The present paper seeks to contribute to a differentiated ethical and legal debate [on the ethics of Automated Decision Making] by introducing a taxonomy. This taxonomy is focused on the issue of action as well as on the dimensions of potential harm inherent in automation.
We begin by explaining why technology-neutral ethics are needed. We then look at how actions and decision-making
occur within automation before proposing a taxonomy that provides a structure for classifying the various risks
and conflicts more appropriately, thus enabling a more differentiated procedure for developing ethical criteria.
We therefore propose a categorization that distinguishes between the category in which algorithmic processes are
oriented towards the collective publicness (or social goods), and we refer to the algorithmic processes dedicated to the
individual as the category of individual goods. The social goods category is divided into the subcategories societal
frame and collective goods.
This taxonomy structures the public/publicness as a dimension in its entirety as a complex structure which cannot
be reduced to opinions and information but rather includes collective goods on the one hand and looks at
individual and collective interactions on the other. This offers a better ethical contextualization for working out
differentiated ethical criteria that highlight a technology neutral, values-oriented approach.