Edited by
Jeff Saltz, Syracuse University, USA
Shamik Tiwari, IILM University, Gurugram, India
Anurag Jain, IILM University, Gurugram, India
Prasenjit Chatterjee, MCKV Institute of Engineering, West Bengal, India
Tanupriya Choudhury, University of Petroleum and Energy Studies (UPES), Dehradun, India
Jasmina Tacheva, Syracuse University, USA
ISBN : 9781836690719
Publication Date : December 2026
Hardcover 364 pp
170 USD
Co-publisher
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.
1. Decoding the Market’s Noise: AI Tools for Clarifying Sound Financial Decision-Making, Monu Bhardwaj and Rupa Khanna Mahlotra.
2. Neuromorphic Computing: Brain-Inspired Intelligence and Next-Generation AI Systems, Samiksha Walia, Samdisha Walia, Law Kumar Singh and Rekha Singh.
3. EduFAITH: A Requirements Engineering Framework for Ethical and Human-Centered AI in Educational Decision Systems, Tanu Singh and Aashna Suman.
4. Applications of AI in Healthcare Decision Support: A Systematic Review , Sakshi, Sakshi Gupta and Hilal Ahmad Shah.
5. Systematic Review Synthesizes Recent Advances in Computer Vision Decision Systems, Neelam Kumari, Sunil Kumar Chawla and Shivani Wadhwa.
6. Machine Learning Insights Regarding the Impact of Weather and Region on Crops, Nidhi Bansal Garg, Atul Garg and Anurag Jain.
7. AI-Enabled IoT Decision Support in Smart Agriculture: Strategies, Challenges and Case Studies, Tarun Kumar, Sonia Suneja, Jyoti Saini, Kanwal Garg, Rutuja Subhash Magar and Dolly Rani.
8. AI in Manufacturing and Supply Chain Management, Neetika Jain.
9. AI in Educational Decision Systems, Anik Acharjee.
10. Reinforcement Learning-Driven Frameworks for Adaptive and Explainable Decision Intelligence,Basant Kumar Verma, Parveen Kumar Sharma, Shekhar Singh, Dinesh Kumar Garg and Hemlata.
11. Explainable AI for High-Stakes Decision-Making in Healthcare and Finance, Abdul Malik Ansari.
12. AlzCare: Smart Assistance System for Daily Activities in Alzheimer’s Patients, Riya Kansal, Jappanjot Kaur, Parampreet Kaur, Law Kumar Singh and Rekha Singh.
13. A Comprehensive Survey on Sentiment Analysis: Evolution from Machine Learning and Deep Learning to Large Language Models, Wesam Ahmed.
14. Generative AI in Creative Industries, Gautam Das, Prachi Mishra, Shailja Saini and Avneet Kaur.
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.
