{"id":46253,"date":"2026-04-15T13:37:36","date_gmt":"2026-04-15T08:07:36","guid":{"rendered":"https:\/\/www.editage.com\/insights\/?p=46253"},"modified":"2026-08-06T17:52:11","modified_gmt":"2026-08-06T12:22:11","slug":"why-ai-assisted-writing-still-need-human-editing","status":"publish","type":"post","link":"https:\/\/www.editage.com\/insights\/why-ai-assisted-writing-still-need-human-editing","title":{"rendered":"Why AI-Assisted Writing\u00a0Still\u00a0Needs Human Editing\u00a0"},"content":{"rendered":"\n<p>With the introduction of artificial intelligence (AI) tools, research paper&nbsp;writing has dramatically evolved in recent years.&nbsp;AI tools are excellent assistants&nbsp;that&nbsp;have eased the process of manuscript preparation. But they do have&nbsp;a few&nbsp;shortcomings.&nbsp;To keep this in check, many journals&nbsp;now outline&nbsp;guidelines for ethical AI use.&nbsp;Yet, researchers struggle&nbsp;to balance&nbsp;AI&nbsp;assistance&nbsp;with human input.&nbsp;<\/p>\n\n\n\n<p><a href=\"#ai-1\">AI&nbsp;Tools:&nbsp;Strengths and Weaknesses&nbsp;<\/a><\/p>\n\n\n\n<p><a href=\"#ai-2\">What Journal Editors Want&nbsp;<\/a><\/p>\n\n\n\n<p><a href=\"#ai-3\">Example 1:&nbsp;Introduction&nbsp;Section Review&nbsp;<\/a><\/p>\n\n\n\n<p><a href=\"#ai-4\">Example 2: Discussion Section Review&nbsp;<\/a><\/p>\n\n\n\n<p><a href=\"#ai-5\">Key Differences: Human vs AI Editors&nbsp;<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai-1\">AI&nbsp;Tools:&nbsp;Strengths and Weaknesses&nbsp;<\/h2>\n\n\n\n<p>Tools like Grammarly, Paperpal,&nbsp;QuillBot, and ChatGPT&nbsp;aid authors in improving the&nbsp;presentation of content.&nbsp;But you need to ensure that the tools&nbsp;don\u2019t&nbsp;overpower your writing. Even if&nbsp;AI tools assist, the decision&nbsp;of retaining&nbsp;that content or&nbsp;modifying&nbsp;it should&nbsp;lie with&nbsp;you. To do this, you should know&nbsp;their strengths and weaknesses.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What AI tools&nbsp;get right:&nbsp;<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Grammar checks&nbsp;<\/li>\n\n\n\n<li>Language enhancements&nbsp;<\/li>\n\n\n\n<li>Structured sentences&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Where AI tools lack:&nbsp;<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Factual accuracy&nbsp;<\/li>\n\n\n\n<li>Nuance &amp; context&nbsp;<\/li>\n\n\n\n<li>Emotional intelligence&nbsp;<\/li>\n\n\n\n<li>Originality &amp; creative depth&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>These drawbacks are often clear in AI-modified writing.&nbsp;That\u2019s&nbsp;why journal editors and peer reviewers report AI hallucinations in research papers.&nbsp;Editors also&nbsp;observe a monotonous&nbsp;tone&nbsp;in the flow of text, making authors sound like&nbsp;a robot.&nbsp;At times,&nbsp;inferences lack&nbsp;insights.&nbsp;This type&nbsp;of writing in research papers can be disappointing for journal editors.&nbsp;So, what exactly do they look for?&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai-2\">What Journal Editors Want&nbsp;<\/h2>\n\n\n\n<p>Journal editors handle thousands of submissions in a day.&nbsp;They only have time to&nbsp;<em>peruse<\/em>&nbsp;a research paper and not&nbsp;<em>read<\/em>&nbsp;it in its entirety.&nbsp;Here are&nbsp;4&nbsp;obvious things&nbsp;to&nbsp;do&nbsp;in a research paper:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Follow journal formatting guidelines.&nbsp;<\/li>\n\n\n\n<li>Structure manuscripts in sections. If journals&nbsp;don\u2019t&nbsp;specify, write&nbsp;standard sections like abstract, keywords, introduction, methods, results, discussion, conclusions, and references.&nbsp;<\/li>\n\n\n\n<li>Write meaningful sub-section headings.&nbsp;<\/li>\n\n\n\n<li>Format citations and references as per journal requirements.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>These things should help you clear that first hurdle of&nbsp;desk checks.