Why AI Underscores Everything: Common AI Jargon and How to Remove AI Words from Your Research Writing

If you've used ChatGPT, Claude, or any large language model to draft sections of a research paper, you've seen the pattern. The AI doesn't just write — it delves. It underscores. It weaves tapestries of multifaceted ideas across landscapes of knowledge, leveraging every opportunity to sound profound while saying very little.

These words have become signatures. Not of good academic writing, but of AI-generated text. Journal reviewers are catching on. Turnitin's AI detection tools flag them. And your colleagues can spot them from across a conference room.

The problem isn't that you used AI to help write. The problem is that you left the AI's fingerprints all over the final draft.

What counts as AI jargon in academic writing?

AI language models have clear vocabulary preferences. They overuse certain words not because those words are wrong, but because the training data rewarded them. The result is a distinctive register that reads as artificial to anyone who's been paying attention since 2023.

Here are the most common AI jargon words that appear in research papers:

The "sounds smart" words:

• Delve — AI uses this roughly 50x more than human academic writers. "This study delves into..." Almost no researcher actually writes this way.
• Tapestry — "The rich tapestry of qualitative data..." You would never write this in a methods section. No human would.
• Multifaceted — A real word, but AI reaches for it constantly. "The multifaceted nature of..." is a flag.
• Holistic — "A holistic approach to understanding..." appears in AI drafts far more than in human-written papers.

The filler transitions:

• Moreover and Furthermore — AI uses these to start nearly every second paragraph. Human writers vary their transitions more.
• It is important to note — Six words that add nothing. AI inserts this phrase compulsively.
• In the realm of — Just say "in." Three syllables instead of five words.

The action verbs that aren't:

• Leverage — AI loves this. "Leveraging machine learning techniques..." Just say "using."
• Foster — "To foster a deeper understanding..." You mean "encourage" or "support."
• Underscore — "These findings underscore the importance..." Try "highlight" or "show."
• Navigate — When used metaphorically: "Researchers must navigate the complexities..." Just say "address" or "manage."

The abstract nouns:

• Landscape — "The research landscape..." What landscape? It's a field. Say "field."
• Paradigm — Sometimes appropriate, usually not. "A paradigm shift in our understanding..." is almost always AI.
• Synergy — This belongs in corporate slide decks, not research papers.

Why AI writes this way

Language models generate text by predicting the most likely next token based on patterns in training data. Certain words scored well during training — they appeared frequently in the kinds of text the model was rewarded for producing. "Delve" sounds thorough. "Multifaceted" sounds sophisticated. "Leverage" sounds strategic.

The model isn't choosing these words because they're the best fit. It's choosing them because they have high prediction probability in academic-sounding contexts. The result is a kind of statistical tic — the AI equivalent of a nervous habit.

This is also why AI jargon is so consistent across different models. GPT-4, Claude, Gemini — they all overuse roughly the same vocabulary because they were trained on overlapping data with similar reward structures.

How reviewers and detection tools spot AI jargon

Journal reviewers are increasingly aware of AI writing patterns. A 2025 survey in Nature found that 68% of peer reviewers reported being "somewhat" or "very" concerned about AI-generated text in submissions. Many now actively look for it.

What they notice:

Vocabulary uniformity. Human writers have idiosyncratic word choices. They have favorite transitions, preferred sentence structures, distinctive rhythms. AI text is smooth but generic — technically correct yet somehow personality-free.

Transition overload. AI starts paragraphs with "Moreover," "Furthermore," "Additionally," and "It is worth noting that" at rates far higher than human writers. If your paper has three "moreovers" on one page, that's a flag.

The "teacher voice." AI tends toward a lecturing tone — explaining concepts the reader already understands, over-qualifying statements, adding unnecessary caveats. "It is important to recognize that this finding, while preliminary, suggests a pattern that may be broadly consistent with..." A human researcher would write: "This finding aligns with..."

