AI-Driven Risk Assessment in Auditing Investigating the Role of AI in Improving Risk Assessment During Audits
Author(s): Aman Deep Singh
Publication #: 2511033
Date of Publication: 27.11.2025
Country: United States
Pages: 1-4
Published In: Volume 11 Issue 6 November-2025
DOI: https://doi.org/10.62970/IJIRCT.v11.i6.2511033
Abstract
In recent years, the adoption of Artificial Intelligence (AI) in the auditing landscape has introduced groundbreaking advancements in risk assessment methodologies. This white paper delves into the transformative role of AI-driven tools in auditing, emphasizing their ability to enhance the identification of trends, detection of anomalies, and overall risk control. By leveraging advanced algorithms, machine learning models, and data analytics, auditors can now analyze extensive datasets more efficiently and accurately. The integration of AI not only streamlines the auditing process but also mitigates human errors and uncovers potential risks that traditional methods may overlook. This paper discusses the capabilities, benefits, and challenges associated with AI-driven risk assessment tools, providing insights into how they are reshaping the future of auditing.
Keywords: Artificial Intelligence, Auditing, Risk Assessment, Data Quality and Integration, Ethical and legal implications.
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