{
  "id": 1048,
  "url": "https://arxiv.org/abs/2606.14594v1",
  "title": "Regulating the Machine Contributor: Governance and Policy Alignment in Open Source",
  "summary": "AI-assisted software development has moved from line-level autocomplete to agents that can plan changes, edit files, and submit pull requests with limited human supervision. Open-source software, however, evolves through a process designed for humans: contributor agreements, codes of conduct, and review norms all assume a legally accountable person who can attest to provenance and answer reviewer questions. Autonomous and semi-autonomous AI contributors strain those assumptions, and the 2025-202",
  "authors": "Jassem Manita, Aziz Amari",
  "category": "research",
  "topics": "regulation,safety-alignment,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-12T16:14:32.000Z",
  "fetched_at": "2026-07-14T14:14:59.014Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1048",
  "original_url": "https://arxiv.org/abs/2606.14594v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}