Artificial Intelligence, Management and Trust

Regular price €192.20
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
AI System
AI Technology
Anterior Insula
Artificial Intelligence
asymmetry of information
behavioural uncertainty
bounded rationality
Business Processes
Category=KJMV2
Category=KJMV6
Category=KJS
Category=KJU
Category=UYQ
Central Executive Network
CFI Index
Cognitive Science
cognitive trust mechanisms
Deep Neural Networks
DMN
Dorsal Anterior Cingulate Cortex
Dorsolateral Prefrontal Cortex
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ethical AI systems
Fourth Industrial Revolution
human machine interaction
Human Robot Interaction
Human-Computer Interaction
Humanoid Robot
innovation management strategies
interorganizational relations
Machine Ethics
neural basis of trust
Neural Underpinnings
Online Group Buying
opportunism
organizational psychology
Perceived Relationship Investment
psychological factors in AI adoption
Robot Ethics
Salience Network
Social Robotics
Social Robots
stakeholders
transaction costs
Trust
Trust Behavior
Ventral Tegmentum Area
Vice Versa
Violated

Product details

  • ISBN 9781032317939
  • Weight: 480g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Sep 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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.

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.