  The ethical consequences of, constraints upon and regulation of algorithms
arguably represent the defining challenges of our age, asking us to reckon with
the rise of computational technologies whose potential to radically
transforming social and individual orders and identity in unforeseen ways is
already being realised. Yet despite the multidisciplinary impact of this
algorithmic turn, there remains some way to go in motivating the
crossdisciplinary collaboration that is crucial to advancing feasible proposals
for the ethical design, implementation and regulation of algorithmic and
automated systems. In this work, we provide a framework to assist
cross-disciplinary collaboration by presenting a Four C's Framework covering
key computational considerations researchers across such diverse fields should
consider when approaching these questions: (i) computability, (ii) complexity,
(iii) consistency and (iv) controllability. In addition, we provide examples of
how insights from ethics, philosophy and population ethics are relevant to and
translatable within sciences concerned with the study and design of algorithms.
Our aim is to set out a framework which we believe is useful for fostering
cross-disciplinary understanding of pertinent issues in ethical algorithmic
literature which is relevant considering the feasibility of ethical algorithmic
governance, especially the impact of computational constraints upon algorithmic
governance.
