他们疯了吗? 在法医精神病学中使用人工智能的外部主义挑战
Georg Starke1,2,3, Ambra D'Imperio1,4,5, Marcello Ienca1,2
1Faculty of Medicine, Institute for History and Ethics of Medicine, Technical University of Munich, Munich, Germany.
Frontiers in psychiatry
|September 11, 2023
概括
人工智能 (AI) 和机器学习 (ML) 可以帮助法医精神病学,但在预测未来的暴力时,会出现道德挑战. 人工智能模型必须整合社会和环境因素,而不仅仅是神经生物学,以实现负责任的应用.
科学领域:
- 法医精神病学 法医精神病学
- 人工智能的人工智能
- 机器学习 机器学习
- 心理病理学 心理病理学
背景情况:
- 机器学习 (ML) 和人工智能 (AI) 为法医精神病学中的客观评估提供了潜力.
- 人工智能驱动的未来暴力和重犯的预测带来了重大的伦理,社会和法律挑战.
- 外向主义观点强调精神疾病与环境和社会背景的纠.
研究的目的:
- 探索AI和ML在法医精神病学中的伦理含义.
- 倡导将社会和环境因素整合到AI预测模型中.
- 为在法医精神病学中开发负责任的人工智能系统提供实际指导.
主要方法:
- 对外学家关于精神疾病的描述进行分析.
- 在法医精神病学中对AI/ML应用的概念检查.
- 在预测建模中的伦理考虑的讨论.
主要成果:
- 法医精神病学中的AI预测必须超越神经生物学.
- 社会和环境因素对于准确和道德的风险评估至关重要.
- 当前的人工智能方法可能会忽视对行为的关键上下文影响.
结论:
- 法医精神病学中的预测性人工智能需要采用整体方法,包括社会和环境数据.
- 人工智能系统的设计必须优先考虑数据收集,方法选择和可解释性.
- 负责任的AI实施需要仔细考虑个人与环境之间的相互作用.
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