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

List of Tables

List of tables

List of figures

Editors

List of contributors

Forewords

Forewords

Preface

Part I: Foundations of trust in generative AI

1. 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

Index

Biography

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.

 “Trust in Generative Artificial Intelligence: Human-Robot Interaction and Ethical Considerations offers a comprehensive and insightful exploration into one of the most critical aspects of AI integration today. By blending multidisciplinary perspectives with practical applications, this book serves as an essential resource for researchers, practitioners, and policymakers alike, seeking to navigate the complex landscape of AI trust and ethics.” Francesco Paolo Appio, Paris School of Business, France.

“The development of generative artificial intelligence products like ChatGPT, Copilot, and Midjourney gives the impression that we are on the verge of achieving general artificial intelligence—a concept previously confined to science fiction. These powerful tools are transforming our society, instilling both great hopes and significant fears. How can we trust generative AI? The answer lies in this book.” Artur Gunia, Jagiellonian University, Poland.