During the training phase of a generative AI model gcp video

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During the training phase of a generative AI model intended to identify hate speech, a malicious actor deliberately introduces mislabeled examples into the training dataset, where harmful content is labeled as benign. As a result, the trained model fails to correctly identify certain types of hate speech. This attack, which corrupts the training data to compromise the model's behavior, is called: