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Explainable Artificial Intelligence

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

  • Conference proceedings
  • Sep 2024

Overview

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2156)

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Keywords

  • 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
  • Interpreting & explaining Convolutional Neural Networks
  • Interpretable representational learning
  • Model-specific vs model-agnostic methods for XAI
  • Human rights for explanations in AI systems
  • Neuro-symbolic reasoning for XAI

About this book

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.

Editors and Affiliations

  • Technological University Dublin, Dublin, Ireland

    Luca Longo

  • Fraunhofer Institute for Telecommunication, Berlin, Germany

    Sebastian Lapuschkin

  • University of Marburg, Marburg, Germany

    Christin Seifert

Bibliographic Information

  • Book Title: Explainable Artificial Intelligence

  • Book Subtitle: Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part IV

  • Editors: Luca Longo, Sebastian Lapuschkin, Christin Seifert

  • Series Title: Communications in Computer and Information Science

  • Publisher: Springer Cham

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-63802-2Due: 04 August 2024

  • eBook ISBN: 978-3-031-63803-9Due: 24 September 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XXX, 466

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