{
  "id": 7361,
  "url": "https://arxiv.org/abs/2604.03256v1",
  "title": "Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education",
  "summary": "Students learning programming exercise agency in deciding when and how to use GenAI tools like ChatGPT. However, this agency is often implicit and shaped by deadline pressure and peer behavior rather than explicit and conscious learning goals. We designed a GenAI Contract grounded in harm reduction and self-regulated learning theory to scaffold intentional decision-making: students articulated personal learning goals, created usage guidelines, and reflected on alignment at strategic points acros",
  "authors": "Aadarsh Padiyath, Jessica Shen, Barbara Ericson",
  "category": "research",
  "topics": "regulation,safety-alignment,children-education",
  "orgs": "openai",
  "regions": null,
  "published_at": "2026-03-11T21:08:24.000Z",
  "fetched_at": "2026-07-14T16:33:08.016Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7361",
  "original_url": "https://arxiv.org/abs/2604.03256v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}