用四阶段评估法让AI伦理落地，推动技术团队与伦理专家对话。
Ethics Readiness of Artificial Intelligence: A Practical Evaluation Method
- 将伦理原则转为可操作的提示与检查项，嵌入真实应用场景。
- 通过动态树状问卷评估，实现对伦理实践进展的追踪。
- 适用于需强化伦理设计的AI项目，尤其适合工程与伦理协同场景。
我们提出伦理就绪度（ERLs），一种四级、迭代的评估方法，用于追踪人工智能系统设计中伦理反思的实施情况。ERLs通过将伦理价值转化为具体的应用场景中的提示、检查点和控制措施，弥合了高层伦理原则与日常工程实践之间的差距。评估基于上下文相关的指标构建的动态树状问卷，确保与技术和应用领域的相关性。该工具不仅是管理工具，还能促进伦理专家与技术团队之间的结构化对话；其评分系统有助于跟踪进度。我们通过两个案例研究验证该方法：执法用AI人脸画像生成器和协作工业机器人。ERL工具有效推动了具体的设计变更，促使从狭隘的技术解决方案主义转向更具反思性的‘伦理先行’设计思维。
原文摘要 · Abstract (English)
We present Ethics Readiness Levels (ERLs), a four-level, iterative method to track how ethical reflection is implemented in the design of AI systems. ERLs bridge high-level ethical principles and everyday engineering by turning ethical values into concrete prompts, checks, and controls within real use cases. The evaluation is conducted using a dynamic, tree-like questionnaire built from context-specific indicators, ensuring relevance to the technology and application domain. Beyond being a managerial tool, ERLs help facilitate a structured dialogue between ethics experts and technical teams, while our scoring system helps track progress over time. We demonstrate the methodology through two case studies: an AI facial sketch generator for law enforcement and a collaborative industrial robot. The ERL tool effectively catalyzes concrete design changes and promotes a shift from narrow technological solutionism to a more reflective, ethics-by-design mindset.
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