Data Ethics, AI, and Accompaniment: The Dangers of Depersonalization in Catholic Health Care

Abstract

Health-care systems use AI-driven data analytics to target high-cost patients for early interventions. Many ethicists see these programs as enacting a preferential option for the poor. Ethnographic studies, however, find that their data analytic framework emphasizes efficiency, cost containment, and constant evaluation of patients. Ongoing evaluation and surveillance can undermine other goals of Catholic health care like personal encounter and accompaniment. While targeted care programs can be implemented well, the use of AI in data analytics to serve the poor creates dangers of depersonalization.