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Explainable and Transparent AI and Multi-Agent Systems [electronic resource] : 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers / edited by Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling.

Contributor(s): Calvaresi, Davide [editor.] | Najjar, Amro [editor.] | Winikoff, Michael [editor.] | Främling, Kary [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 13283Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: IX, 239 p. 38 illus., 31 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031155659.Subject(s): Multiagent systems | Machine learning | Compilers (Computer programs) | Natural language processing (Computer science) | Computer science | Computers, Special purpose | Multiagent Systems | Machine Learning | Compilers and Interpreters | Natural Language Processing (NLP) | Theory of Computation | Special Purpose and Application-Based SystemsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.30285436 Online resources: Click here to access online
Contents:
Explainable Machine Learning -- Evaluation of importance estimators in deep learning classifiers for Computed Tomography -- Integration of local and global features explanation with global rules extraction and generation tools -- ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning -- Smartphone based grape leaf disease diagnosis and remedial system Assisted with explanations -- Explainable Neuro-Symbolic AI -- Recent Neural-Symbolic Approaches to ILP Based on Templates -- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors -- Explainable Agents -- The Mirror Agent Model: a Bayesian Architecture for Interpretable Agent Behavior -- Semantic Web-based Interoperability for Intelligent Agents with PsyKE -- Case-based reasoning via comparing the strength order of features -- XAI Measures and Metrics -- Explainability Metrics and Properties for Counterfactual Explanation Methods -- The use of partial order relations and measure theory in developing objective measures of explainability -- AI & Law -- An Evaluation of Methodologies for Legal Formalization -- Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation -- Requirements for Tax XAI under Constitutional Principles and Human Rights.
In: Springer Nature eBookSummary: 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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Explainable Machine Learning -- Evaluation of importance estimators in deep learning classifiers for Computed Tomography -- Integration of local and global features explanation with global rules extraction and generation tools -- ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning -- Smartphone based grape leaf disease diagnosis and remedial system Assisted with explanations -- Explainable Neuro-Symbolic AI -- Recent Neural-Symbolic Approaches to ILP Based on Templates -- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors -- Explainable Agents -- The Mirror Agent Model: a Bayesian Architecture for Interpretable Agent Behavior -- Semantic Web-based Interoperability for Intelligent Agents with PsyKE -- Case-based reasoning via comparing the strength order of features -- XAI Measures and Metrics -- Explainability Metrics and Properties for Counterfactual Explanation Methods -- The use of partial order relations and measure theory in developing objective measures of explainability -- AI & Law -- An Evaluation of Methodologies for Legal Formalization -- Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation -- Requirements for Tax XAI under Constitutional Principles and Human Rights.

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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