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How does anonymization ensure privacy in AI datasets?
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Answer / Ashok Kumar Goutam
Anonymization ensures privacy in AI datasets by removing or altering personally identifiable information (PII) to prevent individuals from being re-identified. This can involve various techniques such as data masking, where sensitive values are replaced with placeholders, or data perturbation, where the data is modified slightly while preserving statistical accuracy. Anonymized datasets can be safely used for AI training and analysis without compromising user privacy.
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