Video summary
How to Write Research Papers with AI Tools (0% AI Detection)
Main summary
Key takeaways
Main ideas / lessons conveyed
- Common fears about AI in research: rejection due to “AI detection,” plagiarism concerns, and reputational consequences/blacklisting.
- Core claim: AI itself isn’t the problem—the problem is how you use it.
- Goal of the method: use AI legitimately and ethically to help you accelerate research and improve writing, while keeping:
- original analysis,
- verifiable citations,
- reproducible results,
- academic integrity.
- Key warning: Do not copy AI-generated full papers and submit them as-is. Detectors may label them as fully AI-generated and journals may reject them.
- Important nuance: AI detectors are unreliable (false positives and false negatives). The focus should be integrity and correctness, not gaming detector scores.
- Disclosure: some journals may expect or allow an AI-use declaration; the speaker emphasizes adding it via Jenny AI.
Methodology / step-by-step process
1) Collaborate to make research/writing easier (optional but recommended)
- Go to viamigo.com
- Use:
- Discussions to look for co-authors
- Research groups to join a group or create one yourself
2) Find research direction using Semantic Scholar (topic exploration → paper collection)
- Open Semantic Scholar
- Enter your research domain/topic (example used: healthcare and AI)
- Browse research topics surfaced by Semantic Scholar
- Choose a specific topic (example used: Parkinson’s disease detection using machine learning)
- Locate relevant papers and filter for accessible documents:
- click “has PDF”
- Open and download PDFs
- The example mentions downloading about five papers.
3) Use ChatGPT to identify research gaps (from uploaded papers)
- Upload the downloaded PDFs into ChatGPT
- Ask ChatGPT to:
- check for gaps in the chosen topic
- specify 20 most important topics to research
- Example outcome described:
- current work focuses heavily on small tabular datasets and classical ML models
- weaknesses/gaps are identified
- suggested future directions include:
- retrieval-augmented clinical Parkinson’s diagnosis (RAG)
- foundation models / GPT-like LLM approaches
4) Use Jenny AI to generate paper structure (headings), then write ethically
- Log into Jenny AI
- Enter the research topic prompt
- Click through the setup:
- Next
- Citation settings (leave as default / “next” in the demo)
- Smart headings to generate a suggested paper structure
- The video describes generated headings such as:
- literature review
- gap analysis methods
- related sections needed for the paper
5) Avoid unethical “full AI writing” submission
- Jenny AI can write entire sections/papers automatically.
- The speaker explicitly warns:
- Do not accept the fully generated paper and submit it
- because AI detectors may mark it as 100% AI-generated and you may face submission issues
6) Ethical use: edit/rewriting and assistance (keep your own authorship)
Instead of copying the generated paper, use Jenny AI to improve your draft:
- Paste your own written text
- Ask Jenny to:
- edit for fluency
- rewrite parts you don’t like
- paraphrase for academic style
- optionally use custom prompts for specific rewriting goals
- Ask Jenny to find citations for specific claims/text
- The speaker claims that when AI is used for editing (not whole-paper generation), AI detector results may remain low (the demo shows “0% AI” claims).
7) Validate claims and citations with Jenny’s “review” feature
- Use the review/claim-checking functionality:
- Claim confidence / in-depth review
- Jenny checks for:
- whether your claims are substantiated
- missing references
- misapplied citations
- grammar/supporting issues
- The speaker’s example shows Jenny indicating:
- an original citation was misapplied
- a specific text span was unsupported
- suggested correct citations to add
8) AI-use disclosure (declaration)
- Use Jenny AI to add an AI declaration to the manuscript
- This disclosure states that AI tools were used in the process
- The speaker argues this is acceptable and points to examples of published papers that include similar declarations/conflict-of-interest statements.
9) Practical guidance for other paper sections (still ethical)
- Literature review:
- search the chosen paper in Semantic Scholar
- check ongoing or related research
- Methodology:
- use ChatGPT for guidance (e.g., ideas/protocol framing)
- but perform the experiment yourself
- Overall intent: AI helps you fast-forward, but you remain responsible for originality, experiments, and verification.
10) Reliability caution and integrity checklist
- Be aware:
- AI detectors can be wrong
- false positives (human text flagged)
- false negatives (AI text bypasses detectors)
- AI detectors can be wrong
- Prioritize:
- original analysis
- verifiable citations that make sense
- reproducible results and sound experimental logic
Speakers / sources featured
Speaker
- Unidentified YouTube presenter (no name given in the subtitles)
Tools / sources mentioned
- viamigo.com (co-authors, discussions, research groups)
- Semantic Scholar (topic search, paper PDFs)
- ChatGPT (gap identification from uploaded PDFs; methodology guidance)
- Jenny AI (paper structure, writing/assistance, editing, citation finding, claim review, AI declaration)
- QuillBot (AI detection demo mentioned)
- Instagram (mentioned as a contact channel)
- Elsevier (mentioned as an example publishing platform for Jenny AI–assisted papers)
Rate this summary
Your feedback will help improve summaries.
Improve this summary
Reprocess with a stronger model when the summary feels incomplete or inaccurate.
Translate summary in another language
Ask questions to this video
Chat for follow-up questions, clarifications, and source-backed answers.