Explainable artificial intelligence
AI whose outputs can be understood by humans
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📌 Topics
- Explainable AI (9)
- AI Explainability (3)
- Machine Learning (3)
- Cybersecurity (2)
- Artificial Intelligence (1)
- Network Security (1)
- Human-Computer Interaction (1)
- Machine Translation (1)
- Multimodal AI (1)
- Knowledge Graphs (1)
- Medical Diagnostics (1)
- AI Transparency (1)
🏷️ Keywords
Explainable AI (13) · AI interpretability (3) · Cybersecurity (2) · arXiv (2) · Attribution Methods (2) · XAI (2) · Machine Learning (2) · multimodal AI (2) · Neural Networks (2) · Deep Learning (2) · Intrusion Detection (1) · Large Language Models (1) · Software-Defined Networking (1) · semi-factuals (1) · explanations (1) · user preference (1) · trust (1) · elaborated explanations (1) · Neural Machine Translation (1) · Knowledge Distillation (1)
📖 Key Information
📰 Related News (19)
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🇺🇸 Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
arXiv:2604.06266v1 Announce Type: cross Abstract: Software-Defined Networking (SDN) improves network flexibility but also increases the need for reli...
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🇺🇸 AI-Mediated Explainable Regulation for Justice
arXiv:2604.00237v1 Announce Type: cross Abstract: Present practice of deciding on regulation faces numerous problems that make adopted regulations st...
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🇺🇸 Language Models Can Explain Visual Features via Steering
arXiv:2603.22593v1 Announce Type: cross Abstract: Sparse Autoencoders uncover thousands of features in vision models, yet explaining these features w...
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🇺🇸 Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
arXiv:2603.22624v1 Announce Type: cross Abstract: Attribution maps for semantic segmentation are almost always judged by visual plausibility. Yet loo...
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🇺🇸 Informative Semi-Factuals for XAI: The Elaborated Explanations that People Prefer
arXiv:2603.17534v1 Announce Type: new Abstract: Recently, in eXplainable AI (XAI), $\textit{even if}$ explanations -- so-called semi-factuals -- have...
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🇺🇸 Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation
arXiv:2603.11342v1 Announce Type: cross Abstract: The study of the attribution of input features to the output of neural network models is an active ...
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🇺🇸 MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs
arXiv:2507.20804v2 Announce Type: replace Abstract: Large Language Models (LLMs) often suffer from hallucinations, which Retrieval-Augmented Generati...
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🇺🇸 Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer Disease
arXiv:2603.06758v1 Announce Type: cross Abstract: Alzheimer disease (AD) diagnosis and prognosis increasingly rely on machine learning (ML) models. A...
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🇺🇸 VisualScratchpad: Inference-time Visual Concepts Analysis in Vision Language Models
arXiv:2603.07335v1 Announce Type: new Abstract: High-performing vision language models still produce incorrect answers, yet their failure modes are o...
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🇺🇸 DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models
arXiv:2603.06302v1 Announce Type: cross Abstract: As Vision-Language Models (VLMs) become increasingly sophisticated and widely used, it becomes more...
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🇺🇸 Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
arXiv:2602.22488v1 Announce Type: cross Abstract: Distributed denial-of-service (DDoS) attacks threaten the availability of Internet of Things (IoT) ...
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🇺🇸 Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics
arXiv:2602.22702v1 Announce Type: new Abstract: Existing neural network calibration methods often treat calibration as a static, post-hoc optimizatio...
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🇺🇸 Physics-based phenomenological characterization of cross-modal bias in multimodal models
arXiv:2602.20624v1 Announce Type: new Abstract: The term 'algorithmic fairness' is used to evaluate whether AI models operate fairly in both comparat...
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🇺🇸 XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
arXiv:2602.21178v1 Announce Type: cross Abstract: Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption rem...
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🇺🇸 Hierarchical Retrieval at Scale: Bridging Transparency and Efficiency
arXiv:2502.07971v2 Announce Type: replace-cross Abstract: Information retrieval is a core component of many intelligent systems as it enables conditi...
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🇺🇸 X-SYS: A Reference Architecture for Interactive Explanation Systems
arXiv:2602.12748v1 Announce Type: new Abstract: The explainable AI (XAI) research community has proposed numerous technical methods, yet deploying ex...
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🇺🇸 EXCODER: EXplainable Classification Of DiscretE time series Representations
arXiv:2602.13087v1 Announce Type: cross Abstract: Deep learning has significantly improved time series classification, yet the lack of explainability...
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🇺🇸 Power Interpretable Causal ODE Networks: A Unified Model for Explainable Anomaly Detection and Root Cause Analysis in Power Systems
arXiv:2602.12592v1 Announce Type: cross Abstract: Anomaly detection and root cause analysis (RCA) are critical for ensuring the safety and resilience...
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🇺🇸 Can Neural Networks Provide Latent Embeddings for Telemetry-Aware Greedy Routing?
arXiv:2602.12798v1 Announce Type: cross Abstract: Telemetry-Aware routing promises to increase efficacy and responsiveness to traffic surges in compu...
🔗 Entity Intersection Graph
People and organizations frequently mentioned alongside Explainable artificial intelligence:
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Deep learning · 3 shared articles -
Transparency · 2 shared articles -
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Xai · 2 shared articles
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Large language model · 2 shared articles
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Neural network · 2 shared articles
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Efficiency · 1 shared articles
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Information retrieval · 1 shared articles
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Medical imaging · 1 shared articles -
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Neural machine translation · 1 shared articles
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Machine learning · 1 shared articles