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How to de-identify business data for AI training
By SourceX Editorial · Updated
Short answer
De-identification removes or transforms information that identifies people or confidential parties — names, contact details, account numbers, faces and voices — so the dataset can be licensed with lower privacy risk. Methods include redaction, pseudonymization, aggregation and generalization.
Common techniques
Redaction, replacing identifiers with tokens, generalizing dates and locations, and blurring images.
Verify the result
Sample and review the output; automated tools miss things.
Know the law
Standards differ under GDPR, HIPAA and other regimes.
Talk to SourceX
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