AI detection tools like Turnitin, GPTZero, and Originality.ai look for similar patterns at a statistical level. They measure word frequency distributions, sentence length variance, and vocabulary diversity. Text dense with AI jargon scores higher on these detection metrics even when it isn't fully AI-generated — because you've inadvertently adopted the model's vocabulary.

How to remove AI words from your research writing

Manual approach: the replacement method

Go through your draft and flag every instance of the common AI words listed above. Then replace them:

This works, but it takes time. For a 6,000-word paper, you're looking at 30–45 minutes of careful search-and-replace, plus another pass to make sure the replacements sound natural in context.

Automated approach: AI jargon removal tools

This is exactly why we built the Remove AI Words feature in ProofreaderPro.ai. It identifies AI-typical vocabulary in your text and replaces it with natural, human-sounding alternatives — while preserving your meaning, tone, and academic register.

The tool doesn't just do blind find-and-replace. It understands context. If "comprehensive" is used appropriately (not as a replacement for "holistic" in a generic sentence), it leaves it alone. If "moreover" appears once in a 5,000-word paper, that's fine — it's only flagged when the density suggests AI origin.

The deeper fix: editing your AI workflow

Removing AI words after the fact is a patch. The real solution is changing how you use AI in your writing process.

Use AI for structure, not prose. Ask the model to outline your argument, suggest section headings, or identify gaps in your logic. Then write the actual sentences yourself. Your vocabulary, your rhythm, your voice.

If you do use AI for drafting, rewrite aggressively. Don't edit AI output. Rewrite it. Read what the model produced, close the tab, and write the paragraph from memory in your own words. You'll keep the ideas but lose the jargon.

Run a dedicated AI jargon pass before submission. Even if you wrote everything yourself, your reading of AI text may have influenced your vocabulary unconsciously. A quick pass with a text humanizer catches any contamination.

Read your draft aloud. AI jargon sounds awkward when spoken. If you stumble over "the multifaceted tapestry of interdisciplinary research landscapes," that's your signal to simplify.

A note on ethics

Using AI to assist with writing is not inherently unethical. Most university guidelines now permit AI use with disclosure. What matters is that you:

1. Understand and can defend every claim in your paper
2. Cite AI assistance where required by your institution or journal
3. Ensure the final text accurately represents your research and your voice

Removing AI jargon isn't about hiding AI use. It's about producing better writing. "Delve" is a worse word than "explore" regardless of who typed it. Cleaning up AI vocabulary improves your paper whether or not you used AI to write it.

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Frequently asked questions

What are the most common AI words in academic writing?

The most frequently flagged AI words in research papers are "delve," "tapestry," "holistic," "multifaceted," "leverage," "foster," "underscore," "navigate," "landscape," and "paradigm." Transition words like "moreover," "furthermore," and phrases like "it is important to note" are also strong AI indicators when used excessively.

Can Turnitin detect AI jargon?

Turnitin's AI detection tool doesn't specifically flag individual words, but text dense with AI-typical vocabulary scores higher on its AI-writing probability metric. This is because AI jargon correlates with other statistical patterns (sentence length uniformity, low vocabulary diversity) that detection tools measure. Removing AI words reduces your overall AI detection score.

How do I remove AI words from my research paper?

You can manually search for common AI jargon and replace it with natural alternatives, or use an automated tool like ProofreaderPro.ai's Remove AI Words feature which identifies and replaces AI-typical vocabulary while preserving academic register and meaning. The automated approach is faster and catches patterns you might miss.

Is it wrong to use AI-generated text in academic papers?

Most universities and journals now permit AI assistance with appropriate disclosure. The issue isn't using AI — it's submitting text that misrepresents your voice or understanding. Cleaning up AI jargon produces better writing regardless of how the first draft was created.

How many AI words is too many?

There's no hard threshold, but density matters. One "moreover" in a 5,000-word paper is fine. Five "moreovers," three "delves," and two "tapestries" in the same paper will trigger both human reviewers and AI detection tools. As a rule: if a word appears more frequently in your paper than in published work from your field, replace it.