What are the risks associated with augmented data?
An example of an AI chatbot conversation about the risks of using augmented data in AI systems.
What are the risks associated with augmented data?
Augmented data can introduce biases, reduce data quality, and lead to overfitting in models. Would you like to know more about these risks?
Yes, can you explain how biases are introduced?
Biases can be introduced through the selection of data used for augmentation, which may not represent the real-world scenario accurately.
What can be done to mitigate these risks?
To mitigate risks, ensure diverse data sources, validate augmented data, and continuously monitor model performance.
Are there any specific examples of these risks in real-world applications?
Yes, there have been cases in facial recognition and hiring algorithms where augmented data led to biased outcomes.
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