  Digitalization efforts are rapidly spreading across societies, challenging
new and important ethical issues that arise from technological development.
Software developers, designers and managerial decision-makers are ever more
expected to consider ethical values and conduct normative evaluations when
building digital products. Yet, when one looks for guidance in the academic
literature one encounters a plethora of branches of applied ethics. Depending
on the context of the system that is to be developed, interesting subfields
like big data ethics, machine ethics, information ethics, AI ethics or computer
ethics (to only name a few) may present themselves. In this paper we want to
offer assistance to any member of a development team by giving a clear and
brief introduction into two fields of ethical endeavor (normative ethics and
applied ethics), describing how they are related to each other and, finally,
provide an ordering of the different branches of applied ethics (big data
ethics, machine ethics, information ethics, AI ethics or computer ethics etc.)
which have gained traction over the last years. Finally, we discuss an example
in the domain of facial recognition software in the domain of medicine to
illustrate how this process of normative analysis might be conducted.
