相关实验视频
Updated: Jul 8, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
概括
金融监管机构正在探索规则书的机器可读代码. 然而,人类的解释对于有效的数据驱动治理,模拟推理和监管合法性至关重要.
科学领域:
- 金融规章制度 金融规章制度 金融规章制度
- 计算法 计算法 计算法
- 人工智能伦理学 人工智能伦理学
背景情况:
- 英国金融监管机构正在将规则书转换为机器可读的代码.
- 目标是通过算法治理提高效率并降低成本.
- 这种转变假定算法可以完全取代人类的解释.
研究的目的:
- 倡导在金融治理中维护和增强人类解释能力.
- 检查将规则集翻译为可执行代码的局限性.
- 探索机器在监管环境中的模拟推理中所面临的挑战.
主要方法:
- 分析金融规则书内容的可转化为代码的分析.
- 在模拟推理中检查机器功能.
- 对人类解释在监管合法性中的作用的程序性评估.
主要成果:
- 规则集内容的可转换到机器可执行代码的可转换性有限.
- 机器在规范中所需的全方位模拟推理方面扎.
- 维护人类解释对于有效的数据驱动治理至关重要.
结论:
- 人类的解释对于数据驱动的金融治理的成功至关重要.
- 由于代码翻译和推理的局限性,单独的算法方法是不够的.
- 提供了设计未来金融规则手册的建议,以整合人类和机器的能力.
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