1st Edition
Trust and Artificial Intelligence Development and Application of AI Technology
Trust and Artificial Intelligence: Development and Application of AI Technology explores the crucial role of trust in the development and application of artificial intelligence (AI) technology. 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. Drawing on the latest research and case studies, the book provides valuable insights and practical strategies for building trust in AI that can be applied by developers, policymakers, and end-users. It is a must-read for anyone interested in the intersection of technology and society and the future of artificial intelligence.
Across its two distinct sections, the book delves deep into both theoretical frameworks and real-world applications. Section I, "Trust in Artificial Intelligence Technology," comprises twelve insightful chapters, each shedding light on different aspects of trust in AI. From ethical considerations and the credibility of AI systems to the intricacies of blockchain technology and digital therapists, the book offers a kaleidoscope of perspectives, showcasing how trust shapes and is shaped by AI advancements. Section II, "Trust in Artificial Intelligence Technology Applications," extends the discourse to practical implications and case studies. With twelve additional chapters, it scrutinizes the impact of AI on diverse sectors such as healthcare, agriculture, the labor market, and online shopping. It contemplates the trust dynamics in neural networks, public sector AI, and the burgeoning field of last-mile logistics.
The book is more than just an academic text; it is a vital conversation starter in the ever-evolving discourse of AI. It challenges us to rethink our relationship with technology, underlining the critical role of trust in harnessing the full potential of AI for a better, more efficient, and ethically sound future.
I. TRUST IN ARTIFICIAL INTELLIGENCE TECHNOLOGY
1. Trust in Artificial Intelligence – Future Directions
Joanna Paliszkiewicz and Jerzy Gołuchowski
2. Blockchain Technology, Leadership Competencies and Organizational Change: A Conceptual Exploration and Future Research Agenda
Samuel Yaw Kusi, Khuram Shahzad and Sorin Dan
3. Trust in Artificial Intelligence: Ethical Aspects of Using Artificial Intelligence in Organizations
Barbara Wyrzykowska, Agnieszka Tul-Krzyszczuk and Tetiana Balanovska
4. Understanding On-Line Trust in The Digital Era
Joanna Rakowska and Marta Barna
5. Trust in Modern Digital Technologies - an Example of Artificial Intelligence
Michał Borowy and Krzysztof Karpio
6. Trust in Computer Simulations in A Context of An Epidemic in A Heterogeneous Population
Marcin Choiński
7. Knowledge-Based Familiarity, Perceived Benefits, Security and Privacy Protection in Relation to Digital Trust and Social Media Engagement
Anna Jasiulewicz, Fatih Çetin, Zygmunt Waśkowski and Marzena Lemanowicz
8. The Trust in The Performance of Modern Database Systems: The Issue of Multithreading
Krzysztof Karpio and Piotr Łukasiewicz
9. Credibility of Randomness in Extreme Learning Machine
Karol Struniawski, Aleksandra Konopka and Ryszard Kozera
10. Reasons for Distrust in AI Among Generation Z Polish Doctoral Students
Aleksandra Popiel, Jerzy Gołuchowski and Andrzej Zaliwski
11. Digital Therapists – the Potential and Limitations of Artificial Intelligence
Agata Berdowska and Katarzyna Zdanowicz-Cyganiak
12. Trust and Cooperation with Virtual Assistants
Katarzyna Łukasiewicz, Eliżbieta Kacperska and Jakub Kraciuk
II TRUST IN ARTIFICIAL INTELLIGENCE TECHNOLOGY APPLICATIONS
13. Trust in Artificial Intelligence: The Results of Empirical Research
Szymon Jarosz and Mariusz Sołtysik
14. Would you Trust a Chatbot for Healthcare Advice? An Empirical Investigation from Poland
Piotr Pietrzak
15. Trust in Machine Learning Applied for Analysis of Non-Financial Disclosures
Tomasz Jastrząb, Monika Wieczorek-Kosmala, Anna Losa-Jonczyk, Marco Papa and Dorota Marquardt
16. Trust in Application of Neural Networks for Long-Run Market Forecasting
Urszula Grzybowska and Marek Karwański
17. The Role of Artificial Intelligence in Online Shopping and Trust
Katarzyna Łukasiewicz, Elżbieta Kacperska and Natalya Horin
18. Generation Z Trust in Modern Technological Solutions in The Last-Mile Logistics. Case Study of Poland
Konrad Michalski and Teresa Gądek-Hawlena
19. Trust in Artificial Intelligence in Agriculture
Henryk Runowski and Paulina Kramarz
20. Trust in Public Sector AI: The Case of Finland’s Aurora National Programme
Sorin Dan, Johanna Kalliokoski and Khuram Shahzad
21. Trust in Artificial Intelligence in Regional Development
Edyta Skarzyńska
22. The impact of an artificial intelligence on the information asymmetry and the trust of the actors of the insurance market
Irena Jędrzejczyk and Wojciech Pizło
23. Collaborative Implementation Framework for Building Trust in Software Robots: Case of Posti Group
Damian Kedziora, Artur Modliński, Kari Smolander, Wojciech Piotrowicz and Rehan Syed
24. Unpacking the Black Box: Exploring the Intersection of Trust and Machine Learning
Caner Asbaş, H. Cenk Sözen and Şule Erdem Tuzlukaya
Biography
Joanna Paliszkiewicz is a Professor and the Director of the Management Institute at the Warsaw University of Life Sciences, Poland.
Jerzy Gołuchowski is a professor and Dean of the Faculty of Informatics and Communication at the University of Economics in Katowice, Poland.
