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 Dąbrowski, 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.

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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 Dąbrowski, 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.

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Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations

Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations

Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations

Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations

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Overview

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 Dąbrowski, 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.


Product Details

ISBN-13: 9781032957944
Publisher: Taylor & Francis
Publication date: 03/30/2025
Series: Routledge Studies in Trust Research
Pages: 226
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Joanna Paliszkiewicz is a Professor and the Director at the Management Institute of the Warsaw University of Life Sciences, Poland.

Ireneusz Dąbrowski is an Associate Professor in the Department of Applied Economics and the Head of the Monetary Policy Unit at the SGH Warsaw School of Economics, Poland.

Leila Halawi is an Associate Professor and Research Coordinator at the College of Aviation in the Department of Graduate Studies at Worldwide Campus, Embry Riddle Aeronautical University, USA.

Table of Contents

Part I: Foundations of Trust in Generative AI1. Risks, failures, and ethical dilemmas of AI technologies and trust - Edyta Skarzyńska, Joanna Paliszkiewicz, Ireneusz Dąbrowski and Marta Mendel; 2. Trust in generative artificial intelligence: A systematic literature review - Xuan Tai Mai and Trang Nguyen; 3. Trust in content published on social media - Agnieszka Werenowska and Ewa Jaska; 4. Unlocking Artificial Intelligence for All: Navigating the Complexities of the Artificial Intelligence Digital Divide - Mirjana Pejić-Bach and Josip Marić; Part II: Human-Robot Interaction, Ethical Considerations and Trust; 5. Trust in the context of psychological and managerial determinants of Human-Robot-Interaction - Joanna M. Moczydłowska, Agnieszka Tul-Krzyszczuk and Urszula Widelska; 6. Human-Robot-Interaction - ethical and communicative determinants of trust - Urszula Widelska, Joanna M. Moczydłowska and Agnieszka Tul-Krzyszczuk; 7. Trust of Journalists in Collaborating with AI: Ethical Background of Working with Generative Artificial Intelligence - Anna Musialik-Chmiel, Jerzy Gołuchowski and Agata Berdowska; 8. Psychological Factors Affecting Swift Trust in AI: A Comparison of Poland and Turkey - Fatih Çetin, Anna Jasiulewicz, Selay Ilgaz Sümer and Joanna Paliszkiewicz; Part III: Trust in Specific Contexts and Applications; 9. Trust in Generative AI as Seen by Gen Z in Albania, Poland, and Serbia - Iwona Pomianek, Etleva Muça and Vesna Paraušić; 10. Cultivating Confidence: The Intersection of Artificial Intelligence and Trust in Commercial Aviation - Leila Halawi, Mark Miller and Sam Holley; 11.  Trust-based Brand Equity and Generative AI - Hanna Górska-Warsewicz; 12. Healing and Harmful Powers of Data: Trust in Generative AI within Healthcare - Angelica Marotta; 13.  The use of generative AI in the enterprise – from uncertainty to trust - Wojciech Pizło; 14. The Role of Building Consumer Experience in E-health Services - Anna Dąbrowska, Irena Ozimek and Liudmyla Shulhina; 15.  Trust and Transparency as Facilitators of GenAI-Driven Transformation of Businesses: Knowledge Management Perspective - Alicja Fandrejewska. 

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