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Google was one of the first in the industry to publish an
AI/ML Privacy Commitment,
which outlines our belief that customers should have the highest level of
security and control over their data that is stored in the cloud. That
commitment extends to Google Cloud generative AI products. Google helps ensure
that its teams are following these commitments through robust data governance
practices, which includes reviews of the data that Google Cloud uses in
the development of its products. More details about how Google processes data
can also be found in
Google's Customer Data Processing Addendum (CDPA).
Usage of generative AI
AI Applications uses generative AI services for building search, personalized,
and conversational experiences.
As part of the Google Cloud AI/ML Privacy Commitment, customer data used
in AI Applications is not used to train foundation models.
Foundation models are frozen and only process input to provide output for the
services provided by AI Applications.
Customer-specific models
When applicable, customer-specific models are built automatically and used only
in the context of the project that is specific to the customer for the
AI Applications service.
Any customer data used to create these customer-specific models is not used to
train foundation models.
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