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Explainable and transparent AI and multi-agent systems6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Explainable and transparent AI and multi-agent systemsedited by Davide Calvaresi ... [et al.].
Reminder of title:	6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /
remainder title:	EXTRAAMAS 2024
other author:	Calvaresi, Davide.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	x, 243 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Intelligent agents (Computer software)
Online resource:	https://doi.org/10.1007/978-3-031-70074-3
ISBN:	9783031700743$q(electronic bk.)

Explainable and transparent AI and multi-agent systems6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /
Explainable and transparent AI and multi-agent systems6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /[electronic resource] :EXTRAAMAS 2024edited by Davide Calvaresi ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 243 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,148470302-9743 ;. - Lecture notes in computer science,2807..

User-centric XAI. -- Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problem. -- Evaluation of the User-centric Explanation Strategies for Interactive Recommenders. -- Can Interpretability Layouts Influence Human Perception of Offensive Sentences?. -- A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study. -- XAI and Reinforcement Learning. -- Learning Temporal Task Specifications From Demonstrations. -- Temporal Explanations for Deep Reinforcement Learning Agents. -- An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-side Uncertainties. -- Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models. -- Neuro-symbolic AI and Explainable Machine Learning. -- Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models. -- py ciu image: a Python library for Explaining Image Classification with Contextual Importance and Utility. -- Towards interactive and social explainable artificial intelligence for digital history. -- XAI & Ethics. -- Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China. -- The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy.

This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2024, in Auckland, New Zealand, during May 6-10, 2024. The 13 full papers presented in this book were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: User-centric XAI; XAI and Reinforcement Learning; Neuro-symbolic AI and Explainable Machine Learning; and XAI & Ethics.

ISBN: 9783031700743$q(electronic bk.)

Standard No.: 10.1007/978-3-031-70074-3doiSubjects--Topical Terms:

200777
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58 / E96 2024

Dewey Class. No.: 006.30285436

Explainable and transparent AI and multi-agent systems6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /
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