Michael Miller

Del Santo and Gisin have recently argued that classical mechanics exhibits indeterminacy and that by treating the observables of classical mechanics with real number precision we introduce hidden variables that restore determinacy. In this article we introduce the conceptual machinery required to critically evaluate these claims. We present a characterization of indeterminacy which can capture both quantum indeterminacy and the classical indeterminacy Del Santo and Gisin propose. This allows us to show that there is an important difference between the two: their classical indeterminacy can be resolved with hidden variables in a manner which is not possible for quantum indeterminacy.

The Catholic moral tradition has a rich foundation that applies broadly to encompass all areas of human experience. Yet, there is comparatively little in Catholic thought on the ethics of the collection and use of data, especially in healthcare. We provide here a brief overview of terminology, concepts, and applications of data in the context of healthcare, summarize relevant theological principles and themes (including the Vatican’s Rome Call for AI Ethics), and offer key questions for ethicists and data managers to consider as they analyze ethical implications pertinent to data governance and data management.