{
  "id": 12681,
  "url": "https://arxiv.org/abs/2607.20149v1",
  "title": "Data Annotations as Pedagogical Hints: From Subjective Labels to Critical Thinking",
  "summary": "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",
  "authors": "Ralf Raumanns, Theresa Elstner, Louis Ferger-Andrews, Louise M. Carlsen, Martin Potthast, Gerard Schouten et al.",
  "category": "research",
  "topics": "children-education,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T13:51:56.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/12681",
  "original_url": "https://arxiv.org/abs/2607.20149v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}