Introduction
In this digital age, where every dissertation writing process can be done using AI, many students underestimate the human expertise in dissertation writing. Most students think that if they use ChatGPT, their dissertation will become superior or they will achieve better grades. But little did they know that AI does not guarantee improved grades. The dichotomy of the situation is that it can even harm students’ scoring potential and leave them in the darkest phase of their dissertation writing. Therefore, some areas of the dissertation where using AI writing sources over professional do my dissertation assistance would not be a commendable choice are explored in this blog, providing a better process understanding.
Areas of Dissertation Where ChatGPT Falls Short of Human Expertise
Relying on AI for dissertation writing is considered a genius move. However, it contains various hidden risks that can easily degrade students’ dissertations if they are not studied well or considered before using AI. It may produce work with a basic structure and general data, which is not the case with human-driven help. These dissertations are backed by human support, presenting writing that is well crafted considering the angles. In this regard, areas where human expertise exceeds ChatGPT are listed as follows:
1. ChatGPT Lacks Updated Research
When students incorporate ChatGPT to conduct research, the probability that the research is outdated is high. That is because these platforms work on the data provided to them, and mostly, this data feeding is not completely updated. Thus, the information is not necessarily completely up-to-date when using such resources in the dissertation. In such a scenario, human-offered thesis help is the best alternative for students. Hence, it’s promising to say that AI works on data models that are mostly not updated daily, indicating that the information that students fetch through these tools can be outdated. It makes the research initiated using these tools a waste of time, resulting in low research quality in the dissertation.
2. Narrow Context of AI Models
AI-sponsored tools work mainly on the data they are fed, but in this area, they won’t understand the context behind the writing, whether it’s academic, topic-related, or something else. Thus, content created through these AI resources lacks depth and can not meet academic rigour. Although AI is increasing its strength, a write my dissertation services still seems a sensible option for students. Hence, it’s valid to claim that most AI models don’t know the context behind the dissertation writing, academic policies, or the topic. This narrow or limited view leads students to the dissertation path, where the alignment of the writing with the requirements gets sacrificed.
3. Mostly Contradicts University Ethical Policies
It is correct that universities have strict academic policies prohibiting students from using AI writing resources while writing. In this manner, if students still use these resources, the chances are that they will be expelled from their academic writing tasks. This contradiction between AI tools and the university’s ethical policies is why most students choose professional dissertation help online services instead. Hence, it’s fair to mention that universities strictly prohibit directly copying the content in the dissertation from such AI sources. If students were caught doing that, it would be a serious ethical breach of the university’s policies. For this, most institutions have dedicated and strict punishments that set the right example.
4. Accuracy is Not Guaranteed with ChatGPT
It is believed that ChatGPT contains tons of information and data that can significantly improve dissertation writing. However, only a few students understand that the data offered to the students is not guaranteed to be entirely true and accurate. AI is still not fully capable of verifying the information before providing it to the user. It’s another point that gives human-based services like law dissertation help an upper hand over other mechanical assistance. Hence, it’s right to point out that ChatGPT works on previously stored data and can not check the credibility of the information; it just collects information and shares it with the user. That is why expecting accuracy from AI-driven software will be an invalid decision; believing their offered data without analysis is a common mistake students make.
5. Inability of AI Models to Critically Study the Data
The dissertation serves as a vital learning mode for students, where students can sharpen their critical thinking in research and drafting. Adding AI models to fetch data and copy it into writing causes a loss of critical thinking skills. For example, nursing students who can directly use AI-assisted data in their writing often have depleted legal knowledge; nursing dissertation help services are a better option. In this manner, students can work on their critical analysis skills without worrying about dissertation quality. Hence, it’s reasonable to assert that AI can provide extensive data but can not critically analyse the information and ensure its relevance to the topic. Due to this, the inability of AI models can deplete the dissertation quality, and that’s why human expertise provides more credibility to the writing compared with machine-driven assistance.
Conclusion
In an evolving world, AI tools dominate everywhere, and including them in the dissertation writing process is a decision that should be made carefully. They also have a few limitations, especially for their academic writing tasks, which require a certain level of human expertise. These downsides of AI in dissertation writing include outdated research, a narrow context about the topic, a contradiction with the university policies, no guarantee of accuracy, and the inability of AI models to critically analyse the data. It indicates regarding AI writing that using AI tools can lower students’ grades and performance. In this manner, students must know the areas where their AI models lack and use human expertise to overcome the hurdles. For this reason, it can be associated with dissertation writing, as it requires human expertise more than writing supported by technological models.
