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绘制人工智能和临床实践在诊断和治疗精神障碍方面的哲学问题图。

Mapping out the philosophical questions of AI and clinical practice in diagnosing and treating mental disorders.

机构信息

Turku Institute for Advanced Studies, University of Turku, Turku, Finland.

Department of Philosophy, Contemporary History and Political Science/Philosophy, University of Turku, Turku, Finland.

出版信息

J Eval Clin Pract. 2021 Jun;27(3):478-484. doi: 10.1111/jep.13485. Epub 2020 Sep 30.

Abstract

How to classify the human condition? This is one of the main problems psychiatry has struggled with since the first diagnostic systems. The furore over the recent editions of the diagnostic systems DSM-5 and ICD-11 has evidenced it to still pose a wicked problem. Recent advances in techniques and methods of artificial intelligence and computing power which allows for the analysis of large data sets have been proposed as a possible solution for this and other problems in classification, diagnosing, and treating mental disorders. However, mental disorders contain some specific inherent features, which require critical consideration and analysis. The promises of AI for mental disorders are threatened by the unmeasurable aspects of mental disorders, and for this reason the use of AI may lead to ethically and practically undesirable consequences in its effective processing. We consider such novel and unique questions AI presents for mental health disorders in detail and evaluate potential novel, AI-specific, ethical implications.

摘要

如何对人类状况进行分类?这是精神病学自第一个诊断系统以来一直努力解决的主要问题之一。最近,DSM-5 和 ICD-11 诊断系统的新版本引起了轩然大波,这表明它仍然是一个棘手的问题。最近在人工智能技术和计算能力方面的进步,使得对大型数据集进行分析成为可能,被认为是解决分类、诊断和治疗精神障碍等问题的一种可能方法。然而,精神障碍包含一些特定的内在特征,这需要进行批判性的考虑和分析。精神障碍的不可测量方面威胁着人工智能的承诺,因此,人工智能的使用可能会在其有效处理方面导致伦理和实际的不良后果。我们详细考虑了人工智能为精神健康障碍带来的新颖而独特的问题,并评估了潜在的新颖的、特定于人工智能的伦理影响。

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