yi Zhang · 2026 · Energy and Buildings
  27. Human-Centric Enterprise Security: Advancing Access Control through AI-Driven Administration
    Amina Mariam, Ahmed Berrada · 2024
  28. Fairness via Fuzzy Systems: Analysis of Accuracy–Fairness Tradeoff by Multiobjective Fuzzy Genetics-Based Machine Learning
    Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima · 2025 · IEEE Transactions on Fuzzy Systems
  29. Implementation of Artificial Intelligence in Fraud Detection and Prevention Through a Systematic Literature Review and Its Implications for the Financial Sector
    Eko Budi Satoto, Yohanes Gunawan Wibowo · 2026 · Ilomata International Journal of Management
  30. Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
    Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert John Walsh, Krishna Kumar Hariprasannan, David S.P. Tan, Tuan Zea Tan, Jason J. Pitt, Anand Devaprasath D. Jeyasekharan, Vaibhav Rajan · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  31. Certificates in AI: Learn but Verify
    Clark Barrett, Thomas A. Henzinger, Sanjit Arunkumar Seshia · 2025 · Communications of the ACM
  32. Explainable Fairness and Propensity Score Matching
    Paolo Giudici, Golnoosh Babaei · 2025 · Applied Stochastic Models in Business and Industry
  33. Explainable AI, Federated Learning, and AI Ethics in E-Commerce
    Gunjan Garg, Chander Prabha, Bhavisha Ahuja · 2024 · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series
  34. Explainable artificial intelligence in epilepsy management: Unveiling the model interpretability
    Najmusseher Najmusseher, P. K. Nizar Banu, Ahmad Taher Azar, Nashwa Ahmad Kamal · 2025 · Elsevier eBooks
  35. Assigning Moral Responsibility for AI-Derived Errors in Healthcare: Shared Responsibilization Without Responsibility Gaps
    William Jinwoong Choi, Ryan Lam · 2024 · Digital Society
  36. Trustworthy Intelligence: Split Learning–Embedded Large Language Models for Smart IoT Healthcare Systems
    Mahbuba Ferdowsi, Nour Moustafa, Marwa Keshk, Benjamin Turnbull · 2026 · Electronics
  37. Intelligent valorization: Integrating AI, imaging, and sustainability for next-generation biofuel systems
    Sambandh Bhusan Dhal, Debashish Kar, Sergio Canzana Capareda · 2026 · Global Energy Interconnection
  38. A multistage, multitask transformer-based framework for multi-disease diagnosis and prediction using personal proteomes
    Han Li, Yongkang Li, Yukuan Liu, Johnathan Cooper‐Knock, Peng Gao, Xiaotao Shen, Shengquan Chen, Xudong Xing, Sai Zhang · 2025 · medRxiv
  39. Kardiyovasküler Hastalıkların Derin Öğrenme Algoritmaları İle Tanısı
    Ali Vırıt, Ali Öter · 2024 · Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji
  40. Interpretable Sequence Models for the Sales Forecasting Task: A Review
    Rishi Narang, Upendra Pratap Singh · 2023 · International Conference on Intelligent Computing and Control Systems (ICICCS)
  41. An automatic ontology construction approach for BIM-IoT semantic integration in intelligent operation and maintenance of high-speed railway stations
    Qing Ao Li, Huan Fang · 2025 · Engineering Research Express
  42. The logic of policies for energy price regulation in the future: A synergistic developmental perspective based on energy and carbon markets
    Xing Zhou, Jianze Xu, Fenglan Zhang · 2025 · Renewable and Sustainable Energy Reviews
  43. Feature Modelling
    Alexander Felfernig, Andreas A. Falkner, David Benavides · 2024 · SpringerBriefs in computer science
  44. 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 · 2025 · Artificial Intelligence Review
  45. FIEAP: A Machine Learning Approach for Fair and Interpretable Employee Attrition Prediction
    Ginel Dorleon · 2024 · Lecture notes in computer science
