Educating students about the ethical principles underlying the interpretation of infographics

Salma Banu Nazeer Khan*, Ayse Aysin Bilgin, Deborah Richards, Paul Formosa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
59 Downloads (Pure)

Abstract

Infographics are visual storytelling techniques used to communicate complex information. However, infographics can be misleading if they are not created ethically. When universities teach how to create infographics, they often do so without emphasizing the ethical issues underlying infographics. To address this gap, we designed a study to educate statistics and data science students about the ethics of infographics by using Rest model's three stages: awareness, orientation, and intention. Students' awareness of the ethical issues underlying infographics was captured before and after sensitizing them to five ethical principles derived from the AI4People's framework applied to a data science context. The students were then exposed to scenarios with ethical dilemmas. Their identification of the ethical principles in these scenarios was measured. The results showed a significant increase in students' awareness of the ethical issues underpinning the interpretation of infographics, suggesting that ethical training of current users and future designers would be beneficial.

Original languageEnglish
Pages (from-to)69-94
Number of pages26
JournalTeaching Statistics
Volume46
Issue number2
Early online date3 Jan 2024
DOIs
Publication statusPublished - 2024

Bibliographical note

Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • data science ethics
  • data visualisation
  • ethical AI
  • ethics
  • infographics
  • statistics education
  • teaching statistics

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