Instagram has a new trend of “AI dissertations,” where students claim to proudly generate entire research projects using AI tools, questioning the absence of integrity, critical thinking, and originality in present-day academia.
“Hey Chatbot, how do we write a dissertation? What should I include so that it looks AI-free? Can you write it for me?” Sounds ridiculous, right? Yet this was the exact scenario that came to my mind when I came across Instagram posts claiming, “Guys, this is how I wrote my dissertation using AI tools like ChatGPT and Claude.”
Satire aside, a genuine question emerges: a course that was designed to foster purely research-oriented discourse now appears to be deeply permeated by AI. Has it, in some sense, begun to lose its very essence? A more plausible narrative could have been, “Here’s how I used AI to enhance my research for my dissertation.” However, the shift toward complete reliance on AI to carry out the work itself feels deeply problematic.
But what does this situation actually signal? While exploring this issue further, I came across a research paper suggesting that students who lacked early access to AI tools in their academic journey were, interestingly, the ones who later relied on them the most. Why does this happen? The study pointed out that it was not fear or lack of capability; rather, AI appeared almost “magical” to them. Its promptness, speed, and range of outputs became the primary factors that drew them in.
This reframes the problem. The issue is not simply why students rely heavily on AI, but rather what institutions can do to establish clear boundaries and frameworks for its appropriate use.
Several articles addressing this concern highlight the absence of well-defined standards and policies to guide students. While modern scholarship continues to emphasize individual authorship and original research, it must also evolve alongside the inevitable integration of AI. The dominant concern now is that students who rely heavily on AI are not being assessed at a level that truly reflects their understanding. Many incorporate AI-generated concepts and ideas directly into their work, which undermines the traditional process of learning through trial and error. In such cases, students often grasp terminology rather than the underlying concepts.
A more effective approach to assessment, therefore, could involve shifting the focus back to the student’s reasoning. For instance, asking questions such as: Why did you choose this particular method? What alternatives were available? This would relocate the burden of critical thinking from the AI tool back to the student, encouraging deeper engagement with their own research process.
So, what can be the way forward? While it is both expected and necessary for students to understand the true essence of research and adhere to it ethically, it is equally important for institutions to acknowledge that AI is inevitable and will continue to penetrate academic spaces with increasing frequency. Rather than resisting this shift, the focus should be on developing clear policies and guidelines that not only reinforce the fundamental principles of how research ought to be conducted, but also equip students with an awareness of the limitations of AI. More importantly, institutions must guide students on how AI can be used as a tool to enhance their research, rather than allowing it to completely overtake the process.
In doing so, the goal should not be to eliminate AI from academia, but to integrate it in a manner that preserves critical thinking, originality, and intellectual accountability.
Read Also: Colleges across Delhi University crack down on low attendance, confusion persists
Image Credits: Screenshot from Instagram User @fragrance______
Rahul Kumar
Trending
