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The ethical consequences of, constraints upon and regulation of algorithmsarguably represent the defining challenges of our age, asking us to reckon withthe rise of computational technologies whose potential to radicallytransforming social and individual orders and identity in unforeseen ways isalready being realised. Yet despite the multidisciplinary impact of thisalgorithmic turn, there remains some way to go in motivating thecrossdisciplinary collaboration that is crucial to advancing feasible proposalsfor the ethical design, implementation and regulation of algorithmic andautomated systems. In this work, we provide a framework to assistcross-disciplinary collaboration by presenting a Four C's Framework coveringkey computational considerations researchers across such diverse fields shouldconsider when approaching these questions: (i) computability, (ii) complexity,(iii) consistency and (iv) controllability. In addition, we provide examples ofhow insights from ethics, philosophy and population ethics are relevant to andtranslatable within sciences concerned with the study and design of algorithms.Our aim is to set out a framework which we believe is useful for fosteringcross-disciplinary understanding of pertinent issues in ethical algorithmicliterature which is relevant considering the feasibility of ethical algorithmicgovernance, especially the impact of computational constraints upon algorithmicgovernance.

Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research