{
  "id": 4114,
  "url": "https://arxiv.org/abs/2605.18423v1",
  "title": "REBAR: Reference Ethical Benchmark for Autonomy Readiness",
  "summary": "As autonomous systems grow more advanced, objective metrics to evaluate their ethical and legal compliance are critical for informing end users of their limitations and ensuring accountability of those who misuse them. Current ethical embodied AI frameworks remain mostly qualitative, focusing on system design (through safety guardrails or targeted red teaming), and the realized guardrails often directly disallow unsafe behavior without providing the user with an override or interpretable reason.",
  "authors": "Jonathan Diller, David Barnes, Rebekah Bogdanoff, Rhett Collier, Roddy Collins, Keith Fieldhouse et al.",
  "category": "research",
  "topics": "regulation,safety-alignment,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-18T13:56:19.000Z",
  "fetched_at": "2026-07-14T16:30:45.939Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4114",
  "original_url": "https://arxiv.org/abs/2605.18423v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}