Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

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6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

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Toward 6G Networks: Use Cases and Technologies

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The Roadmap to 6G: AI Empowered Wireless Networks

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XAI—Explainable artificial intelligence

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What should 6G be?

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Consistent Individualized Feature Attribution for Tree Ensembles

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DARPA's Explainable Artificial Intelligence Program

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Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesPreprint

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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

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Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges

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In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

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Interpretable Convolutional Neural Networks

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Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

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Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach

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Hey Alexa . . . examine the variables influencing the use of artificial intelligent in-home voice assistants

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Industry 5.0 and Human-Robot Co-working

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Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

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Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review

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Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

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Artificial-Intelligence-Enabled Intelligent 6G Networks

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Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

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DARPA's explainable artificial intelligence (XAI) program

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6G networks: Beyond Shannon towards semantic and goal-oriented communications

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Metrics for explainable AI: challenges and prospects

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

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From BIM to extended reality in AEC industry

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Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep LearningPreprint

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Machine Learning at Facebook: Understanding Inference at the Edge

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When Machine Learning Meets Privacy: A Survey and Outlook

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The Roadmap to 6G Security and Privacy

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Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions

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Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics

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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

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6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap

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A Digital Twin Based Industrial Automation and Control System Security Architecture

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Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)

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Explainable Artificial Intelligence: a Systematic Review

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A Multidirectional LSTM Model for Predicting the Stability of a Smart Grid

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Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation

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Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine

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Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

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ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms

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Gaining Insight Into Solar Photovoltaic Power Generation Forecasting Utilizing Explainable Artificial Intelligence Tools

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Research Issues and Challenges in AI-Embedded 6G Network Architecture

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Artificial Intelligence in Accounting and Finance: Challenges and Opportunities

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A Comprehensive Exploration of 6G Wireless Communication Technologies

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A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions

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Advancing 6G: Survey for Explainable AI on Communications and Network Slicing

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Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions

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A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection

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XAI for Industry 5.0—Concepts, Opportunities, Challenges, and Future Directions

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Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey

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Underwater Fish Detection and Counting Using Mask Regional Convolutional Neural Network

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Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems

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Graph Neural Networks for Intelligent Modelling in Network Management and Orchestration: A Survey on Communications

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SIX-Trust for 6G: Toward a Secure and Trustworthy Future Network

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Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services

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Sum Secrecy Rate Maximization for IRS-Aided Multi-Cluster MIMO-NOMA Terahertz Systems

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Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

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Unleashing the Potential of 5G for Smart Cities: A Focus on Real-Time Digital Twin Integration

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Securing the 6G–IoT Environment: A Framework for Enhancing Transparency in Artificial Intelligence Decision-Making Through Explainable Artificial Intelligence

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Unlocking a Promising Future: Integrating Blockchain Technology and FL-IoT in the Journey to 6G

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Future of Connectivity: A Comprehensive Review of Innovations and Challenges in 7G Smart Networks

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EXPLORA: AI/ML EXPLainability for the Open RAN

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Cybersecurity in Electric and Flying Vehicles: Threats, Challenges, AI Solutions & Future Directions

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A conceptual model for network security automation: Leveraging ai-driven frameworks to enhance multi-vendor infrastructure resilience

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AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare

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Recent Advances in Deep Learning for Channel Coding: A Survey

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Resilience and Failure Analysis in Next-Generation Communication Networks: A Contemporary Survey

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Bridging Data and Decision-Making: AI-Enabled Analytics for Project Management in Oil and Gas Infrastructure

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A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges, and Opportunities

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Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case

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Addressing Security Orchestration Challenges in Next-Generation Networks: A Comprehensive Overview

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XMID-MQTT: explaining machine learning-based intrusion detection system for MQTT protocol in IoT environment

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Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders

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AI empowered 6G technologies and network layers: Recent trends, opportunities, and challenges

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Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process

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Bringing intelligence to Edge/Fog in Internet of Things-based healthcare applications: Machine learning/deep learning-based use cases

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Utilization of machine learning in future wireless networks for resource optimization: A survey

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Explainable federated class incremental learning for Encrypted Network Traffic classification

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Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks

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Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing

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Efficient Attentive U-Net for Fault Diagnosis and Predictive Maintenance of Photovoltaic Panels Through Infrared Thermography

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Challenges of Explainable AI in Security Decision-Making

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Mission Planning of UAVs and CAVs Based on Graph Neural Network Transformer Model

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Joint AP Scheduling and Power Allocation Based on Synergistic DRL for Cell-Free Massive MIMO

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Explainable Reliability Modeling and Runtime Monitoring of Software Systems in Electric Vehicle Charging Infrastructure

