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Design for Data Privacy & Controls

When building GenAI applications, privacy and security must come first. They are key to earning user trust and staying compliant with regulations.
As AI systems collect and process personal data, it’s crucial to
Use strong encryption
Anonymise sensitive information
Set secure access controls
Be transparent about how data is used. Give users clear options to opt in or out of data collection.
For example, Slack AI clearly communicates that customer data remains owned and controlled by the customer, and is not used to train Slack's or any third-party AI models
In a hypothetical example of a Personal Doctor AI assistant, If a user tells a Personal Doctor AI about their diabetes, and the app shares that data with marketing companies, trust would break fast.The user would feel betrayed and the app could face lawsuits and heavy fines. Its reputation would collapse, and users would leave.

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