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：最近发布的《查特格特》引起了全世界的极大关注和讨论,负责任的AI是一个关键的讨论主题。我们如何确保包括查特格特特在内的AI系统以负责任的方式得到发展和通过?为了应对负责任的AI挑战,各国政府、组织和公司发布了各种道德原则,然而,这些原则是非常抽象的,不够实用。此外,对只处理一套狭隘原则的算法层面的解决办法,如公平和隐私问题作出了重大努力。为了填补这一空白,我们采用了一种面向模式的负责的AI工程方法,并建立了一个负责的AI模式目录,以便从系统的角度实施负责任的AI。在本条中,我们首先总结了在大规模实施负责任的AI方面所面临的重大挑战,并介绍了我们如何利用负责任的AI模式目录来应对这些挑战。然后我们审视了聊天室发展进程每个阶段的风险,并建议以模式驱动的缓解措施,以评估负责任的AI模式目录在现实环境中的效用。</s>