{
  "id": 4568,
  "url": "https://arxiv.org/abs/2605.10310v3",
  "title": "Positive Alignment: Artificial Intelligence for Human Flourishing",
  "summary": "Existing alignment research is dominated by concerns about safety and preventing harm: safeguards, controllability, and compliance. This paradigm of alignment parallels early psychology's focus on mental illness: necessary but incomplete. What we call Positive Alignment is the development of AI systems that (i) actively support human and ecological flourishing in a pluralistic, polycentric, context-sensitive, and user-authored way while (ii) remaining safe and cooperative. It is a distinct and n",
  "authors": "Ruben Laukkonen, Seb Krier, Chloé Bakalar, Shamil Chandaria, Morten Kringelbach, Adam Elwood et al.",
  "category": "research",
  "topics": "regulation,safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-11T10:11:08.000Z",
  "fetched_at": "2026-07-14T16:31:08.352Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4568",
  "original_url": "https://arxiv.org/abs/2605.10310v3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}