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.

VINCENT G. DUFFY is a Professor of Industrial Engineering and Agricultural & Biological Engineering at Purdue University.

WALDEMAR KARWOWSKI is a Pegasus Professor and Chairman in the Department of Industrial Engineering and Management Systems at the University of Central Florida.

GAVRIEL SALVENDY is a University Distinguished Professor at the University of Central Florida.