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.

中文翻译：

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数据伦理、人工智能和伴奏：天主教医疗保健中人格解体的危险

医疗保健系统使用人工智能驱动的数据分析来针对高成本患者进行早期干预。许多伦理学家认为这些计划为穷人制定了优先选择。然而，民族志研究发现，他们的数据分析框架强调效率、成本控制和对患者的持续评估。持续的评估和监视可能会破坏天主教医疗保健的其他目标，例如个人接触和陪伴。虽然可以很好地实施有针对性的护理计划，但在数据分析中使用人工智能为穷人服务会造成人格解体的危险。