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Conference object . 2025
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Article . 2025
License: CC BY
Data sources: Datacite
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Article . 2025
License: CC BY
Data sources: Datacite
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The Integration of Artificial Intelligence in Financial Auditing to Optimize Efficiency, Risk Management, and Transparency

Authors: Wague, Housseni; Allioui, Azzeddine;

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

Abstract

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. Keywords: artificial intelligence, financial auditing, financial data analysis, audit risk, data management, financial regulation 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green