Machine Learning Consent

The Machine Learning Consent module captures the user's consent to process their biometric data for machine-learning purposes. You choose the consent text variant (US, GDPR, or worldwide) that matches your compliance needs.

You add this module in code by adding it to your IncdOnboardingFlowConfiguration (flowConfig), as shown on this page. See Integration Approaches for how to define and run the flow.

Availability: All variants.

Add Machine Learning Consent

Add the module to the flow with addMachineLearningConsent(type:). The type argument is required. There is no default, so you always pass the regulation variant explicitly.

flowConfig.addMachineLearningConsent(type: .us)   // .us / .gdpr / .worldwide

Example

The example below adds the module to the flow configuration and handles the result through IncdOnboardingDelegate.

flowConfig.addMachineLearningConsent(type: .us)

func onMachineLearningConsentCompleted(_ result: MachineLearningConsentResult) {
    // Consent step completed. Process the result.
}

Configuration Options

Configure the module with addMachineLearningConsent().

Result

Machine Learning Consent delivers a MachineLearningConsentResult to the onMachineLearningConsentCompleted(_:) callback on your IncdOnboardingDelegate. Its fields are:

• status: Bool?: The consent choice the user made and Incode recorded. true if the user accepted the consent; false if the user declined it; nil if the choice could not be recorded, in which case error is set.
• error: IncdError?: The error that occurred, when present; otherwise, nil.

The consent is optional, so the user can continue with or without it. The flow always continues to the next module. Read status to know what the user chose, and apply your own policy if your compliance rules require the consent.