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: living in the age of AI; machine learning and large language models; AI and people management; nudging financial behavior with 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 shift that artificial intelligence brings to modern engineering and management.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. ix 7. About the editors - p. xi 8. Preface - p. xiii 9. Chapter One. Living in the age of artificial intelligence: advancement or fate? - p. 1 10. Chapter Two. Using machine learning and large language models to improve the product development process - p. 29 11. Chapter Three. Artificial intelligence and people management in the 21st century - p. 41 12. Chapter Four. Benefits and drawbacks of artificial intelligence in human resource management: between utopian and dystopian visions - p. 65 13. Chapter Five. A challenge for the implementation of artificial intelligence in rural areas. Digital coverage and performance of intellectual capital of firms - p. 83 14. Chapter Six. Nudging financial behavior in the age of artificial intelligence - p. 115 15. Chapter Seven. The European Union narrative on artificial intelligence: the path to international leadership - p. 145 16. Chapter Eight. Back to the future: multidimensional transhuman influence on creativity and innovation - p. 193 17. Chapter nine. Artificial intelligence, yes! But what about the human side? The relevance of emotional intelligence and ethics - p. 207 18. Index - p. 229
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: living in the age of AI; machine learning and large language models; AI and people management; nudging financial behavior with 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 shift that artificial intelligence brings to modern engineering and management.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. ix 7. About the editors - p. xi 8. Preface - p. xiii 9. Chapter One. Living in the age of artificial intelligence: advancement or fate? - p. 1 10. Chapter Two. Using machine learning and large language models to improve the product development process - p. 29 11. Chapter Three. Artificial intelligence and people management in the 21st century - p. 41 12. Chapter Four. Benefits and drawbacks of artificial intelligence in human resource management: between utopian and dystopian visions - p. 65 13. Chapter Five. A challenge for the implementation of artificial intelligence in rural areas. Digital coverage and performance of intellectual capital of firms - p. 83 14. Chapter Six. Nudging financial behavior in the age of artificial intelligence - p. 115 15. Chapter Seven. The European Union narrative on artificial intelligence: the path to international leadership - p. 145 16. Chapter Eight. Back to the future: multidimensional transhuman influence on creativity and innovation - p. 193 17. Chapter nine. Artificial intelligence, yes! But what about the human side? The relevance of emotional intelligence and ethics - p. 207 18. Index - p. 229
