Advances in Industrial and Systems Engineering

Comprehensive guide offering actionable strategies for enhancing human-centered AI, efficiency, and productivity in industrial and systems engineering through the power of AI. Advances in Artificial Intelligence Applications in Industrial and Systems Engineering is the first book in the Advances in Industrial and Systems Engineering series, offering insights into AI techniques, challenges, and applications across various industrial and systems engineering (ISE) domains. Not only does the book chart current AI trends and tools for effective integration, but it also raises pivotal ethical concerns and explores the latest methodologies, tools, and real-world examples relevant to today's dynamic ISE landscape. Readers will gain a practical toolkit for effective integration and utilization of AI in system design and operation. The book also presents the current state of AI across big data analytics, machine learning, artificial intelligence tools, cloud-based AI applications, neural-based technologies, modeling and simulation in the metaverse, intelligent systems engineering, and more, and discusses future trends. Written by renowned international contributors for an international audience, Advances in Artificial Intelligence Applications in Industrial and Systems Engineering includes information on: • Reinforcement learning, computer vision and perception, and safety considerations for autonomous systems (AS) • (NLP) topics including language understanding and generation, sentiment analysis and text classification, and machine translation • AI in healthcare, covering medical imaging and diagnostics, drug discovery and personalized medicine, and patient monitoring and predictive analysis • Cybersecurity, covering threat detection and intrusion prevention, fraud detection and risk management, and network security • Social good applications including poverty alleviation and education, environmental sustainability, and disaster response and humanitarian aid. Advances in Artificial Intelligence Applications in Industrial and Systems Engineering is a timely, essential reference for engineering, computer science, and business professionals worldwide.

Detailed guide on how humans and AI systems work in tandem, focused on the successful deployment and use of applications Advances in Human-AI Collaboration offers a comprehensive exploration of AI technologies and applications in the field of Industrial and Systems Engineering. The book incorporates knowledge about AI technology, methodologies, and tools for enabling human-AI collaboration at work, covers the effective design and use of systems and operations utilizing human-AI collaboration to benefit productivity, quality, and customer satisfaction, and provides readers with the skills necessary to effectively implement and consider human-AI collaboration across a variety of settings. This book delivers insights on a wide range of topics including similarities and differences of human and artificial intelligence, effort in creating algorithms versus meeting user needs and enabling improved decision support, sentiment analysis and language models, AI tutors and their design, engagement, and theory building, situation awareness of AI models in relation to human performance, and fact-checking beyond machine learning and predictive accuracy. Written by a team of highly qualified academics with significant experience in the field, Advances in Human-AI Collaboration includes information on: • Autonomous vehicles and delivery systems, covering sensors and perception as well as adoption rate and safety projections • Chat-based customer service, covering theory-based interventions to enhance public services and examples of intentional human-technology interaction • Ship safety, covering increased automation and machine vision to enable collision avoidance • Strategies for moving beyond passive writing assistance and writing-related best practices • Vulnerabilities in technology-centered design including biased and distorted data, with examples of real-world accidents Advances in Human-AI Collaboration is an essential read for industry practitioners and corporate researchers concerned with using AI in integrated system design and operation. The book also provides essential knowledge for academics researching AI and integrated systems.