Explainable Artificial Intelligence

Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III

Häftad, Engelska, 2024

Av Luca Longo, Sebastian Lapuschkin, Christin Seifert

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This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024.

Produktinformation

Utgivningsdatum2024-07-10
Mått155 x 235 x 26 mm
Vikt715 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor456
FörlagSpringer International Publishing AG
ISBN9783031637995

Tillhör följande kategorier

Hårdvara inom Data och it
Tillämpad datateknik inom Data och it
Artificiell intelligens inom Data och it
Systemvetenskap och AI inom Data och it

.- Counterfactual explanations and causality for eXplainable AI..- Sub-SpaCE: Subsequence-based Sparse Counterfactual Explanations for Time Series Classification Problems..- Human-in-the-loop Personalized Counterfactual Recourse..- COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images..- Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence..- CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests..- Causality-Aware Local Interpretable Model-Agnostic Explanations..- Evaluating the Faithfulness of Causality in Saliency-based Explanations of Deep Learning Models for Temporal Colour Constancy..- CAGE: Causality-Aware Shapley Value for Global Explanations..- Fairness, trust, privacy, security, accountability and actionability in eXplainable AI..- Exploring the Reliability of SHAP Values in Reinforcement Learning..- Categorical Foundation of Explainable AI: A Unifying Theory..- Investigating Calibrated Classification Scores through the Lens of Interpretability..- XentricAI: A Gesture Sensing Calibration Approach through Explainable and User-Centric AI..- Toward Understanding the Disagreement Problem in Neural Network Feature Attribution..- ConformaSight: Conformal Prediction-Based Global and Model-Agnostic Explainability Framework..- Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability..- Blockchain for Ethical & Transparent Generative AI Utilization by Banking & Finance Lawyers..- Multi-modal Machine learning model for Interpretable Mobile Malware Classification..- Explainable Fraud Detection with Deep Symbolic Classification..- Better Luck Next Time: About Robust Recourse in Binary Allocation Problems..- Towards Non-Adversarial Algorithmic Recourse..- Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring..- XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users.