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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 51–100 of 971 papers

TitleStatusHype
Entropy-based Logic Explanations of Neural NetworksCode1
Using Slisemap to interpret physical dataCode1
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological AttributesCode1
Focus! Rating XAI Methods and Finding BiasesCode1
Finding Alignments Between Interpretable Causal Variables and Distributed Neural RepresentationsCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
An Ensemble Framework for Explainable Geospatial Machine Learning ModelsCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
Explainable AI for Bioinformatics: Methods, Tools, and ApplicationsCode1
Axiomatic Attribution for Deep NetworksCode1
A Fresh Look at Sanity Checks for Saliency MapsCode1
Explainable AI Components for Narrative Map ExtractionCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local ExplanationsCode1
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy SensorsCode1
Automatic Extraction of Linguistic Description from Fuzzy Rule BaseCode1
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial IntelligenceCode1
Explaining Black-Box Models through CounterfactualsCode1
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature AttributionCode1
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI MethodsCode1
From Attribution Maps to Human-Understandable Explanations through Concept Relevance PropagationCode1
Calibrated Explanations for RegressionCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
Proposed Guidelines for the Responsible Use of Explainable Machine LearningCode1
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple BenchmarkCode1
Landscape of R packages for eXplainable Artificial IntelligenceCode1
Collision Probability Distribution Estimation via Temporal Difference LearningCode1
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept AlignmentCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
In-Context Explainers: Harnessing LLMs for Explaining Black Box ModelsCode1
Logic Explained NetworksCode1
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on UncertaintyCode1
Counterfactual Shapley Additive ExplanationsCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Towards Better Understanding Attribution MethodsCode1
SCOUTER: Slot Attention-based Classifier for Explainable Image RecognitionCode1
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?Code0
An Experimental Investigation into the Evaluation of Explainability MethodsCode0
A comprehensive study on fidelity metrics for XAICode0
Explainability of Machine Learning Models under Missing DataCode0
Explainability in Music Recommender SystemsCode0
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryCode0
Evaluating saliency methods on artificial data with different background typesCode0
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in SenegalCode0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
Ensemble of Counterfactual ExplainersCode0
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