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Generative Artificial Intelligence in Finance
Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes
Pethuru Raj Chelliah (Edited by), Raj (Author), Pushan Kumar Dutta (Edited by), Abhishek Kumar (Edited by), Ernesto D. R. Santibanez Gonzalez (Edited by), Mohit Mittal (Edited by), Sachin Kumar Gupta (Edited by)
9781394271047, Wiley
Hardback, published 7 February 2025
512 pages
22.9 x 15.2 x 3 cm, 0.85 kg
This comprehensive volume delves 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. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management. Audience The audience for this book is quite diverse, ranging from financial and accounting experts across banking, insurance, consultancies, regulatory agencies, and corporations seeking to enhance productivity and efficiency; business leaders want to implement ethical and compliant AI practices; researchers exploring the domain of AI and finance.
Preface xxi Part I: Foundations and Applications of AI in Finance 1 1 Artificial Intelligence Application and Research in Accounting, Finance, Economics, Business, and Management 3 2 Automating Data Entry in the Indian Banking Industry Through Generative 5 3 Future Approach Generative AI, Stylized Architecture, and its Potential in Finance 33 4 Generative Artificial Intelligence (GAI) for Accurate Financial Forecasting 57 5 The Far-Reaching Impacts of Emerging Technologies in Accounting and Finance 77 Part II: Generative AI in Risk Management and Fraud Detection 99 6 Deep Diving into Financial Frauds via Ad Click, Credit Card Management and Document Dispensation in E-Commerce Transactions 101 7 Generative AI: A Transformative Tool for Mitigating Risks for Financial Frauds 125 8 Innovation Unleashed Charting a New Course in Risk Evaluation with Generative AI 149 9 The Significance of Generative AI in Enhancing Fraud Detection and Prevention Within the Banking Industry 159 10 Role of Generative AI for Fraud Detection and Prevention 175 Part III: Ethical, Legal, and Regulatory Considerations 199 11 Ethical and Regulatory Compliance Challenges of Generative 201 12 Navigating the Frontier of Finance: A Scoping Review of Generative AI Applications and Implications 215 13 Ensuring Compliance and Ethical Standards with Generative AI in Fintech: A Multi-Dimensional Approach 253 14 Privacy Laws and Leak of Financial Data in the Era of Generative AI 265 15 Ethics and Laws: Governing Generative AI's Role in Financial Systems 283 Part IV: Industry-Specific Applications and Innovations 299 16 Generative AI Tools for Product Design and Engineering 301 17 AI-Driven Generative Design Redefines the Engineering Process 327 18 Insurance Disruption: Analytics on Blockchain Transforming Indian Insurance Industry 361 19 Application of Explainable Artificial Intelligence in Fintech 383 20 Empowering Financial Efficiency in India: Harnessing Artificial Intelligence (AI) for Streamlining Accounting and Finance 407 21 Framework and Interface: The Backbone of AI Systems in Banking in India 429 22 Harnessing Generative AI for Engineering and Product Design: Conceptualization, Techniques, Advancements and Challenges 443 References 463 Index 467
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Subject Areas: Finance & accounting [KF]
