使用人工智能的痴呆症遗嘱能力评估:前景和挑战
Alexandra Economou1, John Kontos2
1Department of Psychology, School of Philosophy, National and Kapodistrian University of Athens, Athens, Greece.
Frontiers in psychiatry
|June 16, 2023
概括
使用人工智能 (AI) 可以改进遗嘱能力评估. 该框架提出了一个AI决策支持工具,将可解释AI (XAI) 纳入其中,以进行更透明的评估.
科学领域:
- 法医精神病学 法医精神病学
- 认知神经科学 认知神经科学
- 法律能力评估 法律能力评估
背景情况:
- 遗嘱能力 (TC) 对于有效的遗嘱至关重要,由于人口老龄化和认知能力下降,其重要性越来越大.
- 目前的TC评估,基于银行诉古德菲洛标准,是主观的,不仅仅依赖于认知障碍.
- 情况的复杂性需要对遗嘱者的情况进行个性化评估.
研究的目的:
- 为遗嘱能力评估提供人工智能驱动的决策支持工具提出框架.
- 解决AI在法医精神病学中的解释性挑战,特别是关于GDPR.
- 将可解释的AI (XAI) 整合到能力评估工具中.
主要方法:
- 为人工智能决策支持工具制定框架.
- 整合可解释的人工智能 (XAI) 原则.
- 专注于适应TC评估的统计机器学习模型.
主要成果:
- 一个拟议的AI辅助TC评估框架.
- 强调可解释的AI (XAI),以确保透明度和合规性.
- 更多客观和细致的能力评估的潜力.
结论:
- 人工智能,特别是XAI,为增强遗嘱能力评估提供了一个有希望的途径.
- 拟议的框架旨在提高客观性,并解决AI驱动的法律能力评估中的GDPR问题.
- 需要进一步的研究和开发,以在法医精神病学中实施AI工具,以评估能力.
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