AI-based decision-making tools are rapidly spreading across a range of real-world, complex domains like healthcare, criminal justice, and child welfare. A growing body of research has called for increased scrutiny around the validity of AI system designs. However, in real-world settings, it is often not possible to fully address questions around the validity of an AI tool without also considering the design of associated organizational and public policies. Yet, considerations around how an AI tool may interface with policy are often only discussed retrospectively, after the tool is designed or deployed. In this short position paper, we discuss opportunities to promote multi-stakeholder deliberations around the design of AI-based technologies and associated policies, at the earliest stages of a new project.

翻译：基于AI的决策工具正迅速应用于医疗、刑事司法和儿童福利等一系列现实复杂领域。越来越多的研究呼吁加强对AI系统设计有效性的审查。然而，在现实环境中，若不考虑相关组织与公共政策的设计，往往难以全面解决AI工具的有效性问题。然而，关于AI工具如何与政策交互的考量，通常仅在工具设计或部署之后才进行回溯性讨论。在这篇简短的观点论文中，我们探讨了在新项目的最早阶段，促进围绕AI技术及相关政策设计的多方利益相关者讨论的机遇。