What are the risks of using AI in auditing?
The main risks include data privacy issues, algorithmic bias, and over-reliance on technology.
Can you explain how algorithmic bias affects auditing?
Algorithmic bias can lead to unfair treatment of certain groups if the AI is trained on biased data.
What measures can be taken to mitigate these risks?
Implementing regular audits of AI systems, using diverse training data, and ensuring transparency can help mitigate risks.
Are there any legal implications of using AI in auditing?
Yes, there are legal implications, including compliance with data protection laws and liability for errors made by AI.
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