Capacitas Ex Machina: Are Computerised Assessmets of Mental Capacity a Benchmark or 'Red Line' for Artificial Intelligence?

Christopher Markou, Lily Hands
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引用次数: 1

Abstract

This paper traces the history of computers in medicine, focusing on the rise of Expert Systems (ES) in the mid-20th century, to the rise of connectionist AI research in its latter half, and ultimately the development of Automated Mental State Detection (AMSD), fMRI scanning, and human brain interfaces. Following the critique of Joseph Weizenbaum in Computer Power and Human Reason (1976), the paper examines theoretical, practical, and ethical problems for implementing these systems in the real world, and how mental health law and psychiatry are likely to be impacted by near term technological advances which will increasingly 'objectify' the diagnosis and treatment of mental disorders. It concludes with a discussion for how computational reasoning could--and indeed should--operate in the context of mental capacity decisions in England and Wales, and suggests that the use of machines to assess mental capacity should be a "Red Line" for the ingress of AI and related technologies. It concludes with reflections on the legal implications of this claim, and identifies opportunities for further research.
机器能力:计算机化的智力评估是人工智能的基准还是“红线”?
本文追溯了计算机在医学领域的历史,重点关注20世纪中期专家系统(ES)的兴起,到20世纪后半叶连接主义人工智能研究的兴起,最后是自动精神状态检测(AMSD)、功能磁共振成像(fMRI)扫描和人脑接口的发展。继Joseph Weizenbaum在《计算机能力与人类理性》(1976)中的批评之后,本文探讨了在现实世界中实施这些系统的理论、实践和伦理问题,以及精神卫生法和精神病学如何可能受到近期技术进步的影响,这些技术进步将日益“客观化”精神障碍的诊断和治疗。报告最后讨论了计算推理在英格兰和威尔士的心理能力决策背景下可以(实际上应该)如何运作,并建议使用机器评估心理能力应该是人工智能和相关技术进入的“红线”。它总结了对这一主张的法律含义的反思,并确定了进一步研究的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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