{
  "id": 3291902,
  "title": "AI-detection tools have made huge leaps forward — how good are they?",
  "url": "https://urgent.news/2026/08/25/ai-detection-tools-have-made-huge-leaps-forward-how-good-are-they",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T00:00:00.000Z",
  "source": {
    "name": "Nature",
    "slug": "nature",
    "url": "https://www.nature.com/articles/d41586-026-02569-3"
  },
  "original_language": "en",
  "account": "AI-detection tools have made significant advancements, with various firms claiming to reliably distinguish between AI-written and human-written text. Pangram Labs, a New York City-based startup, asserts its software can achieve 99.98% accuracy. According to Pangram, around one in eight biomedical articles contained AI-generated text in the previous year. In June, NeurIPS, a major computer-science conference, rejected 18% of submissions after screening them with Pangram. Pangram's co-founder, Max Spero, aims to help identify AI-written text, stating that failure to address the issue could lead to more people relying on AI. Pangram has been integrated into Substack, a popular blogging platform, enabling readers to detect AI-written posts. Universities also rely on AI-detection software to combat academic dishonesty. While these tools are generally effective at identifying purely human-written content and help screen out low-quality content, they are not infallible and may struggle with AI-edited writing that blends both human and AI-generated text.",
  "summary": "Nature, Published online: 25 August 2026; doi:10.1038/d41586-026-02569-3 Scientists and publishers are testing a new breed of software that promises impressive accuracy at spotting AI-written text.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}