Urgent.News

What's breaking now, across thousands of outlets.

AI

NTA restructures role: Translators will now ensure quality of AI work

NTA restructures role: Translators will now ensure quality of AI work

The National Testing Agency (NTA) has restructured the role of translators, with a focus on reviewing AI-generated translations of examination questions from English to Indian languages. The translators will identify linguistic, technical, scientific or contextual errors, suggest corrections, and certify the final translation. This new role differs from the conventional 'translator' role seen in earlier cycles.

The NTA, which conducts high-stakes competitive examinations such as NEET, JEE Mains, CUET, and UGC-NET in 13 languages, has divided the translation function into two parts. The primary translation will be carried out by an air-gapped AI-based translation platform installed on the NTA's premises, while the verification, certification, and quality-assurance of the AI-produced translations will be undertaken by a panel of empanelled human professionals, known as "translation reviewers."

These reviewers will operate under structured, monitored conditions within NTA's secure facility, seeing only individual items presented in a random order unrelated to the final paper. Additionally, they will not be permitted to view the entire assembled paper. The NTA has implemented extra security measures following the recent NEET UG paper leak, which sparked outrage, protests, and a CBI investigation.

During the investigation, it was discovered that one of the arrested subject experts, Manisha Mandhare, had been involved in both setting and translating the question paper.

Written by urgent.news from The Indian Express's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at indianexpress.com →

More in AI

Hang Ten Systems Raises $53M to Scale Enterprise AI Services

Hang Ten Systems Raises $53M for Enterprise AI Expansion Hang Ten Systems has raised an additional $53 million in seed funding. Xora, a Temasek-backed fund, led the round. The financing The post Hang Ten Systems Raises $53M to Scale Enterprise AI Services appeared first on Ventureburn .

A student eyeballed 102 F-Droid apps for LLM slop. The method is the story.

Someone on tintotint.eu went through every app in the September 12, 2026 F-Droid update batch, 102 apps, and classified each one by how likely it is that an LLM wrote it. Mostly AI, hard to say, no signs of AI. One student, one batch, a few tiers, done.

  • Student evaluated 102 F-Droid apps for AI-generated code likelihood
  • Provenance is not resolvable; focus on reviewing code itself regardless of author

More from Thursday 17 September →