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XAITK : The explainable AI toolkit
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
inferredcites →https://doi.org/10.1038/s42256-019-0048-xopenalex-snapshot
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1109/access.2018.2870052openalex-snapshot
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01128openalex-snapshot
Black-box Explanation of Object Detectors via Saliency Maps
inferredcites →https://doi.org/10.1109/iccv.2017.371openalex-snapshot
Interpretable Explanations of Black Boxes by Meaningful Perturbation
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/iros.2018.8593649openalex-snapshot
Establishing Appropriate Trust via Critical States
inferredcites →https://doi.org/10.1109/tpami.2020.3020738openalex-snapshot
Building and Interpreting Deep Similarity Models
inferredcites →https://doi.org/10.1109/wacv.2019.00220openalex-snapshot
Visualizing Deep Similarity Networks
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093461openalex-snapshot
Adapting Grad-CAM for Embedding Networks
inferredcites →https://doi.org/10.1145/3278721.3278776openalex-snapshot
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
inferredcites →https://doi.org/10.1609/aimag.v40i2.2850openalex-snapshot
DARPA's Explainable Artificial Intelligence Program
inferredcites →https://doi.org/10.18653/v1/n16-3020openalex-snapshot
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
inferredcites →https://doi.org/10.48550/arxiv.1702.08608openalex-snapshot
Towards A Rigorous Science of Interpretable Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1708.08296openalex-snapshot
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
inferredcites →https://doi.org/10.48550/arxiv.1712.09923openalex-snapshot
What do we need to build explainable AI systems for the medical domain?
inferredcites →https://doi.org/10.48550/arxiv.1809.08343openalex-snapshot
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
inferredcites →https://doi.org/10.48550/arxiv.1909.03012openalex-snapshot
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
inferredcites →https://doi.org/10.48550/arxiv.1912.05743openalex-snapshot
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2006.00093openalex-snapshot
Explainable Artificial Intelligence: a Systematic Review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ail2.61openalex-snapshot
DARPA 's explainable AI ( XAI ) program: A retrospective
inferred← citeshttps://doi.org/10.1002/smr.70018openalex-snapshot
Explainable AI Framework for Software Defect Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-21435-6_23openalex-snapshot
Prediction of the Failure of a Business Process Event Using Event Log and Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-43789-2_36openalex-snapshot
Explanatory Capabilities of an Ontology-Based Solver with Linguistic and Visual Support
inferred← citeshttps://doi.org/10.1007/978-3-031-53552-9_20openalex-snapshot
Paraphrasing in the System of Automatic Solution of Planimetric Problems
inferred← citeshttps://doi.org/10.1007/978-3-031-76806-4_27openalex-snapshot
Enhanced User Interaction in Mobility Decision Support Using Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-032-00715-5_15openalex-snapshot
A Cognitive Approach to Synthesizing AI Capabilities
inferred← citeshttps://doi.org/10.1007/978-981-92-2891-1_8openalex-snapshot
From Black-Box to Glass-Box: Explainable AI for Applied Intelligent Software Systems Across the Software Development Life Cycle
inferred← citeshttps://doi.org/10.1007/s40572-025-00514-6openalex-snapshot
Navigating the AI Frontier in Toxicology: Trends, Trust, and Transformation
inferred← citeshttps://doi.org/10.1007/s42044-024-00223-7openalex-snapshot
Age-based disease prediction and health monitoring: integrating explainable AI and deep learning techniques
inferred← citeshttps://doi.org/10.1016/j.egyr.2025.08.046openalex-snapshot
Applications of explainable artificial intelligence in renewable energy research
inferred← citeshttps://doi.org/10.1080/00098655.2024.2393153openalex-snapshot
Through a Teacher’s Lens: Combating Bias in AI-Powered Education for a Just Future
inferred← citeshttps://doi.org/10.1080/17439884.2023.2185630openalex-snapshot
The possibilities and limits of explicable artificial intelligence (XAI) in education: a socio-technical perspective
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00322openalex-snapshot
Doppelgänger Saliency: Towards More Ethical Person Re-Identification
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981135openalex-snapshot
BOBCAT: Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks
inferred← citeshttps://doi.org/10.1145/3637348openalex-snapshot
"If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural India
inferred← citeshttps://doi.org/10.1145/3643834.3661576openalex-snapshot
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
inferred← citeshttps://doi.org/10.1145/3664476.3670905openalex-snapshot
Introducing a Multi-Perspective xAI Tool for Better Model Explainability
inferred← citeshttps://doi.org/10.1145/3711061openalex-snapshot
Secret Use of Large Language Model (LLM)
inferred← citeshttps://doi.org/10.1145/3746252.3761486openalex-snapshot
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
inferred← citeshttps://doi.org/10.1145/3769678openalex-snapshot
Designing, Implementing, and Evaluating AI Explanations: A Scoping Review of Explainable AI Frameworks
inferred← citeshttps://doi.org/10.1145/3820897openalex-snapshot
XEQ scale for evaluating XAI experience quality.
inferred← citeshttps://doi.org/10.15622/rcai.2025.019openalex-snapshot
ДОГАДКА, ЭМПИРИЧЕСКАЯ ПРОВЕРКА И ОБЪЯСНЕНИЕ ПРИ ВТОМАТИЗИРОВАННОМ РЕШЕНИИ ЗАДАЧ
inferred← citeshttps://doi.org/10.17860/mersinefd.1909155openalex-snapshot
Öğretmen Adaylarının Eğitimde Yapay Zekâ Kullanımına Yönelik Hazırbulunuşluk Düzeylerinin İncelenmesi
inferred← citeshttps://doi.org/10.3390/electronics13061025openalex-snapshot
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI
inferred← citeshttps://doi.org/10.3390/make5010006openalex-snapshot
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
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