探索人工智能在协助自杀案件的分类,分析和生成案例报告中的作用:可行性和伦理含义
Giovanni Spitale1, Gerold Schneider2, Federico Germani1
1Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zürich, Switzerland.
Frontiers in artificial intelligence
|January 2, 2024
概括
这项研究探讨了使用人工智能来分类协助自杀报告和生成案例. 它评估了人工智能在敏感决策中的可行性和伦理性,比如生命终端护理.
科学领域:
- 生物伦理学生物伦理学
- 人工智能的人工智能
- 医疗法 法律 医疗法
背景情况:
- 协助自杀的程序在荷兰受到严格的法律审查.
- 越来越多的人工智能在判断中的应用需要探索其在敏感医疗环境中的作用.
研究的目的:
- 调查使用人工智能模型来分类辅助自杀案例报告的可行性.
- 微调一个大型语言模型,以生成可信的辅助自杀场景.
- 批判性地评估人工智能在辅助自杀决策中的伦理含义.
主要方法:
- 收集了来自荷兰区域生物伦理委员会72份英语案例报告.
- 训练了多个人工智能模型,以根据荷兰"应要求终止生命和协助自杀 (审查程序) 法"进行分类.
- 微调了一个OpenAI GPT-3.5-turbo模型用于案例生成.
主要成果:
- 人工智能模型经过训练,根据法律类别对协助自杀案例报告进行分类.
- 一个大型的语言模型成功地被微调以生成虚构的辅助自杀案例.
- 该研究探讨了人工智能在这个领域的可行性和伦理考虑.
结论:
- 人工智能显示出对协助自杀报告的分类和生成案例的潜力.
- 需要对人工智能在辅助自杀决策中的可行性和伦理性进行进一步的批判性评估.
- 这项研究有助于理解AI在敏感的终身护理决策中的潜在作用.
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