Explainable Artificial Intelligence

Beschreibung

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. 

The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on:

Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI.

Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI.

Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI.

Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.

Autor*in

Luca Longo

Themen in »Explainable Artificial Intelligence«

artificial intelligence interpretable machine learning causal inference & explanations argumentative-based approaches for explanations decomposition of neural network-based models for XAI convolutional Neural Networks natural language processing for explanations reinforcement learning for enhancing XAI explainability neural networks explainable Artificial Intelligence Ante-hoc approaches for interpretability Auto-encoders & explainability of latent spaces Case-based explanations for AI systems Graph neural networks for explainability

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