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.

研究人员强调技术从业人员，如数据科学家，要考虑算法决策的影响和道德问题。然而，与编程、统计和数据管理不同，对道德问题的讨论很少包含在标准的数据科学培训中。为了弥补这一差距，我们设计和测试了一个名为数据伦理应急演练（DEED）的工具箱，帮助数据科学团队讨论和反思他们工作的道德问题。DEED是一个虚构的道德突发事件情景的角色扮演，具体地与团队所在的工作场所和应用相关。本文概述了DEED工具箱，并描述了与两个不同的数据科学团队进行过的三项研究，这些研究迭代地塑造了工具箱的设计。我们的研究结果表明，从角色扮演中学到的经验可以应用到实际情况中，并且DEED为伦理和价值观的讨论开辟了新的空间。

数据伦理危机演练：为行业团队讨论负责任人工智能的工具箱