Safety

Anonymisation

Removing or masking the details that identify people, so data can be used or shared without exposing anyone.

Anonymisation strips the identifiers A record with a name, email, and city becomes a record with the identifiers removed. STRIP THE IDENTIFIERS Jane Doe jane@acme.com London Customer 1 [removed] [region]

Anonymisation strips the identifying details out of data. Names, emails, and ID numbers come out (or get masked), leaving the useful shape behind, the trends, counts, and patterns, without the people. Done well, no one can be traced from what remains.

It is the safe move before sharing data with an AI tool when you only need the analysis, not the individuals. Note the weaker cousin: pseudonymisation swaps identifiers for codes but can be reversed, so it is not the same as true anonymisation.

Often confused with: Pseudonymisation. Anonymisation cannot be reversed; pseudonymisation swaps in codes that can be traced back, so it is less protective.

See it in a lesson: AI at work: safety and privacy

Further reading

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