{
  "id": 6407,
  "url": "https://arxiv.org/abs/2604.02783v1",
  "title": "Disrupting Cognitive Passivity: Rethinking AI-Assisted Data Literacy through Cognitive Alignment",
  "summary": "AI chatbots are increasingly stepping into roles as collaborators or teachers in analyzing, visualizing, and reasoning through data and domain problem. Yet, AI's default assistant mode with its comprehensive and one-off responses may undermine opportunities for practitioners to develop literacy through their own thinking, inducing cognitive passivity. Drawing on evidence from empirical studies and theories, we argue that disrupting cognitive passivity necessitates a nuanced approach: rather than",
  "authors": "Yongsu Ahn, Nam Wook Kim, Benjamin Bach",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-03T06:47:55.000Z",
  "fetched_at": "2026-07-14T16:32:28.609Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6407",
  "original_url": "https://arxiv.org/abs/2604.02783v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}