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Artificial Intelligence, Management and Trust

Englisch · Fester Einband

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Beschreibung

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The main challenge related to the development of artificial intelligence (AI) is to establish harmonious human-AI relations, necessary for the proper use of its potential. AI will eventually transform many businesses and industries; its pace of development is influenced by the lack of trust on the part of society. AI autonomous decision-making is still in its infancy, but use cases are evolving at an ever-faster pace. Over time, AI will be responsible for making more decisions, and those decisions will be of greater importance.
The monograph aims to comprehensively describe AI technology in three aspects: organizational, psychological, and technological in the context of the increasingly bold use of this technology in management. Recognizing the differences between trust in people and AI agents and identifying the key psychological factors that determine the development of trust in AI is crucial for the development of modern Industry 4.0 organizations. So far, little is known about trust in human-AI relationships and almost nothing about the psychological mechanisms involved. The monograph will contribute to a better understanding of how trust is built between people and AI agents, what makes AI agents trustworthy, and how their morality is assessed. It will therefore be of interest to researchers, academics, practitioners, and advanced students with an interest in trust research, management of technology and innovation, and organizational management.

Inhaltsverzeichnis

Introduction   Chapter 1. Trust: A new approach to management   Chapter 2. Artificial intelligence and robotization: A new approach to trust?   Chapter 3. Trust: Organizational aspect   Chapter 4. Trust: The psychological aspect   Chapter 5. Neural underpinnings of trust   Chapter 6. Trust: The technological aspect   Chapter 7. The role of trust in human-machine interaction: Cognitive science perspective   Chapter 8. Robot Ethics and Artificial Morality   Chapter 9. The importance of trust in the process of generating innovation   Chapter 10. Artificial intelligence as a factor in reducing transaction costs in the virtual space   Chapter 11. Trust in robots: The experience of the young generation

Über den Autor / die Autorin

Mariusz Sołtysik is a university professor at UEK, College of Management and Quality Sciences at the University of Economics in Krakow. He is also vice-chairman of the Małopolska Regional Group of the International Project Management Association.
Magda Gawłowska is a psychologist and researcher from the Institute of Applied Psychology of the Jagiellonian University. She is mainly interested in the neural basis of cognitive and emotional processes, especially the functioning of the system for detecting erroneous reactions.
Bartlomiej Sniezymski is a university professor at AGH University of Krakow; Faculty of Computer Science, Electronics and Telecommunications; Institute of Computer Science.
Artur Gunia is a philosopher, computer scientist, cognitive scientist, and assistant professor at the Department of Cognitive Science at Jagiellonian University. His research interests include cognitive enhancement with the use of augmented and mixed reality technologies and their impact on cognitive processes, transhumanist philosophy, and especially the issues of morphological freedom and cyborgization.

Zusammenfassung

The main challenge related to the development of artificial intelligence (AI) is to establish harmonious human-AI relations, necessary for the proper use of its potential. AI will eventually transform many businesses and industries; its pace of development is influenced by the lack of trust on the part of society. AI autonomous decision-making is still in its infancy, but use cases are evolving at an ever-faster pace. Over time, AI will be responsible for making more decisions, and those decisions will be of greater importance.
The monograph aims to comprehensively describe AI technology in three aspects: organizational, psychological, and technological in the context of the increasingly bold use of this technology in management. Recognizing the differences between trust in people and AI agents and identifying the key psychological factors that determine the development of trust in AI is crucial for the development of modern Industry 4.0 organizations. So far, little is known about trust in human-AI relationships and almost nothing about the psychological mechanisms involved. The monograph will contribute to a better understanding of how trust is built between people and AI agents, what makes AI agents trustworthy, and how their morality is assessed. It will therefore be of interest to researchers, academics, practitioners, and advanced students with an interest in trust research, management of technology and innovation, and organizational management.

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