Explainable Artificial Intelligence

Also known as XAI

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Overview

Explainable artificial intelligence studies how to show why models make particular predictions or take actions, so people can assess errors, bias, uncertainty, and appropriate use. Common approaches include post-hoc feature attribution such as SHAP and LIME, saliency maps for images, counterfactual examples, and models designed around interpretable rules or concepts; newer systems also turn evidence and execution traces into interactive or natural-language explanations. Researchers test whether explanations reflect model behavior and remain stable, but increasingly also measure whether people can understand them and make better decisions in settings such as healthcare, finance, cybersecurity, and autonomous systems. A central tension is that explanations that are faithful to complex models may be difficult to use, while fluent or persuasive explanations can encourage misplaced trust without improving understanding or decisions.

Latest papers

CardsList

326 papers26 papers in the last four weeks, down 21% on the four weeks before. 0.2% of all new papers.

  1. Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal Adjudication

    May 4, 2026Stanisław Sójka, Witold KowalczykExplainable Artificial IntelligenceLegal Document Analysis

    Delos AI Inc.

  2. Robust and Explainable Divide-and-Conquer Learning for Intrusion Detection

    May 3, 2026Yan Zhou, Kevin Hamlen, Michael De Lucia +5Explainable Artificial IntelligenceNetwork Intrusion Detection

    University of Texas at Dallas, Richardson, TX · DEVCOM, Army Research Laboratory, Adelphi, MD · Department of Computer Science, Virginia Tech, Blacksburg, VA +1

  3. Less Interaction But More Explanation: A Communication Perspective on Agentic AI Interfaces

    May 2, 2026Eunchae Jang, S. Shyam SundarExplainable Artificial IntelligenceHuman-AI Interaction

    Media Effects Research Laboratory, Pennsylvania State University, Pennsylvania, USA · Center for Socially Responsible AI, Pennsylvania State University, Pennsylvania, USA

  4. Rethinking Explanations: Formalizing Contrast in Description Logics

    May 2, 2026Yasir Mahmood, Arnab Sharma, Axel-Cyrille Ngonga Ngomo +1Logical ReasoningExplainable Artificial Intelligence

    Data Science Group, Heinz Nixdorf Institute, Paderborn University Germany

  5. rAIson: Developing Reliable Decision-Making Agents

    May 2, 2026Pavlos Moraitis, Nikolaos Spanoudakis, Antonis KakasAI Agent ReliabilityExplainable Artificial Intelligence

    Argument Theory Paris, FR Université Paris Cité Paris, FR · Argument Theory Paris, FR Hellenic Mediterranean University Chania, GR · Argument Theory Paris, FR University of Cyprus Nicosia, CY

  6. NEURON: A Neuro-symbolic System for Grounded Clinical Explainability

    May 2, 2026Anuradha Chandrasekaran, Dimitrios Zikos, Mutlu Mete +3Explainable Artificial IntelligenceClinical Outcome Prediction

    University of North Texas, USA and Texas Tech University Health Sciences Center, USA · Texas Tech University Health Sciences Center, USA · University of North Texas, USA

  7. An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving

    Apr 30, 2026Maryam Sadat Hosseini Azad, Shahriar Baradaran Shokouhi, Amir Abbas Hamidi Imani +2Explainable Artificial IntelligenceAutonomous Driving

    Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran · Department of Computing Science, University of Alberta, Edmonton, AB T6G, Canada

  8. CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations

    Apr 30, 2026Louth Bin Rawshan, Zhuoyu Wang, Brian Y. LimFeature AttributionExplainable Artificial Intelligence

    National University of Singapore, Singapore

  9. Machine Collective Intelligence for Explainable Scientific Discovery

    Apr 30, 2026Gyoung S. Na, Chanyoung ParkExplainable Artificial IntelligenceAutonomous Scientific Discovery

    Korea Research Institute of Chemical Technology (KRICT) · Korea Advanced Institute of Science and Technology (KAIST)

  10. Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution

    Apr 29, 2026Karol Dobiczek, Maciej Mozolewski, Szymon Bobek +3Feature AttributionExplainable Artificial Intelligence

    Department of Human-Centered Artificial Intelligence, Institute of Applied Computer Science, Jagiellonian University, Krakow, Poland · Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland

  11. FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing

    Apr 29, 2026Morayo Danielle Adeyemi, Ryan A. Rossi, Franck DernoncourtExplainable Artificial IntelligenceImage Classification

    Howard University USA · Adobe Research USA

  12. Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems

    Apr 28, 2026Ben Knight, Wm. Matthew Kennedy, Danielle Carvalho +2Explainable Artificial IntelligenceAI in Education

    Oxford University Press, UK · Oxford Internet Institute University of Oxford, UK

  13. Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis

    Apr 24, 2026Zhilin Fan, Deliang Wang, Penghe Chen +1Explainable Artificial IntelligenceAI in Education

    School of Educational Technology, Beijing Normal University, Beijing, China · Faculty of Education, The University of Hong Kong, Hong Kong SAR, China · Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China

  14. Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI

    Apr 23, 2026Hieu Man, Van-Cuong Pham, Nghia Trung Ngo +2Variational AutoencodersDisentangled Representation Learning

