{
  "id": 5489,
  "url": "https://arxiv.org/abs/2604.20805v1",
  "title": "Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem",
  "summary": "The value alignment problem for artificial intelligence (AI) is often framed as a purely technical or normative challenge, sometimes focused on hypothetical future systems. I argue that the problem is better understood as a structural question about governance: not whether an AI system is aligned in the abstract, but whether it is aligned enough, for whom, and at what cost. Drawing on the principal-agent framework from economics, this paper reconceptualises misalignment as arising along three in",
  "authors": "Travis LaCroix",
  "category": "research",
  "topics": "regulation,safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-22T17:36:52.000Z",
  "fetched_at": "2026-07-14T16:31:48.873Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5489",
  "original_url": "https://arxiv.org/abs/2604.20805v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}