A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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A systematic review and interview study characterize creativity in visualization design, finding that design processes are undervalued compared to final artifacts with ideation as a universal bottleneck.
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Characterizing Creativity in Data Visualization: Reflections and Future Directions
A systematic review and interview study characterize creativity in visualization design, finding that design processes are undervalued compared to final artifacts with ideation as a universal bottleneck.