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Ethical Dimensions of Visualization Research
Open accessAbstract
Visualizations have a potentially enormous influence on how data are used to make decisions across all areas of human endeavor. However, it is not clear how this power connects to ethical duties: what obligations do we have when it comes to visualizations and visual analytics systems, beyond our duties as scientists and engineers? Drawing on historical and contemporary examples, I address the moral components of the design and use of visualizations, identify some ongoing areas of visualization research with ethical dilemmas, and propose a set of additional moral obligations that we have as designers, builders, and researchers of visualizations.
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“Correll [9], referring to example data more generally, calls for selecting datasets that are of social import or impact as means for advocating for positive change.”
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Metadata
- Authors
- Correll, M.
- Affiliations
- Tableau Software (United States) (US)
- Corresponding author
- Correll, Michael
- ORCID
- Correll, Michael
- Venue
- Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2019-05-02
- Pages
- 1-13
- OpenAlex
- W2952342347
- Semantic Scholar
- 69b2495fe5093ae56a1ccbf9a9e55b87d677fec9
- Cited by
- 150
- References
- 99
- Citations by year
- 2026: 13 · 2025: 26 · 2024: 29 · 2023: 20 · 2022: 24 · 2021: 16 · 2020: 18 · 2019: 4
- FWCI
- 5.00
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Ethics in Business and Education
- Keywords
- visual analytics, moral obligation, data visualization design, ethical dilemmas, decision-making, professional ethics
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