Authors:

Fadi Ghosn, Ghina Awad, Karim Darwich

• ISBN: 9798337301297
• Published: May 2025
• Format: Hardcover
• Language: English
• Publisher: IGI Global

Description:

Artificial intelligence is reshaping how financial institutions assess risk, audit complex operations, and design investment strategies. AI's Transformative Impact on Finance, Auditing, and Investment examines this shift, showing how AI-powered tools automate tasks, extract insights from vast datasets, and support faster, more transparent decision-making.

The book explores opportunities and challenges across finance, auditing, and investment: from fraud detection and predictive analytics to ESG integration, job displacement, ethics, and data privacy. It brings together research and case-based evidence from multiple regions and sectors, offering a comprehensive view of how AI is already changing financial services and what lies ahead.

Key Features:

• Explains core AI and machine learning concepts in practical financial contexts.
• Covers applications in investment management, wealth management, and robo-advisory.
• Analyzes AI in internal audit, risk management, Islamic finance, and Shariah compliance.
• Explores skills required for the AI-driven banking and finance workforce.
• Includes evidence-based studies on fintech, ESG practices, and young investors’ behaviour.
• Provides forward-looking perspectives on the future of financial decision-making.

Coverage:

• Accounting and Finance
• Artificial Intelligence and Machine Learning
• Auditing and Internal Audit
• Data Analytics and Financial Data Science
• Economics and Economic Theory
• Finance Management and Corporate Finance
• Financial Technology (Fintech)
• Government, Regulation, and Law
• Policymaking and Financial Governance
• Risk Management and Compliance
• Trade, Investment, and Capital Markets

About the Authors:

Fadi Ghosn is a researcher in finance and economics and a dedicated educator at the Lebanese International University. His work bridges academic research and practice, with expertise in financial theory, risk management, and strategic advisory services for financial institutions.

Ghina Awad is a researcher specialising in artificial intelligence applications in business and finance, with a particular focus on human resources and auditing. She has published in high-ranked journals and teaches in France, Germany, and Lebanon.

Karim Darwich is a researcher at ICN Business School (France) focusing on the intersection of AI and financial services. His work examines ethical AI implementation, algorithmic transparency, and how intelligent automation can improve decision-making and operational efficiency in banking and finance.

Table of Contents:

• Chapter 1: Artificial Intelligence in Investment and Wealth Management
• Chapter 2: Machine Learning in Finance: The Revolutionized Fusion
• Chapter 3: Internal Auditor: Soft Skills and Hard Skills in the Era of AI
• Chapter 4: Artificial Intelligence in Islamic Finance: Risk Management, Auditing, and Shariah Compliance
• Chapter 5: Essential Skills for the AI-Driven Banking Workforce
• Chapter 6: Fintech Implications on ESG Practices: Evidence from the Indian Banking Industry
• Chapter 7: Influence of Robo-Advisory on Investment Decisions of Young Investors
• Chapter 8: AI’s Impact on Financial Services, Auditing, and Investment Strategies: The Future Ahead
• Chapter 9: The Future of Financial Decision-Making: AI in Finance, Auditing, and Investment

Why buy this book?

• Connects AI theory with real financial, auditing, and investment use cases.
• Helps finance professionals understand risks, limitations, and ethical issues of AI tools.
• Provides up-to-date research suitable for teaching, training, and strategic projects.
• Supports libraries building collections on fintech, data analytics, and digital transformation.
• Ideal as a reference for regulatory, policy, and ESG-oriented discussions.

Keywords:

artificial intelligence, machine learning, finance, auditing, investment, fintech, robo-advisory, risk management, ESG, Islamic finance, data analytics, financial regulation, policymaking, internal audit, financial technology

Target Audience:

university libraries, business schools, finance and accounting departments, regulators, central banks, auditors, risk managers, investment professionals, fintech specialists, policy makers, postgraduate students, researchers

Genre:

academic monograph, professional reference, finance, economics, auditing, financial technology

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