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Etat : New.

Etat : As New. Unread book in perfect condition.

paperback. Etat : Very Good.

Etat : New.

Paperback. Etat : new. Paperback. This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during May 19-20, 2025.The 12 full papers and 1 short paper included in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: AI interpretation & social dimensions; LLMs & generative AI in XAI; agent architectures & inter-agent explainability; and human-XAI interaction, quality & ethics. This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during May 19-20, 2025.The 12 full papers and 1 short paper included in this book were carefully reviewed and selected from 23 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardback. Etat : New. This open access book introduces social aspects relevant to research and developments of explainable AI (XAI). The new surge of XAI responds to the societal challenge that many algorithmic approaches (such as machine learning or autonomous intelligent systems) are rapidly increasing in complexity, making justified use of their recommendations difficult for the users. A large body of approaches now exists with many ideas of how algorithms should be explainable or even be able to explain their output. However, few of them consider the users' perspective, and even less address the social aspects of using XAI. To fill the gap, the book offers a conceptualization of explainability as a social practice, a framework for contextual factors, and an operationalization of users' involvement in creating relevant explanations.For this, scholars across disciplines gathered at the Shonan meeting to account for how explanation generation can be tailored to diverse users and their heterogeneous goals when interacting with XAI. As a result, social interaction is the key to the involvement of the users. Accordingly, we define sXAI (social eXplainable AI) as systems that interact with the users in such a way that an incremental adaptation of explaining to the users is possible, along with the unfolding context of interaction, to yield a relevant explanation at the interface with both active partners-human and AI. To encourage novel interdisciplinary research, we propose to account for the following dimensions.    Patterndness: XAI should account for different contexts that yield different social roles impacting the construction of explanations.    Incrementality: XAI should build on the contribution of the involved partners who adapt to each other.    Multimodality: XAI needs to use different communication modalities (e.g., visual, verbal, and auditory).This book also addresses how to evaluate social XAI systems and what ethical aspects must be considered when employing sXAI. Together, the book pushes forward the building of a community interested in sXAI. To increase the readability across disciplines, each chapter offers a rapid access to its content.…

Etat : New.

Etat : New.

Etat : New.

Paperback. Etat : Brand New. 254 pages. 9.25x6.10x9.25 inches. In Stock.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : new. Paperback. 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 610, 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 150.