{
  "id": 14097,
  "url": "https://arxiv.org/abs/2607.25648",
  "title": "Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing",
  "summary": "arXiv:2607.25648v1 Announce Type: new Abstract: Public services face growing pressure to adopt artificial intelligence (AI) to close the gap between rising demand and falling resources. That pressure has intensified with general-purpose AI (GPAI): AI built on large language models that can be directed by prompt alone to perform an effectively unbounded range of tasks. We argue that the properties that make these models attractive - their generality, accessibility, and low deployment cost - under",
  "authors": "Sam Relins, Daniel Birks",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T04:00:00.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14097",
  "original_url": "https://arxiv.org/abs/2607.25648",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}