{
  "id": 932,
  "url": "https://arxiv.org/abs/2606.17286v1",
  "title": "From Democracies to Autocracies: How AI Systems Enable Authoritarianism by Design",
  "summary": "AI-enabled authoritarianism is not confined to autocracies. In this paper, we provide greater transparency by investigating and mapping the lifecycles of six AI systems deployed in different political regimes, ranging from the US to China. By drawing on an extensive range of sources (academic publications, investigative research reports, third-party evaluations, media interviews, government procurement notices), we conduct a systematic, qualitative comparison across systems to identify the criti",
  "authors": "Jeba Sania, Marta Ziosi, Fazl Barez",
  "category": "research",
  "topics": "transparency,finance-investment",
  "orgs": null,
  "regions": "china",
  "published_at": "2026-06-15T20:50:56.000Z",
  "fetched_at": "2026-07-14T14:14:54.532Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/932",
  "original_url": "https://arxiv.org/abs/2606.17286v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}