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Explainable and Transparent AI and Multi-Agent Systems

4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9–10, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Davide Calvaresi

    1. University of Applied Sciences and Arts of Western Switzerland, Sierre, Switzerland

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  2. Amro Najjar

    1. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

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    You can also search for this editor in PubMed   Google Scholar

  3. Michael Winikoff

    1. Victoria University of Wellington, Wellington, New Zealand

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  4. Kary Främling

    1. Umeå University, Umeå, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13283)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: EXTRAAMAS 2022.

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About this book

This book constitutes the refereed proceedings of the 4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022, held virtually during May 9–10, 2022. 


The 14 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: explainable machine learning; explainable neuro-symbolic AI; explainable agents; XAI measures and metrics; and AI & law. 


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Table of contents (14 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Explainable Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography

      • Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis Papadimitroulas, Mathieu Hatt et al.
      Pages 3-18

    3. Integration of Local and Global Features Explanation with Global Rules Extraction and Generation Tools

      • Victor Contreras, Michael Schumacher, Davide Calvaresi
      Pages 19-37

    4. ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning

      • Jasmina Gajcin, Ivana Dusparic
      Pages 38-56

    5. Smartphone Based Grape Leaf Disease Diagnosis and Remedial System Assisted with Explanations

      • Avleen Malhi, Vlad Apopei, Manik Madhikermi, Mandeep, Kary Främling
      Pages 57-71

  3. Explainable Neuro-Symbolic AI

    1. Front Matter

      Pages 73-73
      Download chapter PDF

    2. Recent Neural-Symbolic Approaches to ILP Based on Templates

      • Davide Beretta, Stefania Monica, Federico Bergenti
      Pages 75-89

    3. On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors

      • Matteo Magnini, Giovanni Ciatto, Andrea Omicini
      Pages 90-108

  4. Explainable Agents

    1. Front Matter

      Pages 109-109
      Download chapter PDF

    2. The Mirror Agent Model: A Bayesian Architecture for Interpretable Agent Behavior

      • Michele Persiani, Thomas Hellström
      Pages 111-123

    3. Semantic Web-Based Interoperability for Intelligent Agents with PSyKE

      • Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
      Pages 124-142

    4. Case-Based Reasoning via Comparing the Strength Order of Features

      • Liuwen Yu, Dov Gabbay
      Pages 143-151

  5. XAI Measures and Metrics

    1. Front Matter

      Pages 153-153
      Download chapter PDF

    2. Explainability Metrics and Properties for Counterfactual Explanation Methods

      • Vandita Singh, Kristijonas Cyras, Rafia Inam
      Pages 155-172

    3. The Use of Partial Order Relations and Measure Theory in Developing Objective Measures of Explainability

      • Wim De Mulder
      Pages 173-186

  6. AI and Law

    1. Front Matter

      Pages 187-187
      Download chapter PDF

    2. An Evaluation of Methodologies for Legal Formalization

      • Tereza Novotná, Tomer Libal
      Pages 189-203

    3. Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation

      • Rachele Carli, Amro Najjar, Davide Calvaresi
      Pages 204-220

    4. Requirements for Tax XAI Under Constitutional Principles and Human Rights

      • Blazej Kuzniacki, Marco Almada, Kamil Tyliński, Łukasz Górski
      Pages 221-238
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Other volumes

  1. Explainable and Transparent AI and Multi-Agent Systems

Editors and Affiliations

  • University of Applied Sciences and Arts of Western Switzerland, Sierre, Switzerland

    Davide Calvaresi

  • Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Amro Najjar

  • Victoria University of Wellington, Wellington, New Zealand

    Michael Winikoff

  • Umeå University, Umeå, Sweden

    Kary Främling

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