Artificial Intelligence Management And Trust
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Artificial Intelligence, Management and Trust
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.
Artificial Intelligence in Society
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Artificial Intelligence in Records and Information Management
As trending and general technology of the day, artificial intelligence (AI) has permeated every facet of life such as medicine, commerce, health as well as media. The records management domain is no exception. Records and information management benefit from AI by being relieved of many tedious processes that are may be easily subjected to manual oversight. Thus, through AI, compliance, security, and efficiency in records management can be greatly enhanced. Artificial Intelligence in Records and Information Management outlines and assesses the role and contribution of AI in the records and information management domain. It establishes how records and information management can benefit from the application of artificial intelligence inclusive of all its sub-technologies. Covering topics such as archival software, data governance, and academic scholarship, this book is an excellent resource for records officers, records managers, information professionals, archivists, documentalists, information and communication technology (ICT) professionals, heritage managers, museologists, historians, archaeologists, media professionals, professionals, researchers, scholars, academicians, and more.