3f. Probabilistic (inferred) information and GDPR

The Data Scientist is often able to generate more or less accurately inferred information about a person (e.g. gained over statistical similarities with other people) and will treat this information in the same way personal data subject to GDPR and ascribing the newly inferred information a score indicating how reliable it is. Moreover, algorithmic inferred information about a person shall be given the same treatment as factual information (expected under compliance with GDPR)


  • Juan Bernabé Moreno says:

    The known problem of credit scoring is a good example. People can hardly ever get rid of a particular entry, which is the product of a model and can rarely be corrected or amended, even if the person provides further data.

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