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Zendesk's Data Sanitization for AI Training

Learn how Zendesk sanitizes data for AI training using exclusion, NLP, and tokenization.

How does Zendesk sanitize data for AI training?

Zendesk sanitizes data for AI training by excluding specific identifiers and using natural language processing to remove irrelevant identifying information. Data is then tokenized into a machine-readable format, ensuring it is not human-readable without a tokenizer. For Ultimate customers, they can directly determine how to sanitize their training datasets, replacing personal data with anonymous labels.


More related questions

How does Zendesk ensure customer data privacy in AI models?

Zendesk takes several measures to ensure customer data privacy in its AI models. They exclude specific identifiers like usernames and email addresses from training datasets and apply natural language processing algorithms to remove irrelevant…

Are Zendesk's AI models generative?

No, Zendesk's proprietary AI models are not generative. This means they do not produce free text, images, or code, unlike many consumer-facing AI solutions. Instead, these models output labels, which reduces the risk of customer data being…

What are Zendesk's generative AI features?

Zendesk offers generative AI features supported by OpenAI. These features are designed to generate content, but importantly, OpenAI does not use your inputs to train its models or improve its services. Your data is only hosted ephemerally by OpenAI…

Does using Zendesk AI affect existing agreements?

Using Zendesk AI does not affect your existing agreements with Zendesk. If you have a Data Processing Addendum (DPA) with Zendesk, the terms of that DPA will continue to apply to your use of the services. This ensures that your contractual…

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