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Updating a Code for Teaching Ethical Visualizations

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Title: Updating a Code for Teaching Ethical Visualizations
Language: English
Authors: William McHenry (ORCID 0000-0002-7910-2573)
Source: Journal of Management Education. 2024 48(6):1090-1120.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 31
Publication Date: 2024
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Ethics, Management Development, Business Administration Education, Visual Aids, Teaching Methods, Efficiency, Artificial Intelligence, Bias, Privacy, Personal Autonomy, Data Collection, Decision Making, COVID-19, Pandemics, Crisis Management, Graphs, News Reporting, Crime, Ethnicity, Users (Information), Mortality Rate, Public Agencies, Public Health
DOI: 10.1177/10525629241288266
ISSN: 1052-5629
1552-6658
Abstract: The prevalent paradigm for understanding what constitutes a 'good' data visualization, and what we are likely teaching business students, relates to a conventional wisdom of efficiency, clarity, transparency, and faithful representation of truth. Teaching about the ethics of visualizations seems to be largely absent from business school curricula. This paper suggests that business students who make and use visualizations should be taught to use a code of ethics for visualizations based not only on conventional wisdom, but also on ideas from the Machine Learning/AI and 'ethical visualizations' communities. Elaborating on Sheppard's code, the code suggested here incorporates ideas about bias, transparency, user agency, and privacy. Ethical awareness and practice become even more important as more data collection, processing, and visualization is shifted to Machine Learning and Generative AI. A threshold model is adapted to understand when visualization decisions require more scrutiny. Ideas from the code and the threshold model are used to analyze choices made by the CDC's COVID-19 Rapid Response Team for an early pandemic visualization that circulated widely beyond the initial report in which it appeared. This and other examples underscore the need for business professionals to consider their visualizations from the perspective of the code.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1448095
Database: ERIC
FullText Text:
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  Data: Updating a Code for Teaching Ethical Visualizations
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  Data: <searchLink fieldCode="AR" term="%22William+McHenry%22">William McHenry</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7910-2573">0000-0002-7910-2573</externalLink>)
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– Name: Abstract
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  Data: The prevalent paradigm for understanding what constitutes a 'good' data visualization, and what we are likely teaching business students, relates to a conventional wisdom of efficiency, clarity, transparency, and faithful representation of truth. Teaching about the ethics of visualizations seems to be largely absent from business school curricula. This paper suggests that business students who make and use visualizations should be taught to use a code of ethics for visualizations based not only on conventional wisdom, but also on ideas from the Machine Learning/AI and 'ethical visualizations' communities. Elaborating on Sheppard's code, the code suggested here incorporates ideas about bias, transparency, user agency, and privacy. Ethical awareness and practice become even more important as more data collection, processing, and visualization is shifted to Machine Learning and Generative AI. A threshold model is adapted to understand when visualization decisions require more scrutiny. Ideas from the code and the threshold model are used to analyze choices made by the CDC's COVID-19 Rapid Response Team for an early pandemic visualization that circulated widely beyond the initial report in which it appeared. This and other examples underscore the need for business professionals to consider their visualizations from the perspective of the code.
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        Value: 10.1177/10525629241288266
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        PageCount: 31
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    Subjects:
      – SubjectFull: Ethics
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      – SubjectFull: Management Development
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      – SubjectFull: Business Administration Education
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      – SubjectFull: Visual Aids
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      – SubjectFull: Teaching Methods
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      – SubjectFull: Efficiency
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      – SubjectFull: Pandemics
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      – SubjectFull: Crisis Management
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      – SubjectFull: Public Health
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      – TitleFull: Updating a Code for Teaching Ethical Visualizations
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              Y: 2024
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