Trust in generative Artificial Intelligence: human-robot interaction and ethical considerations

Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI. Edited by Joanna Paliszkiewicz, Ireneusz Dabrowski, and Leila Halawi, this book provides a thorough examin...

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Bibliographic Details
Other Authors: Paliszkiewicz, Joanna (Editor), Dąbrowski, Ireneusz (Editor), Halawi, Leila (Editor)
Format: Electronic eBook
Language:English
Published: New York ; London Routledge 2025
Series:Routledge studies in trust research
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Online Access:DE-824
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Summary:Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI. Edited by Joanna Paliszkiewicz, Ireneusz Dabrowski, and Leila Halawi, this book provides a thorough examination of how trust influences the integration and effectiveness of generative AI in various aspects of society. The book spans three main sections, offering insights from international experts across multiple disciplines and a blend of theoretical foundations and practical insights, making it a valuable resource for both understanding and implementing trust in AI systems. Readers will benefit from in-depth analyses of emerging trends, systematic literature reviews, and case studies on trust in diverse contexts, from social media to healthcare. The focus on human-robot interaction and ethical considerations provides a nuanced understanding of the psychological and ethical factors at play. Aimed at researchers, practitioners, and policymakers interested in AI, ethics, and human-robot interaction, this edited collection is also suitable for educators and students in fields related to AI and technology, providing a comprehensive resource for academic study and practical application
Physical Description:1 Online-Ressource (xxxiv, 192 Seiten) Illustrationen
ISBN:9781003586937
DOI:10.4324/9781003586937

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