Removing personally identifiable information (PII) from the data, also known as data anonymization, is the most effective way to protect customer privacy during model training.
While encrypting data and limiting access are important security measures, they do not prevent the AI model from potentially learning sensitive information. Using secure servers protects data from external threats but does not address privacy concerns related to data handling during training.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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