  Algorithmic fairness has been framed as a newly emerging technology that
mitigates systemic discrimination in automated decision-making, providing
opportunities to improve fairness in information systems (IS). However, based
on a state-of-the-art literature review, we argue that fairness is an
inherently social concept and that technologies for algorithmic fairness should
therefore be approached through a sociotechnical lens. We advance the discourse
on algorithmic fairness as a sociotechnical phenomenon. Our research objective
is to embed AF in the sociotechnical view of IS. Specifically, we elaborate on
why outcomes of a system that uses algorithmic means to assure fairness depends
on mutual influences between technical and social structures. This perspective
can generate new insights that integrate knowledge from both technical fields
and social studies. Further, it spurs new directions for IS debates. We
contribute as follows: First, we problematize fundamental assumptions in the
current discourse on algorithmic fairness based on a systematic analysis of 310
articles. Second, we respond to these assumptions by theorizing algorithmic
fairness as a sociotechnical construct. Third, we propose directions for IS
researchers to enhance their impacts by pursuing a unique understanding of
sociotechnical algorithmic fairness. We call for and undertake a holistic
approach to AF. A sociotechnical perspective on algorithmic fairness can yield
holistic solutions to systemic biases and discrimination.
