
{"id":39225,"date":"2025-11-03T18:07:16","date_gmt":"2025-11-03T12:37:16","guid":{"rendered":"https:\/\/www.editage.com\/insights\/?p=39225"},"modified":"2025-12-18T11:14:00","modified_gmt":"2025-12-18T05:44:00","slug":"the-role-of-ai-and-human-expertise-in-the-future-of-research-communication","status":"publish","type":"post","link":"https:\/\/www.editage.com\/insights\/the-role-of-ai-and-human-expertise-in-the-future-of-research-communication","title":{"rendered":"The Role of AI and Human Expertise in the Future of Research Communication"},"content":{"rendered":"<p><span data-contrast=\"auto\">The publishing of scientific research has been transformed by the introduction of artificial intelligence (AI) into nearly all aspects of the research workflow. Authors and researchers at all career stages use AI tools for proofreading, paraphrasing, citation management, literature discovery, and text summarization. But beyond this, how is AI contributing to the communication of research? And where does human expertise matter? Let\u2019s dive in!<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"#publishing-process\"><span data-contrast=\"auto\">Process of Scientific Publishing<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p><a href=\"#ai-in-research-communication\"><span data-contrast=\"auto\">Role of AI in Research Communication<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p><a href=\"#ai-and-human\"><span data-contrast=\"auto\">Future of AI and Human Experts in Scientific Research Communication<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<h2 id=\"publishing-process\" style=\"padding-top: 80px; margin-top: -80px;\">Process of Scientific Publishing<\/h2>\n<p><span data-contrast=\"auto\">Here\u2019s a simplified flowchart of various stages in scientific publishing.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\"> <img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-39226\" src=\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/11\/research-publishing-process.png\" alt=\"Step-by-step process of research publishing \" width=\"977\" height=\"71\" srcset=\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/11\/research-publishing-process.png 977w, https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/11\/research-publishing-process-300x22.png 300w, https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/11\/research-publishing-process-768x56.png 768w\" sizes=\"(max-width: 977px) 100vw, 977px\" \/><\/span><\/p>\n<p><b><span data-contrast=\"auto\">Manuscript preparation: <\/span><\/b><span data-contrast=\"auto\">In this stage, authors gather research data, perform experiments and analyses, and report their findings in a manuscript that is written and formatted as per the target journal guidelines.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Initial submission: <\/span><\/b><span data-contrast=\"auto\">The authors submit the paper to the journal for publication.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Editorial screening: <\/span><\/b><span data-contrast=\"auto\">The editor-in-chief or the academic editor of the journal screens the submitted manuscript to see whether it aligns with the journal\u2019s aims and scope. The manuscript is also checked for compliance with journal guidelines and may be desk rejected if it does not satisfy the requirements.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Peer review: <\/span><\/b><span data-contrast=\"auto\">The manuscript is assigned to expert reviewers in the field, who evaluate the originality, novelty, quality, and significance of the research. The peer reviewers provide feedback and recommend acceptance, revision, or rejection.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Revision: <\/span><\/b><span data-contrast=\"auto\">The authors rework on their manuscript based on the reviewers\u2019 suggestions and editor\u2019s feedback. The revised manuscripts are resubmitted to the journal along with suitable responses to reviewers\u2019 comments.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Acceptance: <\/span><\/b><span data-contrast=\"auto\">The manuscript is accepted for publication if it meets the journal\u2019s standards. In this stage, the journal will work on typesetting, copyediting, and proofreading the manuscript and the authors may need to approve the final versions before publication.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Publication: <\/span><\/b><span data-contrast=\"auto\">The research is published in the journal, either in print, online, or both, and made available to the readers.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI tools play a significant role in several stages of this entire workflow. But research is no longer about how it is presented; it is also about how it is communicated.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 id=\"ai-in-research-communication\" style=\"padding-top: 80px; margin-top: -80px;\">Role of AI in Research Communication<\/h2>\n<p><span data-contrast=\"auto\">Once your research is published in a journal, there are many ways for you to promote it on various platforms. From creating graphical abstracts to obtaining plain language summaries, AI is known to simplify the process of research communication.