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Artificial Intelligence in Auditing: Opportunities, Challenges, and Future Directions

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AI enhances audit efficiency and effectiveness through technologies like machine learning and continuous auditing.
Challenges include data privacy issues and the need for skills adaptation for professionals in auditing.
The study employs qualitative research design based on secondary sources to explore AI's role in auditing practices.
Recommendations for regulatory frameworks and skill sets call for effective integration of AI in auditing.

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Qualitative research highlights AI's benefits for efficiency in auditing, suggesting frameworks to address privacy concerns.

Zehra Fırat (2025) studied this question.

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