  It has become trivial to point out how decision-making processes in various
social, political and economical sphere are assisted by automated systems.
Improved efficiency, the hallmark of these systems, drives the mass scale
integration of automated systems into daily life. However, as a robust body of
research in the area of algorithmic injustice shows, algorithmic tools embed
and perpetuate societal and historical biases and injustice. In particular, a
persistent recurring trend within the literature indicates that society's most
vulnerable are disproportionally impacted. When algorithmic injustice and bias
is brought to the fore, most of the solutions on offer 1) revolve around
technical solutions and 2) do not focus centre disproportionally impacted
groups. This paper zooms out and draws the bigger picture. It 1) argues that
concerns surrounding algorithmic decision making and algorithmic injustice
require fundamental rethinking above and beyond technical solutions, and 2)
outlines a way forward in a manner that centres vulnerable groups through the
lens of relational ethics.
