Artificial Intelligence in Decision Sciences

Artificial Intelligence in Decision Science investigates the impact of artificial intelligence (AI) on decision-making. The book is a well-balanced mix of theory, practice and examples from the field to show how AI-based techniques can help in making data-driven decisions across a range of sectors, including business, healthcare, finance, manufacturing, education and public administration. This book explores the fundamental concepts of AI, such as machine learning, deep learning, natural language processing, generative AI and multi-agent systems, and their role in addressing modern decision-making problems. Practical insights are given on the adoption of AI, on how to implement AI and the impact of AI in case-study organization, which makes concepts accessible for researchers and practitioners alike. This book is an excellent reference guide for academics, students, industry and decision makers interested in effective application of AI techniques in the current context of decision sciences to facilitate smart, effective and informative decision making.

Jeff Saltz is an Associate Professor and Program Director for Applied Data Science, Information Systems, and Artificial Intelligence at Syracuse University, USA. His research focuses on data science, AI, collaborative analytics and experiential learning.Shamik Tiwari is a Professor and Dean at IILM University, Gurugram, India. His research focuses on AI, machine learning, the Internet of Things and data analytics.Anurag Jain is a Professor at IILM University, Gurugram, India. His research focuses on AI, machine learning, deep learning and explainable AI.Prasenjit Chatterjee is a Professor of Mechanical Engineering and Dean (Research & Consultancy) at MCKV Institute of Engineering, West Bengal, India. His research focuses on multi-criteria decision-making, supply chain analytics, circular economy, and production and operations management.Tanupriya Choudhury is a Professor at the University of Petroleum and Energy Studies (UPES), Dehradun, India. His research interests include AI, machine learning, the Internet of Things, healthcare informatics and smart computing.Jasmina Tacheva is an Assistant Professor at Syracuse University, USA. Her research focuses on human-centered AI, computational social science, natural language processing and responsible AI, emphasizing trustworthy and socially informed intelligent systems.