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">Visual communication:<\/span><\/b><span data-contrast=\"auto\"> AI-powered tools like <\/span><b><span data-contrast=\"auto\">BioRender<\/span><\/b><span data-contrast=\"auto\"> and <\/span><b><span data-contrast=\"auto\">Mind the Graph<\/span><\/b><span data-contrast=\"auto\"> are popular choices for creating scientifically accurate graphical abstract that help in visual communication of scientific research. Authors need not be designing experts or professionals to create eye-catching graphical abstracts. With a vast selection of graphics and illustrations that cater to various scientific fields, these tools provide authors design templates that can ease the process of creating graphical abstracts.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Plain language summaries:<\/span><\/b><span data-contrast=\"auto\"> Jargon-free plain language summaries help policymakers, patients, or general audiences understand the implications of scientific research. And AI-driven writing aids like <\/span><b><span data-contrast=\"auto\">HypeWrite AI<\/span><\/b><span data-contrast=\"auto\">, <\/span><b><span data-contrast=\"auto\">Paperpal<\/span><\/b><span data-contrast=\"auto\">, and <\/span><b><span data-contrast=\"auto\">Grammarly<\/span><\/b><span data-contrast=\"auto\"> can be useful assistants for authors in this process. <\/span><br \/>\n<span data-contrast=\"auto\">Moreover, readers can get summarized text or bullet points highlighting the key aspects of a lengthy research paper to consume research content easily.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">AI for translation:<\/span><\/b><span data-contrast=\"auto\"> Sharing knowledge with a global audience is no longer a challenge because of AI translation platforms. This benefits both authors and readers, considering that the former gain recognition for their work and the latter can easily access scientific findings without having to worry about language barriers.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Simplified literature search:<\/span><\/b><span data-contrast=\"auto\"> Tools like <\/span><b><span data-contrast=\"auto\">R Discovery<\/span><\/b><span data-contrast=\"auto\">, <\/span><b><span data-contrast=\"auto\">LitMaps<\/span><\/b><span data-contrast=\"auto\">, and <\/span><b><span data-contrast=\"auto\">Research Rabbit <\/span><\/b><span data-contrast=\"auto\">utilize AI to keep track of published scientific research. When scholars, students, and researchers use these tools, features like audio papers, text translation, and collaboration of reading materials makes it extremely convenient for them to access your research.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Nevertheless, no AI tool can replace the critical thinking abilities of humans, and their oversight remains crucial when handling these tools.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 id=\"ai-and-human\" style=\"padding-top: 80px; margin-top: -80px;\">Future of AI and Human Experts in Scientific Research Communication<\/h2>\n<p><span data-contrast=\"auto\">A large part of the scholarly community emanate skepticism when it comes to using AI for scientific research, and they are not entirely wrong. But the problem is not the <\/span><i><span data-contrast=\"auto\">use<\/span><\/i><span data-contrast=\"auto\"> of AI\u2014it\u2019s the <\/span><i><span data-contrast=\"auto\">overuse<\/span><\/i><span data-contrast=\"auto\"> of AI and relying on AI output without questioning its quality and integrity.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Who can forget the AI-generated illustration of a rat with disproportionate genitalia<\/span><span data-contrast=\"auto\">1<\/span><span data-contrast=\"auto\"> and misrepresented text? This mishap could have been easily avoided had the people responsible taken the time to review the graphics rather than blindly rely on AI tools!<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">More recently, a strange phrase occurring in research papers<\/span><span data-contrast=\"auto\">2<\/span><span data-contrast=\"auto\"> was traced back to a mistranslation of a term in a paper published decades ago. \u201c<\/span><i><span data-contrast=\"auto\">Vegetative electron microscopy<\/span><\/i><span data-contrast=\"auto\">,\u201d which is clearly a nonsensical terminology, went unnoticed by researchers, authors, and peer reviewers for years, leading to misguided scientific research. A deep dive into this blunder revealed that a bad digital scan of two papers published in the 1950s mistakenly combined \u201cvegetative\u201d and \u201celectron\u201d from two different columns, resulting in this erroneous term. Since then, it has been inaccurately translated to different languages by GPT models, highlighting the risks of unchecked AI in scientific research.<\/span><\/li>\n<li><span data-contrast=\"auto\">There are even instances of AI tools generating falsified information, such as authorship or citations<\/span><span data-contrast=\"auto\">3<\/span><span data-contrast=\"auto\">, misleading researchers with references to works that did not exist. This is because the tools are trained to always give you an answer, and when they fail to find the information you are looking for, they tend to fabricate data.