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Explainable artificial intelligence

XAI refers to methods and techniques in the application of artificial intelligence (AI) such that the results of the solution can be understood by humans. It contrasts with the concept of the "black box" in machine learning where even its designers cannot explain why an AI arrived at a specific decision. XAI may be an implementation of the social right to explanation. XAI is relevant even if there is no legal right or regulatory requirement—for example, XAI can improve the user experience of a product or service by helping end users trust that the AI is making good decisions. This way the aim of XAI is to explain what has been done, what is done right now, what will be done next and unveil the information the actions are based on. These characteristics make it possible (i) to confirm existing knowledge (ii) to challenge existing knowledge and (iii) to generate new assumptions.

Papers

Showing 401–425 of 971 papers

TitleStatusHype
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework—0
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction—0
Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer—0
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network—0
Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings—0
Shapley values for cluster importance: How clusters of the training data affect a prediction—0
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform—0
Explainable Artificial Intelligence (XAI): An Engineering Perspective—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—0
Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems—0
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey—0
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research—0
Explainable artificial intelligence (XAI): from inherent explainability to large language models—0
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis—0
Concept Embedding Analysis: A Review—0
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey—0
Assessing high-order effects in feature importance via predictability decomposition—0
A multi-component framework for the analysis and design of explainable artificial intelligence—0
Causality-Inspired Taxonomy for Explainable Artificial Intelligence—0
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain—0
Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey—0
Explainable Deep Image Classifiers for Skin Lesion Diagnosis—0
Explainable Deep Learning Framework for Human Activity Recognition—0
Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks—0
Explainable artificial intelligence for Healthcare applications using Random Forest Classifier with LIME and SHAP—0
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