Integrating ethical practices into the AI development process for artificial intelligence (AI) is essential to ensure safe, fair, and responsible operation. AI ethics involves applying ethical principles to the entire life cycle of AI systems. This is essential to mitigate potential risks and harms associated with AI, such as algorithm biases. To achieve this goal, responsible design patterns (RDPs) are critical for Machine Learning (ML) pipelines to guarantee ethical and fair outcomes. In this paper, we propose a comprehensive framework incorporating RDPs into ML pipelines to mitigate risks and ensure the ethical development of AI systems. Our framework comprises new responsible AI design patterns for ML pipelines identified through a survey of AI ethics and data management experts and validated through real-world scenarios with expert feedback. The framework guides AI developers, data scientists, and policy-makers to implement ethical practices in AI development and deploy responsible AI systems in production.

翻译：将伦理实践融入人工智能（AI）开发过程对于确保安全、公平和负责任的运行至关重要。AI伦理涉及将伦理原则贯穿AI系统的整个生命周期，这对于减轻AI可能带来的潜在风险与危害（如算法偏见）具有关键意义。为实现这一目标，针对机器学习流水线的责任设计模式（RDPs）对于保障伦理与公平结果至关重要。本文提出一个综合框架，将RDPs纳入ML流水线，以降低风险并确保AI系统的伦理发展。该框架包含通过调研AI伦理与数据管理专家而识别的新颖责任AI设计模式，并基于真实场景的专家反馈进行了验证。该框架旨在指导AI开发者、数据科学家及政策制定者在AI开发中践行伦理实践，并在生产环境中部署负责任的AI系统。