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The paper investigates how visualization can cause misinterpretation of data, emphasizing the need to embed ethics in analytics.

March 24, 2026Iconic Research and Engineering JournalsOpen Access

Ethical Visualization and Responsible Analytics: Preventing Misinterpretation in Data-Driven Decision Systems

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This analysis identifies ethical risks of data visualization, suggesting frameworks to improve decision-making transparency and responsibility.

The paper investigates how visualization can cause misinterpretation of data, emphasizing the need to embed ethics in analytics.
Systematic examination of contemporary visualization practices
Interdisciplinary literature review from data science and cognitive psychology
Proposal of an ethical governance framework for visual analytics
Identified how design choices lead to biased understandings of data
Showed that misleading visuals can harm organizational and societal contexts
Proposed a structured ethical framework for responsible data visualization practices

Gbolahan Adebayo (2026) studied this question.

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This analysis identifies ethical risks of data visualization, suggesting frameworks to improve decision-making transparency and responsibility.