论文标题
针对AI风险的三条防御线
Three lines of defense against risks from AI
论文作者
论文摘要
开发和部署人工智能（AI）系统的组织需要管理相关风险 - 出于经济，法律和道德原因。但是，并不总是清楚谁负责AI风险管理。在许多行业中被认为是最佳实践的三条防御线（3LOD）模型可能会提供解决方案。这是一个风险管理框架，可帮助组织分配和协调风险管理角色和职责。在本文中，我建议AI公司实施该模型的方法。我还讨论了该模型如何帮助降低AI的风险：它可以识别和缩小风险覆盖的差距，提高风险管理实践的有效性，并使董事会能够更有效地监督管理层。该文章旨在为领先的AI公司，监管机构和标准设定机构的决策者提供信息。
Organizations that develop and deploy artificial intelligence (AI) systems need to manage the associated risks - for economic, legal, and ethical reasons. However, it is not always clear who is responsible for AI risk management. The Three Lines of Defense (3LoD) model, which is considered best practice in many industries, might offer a solution. It is a risk management framework that helps organizations to assign and coordinate risk management roles and responsibilities. In this article, I suggest ways in which AI companies could implement the model. I also discuss how the model could help reduce risks from AI: it could identify and close gaps in risk coverage, increase the effectiveness of risk management practices, and enable the board of directors to oversee management more effectively. The article is intended to inform decision-makers at leading AI companies, regulators, and standard-setting bodies.
