# Experts claim AI drafted questions in cancelled UGC-NET exams

2026-08-20T08:41:26+00:00 | Governance | Indian Opinion Desk

Corroboration: 1 independent outlet

Subject experts have alleged that generative AI was used to set and translate three UGC-NET papers that were later cancelled by the National Testing Agency (NTA). The experts, speaking anonymously to The Times of India, said automation led to errors that escaped human review. The NTA has denied using generative AI to author the disputed papers. The allegations involve the English, Commerce and Sociology papers conducted during the June 2026 UGC-NET cycle. Candidates flagged repeated questions, misspelt academic names, factual errors and problematic translations. The NTA cancelled the three papers after an expert committee found multiple defects, and has scheduled fresh exams for September 9 and 10. An education ministry source said NTA officials admitted the papers were designed in an 'ad hoc manner' and could not declare answer keys. One expert questioned how so many questions from previous year's papers were picked if a panel of four to five experts had set them. A JNU faculty member raised concerns about the extent of automation in high-stakes national examinations without adequate academic review.

## Indian Opinion Analysis

The allegations come amid growing scrutiny of the NTA after a series of exam irregularities, including the CBSE marking system vulnerability and a researcher exposing the NTA re-examination portal's flaws. Prime Minister Narendra Modi has appointed Nandan Nilekani to lead a task force on exam reforms. The UGC-NET determines eligibility for over 50,000 Assistant Professor positions and Junior Research Fellowships annually. The real test for the NTA now is whether the September 9 and 10 exams can be conducted without fresh controversy, and whether the government will mandate human oversight at every stage of question paper preparation.

## Coverage

- medianama.com <https://www.medianama.com/2026/08/223-ai-questions-net-exams/>
  Leads with anonymous expert allegations of AI use and ad hoc paper setting, foregrounds NTA's denial only later, and highlights repeated questions and spelling errors.

This story was synthesised by AI from the source linked above.

Tags: Abhishek Singh, JNU, Nandan Nilekani, NTA, The Times of India, UGC NET
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