Ethical awareness training for ethical decision-making by future producers of infographic data visualisations

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Abstract

The infographic producer needs to keep the user in mind when creating infographics, as any misleading information can be unethical and affect users’ decision-making. In our study, we provided ethical awareness training to data science students on five ethical principles adapted from the AI4People framework for contemplating and applying these principles to infographic scenarios with ethical dilemmas tied to each ethical principle. We measured students' ethical sensitivity using two infographics during the pre-training and two in the post-training. The McNemar test showed statistically significant (p<0.05) results for pre-training infographics 1 and 2 compared with post-training infographic 1. Pre-training infographic 1 was statistically significant in the opposite direction compared with post-raining infographic 2 and was not statistically significantly different between pre-training infographic 2 and post-training infographic 2, possibly due to fatigue. From our findings, we infer that ethical training was beneficial for infographics with fewer data visualisations and narratives.
Original languageEnglish
Title of host publicationACIS 2024 proceedings
Place of PublicationAtlanta, US
PublisherAssociation for Information Systems
Pages1-15
Number of pages15
Publication statusPublished - 2024
EventAustralasian Conference on Information Systems 2024
: Digital Futures for a Sustainable Society
- University of Canberra, Canberra, Australia
Duration: 4 Dec 20246 Dec 2024
Conference number: 35th
https://acis.aaisnet.org/acis2024/

Conference

ConferenceAustralasian Conference on Information Systems 2024
Abbreviated titleACIS 2024
Country/TerritoryAustralia
CityCanberra
Period4/12/246/12/24
Internet address

Keywords

  • data science ethics
  • AI4People ethical principles
  • higher education
  • Infographics
  • data visualisation

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