NTA Considers AI for Exam Paper Setting Amid NEET Leak Controversy
The National Testing Agency (NTA) is exploring the use of artificial intelligence (AI) to reduce human involvement in setting question papers and minimize leak risks, following controversies around the NEET-UG 2024 and 2026 exams. NTA Director General Abhishek Singh cited excessive human exposure as a vulnerability. NCP leader Sharad Pawar also supported AI adoption, stating it could have prevented the recent NEET paper leak, which is under CBI investigation with a re-exam scheduled for June 21.
First-hand measurement across 2 sources
We measured how 2 outlets covered this story. Coverage leans balanced overall (Left 27%, Centre 65%, Right 8%). Overall sentiment is positive (67/100). Lens Score 39/100 — moderate-to-low public interest.
Outlets analysed (first-hand measurement by TBN's Bias Engine):
- businessstandard— balanced framing, positive sentiment
- mint— balanced framing, neutral sentiment
AI Analysis
The articles present perspectives from government officials and opposition leaders, reflecting a range of views on the NEET paper leak issue. The NTA's Director General emphasizes technological solutions to reduce human error, while opposition figure Sharad Pawar highlights AI's preventive potential and references administrative changes without direct criticism. The coverage includes both institutional responses and political reactions without overt bias.
The overall tone is cautiously constructive, focusing on technological measures to address exam security concerns. While acknowledging the seriousness of the NEET paper leak and ongoing investigations, the articles emphasize solutions like AI implementation and administrative reforms, avoiding sensationalism and maintaining a forward-looking, problem-solving sentiment.