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Big Data in I-O Psychology: Privacy Considerations and Discriminatory Algorithms

Published online by Cambridge University Press:  17 December 2015

A. James Illingworth
A. James Illingworth*
Affiliation:
Geode People, Inc., Decatur, Georgia
*
Correspondence concerning this article should be addressed to A. James Illingworth, 2955 Fantasy Lane, Decatur, GA 30033. E-mail: ajillingworth@geodepeople.com
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Extract

The “big data” movement is forcing many fields to establish best practices for the collection, analysis, and application of big data, and the field of industrial–organizational (I-O) psychology is not exempt from this disruptive influence. Over the last several years, I-O scientists and practitioners have grappled with questions related to the definition, application, and interpretation of big data (e.g., Doverspike, 2013; Maurath, 2014; Morrison & Abraham, 2015; Poeppelman, Blacksmith, & Yang, 2013). The focal article by Guzzo, Fink, King, Tonidandel, and Landis (2015) continues this discussion and represents one of the first attempts to establish a formal set of recommendations for working with big data in ways that are consistent with I-O psychology's professional guidelines and ethics requirements.

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 8 , Issue 4 , December 2015 , pp. 567 - 575
Copyright
Copyright © Society for Industrial and Organizational Psychology 2015 

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