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Artificial intelligence (AI) plays a crucial role in production engineering and management, revolutionizing operation optimization, data analysis, forecasting, and task automation. In production engineering, AI contributes to operational efficiency by identifying patterns, predicting failures, and optimizing supply chains. In management, it offers predictive and prescriptive insights, allowing quick adaptations to changes in market conditions. However, it is essential to address ethical challenges, such as data security and workforce impacts, to ensure responsible and sustainable implementation of AI in these contexts. Among the different topics covered in Artificial Intelligence in Production Engineering and Management, the reader can find, among others, living under AI; machine learning and large language models; AI and people management; nudging financial behavior in AI; the European Union narrative on AI; multidimensional transhuman influence; and AI, emotional intelligence, and ethics. This topical book will be of great value for those working and researching in the production engineering and management fields who are seeking to understand and capitalize on the revolutionary wave that artificial intelligence brings to modern engineering and management.
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Carolina Machado is an Associate Professor with Habilitation at the University of Minho, Portugal. She has lectured and researched in human resource management subjects since 1989. She is Head of the Human Resource Management Work Group at the University of Minho, as well as Coordinator of Advanced Training Courses at the Interdisciplinary Centre of Social Sciences, and Member of CICS.NOVA.UMinho.Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.
