The book discusses the challenges and opportunities associated with building trust in AI systems and highlights the importance of transparency, accountability, and ethics in creating trustworthy AI.

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

Jerzy Goluchowski is a Professor and Dean of the Faculty of Informatics and Communication at the University of Economics in Katowice, Poland.

I. TRUST IN ARTIFICIAL INTELLIGENCE TECHNOLOGY 1. Trust in Artificial Intelligence - Future Directions 2. Blockchain Technology, Leadership Competencies and Organizational Change: A Conceptual Exploration and Future Research Agenda 3. Trust in Artificial Intelligence: Ethical Aspects of Using Artificial Intelligence in Organizations 4. Understanding On-Line Trust in The Digital Era 5. Trust in Modern Digital Technologies - an Example of Artificial Intelligence 6. Trust in Computer Simulations in A Context of An Epidemic in A Heterogeneous Population 7. Knowledge-Based Familiarity, Perceived Benefits, Security and Privacy Protection in Relation to Digital Trust and Social Media Engagement 8. The Trust in The Performance of Modern Database Systems: The Issue of Multithreading 9. Credibility of Randomness in Extreme Learning Machine 10. Reasons for Distrust in AI Among Generation Z Polish Doctoral Students 11. Digital Therapists - the Potential and Limitations of Artificial Intelligence 12. Trust and Cooperation with Virtual Assistants II. TRUST IN ARTIFICIAL INTELLIGENCE TECHNOLOGY APPLICATIONS 13. Trust in Artificial Intelligence: The Results of Empirical Research 14. Would you Trust a Chatbot for Healthcare Advice? An Empirical Investigation from Poland 15. Trust in Machine Learning Applied for Analysis of Non-Financial Disclosures 16. Trust in Application of Neural Networks for Long-Run Market Forecasting 17. The Role of Artificial Intelligence in Online Shopping and Trust 18. Generation Z Trust in Modern Technological Solutions in The Last-Mile Logistics. Case Study of Poland 19. Trust in Artificial Intelligence in Agriculture 20. Trust in Public Sector AI: The Case of Finland's Aurora National Programme 21. Trust in Artificial Intelligence in Regional Development 22. The impact of an artificial intelligence on the information asymmetry and the trust of the actors of the insurance market 23. Collaborative Implementation Framework for Building Trust in Software Robots: Case of Posti Group 24. Unpacking the Black Box: Exploring the Intersection of Trust and Machine Learning