Building Trust in the Generative Artificial Intelligence Era Technology Challenges and Innovations

PART I: FOUNDATIONS OF TRUST-BUILDING IN THE GENERATIVE ARTIFICIAL INTELLIGENCE ERA

1. Trust Building in the Generative AI – future perspectives and emerging trends

Magdalena Mądra, Jerzy Gołuchowski and Joanna Paliszkiewicz

2. Technological and digital challenges for efficient substitution of creative environment in the era of Generative AI

Rafał Kasprzak and Marta Ziółkowska

3. Navigating ethical dilemmas: unveiling greenwashing in the AI era

Małgorzata Wiktoria Paprocka

4.  Challenges of trust in remote work in the era of Generative AI

Monika Utzig, Aneta Mikuła, Jozefína Hvastová and Magdaléna Freňáková

5.  Generative AI as a driver of trust in innovation

Michał Borowy

6.  Impact of Generative Artificial Intelligence (GAI) on trust and compliance of intelligent automation low-code software

Damian Kedziora and Pawel Kędziora

PART II: FRAMEWORKS FOR TRUST-BUILDING AND EVALUATION

7.  Enhancing cybersecurity: trust dynamics in the age of Generative Artificial Intelligence

Jerzy Gołuchowski, Dorota Marquardt and Joanna Paliszkiewicz

8. An overview of tools and methodologies for assessing trust in relation to generative models AI

Edyta Skarzyńska

9.  Knowledge assessment in the age of Generative AI

Kuanchin Chen

10. Opening the black box: achieving trust through transparency and explainability in Generative AI

Casey Phillips

11. What will we learn from failures and trust Artificial Intelligence applications in organizations?

Hakki Okan Yeloğlu

12.  Generative AI in finance – new challenges across trust-building needs

Magdalena Mądra-Sawicka

PART III: CASE STUDIES AND COMPARATIVE ANALYSES

13.  Perception of ChatGPT by university students in Poland

Piotr Pietrzak

14. The potential of using solutions based on Generative Artificial Intelligence in agriculture in European Union countries

Henryk Runowski and Paulina Kramarz

15. Trust in Artificial Intelligence - generational differences

Katarzyna Łukasiewicz, Elżbieta Kacperska and Jakub Kraciuk

16. Trust and integration: AI adoption and socio-technical systems

Anezka Viskova-Robertson

17. The impact of awareness and risk-benefit perceptions on attitudes towards AI adoption in higher education

Fatih Çetin, H. Nejat Basım and Joanna Paliszkiewicz

18.  The limits of intuition in Artificial Intelligence

Edyta Skarzyńska, Jay Liebowitz, Giovanni Miragliotta and Joanna Paliszkiewicz

19. To trust or not to trust: Is Generative Artificial Intelligence taking sides in higher education research?

Cezar Scarlat and Alexandra Ioanid

20.  To trust or not to trust Generative AI-supported academic scientific research publications as a matter of trust and ethics

Cezar Scarlat and Alexandru-Ionuţ Petrişor

21. Generative AI use among non-financial companies – trust perspective

Magdalena Mądra-Sawicka and Marzena Ganc

Biography

Joanna Paliszkiewicz works as a Full Professor at the Warsaw University of Life Sciences (WULS—SGGW). She is the Director of the Management Institute. She also works for University of Economics Ho Chi Minh City (UEH), Vietnam. She is also an Adjunct Professor at the University of Vaasa in Finland. She obtained academic title “Full Professor” from the International School for Social and Business Studies in Slovenia. She is well recognized in Poland and abroad for her expertise in management issues: knowledge management and trust management. She has published over 220 papers/manuscripts and is the author/co‑author/editor of 21 books.

Jerzy Gołuchowski is a Full Professor at the University of Economics in Katowice. He has served as a Vice‑Rector (2005–2009) and Dean (2009–2019; 2020–now) of the Faculty of Informatics and Communications and he is the Head of the Department of Communication Design and Analysis (since 2017)

Magdalena Mądra-Sawicka is an Assistant Professor at Warsaw University of Life Sciences (WULS) in the Institute of Economics and Finance. She obtained PhD degree in 2010 and started working at SGGW WULS in 2010 at the Department of Economics and Organization of Enterprises and later in the Department of Finance at the Faculty of Economic Sciences.

Kuanchin Chen is Professor of Computer Information Systems, Director of the Center for Business Analytics, and John W. Snyder Fellow at Western Michigan University. He has more than 25 years of research, teaching, and consulting experience.