Ethical machine decisions and the input-selection problem

Abstract

This article is about the role of factual uncertainty for moral decision-making as it concerns the ethics of machine decision-making (i.e., decisions by AI systems, such as autonomous vehicles, autonomous robots, or decision support systems). The view that is defended here is that factual uncertainties require a normative evaluation and that ethics of machine decision faces a triple-edged problem, which concerns what a machine ought to do, given its technical constraints, what decisional uncertainty is acceptable, and what trade-offs are acceptable to decrease the decisional uncertainty.