When AI Tools Mislead: Ensuring Fairness for Students, Teachers, and Institutions | Academic Integrity in the Age of AI | A Balanced Approach for Students, Teachers, and Institutions

In recent times, some universities have reported that many research theses were AI-generated. This has created concern among students and teachers alike. Students are expected to study seriously and submit original work in the form of a thesis or dissertation. This is a basic rule of academic life.

But an important question arises: what if a student writes their work honestly, and it still gets marked as AI-generated by a detection tool? What happens to that student?

In many cases, institutions rely heavily on AI detection tools without checking the work properly. When a thesis is marked as AI-generated, students are often asked to prove their innocence.

This can be unfair. Years of hard work and effort can be questioned in just a few seconds because of a tool’s result. This creates fear and confusion among students.

AI Tools Should Help, Not Decide

Before using any tool, teachers should read the student’s work carefully from start to finish. This has always been the correct way of evaluating academic work.

They should also check whether similar work has been done before. Plagiarism is not a new issue. Even in the past, many cases were identified without the help of AI tools. Careful reading and comparison were enough.

AI detection tools can be useful, but they are not always accurate. Most of these tools clearly mention that their results may not be fully correct.

Sometimes, even well-written original content can be wrongly marked as AI-generated. This shows that these tools should not be treated as final decision-makers.

There have been cases where even old or well-known texts get flagged by AI detectors. This proves that the tools are not perfect.

If institutions depend only on such tools, they may punish students who have done nothing wrong. This can affect a student’s future and reduce trust in the system.

A Better Way to Evaluate Student Work

A fair evaluation process should include:

• A basic plagiarism check
• Careful reading by teachers
• A discussion or viva with the student if there is doubt
• Use of AI tools only as support, not as final proof

This method is more balanced and gives students a fair chance.

Students are expected to submit original work. In the same way, teachers and institutions must ensure fair evaluation.

Relying only on AI tools without proper checking is not a responsible approach. Teachers must use their own understanding and judgment while reviewing student work.

A Balanced Approach: Responsibility on Both Sides

It is important to recognise that some students do misuse AI tools and generate their entire thesis using them. This is clearly wrong and goes against academic integrity. At the same time, there are sincere students who write their work honestly, yet their content may still be flagged as AI-generated. Such students should not be made to suffer for the limitations of technology.

If teachers expect students to produce original work, students also have the right to expect proper and careful evaluation. Academic work was reviewed manually for decades, and that level of attention should continue. Simply uploading an entire thesis to an AI detection tool because it is quick and easy should not become the norm.

The use of AI tools should be limited on both sides. Just as students are often restricted from using AI tools excessively, teachers should also avoid relying on AI detection tools at the very first stage without even reading the content.

Students should be encouraged to think originally and express their own ideas. They should not feel indirect pressure to use AI “humanising tools” just to rephrase machine-generated content. At the same time, faculty members must take the responsibility to read full theses carefully before giving any judgment.

A fair academic system depends on mutual responsibility, where both students and teachers use technology carefully and rely primarily on their own effort and judgment.

Conclusion

AI tools can support the evaluation process, but they cannot replace human thinking. Final decisions should always be based on careful reading and proper judgment.

A student’s future should not depend only on the result of an AI tool. A fair and thoughtful approach is necessary to protect both academic integrity and student trust.