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Do you still think that human intervention is unimportant? Think again!<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">There are many such instances of AI mistakes that have underscored its limitations. Which is why experts in the industry always recommend cautious usage of tools with adequate human oversight. And if you are wondering where human expertise should intervene when using AI tools, the answer is simple: Everywhere!<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">The developers working on AI tools need to ensure that the information provided to large language models (LLMs) is accurate. Moreover, the configuration and training of AI tools must be carefully monitored to avoid generation of false, non-existent information.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Companies and organizations managing AI-powered platforms should emphasize updating the software on a timely basis and keep eliminating any bugs in the backend.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Users must educate themselves or get training from the right sources before using AI tools for scientific research. For instance, crafting clear, concise, and effective prompts is a skill that will come in handy in the future.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Scientific researchers must do what they do best: Question the integrity of AI-generated information. Always verify authenticity of the <\/span><i><span data-contrast=\"auto\">source<\/span><\/i><span data-contrast=\"auto\"> of the information before presenting it in a research paper.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<h2>Key Takeaway<\/h2>\n<p><span data-contrast=\"auto\">Yes, AI tools are great assistants when integrated into the research workflow, but that\u2019s all they are\u2014<\/span><i><span data-contrast=\"auto\">assistants<\/span><\/i><span data-contrast=\"auto\">. And that\u2019s why the future of scientific research communication will need to be a balanced integration of human + AI.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">References\u00a0<\/span><\/b><\/p>\n<p><span data-contrast=\"auto\">1. Study featuring AI-generated giant rat penis retracted <\/span><a href=\"https:\/\/www.vice.com\/en\/article\/ai-midjourney-rat-penis-study-retracted-frontiers\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">https:\/\/www.vice.com\/en\/article\/ai-midjourney-rat-penis-study-retracted-frontiers\/<\/span><\/a><\/p>\n<p><span data-contrast=\"auto\">2. A strange phrase keeps turning up in scientific papers, but why <\/span><a href=\"https:\/\/www.sciencealert.com\/a-strange-phrase-keeps-turning-up-in-scientific-papers-but-why\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">https:\/\/www.sciencealert.com\/a-strange-phrase-keeps-turning-up-in-scientific-papers-but-why<\/span><\/a><\/p>\n<p><span data-contrast=\"auto\">3. Formatting with AI may be riskier than you realize <\/span><a href=\"https:\/\/www.cliffedekkerhofmeyr.com\/en\/news\/publications\/2025\/Practice\/Knowledge-Management\/knowledge-management-alert-20-june-formatting-with-ai-may-be-riskier-than-you-realise\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">https:\/\/www.cliffedekkerhofmeyr.com\/en\/news\/publications\/2025\/Practice\/Knowledge-Management\/knowledge-management-alert-20-june-formatting-with-ai-may-be-riskier-than-you-realise<\/span><\/a><\/p>\n<p><b><i><span data-contrast=\"auto\">Break that writer\u2019s block! Check out <\/span><\/i><\/b><a href=\"https:\/\/www.editage.com\/paperpal?utm_source=editageinsights&amp;utm_medium=article-boilerplate&amp;utm_campaign=ai-and-human-expertise-in-future-of-research\" target=\"_blank\" rel=\"noopener\"><b><i><span data-contrast=\"none\">Paperpal<\/span><\/i><\/b><\/a><b><i><span data-contrast=\"auto\"> and simplify your academic writing with AI assistance.<\/span><\/i><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The publishing of scientific research has been transformed by the introduction of artificial intelligence (AI) into nearly all aspects of the research workflow. Authors and researchers at all career stages use AI tools for proofreading, paraphrasing, citation management, literature discovery, and text summarization. But beyond this, how is AI contributing to the communication of research? [&hellip;]<\/p>\n","protected":false},"author":70612,"featured_media":39230,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2385],"tags":[2923,2951,5979],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-39225","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science-communication","tag-ai","tag-ai-in-academia","tag-ai-in-research"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Role of AI and Human Expertise in the Future of Research Communication | Editage Insights<\/title>\n<meta name=\"description\" content=\"How AI and human expertise will co-author the future of research communication\u2014writing, reviewing, evaluating, curating, and translating knowledge for global scholarly 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