Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

2024. Vanessa Hanschke, Dylan Rees, Merve Alanyali, David Hopkinson & Paul Marshall
Proceedings of the CHI Conference on Human Factors in Computing Systems.

Abstract

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.

Read the full paper here ›

Citation

Hanschke, V. A., Rees, D., Alanyali, M., Hopkinson, D., & Marshall, P. (2024). Data ethics emergency drill: a toolbox for discussing responsible ai for industry teams. Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1–17).

BibTeX

@inproceedings{hanschke2024data,
  title={Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams},
  author={Hanschke, Vanessa Aisyahsari and Rees, Dylan and Alanyali, Merve and Hopkinson, David and Marshall, Paul},
  booktitle={Proceedings of the CHI Conference on Human Factors in Computing Systems},
  pages={1--17},
  year={2024}
}