Common Misunderstandings About AI Writing

Princeton University just proved a harsh truth: AI-labeled writing is automatically judged as inferior. Even AI models agree with the bias. Researchers tested this with 556 people and 13 AI models. They used passages from celebrated human writers like Raymond Queneau alongside GPT-4 outputs. Evaluators reviewed the exact same text under three conditions: unlabeled, correctly labeled, and falsely labeled. The results were clear. When the same passage was labeled “written by a human,” it received higher ratings. When labeled “written by AI,” scores dropped significantly. The words stayed identical. Only the label changed. Humans showed a 13.7% point bias against AI-labeled text. AI models showed a much stronge 34.3% point bias - 2.5 times more prejudiced than humans. What surprised everyone most? The label didn’t just shift scores. It completely reversed the evaluation. Stylistic choices praised as “authentic” and “emotionally resonant” from a human were criticized as “mechanical” and “formulaic” when attributed to AI. The same sentences. Opposite conclusions. This bias even appears when AI evaluates other AI outputs. Every model rated writing lower when it carried the AI label - including its own work. We have trained AI to devalue itself. This matters urgently in academia, hiring, and publishing. AI detection tools are widespread in schools and workplaces. Once a piece is flagged as AI-generated, this study shows the perceived quality becomes secondary. The judgment flips. Suspicion replaces open evaluation. It is no longer just about what you wrote. It is about what people believe wrote it. As someone who works at the intersection of epidemiology, digital methods, and AI for public health, I see this tension every day. We need tools that enhance our work, not ones that invite automatic doubt. What are your experiences with AI writing in professional or academic settings? Have you noticed this bias in reviews, grading, or hiring? #Epidemiology #PublicHealth #AIinHealthcare #DigitalEpidemiology #AcademicWriting #HigherEducation #FutureOfWork

“Don’t use AI for writing, it won’t be authentic.” This is a wildly incomplete opinion (and I’m saying this as someone with a “traditional” writing background). There are many ways AI can be helpful in your writing process without turning you into a generic robot. For example: 1. Use it to brainstorm new topics for your audience 2. Use it to flesh out a vague idea into multiple angles 3. Use it to explore valid counterpoints to your opinion 4. Use it to challenge your thinking and sharpen your ideas 5. Use it to develop metaphors or analogies for abstract ideas 6. Use it to help name concepts or frameworks 7. Use it to ask follow-up questions you hadn’t considered 8. Use it to talk through your thinking like an editor 9. Use it to build a knowledge base or source information 10. Use it for quick overviews of topics you’re unfamiliar with 11. Use it to summarize long articles, papers or transcripts 12. Use it for examples, anecdotes or historical parallels 13. Use it to organize and connect multiple messy thoughts 14. Use it to explore different content structures or styles 15. Use it to make your intros or hooks more compelling 16. Use it for quick first drafts so you don’t start with a blank page 17. Use it to edit paragraphs for flow, clarity, or tone 18. Use it to convert bullet points or notes into a working draft 19. USe it to polish grammar, punctuation and readability 20. Use it to tighten sentences for clarity and conciseness 21. Use it for tone checks – "does this sound like me?" 22. Use it for rewrites without losing your natural voice 23. Use it to detect repetition or filler 24. Use it to suggest stronger verbs or more vivid phrasing 25. Use it anticipate the questions your writing might raise Can AI rip the soul from your writing and make you sound like everyone else?  Yeah. But it doesn't have to. The magic is in how you use it.

Dear copy writers, comms/marketing heads and young journalists, AI isn't a silver bullet for quality. If YOU don't know what good content looks like, using AI will just add endless quantities of the mediocre stuff that's flooding our feeds. AI is great for scale, speed and good for volume and efficiency. What it cannot do is compensate for weak storytelling, poor taste, or a lack of clarity. If your writing is average, AI will make you more efficient at producing… average writing. That’s why we still see releases beginning with “We are pleased to announce…” or posts that start with “I was honoured to…” You need to be a good storyteller to produce quality content, be it text or video. You need to be a good storyteller to improve on AI's output. That has not changed. Relying on AI without understanding what good content looks like is how you end up like the woman who read about Obama and concluded he was Arab — tools don’t fix misunderstanding. The craft still matters. It always will. SRMG Academy

