Researchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team's specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values.

翻译：研究人员呼吁数据科学家等技术从业者关注算法决策的影响及其伦理内涵。然而，与编程、统计和数据管理不同，伦理影响的讨论很少被纳入标准数据科学培训中。为弥补这一空白，我们设计并测试了一个名为"数据伦理应急演练（DEED）"的工具箱，旨在帮助数据科学团队讨论和反思其工作的伦理影响。DEED是一种虚构的伦理紧急场景角色扮演，该场景情境化地嵌入团队的具体工作场所与应用中。本文概述了DEED工具箱，并描述了与两个不同数据科学团队合作开展的三项迭代设计研究。研究结果表明，从业者可将角色扮演中的经验教训应用于现实情境，并揭示了DEED如何开启关于伦理与价值观的对话。