Typical Words Used in AI Writing

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In The Conversation article, Ambuj Tewari, a Professor of Statistics at the University of Michigan, discusses how institutions are seeking reliable methods to detect AI-generated text. he notes that while writing rules are easy to establish, enforcement remains challenging. Although, humans can sometimes identify AI-written text, but automated detectors are preferred because they provide consistent results at scale.

“It’s because these LLMs are statistical parrots, or stochastic [randomly determined] parrots in that sense. They take what they learned from their training data and they overfit it to specific technology because it’s all that they know based on the data they were trained,” explained Tian.

– Edward Tian, GPTZero CEO told Forbes

In last April, GPTZero published a list of common AI words and phrases. Below is a list of common AI used terms that I gathered through AI tools as well.

1. Innovation, Progress, and Change Language: Words that signal forward motion, improvement, or novelty—often without specifics.

  • Innovate – Signals originality while often recycling familiar ideas.
  • Modernize – Frames updates as progress.
  • Transform – Adds drama by implying sweeping change.
  • Develop – A default verb suggesting growth without detail.
  • Improve – A broad promise of getting better.
  • Optimize – Suggests peak performance or efficiency.
  • Refine – Implies polishing ideas to appear sophisticated.
  • Build – A simple signal of creation or progress.
  • Changing – Neutral language for things in flux.
  • Boost – Adds a positive spin to even minor gains.

2. Discovery, Journey, and Exploration Metaphors: Language that frames writing as a process of uncovering or movement.

  • Discover – Implies hidden insights waiting to be revealed.
  • Explore – Common in introductions, promising a journey.
  • Reveal – Suggests something previously unseen coming to light.
  • Unlock – Implies releasing hidden value or potential.
  • Navigating – A staple for describing challenges or uncertainty.
  • Endeavors – Makes efforts sound more meaningful than necessary.

3. Abstraction and Vague Complexity: Words that inflate ideas by making them sound intricate or layered.

  • Tapestry – A metaphor for complexity that replaces clarity.
  • Complexities – Makes issues sound layered, even when they aren’t.
  • Scope – Frames topics broadly without specificity.
  • Array – A vague way to refer to many things.
  • Package – Groups ideas without detailing them.
  • Extensive – Signals breadth or depth without substance.
  • Comprehensive – Sounds thorough while remaining nonspecific.

4. Emphasis, Importance, and Authority Markers: Used to highlight significance or reinforce claims.

  • Underscore – Signals importance, especially in introductions.
  • Underpin – Suggests foundational support or importance.
  • Crucial – A substitute for “important.”
  • Vital – Another emphasis marker.
  • Key – A shorthand for significance.
  • Core – Highlights essentials, often as “at its core.”
  • Confirm – Reinforces certainty or authority.
  • Verifying – Suggests fact-checking or validation.

5. Polished, Corporate, and Managerial Language: Common in professional, academic, and marketing-style output.

  • Leverage – Business-friendly way of saying “use.”
  • Streamline – Signals efficiency and simplification.
  • Utilize – A formal replacement for “use.”
  • Implement – Indicates plans being put into action.
  • Integrate – Suggests smooth blending of ideas.
  • Tailored – Implies personalization.
  • Bespoke – Signals customization and sophistication.
  • Advisable – Frames recommendations formally.
  • Cutting-edge – Adds flair to claims of innovation.

6. Tone-Softening and Emotional Framing: Language that creates warmth, caution, or reassurance.

  • Foster – Adds a supportive, positive tone.
  • Simplify – Reassures readers complexity is being reduced.
  • Daunting – Acknowledges difficulty while softening it.
  • Meticulous – Implies care and precision.

7. Structural and Filler Connectors: Words that help maintain flow but often pad meaning.

  • Regarding – Introduces additional points.
  • Among – A concise grouping word.
  • Towards – Indicates direction or intention.
  • Whether – Often used in comparisons, frequently overextended.
  • Ultimately – A favorite conclusion marker in A.I. writing.

“It’s because these LLMs are statistical parrots, or stochastic [randomly determined] parrots in that sense. They take what they learned from their training data and they overfit it to specific technology because it’s all that they know based on the data they were trained,” explained Tian.

– Edward Tian, GPTZero CEO told Forbes
  • Textero.io guide lists 50 words that frequently appear in the contents written by AI.
  • GPTZero, an AI detector tool, lists many commonly occurring phrases and words in writing created using AI tools.
  • Grammarly: AI-generated text often follows predictable patterns and uses common phrases, making it sound polished but stiff. Responsible use includes human oversight, transparency, and proper citation.

Generative AI is a welcome assistant to the field of writing, but if you lean on AI too much, your text might sound machine-generated.

– Microsoft

Acknowledgement: This summary was generated using AI writing tools as part of my AI Explorations process. For more information, please refer to the original articles listed below.

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