{
  "id": 17258909,
  "title": "Thousands of “ghost students” use AI to steal millions in student loans, DOJ says",
  "url": "https://urgent.news/2026/10/30/thousands-of-ghost-students-use-ai-to-steal-millions-in-student-loans",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-30T16:53:49.000Z",
  "source": {
    "name": "Ars Technica Policy",
    "slug": "ars-technica-policy",
    "url": "https://arstechnica.com/tech-policy/2026/10/doj-exposes-ghost-students-using-ai-to-complete-courses-steal-student-loans/"
  },
  "original_language": "en",
  "account": "The Department of Justice has announced its first significant federal crackdown on individuals utilizing artificial intelligence to commit identity theft for the purpose of fraudulently obtaining student loans. Five suspects were charged in connection with this scheme. According to the DOJ, they uncovered a widespread fraud operation that heavily relied on AI technology. The agency seized over $750,000 in cryptocurrency from a network linked to Kenyan nationals. This was facilitated by data analysis that highlighted potential fraudsters. Assistant Attorney General Colin M. McDonald of the DOJ's National Fraud Enforcement Division attributed the arrests to improved fraud-detection measures initiated during the Trump administration. He emphasized that this marks the first international seizure of its kind in Kenya, while warning potential fraudsters that \"if you steal American identities, if you steal taxpayer dollars, if you exploit programs meant to help students build a future—we will find you.\" McDonald emphasized that regardless of the location—whether it is Nebraska, New Jersey, Virginia, or Nairobi—fraudsters will be pursued.",
  "summary": "Applying for FAFSA may get messy as DOJ “ghost student” crackdown ramps up.",
  "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."
}