What are the risks of anonymization?
An example of an AI chatbot conversation about the risks associated with data anonymization.
What are the risks of anonymization in data privacy?
Anonymization can reduce privacy risks, but it isn't foolproof. Risks include re-identification and data linkage.
How can re-identification happen?
Re-identification can occur when anonymized data is combined with other datasets, making it possible to identify individuals.
Are there any examples of re-identification in real life?
Yes, one famous case involved the re-identification of individuals in a public dataset by cross-referencing it with voter registration data.
What measures can be taken to mitigate these risks?
To mitigate risks, organizations can use techniques like data masking, differential privacy, and limiting data sharing.
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