Alex Hern:

“Anonymised” data lies at the core of everything from modern medical research to personalised recommendations and modern AI techniques. Unfortunately, according to a paper, successfully anonymising data is practically impossible for any complex dataset.

An anonymised dataset is supposed to have had all personally identifiable information removed from it, while retaining a core of useful information for researchers to operate on without fear of invading privacy. For instance, a hospital may remove patients’ names, addresses and dates of birth from a set of health records in the hope researchers may be able to use the large sets of records to uncover hidden links between conditions.