What is the impact of AI on data integrity?
AI can enhance data integrity by automating data validation and error detection, but it can also introduce biases.
Can you explain how AI might introduce biases?
AI systems can inherit biases from training data, leading to skewed results that compromise data integrity.
What measures can be taken to ensure data integrity when using AI?
Implementing regular audits, using diverse datasets, and applying ethical guidelines can help maintain data integrity.
Are there any real-world examples of AI affecting data integrity?
Yes, there have been cases in finance and healthcare where AI misinterpretations led to significant data integrity issues.
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