  46. Explainability, Interpretability, and Accountability in Explainable AI: A Qualitative Analysis of XAI's Sectoral Usability
    Yash Mirchandani · 2025
  47. An Overview of Trustworthy and Sustainable AI Development for Catalyst Screening: The Role of Explainable AI (XAI)
    Nirmala Parisutham · 2025 · World Scientific Annual Review of Artificial Intelligence
  48. Generative Artificial Intelligence for Exposure Therapy: Guidelines for Clinicians and Patients
    Andrew M. Sherrill, Dominik O. Mattioli, Rebecca L. Schneider, Kathryn M. Bell, Sadie Kee, Christopher W. Wiese, Saeed Abdullah, Donovan M. Ellis · 2025 · Journal of Cognitive Psychotherapy
  49. Advancements in predictive modeling for insurance pricing: Enhancing risk assessment and customer segmentation
    Ibrahim Adedeji Adeniran, Christianah Pelumi Efunniyi, Olajide Soji Osundare · 2024 · International Journal of Management & Entrepreneurship Research
  50. Unveiling the footprints of explainable AI in Industry 4.0/5.0: a systematic review and bibliometric exploration
    Oladosu Oyebisi Oladimeji, Gbadegesin Adetayo Taiwo, Dauda Adeite Adenusi · 2025 · Data Science and Management
  51. The effectiveness, equity and explainability of health service resource allocation—with applications in kidney transplantation & family planning
    Joris J. van de Klundert, Harwin de Vries, Francisco Pérez-Galarce, Nieves Valdés, Felipe Simon · 2025 · Frontiers in Health Services
  52. An AI Hybrid Building Energy Benchmarking Framework Across Two Time Scales
    Yi Lu, Tian Li · 2025 · Information
  53. AI in the Team Meeting Landscape
    Joseph A. Allen, Marvin Grabowski, Matthew S. Thiese, Emilee Eden · 2026 · Emerald Group Publishing Limited eBooks
  54. Joint explainable and fair AI in healthcare
    Reza Shahbazian, Irina Trubitsyna, Seyedeh Leili Mirtaheri · 2025 · BMC Medical Informatics and Decision Making
  55. Contemporary smart hydroponics systems: Taxonomy, enabling technologies, and challenges
    Abeer Ahmed, Rawan Alnawasrah, Basem Almadani · 2025 · Internet of Things
  56. Global investigation of 2D and 3D urbanization-induced impacts on urban extreme heat
    Qikang Zhao, Liang Gao, Qi Meng, Xuewen Lei · 2026 · Sustainable Cities and Society
  57. Explainable Sparse Associative Self-optimizing Neural Networks for Classification
    Adrian Horzyk, Jakub Kosno, Daniel Bulanda · 2023 · Communications in computer and information science
  58. Comprehensive Review on the Impact of Artificial Intelligence on Diagnosis and Personalized Treatment in Nuclear Medicine
    Fatima Ezzahra Arhouni, Ilias Zitouni, Saad Ouakkas · 2025 · SHS Web of Conferences
  59. Explainable Ensemble Learning and Trustworthy Open AI for Customer Engagement Prediction in Retail Banking
    Sudi Murindanyi, Margaret Nagwovuma, Barbara Nansamba · 2023
  60. Computational Approaches for Connecting Maternal Stress to Preterm Birth
    Amin Mirzaei, Bjarne C. Hiller, Ina Annelies Stelzer, Kristin Thiele, Yuqi Tan, Martin Becker · 2024 · Clinics in Perinatology
  61. Extracting Decision Paths via Surrogate Modeling for Explainability of Black Box Classifiers
    Jaber Rad, Karthik Tennankore, Samina Abidi, Syed Sibte Raza Abidi · 2024 · IEEE Swiss Conference on Data Science (SDS)
  62. Research Trends and Networks in Self-Explaining Autonomous Systems: A Bibliometric Study
    Oscar Peña-Cáceres, Elvis R. Garay Silupu, Darwin Aguilar-Chuquizuta, Henry Silva-Marchan · 2025 · Computers, materials & continua/Computers, materials & continua (Print)
  63. Informal Embodied Auditing: Exploring Facial Emotion AI (FEAI) through Community Workshops
    Xingyu Li, Alexandra Teixeira Riggs, Zhiming Dai, Crystal Byrd Farmer, Kalia G Morrison, Noura Howell · 2026 · CHI Conference on Human Factors in Computing Systems
