Data Annotations as Pedagogical Hints: From Subjective Labels to Critical Thinking
Machine learning courses often use pre-labeled datasets, hiding the subjectivity of human annotation. This creates students with an overly trusting view of AI data and models, undervaluing interpretive diversity. We investigated whether manual data annotation tasks teach students about subjective labeling. Study Design: An annotation activity was implemented at two universities: Fontys (Netherlands) and IT University Copenhagen (Denmark). Students annotated skin lesion images for hair coverage o
Record details
Published: 22 July 2026
Source: arXiv
Category: Research
Topics: Children & education · Finance, VC & PE
Retrieved: 23 July 2026
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ethics.ai (22 July 2026), “Data Annotations as Pedagogical Hints: From Subjective Labels to Critical Thinking,” evidence record 12681, https://ethics.ai/record/12681 (originally published by arXiv).
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