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：将道德实践融入人工智能（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伦理涉及将道德原则应用于AI系统的整个生命周期，这对于减轻与AI相关的潜在风险和危害（如算法偏见）必不可少。为实现这一目标，负责任设计模式（RDPs）对于机器学习（ML）管道保证伦理和公平结果至关重要。本文提出了一个综合框架，将RDPs融入ML管道，以降低风险并确保AI系统的道德开发。我们的框架包含通过调查AI伦理与数据管理专家识别出的新型负责任AI设计模式，并经过真实场景验证及专家反馈完善。该框架可指导AI开发者、数据科学家及政策制定者在AI开发中实施道德实践，并在生产环境中部署负责任的AI系统。