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

Abstract

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.