Here are the top 10 drawbacks of using ChatGPT in academics amid its advantages.

In recent years, there has been an increase in interest in the use of artificial intelligence and language models in academia, including ChatGPT. Although technology has the ability to completely transform how we teach and learn, it's necessary to also take into account any potential downsides and restrictions. The top 10 disadvantages of using ChatGPT in an academic setting will be discussed in this article, ranging from the potential for a lack of creativity to ethical issues and the difficulties in judging output quality. Making decisions about the application of this technology in education requires knowledge of these downsides.

1. Lack of originality: The potential lack of originality in the output produced by the model is one of the main issues with employing ChatGPT in academic settings. This can be especially troublesome when students utilize the model to produce essays or other types of assignments because they can just be reiterating previously written material.
2. Limited accuracy: The accuracy of ChatGPT's responses can occasionally be limited, despite the fact that it has been trained on a massive quantity of data and can produce coherent and cohesive responses. This can result in inaccurate information being provided in academic settings, especially in fields of expertise where the model has not been trained.
3. Bias in training data: The result produced by ChatGPT, like any machine learning model, is only as good as the data it was trained on. The model's output may be biased if the training set of data contains inaccurate information. This may result in the spread of false or damaging information in academic contexts.
4. Dependence on technology: Concerns about our dependence on technology and its ability to substitute critical thinking and problem-solving abilities are also raised by the use of ChatGPT in academic settings. Students risk not developing the skills necessary for academic and professional success if they depend too heavily on the model.
5. Lack of creativity: ChatGPT can lack the originality and creativity that are frequently valued in academic settings, despite its capacity to produce coherent and cogent responses. When students are asked to think creatively or come up with fresh ideas for tasks, this can be very challenging.
6. Ethical concerns: Academic use of ChatGPT poses ethical issues around the production of original work and the appropriate amount of credit to be given to the model for its output. It also calls into question how much academic content should be produced using technology and its place in the classroom.
7. Difficulty in evaluating output quality: The challenge of judging the caliber of the output produced by the model is another disadvantage of employing ChatGPT in academic settings. This is especially true in more subjective fields like writing, where it can be challenging to assess the level of a piece of work.
8. 8. Cost: Using ChatGPT in academic settings might also be pricey, depending on the circumstances. This may be especially true for colleges and universities attempting to apply technology widely.
9. Maintenance and updates: ChatGPT needs upkeep and updates, just like any other piece of technology, to keep working well. To keep the model functioning properly, can be time-consuming and expensive and may require specialist skills.
10. Limitations of the technology: Last but not least, it's critical to keep in mind that ChatGPT has some shortcomings and is not a flawless technology. For instance, it might have trouble with activities requiring complicated reasoning or in-depth knowledge of a subject, and it might not always provide results of a high caliber.

Finally, it's critical to keep in mind that ChatGPT has several flaws and a limited range of applications. For instance, it might have trouble with activities requiring a thorough comprehension of a subject or complicated reasoning, and it might not consistently deliver high-quality results.