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THE UTILIZATION OF 6G IN INDUSTRY 4.0

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Optimized Data Transmission and Signal Processing for Telepresence Suits in Multiverse Interactions

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Deep Reinforcement Learning and IoT for Renewable Energy Optimization in Smart Buildings: A Comprehensive Review

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Reliability and Availability in Virtualized Networks: A Survey on Standards, Modeling Approaches, and Research Challenges

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Privacy-Preserving Federated Learning for Pneumonia Diagnosis

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Explainable Artificial Intelligence into Cyber-Physical System Architecture of Smart Cities: Technologies, Challenges, and Opportunities

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XAI for Maintainability Prediction of Software-Defined Networks

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A Survey of 5G Core Network User Identity Protections, Concerns, and Proposed Enhancements for Future 6G Technologies

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Explainable AI for Big Data Analytics in Urban Mobility Forecasting

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Explainability in action: A metric-driven assessment of local explanations for healthcare tabular models

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Realistic Performance Assessment of Machine Learning Algorithms for 6G Network Slicing: A Dual-Methodology Approach with Explainable AI Integration

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Toward 6G-Enabled URLLCs: Digital Twin, Open Ran, and Semantic Communications

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Hybrid LLM-Assisted Fault Diagnosis Framework for 5G/6G Networks Using Real-World Logs

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AI-Powered Collective Decision-Making Systems and the Future Trends

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From Ground to Orbit: A Reliable AI Framework for Unified Network Management

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Explainable AI (XAI) for Network Operations and Troubleshooting

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Hybrid precoding design for secure smart-grid enabled MIMO wireless communications in Industry 5.0

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Neuro- Symbolic Compliance Architectures: Real-Time Detection of Evolving Financial Crimes Using Hybrid AI

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6G AI Security: From Fundamentals to Offensive and Defensive Landscape in 6G

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Deep Reinforcement Learning for Resource Management in Device-to-Device (D2D)-Assisted 6G Networks: Current Solutions, Open Issues, and Future Directions

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Future on Wheels: Safeguarding Privacy in Tomorrow’s Connected Vehicles-FUTURE-SP

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AIChronoLens: AI/ML Explainability for Time Series Forecasting in Mobile Networks

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Explainable AI in Edge Devices: A Lightweight Framework for Real-Time Decision Transparency

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Ethical Challenges in AI-Powered Supply Chains: A U.S.-Nigeria Policy Perspective

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Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

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Explainability analysis based on attribution features for optimizing automatic modulation classification

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Explainable and Compliant AI for 6G Communication Systems: Auditable Federated GANs with Blockchain-Backed Traceability and Smart Contract Governance

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Hybrid GNN-Centric Architectures for AI-Native 6G Wireless Networks: A Comprehensive Survey

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Does artificial intelligence improve accessibility in cultural and heritage tourism? Evidence from a design-led review and the Inclusive Human–AI Mediation (IHAM) framework

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Optimizing Antenna Design through AI Integration: A Concise Review

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A reflective reasoning and distributed mitigation-based collaborative scheduling framework for secure and resilient smart grids

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Visual Question Answering for Intelligent Communication Systems: A Systematic Review

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Hybrid SSA-GWO optimized ensemble learning for malicious node detection in wireless sensor networks

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IMPROVING FASHION INDUSTRY USING ARTIFICIAL INTELLIGENCE-ENABLED IN-VIDEO ADVERTISEMENTS

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Artificial Intelligence-Aided Next Generation Cloud Computing Networks

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ML-Driven Energy Savings for Cellular Baseband Units via Traffic Prediction

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Intent-Based End-to-End Explainability Orchestration Framework for AI-Native Networks

Bilgin, B., Aktaş, S., & Bas, S. (2025) · IEEE International Conference on Network Softwarization (NetSoft) · doi:10.1109/netsoft64993.2025.11080599 · Cited by 2 · see citing works

Flexible Bit and Semantic On-Demand Transmission Framework in Hyper-Reliable and Low Latency Communications Scenarios

Zhang, J., Cheng, X., Zhang, H., Cui, P., Lv, S., Xu, X., Zhang, P., & Quek, T. Q. S. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3598278 · Cited by 2 · see citing works

6GxAID: Integrating 6G Networks and eXplainable Artificial Intelligence for Drone-Based Assistance in Emergency Situations

Rago, A., Fascista, A., Piro, G., Boggia, G., & Grieco, L. A. (2025) · International Conference on Transparent Optical Networks · doi:10.1109/icton67126.2025.11125198 · Cited by 2 · see citing works

Robust False Data Injection Identification Framework for Power Systems Using Explainable Deep Learning

