Overview

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 12 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 12 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.

Full Product Details

Author:   Joanna Paliszkiewicz (Warsaw University of Life Sciences) ,  Jerzy Gołuchowski
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.793kg
ISBN:  

9781032626321

ISBN 10:   1032626321
Pages:   308
Publication Date:   01 August 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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

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Author Information

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.

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