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Protected demographic

As explained in Effective Data Analysis

A protected class is a legally recognized demographic group whose members receive protection against specified forms of discrimination.

A protected demographic is a legally recognized group whose members receive protection against specified forms of discrimination. In automated employment systems, relevant groups can include race, ethnicity, sex, and intersecting groups. section 8.2.2

The concept supports bias analysis by comparing predicted rankings, ratings, or selection rates across protected groups in hiring or promotion workflows. section 8.2.2

Apply the concept by examining:

  • Candidate-ranking software, internally developed keyword rules, and vendor quality scores. section 8.2.2
  • Differences in ranking, rating, or selection rates by demographic group or intersection. section 8.2.2
  • Changing legal requirements governing automated decisions and mandated audits. section 8.2.2

How Effective Data Analysis covers it

How deep it goes
Defines protected classes and frames comparative audit questions, but defers detailed metric calculations and legal interpretation.
Examples
Examines candidate-ranking software, keyword rules, vendor quality scores, and selection-rate differences across race, ethnicity, sex, and intersections.
What you can do after
Diagnose potential bias by comparing automated scores and selection rates across legally protected demographic groups.
How it connects
Connects protected demographics with discrimination, bias, automated systems, hiring, promotion, audits, and regulation.
Cover of Effective Data Analysis
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.