The Ethics of Data Visualization

Author: Tricia Bisoux; Publisher: AACSB; Publication Year: 2019. The following article discusses how graphs can be highly misleading. As an ethical data scientist, it is important to both create visuals that convey the accurate information and not be a part of misinformation and also know how to interpret visuals well. It is important to be aware of biases when making graphs and to know when reading them, that they are not…

Cautionary Tales – Florence Nightingale and her Geeks Declare War on Death

Author: Tim Harford; Publisher: Tim Harford (Personal Website); Publication Year: 2021. The following article discusses how Florence Nightingale, the founder of modern nursing, famously used data visualization to communicate the impact of the Sanitary Commission’s work on the medical outcomes of soldiers. Although her thinking about sanitation was largely correct, her choice to use a rose diagram was somewhat unbecoming…

The Ethics of Data Visualization

Author: Peter Haferl; Publisher: Medium; Publication Year: 2019. The following article discusses how data science is not only about analyzing data and interpreting results, but also about telling a story around these results. Oftentimes, these stories include visualizations, that more clearly present the findings of an analysis. Haferl emphasizes the detail in which ethics are considered during the data analysis process, but…

Chapter 8: Data Science Ethics

Author: Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton; Publisher: Modern Data Science with R, 2nd edition; Publication Year: 2021. The following textbook chapter is about data ethics, but more specifically, a technical data science guide that puts so much emphasis on data ethics. The chapter begins by showing some clear examples of data visualizations being used to “lie with numbers,” such as inverting the y-axis to make an unfocused reader make…

Mapping AI and Data Ethics

Author: N/A; Publisher: The Ada Lovelace Institute; Publication Year: N/A. The following resource explains the major challenge in mapping AI and data ethics concerns what constitutes AI and data ethics in the first place. The issue is further complicated by the fact that much of the discussion about matters of ethical relevance does not fall under the label of ethics, and this may be especially true for…

AI in Banking: Survey Reveals Factors for Success | SAS

Author: N/A; Publisher: SAS Insights; Publication Year: N/A. The following post is about where AI is being implemented in banking, what it is being used for, and who is in charge of keeping an eye on the results. The post utilizes bar charts to illustrate the information. The post talks about how banks are currently in the experimental phases of AI implementation and how policies and…