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Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes

机译:机器学习工具的福利,含义和道德问题服务于心理健康的目的

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In recent years. Healthcare and Mental Health have been in the spotlight for the creation of tools using Artificial Intelligence (AI). Mental Health technologies have proliferated in the last years, from social robotics to self-help tools and internet-based intervention programs. In particular, machine learning algorithms have been embedded into applications, for example, to provide a probability or classification regarding risk behaviours (e.g., suicide prevention tools). This paper reflects on the use of AI applied in mental healthcare tools, to assist clinicians in diagnosis, differential diagnosis and monitoring of patients with brain-related disorders. Benefits regarding the use of these technologies in mental healthcare will be discussed as well as some limitations and ethical concerns.
机译:最近几年。 医疗保健和心理健康一直在聚焦中使用人工智能(AI)的工具。 心理健康技术在过去几年中增殖,从社会机器人到自助工具和基于互联网的干预计划。 特别地,例如,已经嵌入到应用程序中的机器学习算法,以提供关于风险行为的概率或分类(例如,自杀预防工具)。 本文反映了使用AI在精神医疗保健工具中使用的AI,协助临床医生在诊断,鉴别诊断和监测脑相关疾病的患者中。 将讨论关于使用这些技术在精神医疗保健中的利益以及一些局限性和伦理问题。

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