When you import training data to Cloud AutoML 
<https://cloud.google.com/automl/docs/data-usage-faq>, Google needs to 
store that content in order to train a machine learning model. This allows 
you to manage, annotate, modify the dataset, and to re-train the model 
without re-import. Data is stored securely on Google servers after 
encryption, until you delete the dataset or project.

When you send prediction content to Cloud AutoML, we must store that 
content for a short period of time in order to perform the analysis and 
return the results to you. The stored content is typically deleted in a few 
hours, although occasionally we will retain it for longer while we perform 
debugging and other testing. Google also temporarily logs some metadata 
about your requests (such as the time the request was received and the size 
of the request) to improve our service and combat abuse.

Regarding Speech to Text API, your data collected through data logging 
<https://cloud.google.com/speech-to-text/docs/data-logging> enjoys the same 
level of security as all other Google Cloud services. The Google security 
model is an end-to-end process, built over 15 years of experience and 
focused on keeping customers safe on Google applications like Gmail, Search 
and other Apps.

User data privacy in Google speech to text api 
<https://stackoverflow.com/questions/44572914/user-data-privacy-in-google-speech-to-text-api-google-cloud-speech-solution>
 
and User data privacy in Google speech to text api 
<https://stackoverflow.com/questions/44572914/user-data-privacy-in-google-speech-to-text-api-google-cloud-speech-solution>
 
have more explanation on this.

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  • [google-a... Carl Carlson
    • [goo... 'Tahamina (Google Cloud Platform Support)' via Google App Engine
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          • ... Carl Carlson
            • ... 'Elliott (Cloud Platform Support)' via Google App Engine

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