3b(vii). Surrogate features and bias

The Data Scientist is responsible for detecting and flagging features that might be surrogate to other features that violate fundamental equality rights (gender, race, religion, etc). In general proxy features need to always be checked against social discriminating features (see also 1c. Equality legislation)


  • Juan Bernabé Moreno says:

    Proxies are often used to approximate feature that are not present in the data (e.g.: to assess the average power consumption of a hotel, the number of rooms can be used as a proxy). On the other hand, using as an attribute the attendance to a particular workshop where the majority of the audience is expected to be female might be a surrogate for gender.

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