Is using AI in online exams right or wrong? Understand the benefits and risks from experts..
AI in Examination Systems: The use of Artificial Intelligence in the education sector is growing rapidly. Nowadays, many educational institutions are extensively relying on AI tools to draft exam questions, grade answer sheets, and even release results. There is no doubt that AI technology has made the examination process much faster and easier. However, a major question remains: should the examination system be left entirely in the hands of machines?
Ankush Sabharwal, CEO and Founder of the tech company CoRover.ai, believes that while AI tools can accelerate workflows, they can never replace human decision-making capabilities. Technology can streamline the examination process, but human oversight is essential to maintain fairness and quality. Recently, significant errors have been detected in the question papers of several examinations. Here is why a rigorous human quality check is crucial for every AI-assisted exam.
AI can generate questions, but can it grasp the context?
AI can generate hundreds of questions in seconds. However, this does not guarantee that all these questions are appropriate or accurate for students. While AI-generated questions may be grammatically correct, they can often be confusing. Only a teacher can truly understand the core objective of the syllabus and the students' level of comprehension. Human insight ensures that questions test the students' actual knowledge rather than intimidating or confusing them.
Human oversight to prevent bias and errors
AI systems operate based on historical data and algorithms. Often, this data contains inherent biases or errors. If AI generates questions without any checks, such biases may become evident in the language and examples used. When human experts review these questions, they can quickly identify and rectify such flaws. This preserves the fairness of the examination and ensures an equal opportunity for every candidate. Limitations of Automated Assessment
AI is highly effective at grading objective—or multiple-choice (MCQ)—questions. However, machines tend to lag when it comes to descriptive or subjective answers. Candidates often answer questions using their own unique styles, novel arguments, or distinct language. AI frequently assigns marks based solely on pre-fed patterns or templates. Consequently, if a candidate provides a perfectly correct answer but phrases it in an unconventional way, the AI might mark it incorrect. In such instances, a teacher's review prevents injustice to the student.
The Future Model: A Blend of AI and Human Expertise
The solution is not to reject AI entirely, but to adopt a smart approach. The ideal model is not "AI versus Human," but rather "Human alongside AI." AI can handle the heavy lifting—such as generating questions, identifying patterns, and managing data—while teachers review the questions, add context, and approve the final results. As long as a balance between technology and the human mind is maintained, our education system will remain both efficient and trustworthy.
Disclaimer: This content has been sourced and edited from News18 Hindi. While we have made modifications for clarity and presentation, the original content belongs to its respective authors and website. We do not claim ownership of the content.