  64. Artificial Intelligence in Adverse Outcome Pathways: A Review of Strategies for Automated Information Extraction, Quantitative Analysis, and Iterative Optimization
    Ziqi Zhu, Guiping Hu, Guang Jia · 2026 · Occupational Health
  65. Discovering Interpretable Feature Directions in the Embedding Space of Face Recognition Models
    Richard O. Plesh, Janez Križaj, Keivan Bahmani, Mahesh K. Banavar, Vitomir Štruc, Stephanie Schuckers · 2024 · IEEE International Joint Conference on Biometrics (IJCB)
  66. moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows
    Paolo Ceravolo, Tiziana Catarci, Marco Console, Philippe Cudré-Mauroux, Sven Groppe, Katja Hose, Jaroslav Pokorný, Oscar Romero, Robert Wrembel · 2024 · ACM SIGWEB Newsletter
  67. Combining Explainable Artificial Intelligence (Xai) With Blockchain Towards Trustworthy Data-Driven Policies
    Konstantinos Mavrogiorgos, Shlomit Gur, Nikolaos Kalantzis, Konstantinos Tzelaptsis, Xanthi S. Papageorgiou, Andreas Karabetian, Georgios Manias, Argyro Mavrogiorgou, Dimosthenis Kyriazis, Celia Parralejo Cano · 2025 · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
  68. Explainable Artificial Intelligence in Healthcare
    Sakshi, Gunjan Verma · 2025
  69. Effective Predictive Modelling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-Learning Gradient Boosting
    Mehdi Neshat, Michael Phipps, Nikhil Jha, Danial Khojasteh, Michael Tong, Amir H. Gandomi · 2025 · ACM Transactions on Computing for Healthcare
  70. AutoML‐Enhanced Delay Forecasting With SHAP Interpretability in Highway Work Zones Under Diversion Constraints
    Xiaomin Dai, Qingliang Liu, Wei Ye · 2026 · Journal of Advanced Transportation
  71. Chat with the 'For You' Algorithm: An LLM-Enhanced Chatbot for Controlling Video Recommendation Flow
    Shuo Niu, Dikshith Vishnuvardhan, Venkata Sai Reddy Punnam · 2025 · ACM Conference on Conversational User Interfaces (CUI)
  72. Mapping the vertical city: AI-driven analysis of volumetric urban space use
    Yi‐Ya Hsu, Hoon Han · 2025 · Sustainable Cities and Society
  73. Unveiling viral marketing dynamics in online social networks: insights from China's otome games and explainable predictive modeling
    Syrios Siyao Li, Sufang Wang, Matthew Lee · 2025 · Internet Research
  74. Testing Stimulus Equivalence in Transformer-Based Agents
    Alexis Carrillo, Moisés Betancort · 2024 · Future Internet
  75. Artificial intelligence integration in materials science
    Mohammad Abu‐Shams · 2026 · Discover Applied Sciences
  76. Climate-adaptive building design through explainable AI: 3D spatial layout automation and evolutionary optimization across climate zones
    Peiying Huang, Yanxiang Yang, Wen Gao, Xing Zheng, Pengyuan Shen · 2025 · Journal of Building Engineering
  77. Models are Central to AI Assurance
    Robin Bloomfield, John Rushby · 2024 · IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)
  78. Transparent non-destructive estimation of moisture content in vegetables using hyperspectral imaging, multi-target regression pipeline approach and explainable AI
    Jyotisana Meena, Sujatha Narayanan Unni · 2026 · Engineering Research Express
  79. Machine Learning Models for Prediction of Gender Based on Lumbar Vertebral Morphometry
    Mădălina Maria Diac, Gina Madalina Toma, Simona Irina Damian · 2023 · Preprints.org
  80. Leveraging Explainable Artificial Intelligence (XAI) Methods Supporting Local and Global Explainability for Smart Grids
    Gökçen Özdemir, Umut Ozdemir, Murat Kuzlu · 2024 · Global Energy Conference (GEC)
  81. Inherent causal indeterminacy: on causal responsibility of AI-based care robots
    Mario Kropf · 2026 · AI and Ethics