I’m tired of people saying, "writing with AI is inauthentic.” Here’s the truth: Your audience doesn’t care about your writing process. They care whether your writing is worth reading. Overlooking AI as a writing tool is like: • Drafting a research paper without the web. • Talking with a global colleague without video calling. • Handwriting an essay instead of using Google Docs. Personally, my handwriting is illegible 😅. Why wouldn't you use advanced AI tools to amplify: ➡️ The quality of your ideas. ➡️ The clarity of your insights. ➡️ The structure of your stories. Faulty beliefs hold too many people back: 👉 If you write with AI, it doesn’t erase your years of experience. It lowers the barrier to sharing it. 👉 If you work 10x harder to hit the same quality without AI, burnout isn’t a badge of honor. 👉 If you choose purity over productivity and post less, your expertise stays invisible. Here’s a twist: AI can actually make you 𝘮𝘰𝘳𝘦 authentic. • Overcome writer’s block and fear of judgment. • Share your experiences more consistently. • Focus on your unique perspective. There's a learning curve. I felt the clunkiness firsthand through trial and lots of error. Sometimes it slowed me down. But the models keep improving. And so do you — with practice. AI doesn’t void your authenticity. Used well, it scales it. When you write more, you build new connections and open new doors — amazing, worthwhile benefits. Does AI make writing less authentic? Or does it help more people finally find their voice? See you in the comments! —— ♻️ Repost to help your friends start writing with AI. 👋 If you enjoyed this, follow me to join 3,500 Comms Pros building future-proof careers.

AI isn’t ruining writing. Bad writers are. If your content suddenly sounds generic, flat, interchangeable or full of too many em dashes, that’s not the fault of the tool. It’s the fault of the operator. AI amplifies what you give it. Clear thinking in. Structured insight in. Strong positioning in. You get clarity back. Vague thinking in. Recycled ideas in. No point of view in. You get noise back. The uncomfortable truth is this: AI exposes weak writers faster than it replaces strong ones. The people who struggle most with AI are usually the ones who relied on fluff, filler and surface-level insight to begin with. Strong writers use AI the way great strategists use data. As leverage. They don’t outsource thinking. They accelerate execution. Maybe the real issue isn’t whether AI is degrading writing. It’s revealing who never had a voice to begin with. What’s your take? Is AI lowering the bar or just removing the illusion? #AI #Writing #ContentStrategy #ThoughtLeadership #Marketing

Alright people… this obsession with whether someone did or didn’t use AI to write something is getting out of hand. Saying you can spot AI through specific words, punctuation, stanzas, cadence, or echoes… it’s all hogwash. In my opinion, the real way you “spot” it is simple: something is well written but still doesn’t make sense, or it’s missing the emotion, nuance, and lived texture that come with real writing. And instead of addressing that, people have started doing the wildest things: intentionally writing in lowercase, adding typos, and breaking grammar just to prove they’re “human.” Why are we doing this performance art? AI was trained on proper writing. Period. It’s not disrespectful to use tools that help you write clearly and cleanly. What IS disrespectful is intentionally making your writing sloppy as a badge of authenticity. That’s not craft — that’s insecurity dressed up as rebellion. If someone says your writing “looks like AI,” that tells you more about their reading habits than your process. They’re not engaging with your ideas; they’re scanning for holes to call out. Good writing makes you feel something. It sparks ideas. It asks questions. It reads like a story. AI isn’t there yet — not in voice, not in emotional posture, not in lived experience. So let people be with this AI hoopla. And PLEASE, for the love of language, stop breaking your writing on purpose just to look original. If your thinking is original, your writing will be — and it will come across that way too. . . . From the desk and mind of Rosa 🌹 — I don’t do sloppy for authenticity. I do clarity, craft, and original thought.

AI was supposed to revolutionize the way we write. But after two years of working with these tools, I'm seeing something that's getting on my nerves. It's not that AI writing is awful. It's that it quietly pushes us all toward safer, more average writing. At heart, AI tools aren’t creative. They’re predictive. They work by analyzing massive datasets to find the most common patterns in human writing. And that means they’re literally programmed to surface boring, average writing. Like: “In today’s ever-evolving digital age…” It’s crystal-clear when you reprompt an AI. AI isn’t particularly good at thinking of unique ideas – so you’ll often get similar sentence structures and phrasing, even when you explicitly ask it for different variations. (And to be clear, you CAN get around this – but it takes thought, effort, and creative prompting.) I once asked an AI founder what he thought AI was going to do, and his response was: “I think AI is going to take over a ton of mediocre writing that’s being done by humans right now.” And that tracks. AI has absolutely nailed a very generic B2B voice. One that’s professional, relatable, and totally ignorable – and doesn’t deliver any original insight or memorable takeaways. It plays into our natural human tendency to avoid risk. We all seek safety and avoid straying from the group – especially when it comes to putting our ideas out into the world. Nobody wants to be wrong. Nobody wants to look stupid. Nobody wants to say something too risky. That’s the real appeal of AI – it can take the scary parts out the content creation process so all we have to do is hit the easy button. Layer that on top of the baked-in tendency of LLMs to pull us toward the average, and it’s a recipe for more mediocre content than ever. So what are we supposed to do? → Identify the places where an AI can be legitimately helpful – and where it’s just getting in the way → Give the AI tons of data on how your audience actually talks and thinks – like customer interviews, online reviews, and conversations with your team → Use AI to reverse engineer the writing you really admire and analyze why it works – so you can break out of bland, homogenized AI writing → Treat prompting like a creative exercise. Try weird shit. Break away from standard templated prompts and try talking to AI like a real person AI isn’t going anywhere. And if we want more than just average writing, it’s on us to find ways to use it creatively.