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#4 Proofread Like a Pro: ChatGPT Tips for Academic Writing thumbnail

#4 Proofread Like a Pro: ChatGPT Tips for Academic Writing

5 min read

Based on Ref-n-Write Academic Software's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Avoid copying and pasting ChatGPT’s entire revised output directly into a submission; use it to identify issues and make your own edits.

Briefing

Using ChatGPT for proofreading can help tighten grammar and punctuation, but academic integrity depends on how the corrections are handled. The central rule is simple: don’t treat AI output as a drop-in replacement for your own writing. Copying the full revised text from ChatGPT and pasting it directly into a submission can be treated as plagiarism because the work you submit no longer reflects your independent editing decisions.

A second high-risk habit is sending an entire final draft to ChatGPT and requesting a fully corrected, ready-to-download document. That workflow can generate hundreds of changes, making it hard to track what was altered—and it increases the chance that the final paper reads as if it was produced by an AI system rather than revised by the student. The recommended approach is to work paragraph by paragraph so the writer stays in control of what gets changed and what gets left alone.

Beyond integrity, privacy and institutional policy matter. Many universities restrict how AI tools are used, and there’s also a concern that submitted text could be retained and potentially used for future training. For sensitive or “groundbreaking” research that shouldn’t be shared publicly before publication, the transcript advises turning off data sharing in ChatGPT settings (under profile data controls) so the text isn’t stored for training.

When used correctly, ChatGPT functions best as a targeted error-finder rather than an automatic editor. The workflow described is to ask for a list of spelling, tense, grammar, and punctuation issues, then review each item one by one. Concrete examples include correcting a misspelling (“delving”), fixing tense (“Social media has become” rather than “Social media become”), adding a missing preposition (“essential to understand” rather than “essential understand”), and choosing punctuation logic (preferring a conjunction over a comma between “globe” and “woven”). This method preserves authorship because the student decides which suggestions to adopt.

The transcript also recommends using ChatGPT for style checks, such as identifying passive voice when a tutor expects active voice. It further notes that many institutions now expect explicit disclosure of AI assistance. Acknowledgment or appendix text should name the tool, describe how it was used, and include the prompts; students can also provide a shareable link to the ChatGPT conversation so supervisors can verify the exact interaction.

Finally, it warns about two practical pitfalls: AI detectors may falsely flag responsibly edited work, and ChatGPT can mishandle citations or quotations. Keeping a copy of the original document before applying AI-suggested changes helps demonstrate authorship if questions arise. Even with AI assistance, human proofreading remains important because ChatGPT can be inconsistent (the same passage may yield different results) and can introduce citation errors. The overall takeaway is to use ChatGPT as a controlled assistant—small inputs, explicit disclosure, careful review—rather than as an automated replacement for academic writing.

Cornell Notes

ChatGPT can improve academic writing when it’s used as a controlled proofreading assistant, not as an automatic editor that produces a ready-to-submit replacement. The transcript warns against copying and pasting entire AI-revised documents and against uploading full drafts for mass correction, since that can blur authorship and create unmanageable change logs. A safer workflow is to request a list of specific errors (spelling, tense, grammar, punctuation), then review each suggestion paragraph by paragraph and decide what to accept. It also recommends turning off data sharing for sensitive research, disclosing AI use in acknowledgments/appendices with prompts (and optionally a shareable conversation link), and keeping the original draft to defend against false AI-detector accusations. Human proofreading is still essential because AI can be inconsistent and may damage citations or quotations.

Why is copying and pasting ChatGPT’s full corrected text into a paper considered a problem?

The transcript frames it as an academic integrity issue: pasting the entire AI-revised output can be treated as plagiarism because the student is presenting AI-generated content as their own. The safer standard is to use ChatGPT to identify issues and then make the edits as the writer, keeping authorship and decision-making clear.

What’s wrong with uploading a whole final draft and asking for a fully corrected, downloadable version?

It can trigger hundreds of corrections at once, making it difficult to track changes and maintain control over the final wording. The transcript recommends working one paragraph at a time so the writer can review each change and avoid submitting text that looks like it was produced wholesale by AI.

How should students use ChatGPT for proofreading in a way that preserves control?

Ask for a list of mistakes first—spelling, tense, grammar, and punctuation—then fix items one by one. The transcript gives examples: correcting “delving,” changing “Social media become” to “Social media has become,” adding a missing preposition (“essential to understand”), and choosing punctuation (using a conjunction instead of a comma between “globe” and “woven”).

What privacy setting is recommended for sensitive research, and where is it found?

Because universities may not want student work used for AI training, the transcript advises turning off data sharing in ChatGPT settings. It points to profile data controls in settings and says to switch the option off so the text isn’t stored or used for training.

What disclosure steps does the transcript recommend for AI use in academic submissions?

Many universities expect an acknowledgment or appendix section naming the tool and describing how it was used, along with a list of prompts. It also suggests adding a shareable link to the ChatGPT conversation (via the share/create link options) so supervisors can view the conversation history.

Why keep an original copy of the draft before applying AI suggestions?

The transcript warns that AI detectors can falsely accuse submissions even when AI was used responsibly. Keeping the original document helps demonstrate that the work genuinely belongs to the student if questions arise.

Review Questions

  1. What proofreading workflow best preserves authorship: mass correction or targeted error lists—and why?
  2. What are two risks of using ChatGPT on a full final draft, and how does paragraph-by-paragraph review address them?
  3. How should students document AI assistance (tool name, prompts, and conversation link) to meet common university expectations?

Key Points

  1. 1

    Avoid copying and pasting ChatGPT’s entire revised output directly into a submission; use it to identify issues and make your own edits.

  2. 2

    Don’t upload a whole final draft for one-shot correction; review changes paragraph by paragraph to stay in control.

  3. 3

    For sensitive research, turn off ChatGPT data sharing in settings so text isn’t stored or used for training.

  4. 4

    Use a targeted workflow: ask ChatGPT for a list of spelling, tense, grammar, and punctuation errors, then decide which suggestions to accept.

  5. 5

    Check style requirements (e.g., active voice) by asking ChatGPT to flag passive voice sentences.

  6. 6

    Disclose AI use in acknowledgments or appendices, including the tool name and prompts; optionally provide a shareable conversation link.

  7. 7

    Keep a copy of the original draft before applying AI-suggested edits to defend against false AI-detector accusations and verify authorship.

Highlights

Copying ChatGPT’s full corrected text into a paper can be treated as plagiarism because it presents AI-generated content as the student’s own.
Uploading a complete final draft for mass correction can produce hundreds of changes, making it hard to track edits and maintain control.
A recommended method is to ask for a list of specific errors first, then fix them one by one while deciding what to keep.
Turning off ChatGPT data sharing is advised for sensitive research that shouldn’t be retained or used for training.
Many universities expect AI disclosure, including the tool used and the prompts, and supervisors may review a shareable conversation link.

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