  82. Loss Aware Feature Attention Mechanism for Class and Feature Imbalance Issue
    Yuewei Wu, Ruiling Fu, Tongtong Xing · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
  83. Strengthening Algorithmic Safety Through Responsible and Explainable AI : A Conceptual Framework
    Aditi Jain, Shabana Azami, Sushant Kumar Vishnoi, Sarjue Pandita, Ankit Garg · 2026 · Prabandhan Indian Journal of Management
  84. MeDeA: Decomposable Attention for Intrinsically Interpretable ECG Diagnosis
    Yulong Ge, Yingying Wang, Qing Ming · 2026 · SSRN Electronic Journal
  85. Representation Before Retrieval: Structured Patient Artifacts Reduce Hallucination in Clinical AI Systems
    Joe Scanlin, Armando Gutiérrez Cuesta, Martin Varsavsky · 2026 · medRxiv
  86. Domain Experience and Expertise in Explainable AI Applications: A Bearing Fault Diagnosis Case Study
    Zibin Zhao, Michael Castelle, Çağatay Turkay · 2025 · Proceedings of the ACM on Human-Computer Interaction
  87. Explainable ai-driven triple adaptive feature selection model for enhanced telecom churn prediction
    Danish Javed, N Z Jhanjhi, Najma Imtiaz Ali · 2026 · Results in Engineering
  88. Using Machine Learning to Identify High-Risk Employee Activity in Proactive Insider Threat Detection
    M. Balasubramani, N. Selvamuthukumaran, P. Deepa · 2024 · Advances in information security, privacy, and ethics book series
  89. Exploring Explainable AI Methods for Decoding Machine Learning Model Decisions
    Shruti Kumar, Namrata Dhanda, Kapil Kumar Gupta · 2025 · International Conference on Inventive Computing and Informatics (ICICI)
  90. Artificial Intelligence and Academic Scholarship
    Saptarshi Kumar Sarkar, Anupama Sen, Sreya Barik · 2025 · Advances in computational intelligence and robotics book series
  91. Explainable AI in Marketing
    Florence Nizette, Wafa Hammedi · 2025 · Springer eBooks
  92. Integrating explainability and bias detection in binary medical image classification: a systematic review
    Elkin Díaz, Vasudevan Lakshminarayanan, Liliana Calderón-Benavides · 2025 · Machine Learning Health
  93. Explainable Moderation in Multiplayer Games: Player Responses to Explanations of an Automated Temporary Ban
    Timothy Holland, Lucy A. Sparrow, Wally Smith, Sarah Ellen Webber · 2026 · CHI Conference on Human Factors in Computing Systems
  94. On the Representation of Tabular Data for Explainable LLM-Based Road Fatality Prediction
    Umar Hasan, Riasat Khan · 2026 · SN Computer Science
  95. Explainable multi-modal approach for uncovering key predictors of stroke-risk from ECG, EMG, blood pressure, and respiratory signals
    Jalal Krayem, Lily Wong, Lai Kuan Tham · 2026 · Scientific Reports
  96. Prediction of the Shear Strengths of New–Old Interfaces of Concrete Based on Data-Driven Methods Through Machine Learning
    Yongqian Wu, Wantao Xu, Juanjuan Chen, Jie Liu, Fangwen Wu · 2025 · Buildings
  97. Explainable Text-Based Depression and Suicide Risk Prediction from Social Media Using Deep Learning and Graph Neural Networks
    Atiq Ur Rehman, Abid Iqbal, Ali Sayyed, Zaheer Aslam, Muhammad Ismail Mohmand, Ghassan Husnain · 2026 · Healthcare
  98. Integrating Reinforcement Learning with Explainable AI for Real-Time Decision Making in Dynamic Environments
    Sandeep Kumar · 2025 · International Conference on Emerging Smart Computing and Informatics (ESCI) · Retracted
  99. Explainable Transient Voltage Stability Margin Assessment Based on Spatiotemporal Deep Learning and Feature Contribution Analysis
    Boyu Qin, Zhe Wu, Peicheng Chen · 2026 · IET Generation Transmission & Distribution
  100. Renewable Energy‐Driven Green Electricity Supplement for Empowering Blue Economy
    Ruibo Fan, Kai Feng, Tiankai Zhang · 2026 · SusMat