The recent release of ChatGPT has gained huge attention and discussion worldwide, with responsible AI being a key topic of discussion. How can we ensure that AI systems, including ChatGPT, are developed and adopted in a responsible way? To tackle the responsible AI challenges, various ethical principles have been released by governments, organisations, and companies. However, those principles are very abstract and not practical enough. Further, significant efforts have been put on algorithm-level solutions that only address a narrow set of principles, such as fairness and privacy. To fill the gap, we adopt a pattern-oriented responsible AI engineering approach and build a Responsible AI Pattern Catalogue to operationalise responsible AI from a system perspective. In this article, we first summarise the major challenges in operationalising responsible AI at scale and introduce how we use the Responsible AI Pattern Catalogue to address those challenges. We then examine the risks at each stage of the chatbot development process and recommend pattern-driven mitigations to evaluate the the usefulness of the Responsible AI Pattern Catalogue in a real-world setting.

翻译：ChatGPT的近期发布在全球范围内引发了广泛关注和讨论，其中负责任AI成为关键议题。如何确保包括ChatGPT在内的AI系统以负责任的方式被开发和采用？为应对负责任AI的挑战，各国政府、组织及企业已发布多种伦理原则。然而，这些原则过于抽象且缺乏实践性。此外，现有研究主要集中在仅解决公平性和隐私等少数原则的算法层面解决方案上。为弥补这一空白，我们采用面向模式的负责任AI工程方法，构建了"负责任AI模式目录"，从系统视角将负责任AI付诸实践。本文首先总结了大规模实施负责任AI的主要挑战，并介绍如何运用该模式目录应对这些挑战。随后，我们分析了聊天机器人开发各阶段的风险，并提出基于模式驱动的缓解措施，以评估该模式目录在实际场景中的有效性。