Scientism as illusio in HR algorithms: Towards a framework for algorithmic hygiene for bias proofing

Autor:	Joana Vassilopoulou, Olivia Kyriakidou, Mustafa F. Özbilgin, Dimitria Groutsis
Přispěvatelé:	Özbilgin, Mustafa F., Vassilopoulou, Joana, Kyriakidou, Olivia, Groutsis, Dimitria, College of Administrative Sciences and Economics
Rok vydání:	2022
Předmět:	illusio sociomateriality Organizational Behavior and Human Resource Management HR algorithmic bias performativity Artificial intelligence Illusio Scientism Sociomateriality Industrial relations and labor Management scientism artificial intelligence
Zdroj:	Human Resource Management Journal
ISSN:	1748-8583 0954-5395
DOI:	10.1111/1748-8583.12430
Popis:	Human Resource (HR) algorithms are now widely used for decision making in the field of HR. In this paper, we examine how biases may become entrenched in HR algorithms, which are often designed without consultation with HR specialists, assumed to operate with scientific objectivity and often viewed as instruments beyond scrutiny. Using three orienting concepts such as scientism, illusio and rationales, we demonstrate why and how biases of HR algorithms go unchecked and in turn may perpetuate the biases in HR systems and consequent HR decisions. Based on a narrative review, we examine bias in HR algorithms; provide a methodology for algorithmic hygiene for HR professionals. NA
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf5641ba48f84ce0371abf006dd1524 https://doi.org/10.1111/1748-8583.12430 Zobrazit plný text záznamu Plný text