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Explainable Artificial Intelligence examines how Explainable Artificial Intelligence is reshaping the design, governance and practical use of AI-enabled decision support in contemporary business. As organisations increasingly depend on complex algorithmic systems for strategic, operational and customer-facing decisions, questions of transparency, interpretability, accountability and trust have become central to responsible AI adoption. Bringing together foundational concepts, technical approaches and management perspectives, the authors show how XAI can bridge the gap between sophisticated AI models and stakeholders who must understand, scrutinise and act on their outputs.
Through international case studies and discussion of emerging technologies, the authors offer practical insights into overcoming technical, organisational and governance barriers to explainable decision-making. Written for researchers, business leaders, data scientists, policymakers and advanced students, this volume provides a timely roadmap for developing AI-driven business systems that are effective, interpretable, trustworthy and aligned with the demands of a responsible global economy.
Amandeep Kaur is an Assistant Professor at the Advanced Centre of Research and Innovation, CGC University, Mohali, India.
Chander Prabha is Professor in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Ramandeep Sandhu is Associate Professor in the School of Computer Science and Engineering at Lovely Professional University, India.
Balamurugan Balusamy is a Professor and Chairperson at the School of Engineering and IT, Manipal Academy of Higher Education, Dubai Campus, Dubai, UAE.
Ripudaman Singh is Assistant Professor at Chitkara School of Mass Communication, Chitkara University, Punjab, India.
Firoz Khan is Assistant Professor in the Centre for Information and Communication Sciences at Ball State University, USA.
Chapter 1. Introduction to Explainable Artificial Intelligence (XAI): A Global Perspective on Business Decision-Making; Rockhy Mukkoottil Philip, Pawan Kumar, and Sumesh Dadwal
Chapter 2. From Intelligence to Explanation: An Introduction to Artificial Intelligence and Explainable AI (XAI); Gurpreet Kaur, Santosh Bali, and Nidhi Aggarwal
Chapter 3.The Conceptual Factors of Artificial Intelligence: A Boon or Bane; Sukhdev Singh Dhanju, Gvantsa Tushishvili, and Rohit Markan
Chapter 4. Explainable AI‑Driven Big Data Analytics for Value‑Creating Business Decisions in Agriculture; Rifat Kamasak, Baris Yalcinkaya, Deniz Palalar Alkan, and Ugur Bati
Chapter 5. The Intersection of Explainable AI and Business Strategy; Michael Oyedele Oyenuga, Thomas Oyetunde Oladele, Solomon Jeresa, and Chaitali Chandarana
Chapter 6. Unlocking Business Value through Explainable AI: Strategic Imperatives for sustainable Growth; Venu Kesireddy, K. Aruna, and Dr. Mala Kapoor
Chapter 7. Core Techniques and Models in XAI; G Prethija, Kalyanasundaram V, Keerthi AJ, and Tarun Vinod Pai
Chapter 8. Explainable Artificial Intelligence for Respiratory Disease Diagnosis Using Transfer Learning; Balraj Preet Kaur, Satyam Sharma, and Akash Gill
Chapter 9. Critical Insights into Ethical Issues in AI Systems; Bhavna Sharma and Palki Sharma
Chapter 10. Enhancing Human - AI Collaboration in Decision Support; Shanmuganathan V, A. Saranya, Garima Shukla, V. Bharathi, P. Suresh, and Monali Gulhane Shirbhate
Chapter 11. Global Applications of XAI in Business; Gursimran Kaur, Joti, and Rupesh Roshan Singh
Chapter 12. Enhancing Cloud Storage Security Through Privacy-Preserving Architectures: A Study of Emerging Trends and Techniques; Asthaa Jain
Chapter 13. Integration with Emerging Technologies: A Critical Analysis; Manpreet Kaur
Chapter 14. Virtual Glamour, Real Trust: Explainable AI Shaping the Next Wave of Beauty Adoption in the Metaverse; Gaganpreet Kaur and Neeraj Kumar Vats
Chapter 15. Trans border Communication in Explainable AI: The Limits of English Language-Only Interfaces; Mala Kapoor
Chapter 16. Governance by Design: Explainable AI, Risk-Aware Decision Systems, and Strategic Transparency in Business Innovation; Anirban Ghatak and Gaganpreet Kaur
Chapter 17. Explainable Artificial Intelligence: Building Trust and Transparency; Pummy Dhiman, Swati Singh, Shuchi Sharma, and Sudha
Chapter 18. A Study on the Impact of Explainable AI on Trust and Decision Quality in Business-Engineered Decision Support Systems: A Bibliometric Analysis; Rohit Markan, Sukhdev Singh Dhanju, Sushil Bhardwaj, Gurvinder Singh, Varinder Singh Rana, and Harpo Minder Jit Kaur
Chapter 19. Gender Diversity in AI: Contributions, Barriers, and Inclusivity of Women; Komalpreet Kaur and Anuradha Manhas
Chapter 20. Bridging the Global Divide: Strategic Applications and Sectoral Impact of Artificial Intelligence Across Developed and Emerging Markets; Ankita Sharma, AnchitJhamb, and Abhinav Vashisht
Chapter 21. AI-Driven Brand Analysis of Allen Solly: Navigating New Competitive Fashion Landscapes; Sneha