    University of Oregon, OR, USA · Adobe Research, CA, USA

  15. Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs

    Apr 22, 2026Gricel Vázquez, Alexandros Evangelidis, Sepeedeh Shahbeigi +2Explainable Artificial IntelligenceHuman-in-the-Loop AI

    University of York, UK · Cyprus University of Technology, Cyprus

  16. TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs

    Apr 21, 2026Ziyi Wang, Chen Zhang, Wenjun Peng +2CoT FaithfulnessMulti-Agent LLM Systems

    1Adelaide University, Australia

  17. PREF-XAI: Preference-Based Personalized Rule Explanations of Black-Box Machine Learning Models

    Apr 21, 2026Salvatore Greco, Jacek Karolczak, Roman Słowiński +1Explainable Artificial IntelligenceUser Preference Modeling

    University of Catania, Department of Economics and Business, Corso Italia 55, Catania, 95129, Italy · Poznan University of Technology, Institute of Computing Science,2026 Piotrowo 2, Poznań, 60-965, Poland · bPoznan University of Technology, Institute of Computing Science,2026 Piotrowo 2, Poznań, 60-965, Poland +1

  18. When Can We Trust Deep Neural Networks? Towards Reliable Industrial Deployment with an Interpretability Guide

    Apr 21, 2026Hang-Cheng Dong, Yuhao Jiang, Yibo Jiao +5Explainable Artificial IntelligenceIndustrial Anomaly Detection

  19. On the Importance and Evaluation of Narrativity in Natural Language AI Explanations

    Apr 20, 2026Mateusz Cedro, David MartensNatural Language Explanation GenerationExplainable Artificial Intelligence

    University of Antwerp, Belgium

  20. ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

    Apr 20, 2026Saeid Sheikhi, Panos Kostakos, Lauri LovenExplainable Artificial IntelligenceNetwork Intrusion Detection

    Faculty of Information Technology and Electrical Engineering, University of Oulu, , Oulu, 90570, , Finland

  21. Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA

    Apr 20, 2026Sanaz Sadat Hosseini, Mona Azarbayjani, Mohammad Pourhomayoun +1Explainable Artificial IntelligenceAI Literacy

    The University of North Carolina at Charlotte, Charlotte, NC · California State University, Los Angeles, CA

  22. Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning Training

    Apr 19, 2026Weibing Zheng, Laurah Turner, Jess Kropczynski +3Requirements EngineeringExplainable Artificial Intelligence

    School of Information Technology · College of Medicine

  23. The Query Channel: Information-Theoretic Limits of Masking-Based Explanations

    Apr 17, 2026Erciyes Karakaya, Ozgur ErcetinFeature AttributionExplainable Artificial Intelligence

    *Department of Electrical and Computer Engineering, University of Maryland, College Park, USA · †Faculty of Engineering and Natural Sciences, Sabanci University, Turkiye

  24. Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing

    Apr 17, 2026Thomas Bayer, Alexander Lohr, Sarah Weiß +2ManufacturingLLM Grounding

    University of Applied Sciences Ravensburg-Weingarten, Germany

  25. Towards Rigorous Explainability by Feature Attribution

    Apr 17, 2026Olivier Létoffé, Xuanxiang Huang, Joao Marques-SilvaFeature AttributionExplainable Artificial Intelligence

    IRIT, University of Toulouse France · Nanyang Technological University, Singapore · ICREA & Univ. Lleida, Spain

  26. Agentic Explainability at Scale: Between Corporate Fears and XAI Needs

    Apr 16, 2026Yomna Elsayed, Cecily JonesExplainable Artificial IntelligenceAI Agent Monitoring

    Credo AI

  27. M2-PALE: A Framework for Explaining Multi-Agent MCTS--Minimax Hybrids via Process Mining and LLMs

    Apr 16, 2026Yiyu Qian, Liyuan Zhao, Tim MillerExplainable Artificial IntelligenceGame-Playing Agents

    RMIT University, Melbourne, Victoria 3000, Australia · University of California, Irvine, Irvine, CA 92617, USA · University of Queensland, Brisbane, Queensland 4072, Australia

  28. Post-Hoc Uncertainty-Aware Explanations for Deployed Power Quality Disturbance Classifiers via Laplace Approximation

    Apr 15, 2026Yinsong Chen, Samson S. Yu, Kashem M. MuttaqiExplainable Artificial IntelligenceFeature Attribution

    School of Engineering, Deakin University, Melbourne, 3216, VIC, Australia · ARC Training Centre in Energy Technologies for Future Grids, School of Engineering, University of Wollongong, Wollongong, 2522, NSW, Australia

  29. Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making

    Apr 15, 2026Pramudita Satria Palar, Paul Saves, Muhammad Daffa Robani +6Surrogate ModelingExplainable Artificial Intelligence

    Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung, 15414, West Java, Indonesia. · IRIT, Université Toulouse Capitole, Toulouse, 31000,France. · AwanTunai, Urban Suites, 3 Hullet Road, Singapore, 229158, Singapore, Singapore. +2

  30. A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models

    Apr 14, 2026Augustin de la Brosse, Damien Garreau, Thomas Houet +1Concept-Based ExplanationsExplainable Artificial Intelligence

    Université Rennes 2, CNRS, Nantes Université, Univ Brest, LETG, UMR 6554, 35000 Rennes, France · LTSER Zone Atelier Armorique, Rennes, France · University of Würzburg, Center for Artificial Intelligence and Data Science, Germany