SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 of 971 papers

TitleStatusHype
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal—0
Widespread Increases in Future Wildfire Risk to Global Forest Carbon Offset Projects Revealed by Explainable AI—0
XAI and Android Malware Models—0
XAI Benchmark for Visual Explanation—0
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics—0
XAI for All: Can Large Language Models Simplify Explainable AI?—0
XAI-FUNGI: Dataset resulting from the user study on comprehensibility of explainable AI algorithms—0
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing—0
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models—0
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts—0
XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs—0
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization—0
X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration—0
XEQ Scale for Evaluating XAI Experience Quality—0
XRand: Differentially Private Defense against Explanation-Guided Attacks—0
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life—0
You can monitor your hydration level using your smartphone camera—0
Most General Explanations of Tree Ensembles (Extended Version)—0
Recent Advances in Medical Image Classification—0
A Brief Review of Explainable Artificial Intelligence in Healthcare—0
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence—0
Achieving Diversity in Counterfactual Explanations: a Review and Discussion—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
AcME-AD: Accelerated Model Explanations for Anomaly Detection—0
A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI—0
Show:102550
← PrevPage 27 of 39Next →

No leaderboard results yet.