Artificial Intelligence has gradually started playing its part in academic and research work. Now, the scholars of different academic levels are using AI-based applications in improving language and correcting grammar. Moreover, AI-based applications can help scholars in many tasks like brain storming, summarizing information and so on.

However, there is a huge difference between the use of AI as an academic aid and the role of AI in the preparation of the core elements of PhD research.

A recent report pertaining to PhD admission and research has highlighted the use of AI-generated content, plagiarism and academic originality issues. This report has raised issues relating to PhD synopsis and research preparation using AI and the possible academic consequences.

What PhD Scholars Should Be Aware Of: AI should not replace academic thinking and contribution in any way.

The synopsis of a PhD is not only a document for PhD admission or registration. It is the foundation of PhD research and the synopsis should show a research problem, gap, objectives, methodology and contribution.

What is a PhD Synopsis?

It is basically a structured research proposal showing the research plan of the PhD scholar.

The format can be changed according to university or departmental requirement and the nature of the subject.

However, the structure of a basic synopsis of PhD is shown below:

• Research Title Proposed
• Introduction
• Background of the Study
• Research Problem
• Research Gap
• Significance of the Study
• Research Objectives
• Research Questions
• Hypothesis, if any
• Literature Review
• Methodology
• Research Design
• Sampling / Study Area
• Data Collection Techniques
• Expected Outcomes
• Scope and Limitations
• References

Good synopsis shows that the researcher understands the research problem and the significance of that problem, findings of past researchers and the contribution of his/her research.

Preparation of synopsis through AI-based applications alone cannot make it happen.

Is Preparation of PhD Synopsis through AI-Based Applications Wrong?

Not always.

AI-based application may act as an assistant but the scholar should be aware of his/her academic content and contribution.

AI-based applications can help the scholars in the following ways:

Language Improvement
Grammar Correction
Brain storming
Idea Organization
Writing Assistance

Scholars should be very cautious when AI helps in the preparation of the following components of synopsis:

Research Gap
Research Objectives
Research Methodology
Literature Review
Conclusions
Data Analysis
References and Citations
Academic Arguments

The researcher should authenticate every academic claim through reliable literature.

The principle is quite simple:

AI can act as an assistant but not as a replacement.

What Could Be the Risks of the Use of AI in the Preparation of PhD Synopsis?

It is not always that AI-generated content may be detected. Rather than this, scholars should think about the academic quality, correctness and originality.

Sometimes, AI-generated content may have:

Incorrect Research Gap: AI-based application may give a wrong suggestion about the research gap which does not exist recently in literature.

Unverified References: AI applications may provide incorrect references. The scholars should not use references without verifying them.

Weak Methodology: Sometimes, the suggested methodology of AI-based application may look very sophisticated but may not relate to the research problem, objectives and variables.

Generic Objectives: Sometimes, the AI-generated objectives may look very impressive but may not address the research problem.

Incorrect Academic Claims: AI-generated content may contain claims which require authentication from peer reviewed journals, books and other reliable sources.

Lack of Logical Connections: There should be logical connections between the following:

Research Problem → Research Gap → Research Objectives → Research Methodology → Expected Outcomes

UGc Plagiarism Provisions and PhD Research

Plagiarism is a serious academic offense at the time of higher education and research.

Information reported regarding different UGC-related provisions of plagiarism has shown different measures to be taken in case of plagiarism at different similarity percentages. There may be severe consequences at higher percentages.

But PhD scholars should not always depend on a particular percentage as the universal measure.

They should check the applicable UGC regulations as well as the plagiarism policy of their universities before submission.

Hence, the scholars should follow proper academic practices from the very beginning of PhD.

These are some of them:

Citation of sources
Building of a good reference list
Use of authentic academic literature
Avoiding direct copying
Correct paraphrasing
Giving credits to the original authors
Maintaining research records
Presentation of data in a proper manner
Checking similarity before submission
Following research guidelines of university
Is AI Detection the Same as Plagiarism?

No. AI-generated content and plagiarism are different concepts.

Generally, plagiarism means presenting someone else's material as if it is the product of the researcher without proper citation.

AI-generated content is a different issue involving the use of AI while preparing the academic work. Therefore, it is always necessary to follow the AI use rules of the university.

In short, PhD scholars should not always think about reducing plagiarism percentage.

