The Integration of Artificial Intelligence in Financial Auditing to Optimize Efficiency, Risk Management, and Transparency
The Integration of Artificial Intelligence in Financial Auditing to Optimize Efficiency, Risk Management, and Transparency

Author(s): Housseni Wague, Azzeddine Allioui
Subject(s): Financial Markets, ICT Information and Communications Technologies
Published by: Scientia Moralitas Research Institute
Keywords: artificial intelligence; financial auditing; financial data analysis; audit risk; data management; financial regulation;
Summary/Abstract: The financial audit landscape is changing rapidly, driven by globalization, technological innovation, and the growth of financial data. Traditional auditing methods are struggling to keep pace with this growing complexity, driving the need for a more efficient and accurate approach. Artificial intelligence (AI) plays a crucial role in addressing these challenges. This analysis explores the varied impact of AI on financial auditing, highlighting trends, challenges, and opportunities. By examining academic studies, empirical research and real-life cases, this article reveals significant transformations brought about by AI in financial auditing. Its integration does not simply replace human expertise but offers synergistic collaboration. AI enables auditors to extract deep insights from financial data, highlighting risks and promoting transparency in organizations. As the financial world moves towards digitalization, the partnership between human auditors and AI promises to profoundly reshape the future of financial auditing.

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