Experts allege that the National Testing Agency of India used artificial intelligence recklessly to draft questions for the UGC-NET examination [1].
The controversy centers on the integrity of a high-stakes national exam. If AI was used without oversight, it suggests a systemic failure in maintaining academic standards for educators and researchers.
According to experts, the employment of AI without proper safeguards led to several critical errors in the exam [1]. These issues reportedly included the incorrect presentation of scholars' names, and the inclusion of questions that were entirely unrelated to the prescribed syllabus [1].
The National Testing Agency denied these allegations [1]. The agency said the claims that AI was used to draft the questions are unfounded [1].
The dispute highlights a growing tension between the adoption of automated tools in public administration and the need for human verification. While AI can accelerate content creation, the reported errors in the UGC-NET exam demonstrate the risks of omitting a rigorous review process, especially in academic testing.
This incident occurs as educational bodies worldwide grapple with the integration of generative tools. The NTA said its processes remain secure and traditional, despite the assertions from outside specialists [1].
“Experts allege that the National Testing Agency of India used artificial intelligence recklessly to draft questions.”
This conflict reflects a broader global struggle to balance efficiency with accuracy in the age of generative AI. The allegation that a national testing body bypassed human verification for syllabus alignment suggests a potential vulnerability in how standardized tests are developed, potentially undermining the credibility of professional certifications.
