Textbook:Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes

Author(s): Pethuru Raj Chelliah
School of Engineering and Technology, Amity University Kolkata, West Bengal, India


The financial industry is on the precipice of a transformative revolution, driven by rapid advancements in artificial intelligence (AI) and, more specifically, the emergence of generative AI. This comprehensive volume explores deep into the diverse applications and implications of generative AI across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape.
The primary purpose of this book is to equip a wide range of stakeholders—from industry practitioners and policymakers to academics and students—with the knowledge and insights necessary to navigate the transformative potential of generative AI in the financial sector. Through contributions from leading experts and researchers, this volume shows the myriad ways this innovative technology is driving efficiency, enhancing decision-making, and mitigating risks across various financial domains.
The chapters herein cover a diverse range of topics. Each highlights the unique challenges, opportunities, and best practices associated with the deployment of generative AI in the financial ecosystem. The book begins by exploring the current applications of AI in accounting, finance, economics, and business management, setting the stage for a deeper dive into the specific use cases.

Part I: Foundations and Applications of AI in Finance
Part II: Generative AI in Risk Management and Fraud Detection
Part III: Ethical, Legal, and Regulatory Considerations
Part IV: Industry-Specific Applications and Innovations

Generative Artificial Intelligence in Finance_ Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes (2025)