Aldehim, G., Basheer, S., Alluhaidan, A. S., & Sakri, S. B. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.065643 · Cited by 2 · see citing works

Analysis of Techno-Social and Regulatory Challenges in Future 6G Networks and Services

Sridhar, V., Mishra, A., & Iqubbal, A. (2025) · IEEE Technology and Society Magazine · doi:10.1109/tts.2025.3621860 · Cited by 2 · see citing works

Neuro Symbolic Architectures with Artificial Intelligence for Collaborative Control and Intention Prediction

Ejalonibu, A. K. (2025) · GSC Advanced Research and Reviews · doi:10.30574/gscarr.2025.24.3.0288 · Cited by 2 · see citing works

Challenges and Innovations in Intelligent Manufacturing to Overcome Barriers for Industry 6.0

Majeed, H., & Iftikhar, T. (2026) · Springer eBooks · doi:10.1007/978-3-032-07278-8_8 · Cited by 2 · see citing works

Blockchain and Explainable Federated Learning-based V2X Communication Framework for ITS in 6G

Patel, C., Sheth, P., Shah, M. H., Mehta, D., Kumari, A., Gupta, R., Tanwar, S., & Jhanjhi, N. Z. (2025) · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · doi:10.1109/gecost66002.2025.11324682 · Cited by 2 · see citing works

A survey on explainable AI for semantic communication: Architecture, challenges, and future opportunities

Zia, M. F., Ouameur, M. A., Bagaa, M., Massicotte, D., & Ksentini, A. (2026) · Computer Networks · doi:10.1016/j.comnet.2026.112142 · Cited by 2 · see citing works

A comprehensive analysis of explainable AI-driven machine learning techniques for network intrusion detection systems

Manivannan, D. (2026) · High-Confidence Computing · doi:10.1016/j.hcc.2026.100423 · Cited by 2 · see citing works

6G Network Dynamics and Complexity Metrics Evaluation Within Artificially Intelligent Digital Twin Cyber-Physical Systems for Enhanced Industry 4.0 Performance

Xiao, Y., & Lu, X. (2024) · Wireless Personal Communications · doi:10.1007/s11277-024-11195-z · Cited by 2 · see citing works

Integrating GenAI with Existing Financial Systems on Google Cloud

Yenugula, M. (2024) · International Research Journal of Education and Technology (IRJET). · doi:10.70127/irjedt.vol.7.issue10.451 · Cited by 2 · see citing works

Natural Language Interpretability for ML-Based QoT Estimation via Large Language Models

Ayoub, O., Natalino, C., Troìa, S., Rottondi, C., Andreoletti, D., Lelli, F., Giordano, S., & Paolo Monti, A. (2025) · International Conference on Transparent Optical Networks · doi:10.1109/icton67126.2025.11125132 · Cited by 2 · see citing works

Personalizing Education in the AI Era: The Comprehensive Impact of Customized Chatbots Across Educational Domains

Kılınç, S. (2025) · Future education and learning spaces · doi:10.1007/978-981-96-9251-4_2 · Cited by 2 · see citing works

Advanced AI techniques for optimizing resource allocation in 6G networks: A hybrid diffusion-enhanced meta-deep-reinforcement-learning framework

Radha, B., & Sarojini, R. (2025) · AIP Advances · doi:10.1063/5.0296968 · Cited by 2 · see citing works

Explainable Artificial Intelligence (XAI) for Trustworthy AI in 6G Networks

Shafik, W. (2025) · Advances in wireless technologies and telecommunication book series · doi:10.4018/979-8-3373-0568-4.ch007 · Cited by 1 · see citing works

A Survey on 6G O-RAN Based on Explainable AI

Yong, L., & Shanyun, Y. (2026) · DOAJ (DOAJ: Directory of Open Access Journals)

Explainable Artificial Intelligence (XAI) for Ethical and Trustworthy Decision-Making in 6G Networks

Arya, L., Raju, E. S., Santosh, M. V. S., Santosh Kumar, M. P. J., Rastogi, R., Elloumi, M., Arumugam, T., & Namasivayam, B. (2025) · Advances in wireless technologies and telecommunication book series · doi:10.4018/979-8-3373-0568-4.ch008 · Cited by 5 · see citing works

Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine

Guo, W. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.2000050 · Cited by 256 · see citing works

Advancing 6G: Survey for Explainable AI on Communications and Network Slicing

Sun, H., Liu, Y., Al-Tahmeesschi, A., Nag, A., Soleimanpour-Moghadam, M., Canberk, B., Arslan, H., & Ahmadi, H. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3534626 · Cited by 111 · see citing works