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A beer company is trying to understand how much recognition its logo has in the...

A beer company is trying to understand how much recognition its logo has in the market. It plans to do that by monitoring images on various social media platforms using a pre-trained neural network for logo detection. This particular model has been trained by looking for words, as well as matching colors on social media images. The company logo has a big word across the middle with a bold blue and magenta border.

Which associated risk is most likely to occur when using this pre-trained model?

A.

There is no risk, as the model has already been trained

B.

Insufficient function: the model was not trained to check for colors or words

C.

Improper data preparation

D.

Inherited bias: the model could have inherited unknown defects

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