What are the main challenges of using AI in auditing?
Some key challenges include data quality, regulatory compliance, and the need for human oversight.
How does data quality affect AI in auditing?
Poor data quality can lead to inaccurate insights, making it difficult for auditors to trust AI-generated results.
What regulations should auditors be aware of when using AI?
Auditors must consider regulations like GDPR for data privacy and industry-specific standards that govern AI use.
Is human oversight still necessary with AI in auditing?
Yes, human oversight is crucial to interpret AI findings and ensure ethical decision-making.
What future trends do you see for AI in auditing?
Future trends may include enhanced predictive analytics, improved data integration, and more robust compliance tools.
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