{
  "id": 5823,
  "url": "https://arxiv.org/abs/2604.14254v1",
  "title": "Formalizing Kantian Ethics: Formula of the Universal Law Logic (FULL)",
  "summary": "The field of machine ethics aims to build Artificial Moral Agents (AMAs) to better understand morality and make AI agents safer. To do so, many approaches encode human moral intuition as a set of axioms on actions e.g., do not harm, you must help others. However, this introduces (at least) two limitations for future AMAs. First, it does not consider the agent's purposes in performing the action. Second, it assumes that we humans can enumerate our moral intuition. This paper explores formalizing ",
  "authors": "Taylor Olson",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-15T14:30:40.000Z",
  "fetched_at": "2026-07-14T16:32:02.060Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5823",
  "original_url": "https://arxiv.org/abs/2604.14254v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}