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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

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Showing 701–750 of 971 papers

TitleStatusHype
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness—0
Am I Building a White Box Agent or Interpreting a Black Box Agent?—0
A multi-component framework for the analysis and design of explainable artificial intelligence—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment—0
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification—0
An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents—0
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model—0
A New Deep Learning and XAI-Based Algorithm for Features Selection in Genomics—0
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)—0
An Experimentation Platform for Explainable Coalition Situational Understanding—0
An Explainable AI Framework for Artificial Intelligence of Medical Things—0
An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery—0
An Explainable Fast Deep Neural Network for Emotion Recognition—0
An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival—0
A Novel Approach for Semiconductor Etching Process with Inductive Biases—0
A Novel Explainable Artificial Intelligence Model in Image Classification problem—0
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model—0
Anytime Approximate Formal Feature Attribution—0
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts—0
Applications of Explainable artificial intelligence in Earth system science—0
Applying XAI based unsupervised knowledge discovering for Operation modes in a WWTP. A real case: AQUAVALL WWTP—0
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing—0
Approximating the Shapley Value without Marginal Contributions—0
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications—0
A Psychological Theory of Explainability—0
Are Large Language Models the New Interface for Data Pipelines?—0
Are Linear Regression Models White Box and Interpretable?—0
A Review of Explainable Artificial Intelligence in Manufacturing—0
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?—0
Argumentation-based Agents that Explain their Decisions—0
Argumentation Theoretical Frameworks for Explainable Artificial Intelligence—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
aSAGA: Automatic Sleep Analysis with Gray Areas—0
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations—0
Assessing high-order effects in feature importance via predictability decomposition—0
Asset Pricing and Deep Learning—0
A Survey of Accessible Explainable Artificial Intelligence Research—0
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering—0
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting—0
A Survey of Explainable Knowledge Tracing—0
A survey on Concept-based Approaches For Model Improvement—0
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI—0
A Survey on Explainable Artificial Intelligence for Cybersecurity—0
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks—0
A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare—0
A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence—0
A Theoretical Framework for AI Models Explainability with Application in Biomedicine—0
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