Data & Society > our work > primer > Data & Civil Rights: Employment Primer

primer | 10.30.04

Data & Civil Rights: Employment Primer

Alex Rosenblat, Kate Wikelius, danah boyd, Seeta Peña Gangadharan, Corrine Yu

The complexity of hiring algorithms which fold all kinds of data into scoring systems make it difficult to detect and therefore challenge hiring decisions, even when outputs appear to disadvantage particular groups within a protected class. When hiring algorithms weigh many factors to reach an unexplained decision, job applicants and outside observers are unable to detect and challenge factors that may have a disparate impact on protected groups.

This document is a workshop primer from Data & Civil Rights: Why “Big Data” is a Civil Rights Issue.

Subscribe to the Data & Society newsletter

Support us

Donate
Data & Society Research Institute 36 West 20th Street, 11th Floor
New York, NY 10011, Tel: 646.832.2038

Reporters and media:
[email protected]

General inquiries:
[email protected]

Unless otherwise noted this site and its contents are licensed under a Creative Commons Attribution 3.0 Unported license.