Moreover, an ideal research should also have the following:

Original Academic Thinking
Proper Citation
Literature Review
Methodology
Data
Research Contribution
Research Integritiy

How Should PhD Scholars Use AI-Based Tools?

AI-based applications can be useful but it should be done in the proper manner.

Step 1: Understanding the Research Topic

The scholar should first understand the research topic.

Step 2: Performing Real Literature Review

Scholar should use reliable scholarly databases and journals.

The scholar should verify AI-generated literature suggestions himself/herself.

Step 3: Verifying the Research Gap

Scholar should not blindly depend on AI-generated research gap without verifying the recent literature.

Step 4: Verifying References

Scholar should check all these details of every reference: Author Name; Paper Title; Journal Name; Year of Publication; Volume/Issue and DOI or other publishing details

Step 5: Connecting the Objectives with the Research Problem

Research objectives should connect with the research problem directly. Moreover, the objectives should be achievable through proposed methodology.

Step 6: Designing the Methodology Properly

The methodology should be suitable for the research topic and research question.

This may include:

Research Design
Population / Sample
Variables
Data Collection Tools
Procedure
Statistical Techniques etc.
Step 7: Scholar's Final Check of the Synopsis

Scholar should read every component of his/her synopsis carefully. If he/she cannot explain the research gap or objectives or methodology in front of the research committee, it is of no use even if it has been professionally written.

What PhD Scholars Should Do Now?

The scholars should not depend on "how to avoid AI detection".

Rather, the scholars should now concentrate on:

Original Research + Authentic Literature + Proper Citation + Real Data + Academic Integritiy

The PhD research is finally an original research journey in which the scholar is supposed to contribute something to the existing body of knowledge. Therefore, the scholars should be very careful about the complete AI-generated content.

Career Plan Academy: PhD Research & Thesis Help

There are many stages in a PhD journey from the stage of synopsis preparation to research work, thesis writing and publication.

Career Plan Academy provides academic assistance for understanding different stages of the research process.

Some of the areas of our research support include:

PhD Topic Selection
Research Problem and Gap Identification
PhD Synopsis Help
PhD Research Methodology
Literature Review Assistance
Thesis & Chapter-wise Assistance
Research Paper Writing
Academic Research Support

Our goal is to help the scholars to understand the academic process and organize their research properly.

Important: The academic responsibility of the scholar always remains with him/her. Scholars should always follow the latest guidelines issued by their universities and regulatory bodies.

Frequently Asked Questions
1. Can AI be used in PhD Synopsis preparation?

Yes. Scholars can use AI as an assistant in language improvement, grammar correction and brain storming. However, scholars should not depend on AI in generating the core intellectual elements of their research.

2. Can AI-generated PhD synopsis be objected to or rejected?

The synopsis can be objected to or rejected if it fails to meet the requirements of the university as well as academic or research-integritiy guidelines. Scholar should make sure that the synopsis is academically sound.

3. What is the acceptable percentage of plagiarism in PhD thesis?

There is no single similarity percentage applicable to every university or situation. Scholars should always follow the plagiarism policy of their universities as well as the applicable UGC regulations.

4. Can AI be used in PhD thesis writing?

Yes. But scholars should always maintain control over their research and analysis.

5. Can AI find a research gap for PhD?

AI can identify a research gap in the literature. But the scholar should independently verify the gap.

6. Can AI generate references for a PhD synopsis?

AI can generate references but scholar should independently verify every reference.

7. What is the most important element of a PhD synopsis?

Logical connections between research problem, research gap, objectives, literature review and methodology.

8. Should researchers disclose the use of AI?

Scholars should disclose the use of AI if required by the university, journal or other relevant academic guidelines.

9. Does Career Plan Academy provide assistance with PhD synopsis?

Yes. Our research assistance areas may include topic selection, synopsis preparation, research methodology, thesis and chapter-wise assistance and research papers.

Conclusion

Artificial Intelligence has brought some opportunities but AI cannot replace the academic thinking and contribution of the researcher.

The recent debates regarding AI-generated PhD work, plagiarism and academic integritiy have raised awareness among PhD scholars about the risks involved in synopsis and thesis preparation.

PhD synopsis should not only be a document with professional English and attractive formatting but should also have:

Research Problem
Research Gap
Relevant Literature
Research Objectives
Research Methodology
Authentic References
Research Contribution

The safe approach for PhD scholars is:

"Use AI as an assistant but academic content and integritiy should remain with the researcher."

Career Plan Academy - PhD Research & Thesis Help