Why Not Use AI to Cross the Language Barrier in Academic Publishing?

Groundbreaking research may be going unpublished because of language barriers. AI can fix that, if we let it.

In 2025, a paper co-authored by Tatsuya Amano, a Japanese ecologist, was rejected without review by a major scientific journal. The reason given: substandard English. Setting aside his enviormental work, Amano has spent years documenting exactly this kind of barrier in his own scholarship, and now he found himself on the wrong side of it, caught in a system that, in my opinion, mistakes linguistic polish for intellectual rigor.

His story is not an outlier. It echoes across academia and publishing, where artificial intelligence (AI) now offers a bridge across the chasm of language, yet resistance persists. As AI weaves itself into creative and professional workflows, the fiercest battles are being fought over writing. From opinion journalism to peer-reviewed research, the mere whisper of AI assistance invites accusations of inauthenticity. But this perpetuates a gatekeeping system that conflates well-written prose with intellectual merit. My argument here is not that AI should replace human thinking or scholarship, but that AI can serve as a linguistic tool to help authors articulate ideas they have already developed, so that potentially groundbreaking research is no longer held hostage by the demands of English fluency.

English dominates science, diplomacy, and global media, a legacy that privileges a relative few. Billions of people speak Mandarin, Arabic, Swahili, and thousands of other languages. For them, expressing complexity in English is a minefield. But AI offers a bridge. AI can translate raw ideas into polished prose, suggest organizational structures, and draft from rough outlines, all while preserving the author’s intent. A physicist in Tehran or a philosopher in Lagos can now articulate quantum theories or ethical frameworks with clarity that matches his or her thinking.

Journal policies mandating “human only” authorship may seem noble, but in practice, they function as gatekeeping mechanisms that favor English-native researchers. In an era defined by globalism, can we afford to let transformative ideas wither because authors struggle with English syntax?

The costs of the current system are staggering and well-documented. According to a 2023 study, non-native English speakers face rejection rates nearly three times higher than their native counterparts due to language alone. They also endure 12.5 times more revision requests. 38 percent of researchers who are not fluent in English report rejections explicitly tied to the quality of their writting. How many breakthroughs have been lost to these barriers? How many cures delayed, how many innovations buried, simply because the writing wasn’t polished enough?

AI offers a democratizing force comparable to the printing press, which expanded literacy beyond the control of elite scribes. Just as earlier technology allowed ideas to spread to new audiences, AI can enable non-native researchers to meet the language demands of English journals and get their work published.

AI allows us to value ideas over the mechanics of expression. It does not replace human ingenuity; it ensures that the focus remains on the depth of thought rather than the surface of its presentation.

  1. The tenant, an international scholar from China, told me that my dishes had fallen off the wall of her apartment. Not her dishes, but my dishes.

    She’d already stumped the undergrad work study student at the front desk which is why the call come upstairs to me. “MY dishes”? Hmmm….
    And not in the kitchen. Hmmmm…..

    OK.

    I knew the layout of her unit I went to room two room asking if that was a room with the dishes, had fallen, eventually coming to the bathroom. “Yes, bathroom“ she replied.

    BINGO….
    “Were they square, about the size of your hand, and yellow or blue?” I asked…

    AI is not going to know that we were having a problem with moisture in the bathrooms, causing the wall tiles to come loose and fall off. AI is not going to make the wild intuitive leap that maybe that’s what she’s talking about. And AI is not going to be able to confirm this by asking her if the “dishes“ met the physical description of the forage square tiles I knew were in her bathroom.

    AI is going to say “dishes“ and everyone reading it in English is going to presume the author meant the things that you put food on, and you don’t have to have too many misunderstandings like this to make a paper totally worthless.

    We may well soon have AI written journals, at which point scientist will be redundant and no longer needed. But until then I want to insist that the person who signed the paper is the person who actually wrote it.

  2. This article offers a timely and incisive intervention into one of the most underexamined inequities in global academia: the conflation of English-language fluency with intellectual capacity. The essay highlights how linguistic proficiency, often mistaken for intellectual gift, continues to gatekeep access to scholarly discourse, and it proposes AI as a tool to bridge this divide. Yet beyond this practical argument, the piece exposes a deeper misrecognition: the persistent conflation of expression with thought itself.

    In this sense, AI functions not as a surrogate author but as a sounding board—a medium through which ideas, already formed but unevenly expressible across linguistic and structural barriers, can be clarified and refined. To resist its use on grounds of authenticity is to mistake the medium for the message. AI does not originate the trajectory of thought; it facilitates its articulation, enabling scholars to navigate linguistic asymmetries without compromising intellectual labor.

    The analogy of a prosthetic limb captures this dynamic with particular clarity. Just as a prosthetic leg does not determine the walker’s destination or alter the trajectory of their journey, but enables movement across otherwise prohibitive terrain, AI does not substitute for human thought. It provides support, amplifying the capacity to convey ideas that already exist, while leaving conceptual intention firmly in human hands.

    This collaborative dynamic finds an instructive parallel in the making of The Waste Land by T. S. Eliot and Ezra Pound. Pound’s editorial interventions did not originate the poem’s vision but sharpened its articulation, rendering its fragmentation more precise and its aporias more visible. In the same way, AI does not resolve the tensions inherent in thought; it helps stage them more clearly, functioning as an externalizing intelligence that reflects, refracts, and amplifies the author’s own conceptual work.

    In this context, the concern that AI assistance somehow undermines human authenticity and originality is doubly delusional. First, it overlooks the inherent instability of language: no human-authored text is ever a transparent conduit for thought. Second, it misconstrues AI’s role, assuming a substitutive function where there is none. AI does not generate ideas or appropriate intellectual labor; it merely enables their articulation across linguistic barriers. Both errors reveal a misunderstanding that is at once conceptual and practical, obscuring the true relationship between human intellect, expression, and technological facilitation.

    Ultimately, Dr. Alam’s article compels a rethinking of linguistic gatekeeping in academia. By framing AI as an assistive, rather than substitutive, force, it opens the possibility of a more inclusive intellectual landscape—one in which the value of ideas is assessed on their substance rather than the contingent fluency of their expression. In doing so, the essay not only argues for a pragmatic solution but also illuminates the deeper philosophical stakes of communication, cognition, and the evolving interplay between human creativity and technological mediation.

    1. If the thoughts can’t be expressed, no one else can benefit from them.

      It’s really that simple.

  3. Requiring reasonable articulate English is not gatekeeping. Once you allow a researcher with poor English skills to use AI tools to clean up the writing, allowing the tool to write portions of the paper itself is a small (and tempting) step. Researchers can hire native English language speakers to correct grammar.

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