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Profiling

As defined in GDPR Article 4(4), any form of automated processing of personal data consisting of using such data to evaluate certain personal aspects relating to a natural person, in particular to analyse or predict aspects concerning that natural person's performance at work, economic situation, health, personal preferences, interests, reliability, behaviour, location or movements.

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

EU AI Act Implementation Expert

As defined in GDPR Article 4(4), any form of automated processing of personal data consisting of using such data to evaluate certain personal aspects relating to a natural person, in particular to analyse or predict aspects concerning that natural person's performance at work, economic situation, health, personal preferences, interests, reliability, behaviour, location or movements.

AI Data Governance: The Data Chair

Under GDPR Article 4(4), any form of automated processing of personal data used to evaluate certain personal aspects relating to a natural person, including performance at work, economic situation, health, reliability, and behavior. Fraud scoring and hiring ranking are both profiling, which is why Recital 71 names them as the paradigm cases GDPR Article 22 was built to reach.

EU AI Act Implementation Expert

Automated processing of personal data to evaluate certain personal aspects of a natural person, in particular to analyse or predict aspects concerning personality, interests, behaviour, or location. In the Article 5(1)(d) context, profiling of a natural person as the sole basis for a criminal-offence risk assessment is prohibited.

Where it is taught

The exact lessons this term appears in. The first 7 topics of every program are free with a free account.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.