Chance as a value for artificial intelligence

Deep learning techniques lead to fundamentally non-interpretable decisions made by the machine. Although such choices do not have an explanation, they impact the users in significant ways. If the ultimate innovator is a machine, what is the meaning of responsible conduct? I argue in a recent book that the capacity to extract an AI system from human judgment, by reducing transparency in favor of opacity, is an essential value in machine ethics. This can be achieved through the use of randomness, as illustrated with the example of the trolley dilemma. Methodologically, a comparison of common motives between technological setups and mythological narratives is used to achieve ethical insights.