Video summary

How to Write Research Papers with AI Tools (0% AI Detection)

Main summary

Key takeaways

Educational

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)
  • 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)

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