Teaching Data Science Ethics

Supplementary materials

In our paper, Integrating Data Science Ethics Into an Undergraduate Major: A Case Study (Baumer et al. 2022), we describe six ethics modules that can be incorporated into various classes. These modules are summarized in Table 1 of the paper, which is reproduced below. This table connects each module to the relevant categories as defined by Floridi and Taddeo (2016) and the taxonomy of learning defined by Bloom et al. (1956). Hyperlinks will take you to the actual teaching material.

Summary of ethical modules described. Categories correspond to those identified by Floridi and Taddeo. ‘Bloom’ refers to Bloom’s taxonomy.

Section	Topic	Categories	Bloom
4.1	OkCupid	data	Application
4.2	StitchFix	algorithms	Application
4.3	Grey’s Anatomy	practices, data	Application
4.4	Copywriting music	practices	Evaluation
4.5	Coding race	practices, data	Synthesis
4.6	Weapons of Math Destruction	practices, algorithms	Evaluation

References

Baumer, Benjamin S, Randi L Garcia, Albert Y Kim, Katherine M Kinnaird, and Miles Q Ott. 2022. “Integrating Data Science Ethics into an Undergraduate Major: A Case Study.” Journal of Statistics and Data Science Education. https://arxiv.org/abs/2001.07649.

Bloom, Benjamin S et al. 1956. “Taxonomy of Educational Objectives. Vol. 1: Cognitive Domain.” Edited by Benjamin S Bloom et al. New York: McKay 20 (24): 1.

Floridi, Luciano, and Mariarosaria Taddeo. 2016. “What Is Data Ethics?” Philosophical Transactions of the Royal Society A, December. https://doi.org/10.1098/rsta.2016.0360.