&nbsp;But when your paper is sent for peer review,&nbsp;it\u2019s&nbsp;subjected to a deeper evaluation. Peer reviewers will&nbsp;assess&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>whether the research idea is original,&nbsp;&nbsp;<\/li>\n\n\n\n<li>what value it adds to existing knowledge in literature,&nbsp;&nbsp;<\/li>\n\n\n\n<li>how well the study was conducted,&nbsp;<\/li>\n\n\n\n<li>whether&nbsp;accurate&nbsp;methods and techniques were&nbsp;utilized,&nbsp;&nbsp;<\/li>\n\n\n\n<li>if&nbsp;the inferences&nbsp;align with the findings reported,&nbsp;and&nbsp;<\/li>\n\n\n\n<li>whether the&nbsp;future lines of investigation are justified.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>And when they&nbsp;evaluate&nbsp;these aspects, your writing should not appear half-hearted and robotic.&nbsp;The research&nbsp;paper&nbsp;should engage them, tap into their curiosity, present a story&nbsp;that\u2019s&nbsp;interesting to read right until the end, and&nbsp;persuade them&nbsp;that&nbsp;the proposed solution for the identified research problem&nbsp;is worth exploring.&nbsp;<\/p>\n\n\n\n<p>Now, would you expect an AI tool to do all this for you without&nbsp;any&nbsp;human involvement?&nbsp;No, that would be unhelpful.&nbsp;Even after using an AI tool for content enhancement,&nbsp;<a href=\"https:\/\/www.editage.com\/services\/english-editing?utm_source=editageinsights&amp;utm_medium=article&amp;utm_campaign=202604\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>getting an expert editor\u2019s opinion<\/strong><\/a>&nbsp;matters.&nbsp;To better understand this,&nbsp;let\u2019s&nbsp;take examples of actual research drafts and compare&nbsp;their AI-edited versions&nbsp;with human-refined versions.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai-3\">Example 1: Introduction Section&nbsp;Review&nbsp;<\/h2>\n\n\n\n<p>Here\u2019s&nbsp;a part of an Introduction section taken from an actual essay.&nbsp;You\u2019ll&nbsp;see how the author&nbsp;has used&nbsp;plain, basic language. Then, when an AI editing tool is used, the content is enhanced; however, something is lacking.&nbsp;We\u2019ll&nbsp;dive deep to&nbsp;see&nbsp;how an actual editor adds a human touch&nbsp;compared&nbsp;to the AI-edited text.&nbsp;<\/p>\n\n\n\n<p><strong>Context:&nbsp;<\/strong>Public health\/Epidemiology;&nbsp;<strong>Topic:<\/strong>&nbsp;Air pollution and cardiovascular diseases&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Raw researcher draft&nbsp;<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-3114b4882780b75b8d08e2e1bc60f6f3\">Air pollution has become&nbsp;a serious problem&nbsp;in many countries due to rapid urbanization&nbsp;and industrial activities.&nbsp;Exposure to polluted air is known to affect&nbsp;human health and is&nbsp;associated with respiratory and heart-related diseases.&nbsp;Cardiovascular disease is one of the leading causes of death worldwide, and understanding its risk factors is important.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-b360378d3da9bdd0a4d645c082ecac85\">Several studies have investigated the relationship between air pollution and cardiovascular outcomes, but the results are not always consistent.&nbsp;Some studies focus only on particulate matter, while&nbsp;other&nbsp;examine gaseous pollutants.&nbsp;In addition, most&nbsp;previous&nbsp;studies have been conducted in Western populations.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-36c3bcb6cb31460e7ffea960a66cfd0a\">Therefore,&nbsp;the purpose of this study is to investigate the association between air pollution&nbsp;exposure&nbsp;and cardiovascular disease&nbsp;in adults.&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<ul class=\"wp-block-list\">\n<li>This draft&nbsp;presents correct ideas, but the language used is quite basic.&nbsp;&nbsp;<\/li>\n\n\n\n<li>The transition between sentences is weak.&nbsp;&nbsp;<\/li>\n\n\n\n<li>The&nbsp;presentation of ideas appears too generic, lacking specificity.&nbsp;&nbsp;<\/li>\n\n\n\n<li>The research gap is vaguely mentioned but not sufficiently emphasized.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Clearly, the&nbsp;draft is not publication ready.&nbsp;So, the author uses an AI tool to edit and&nbsp;modify&nbsp;their writing.&nbsp;Here\u2019s&nbsp;what the AI output looks like.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">AI-edited text&nbsp;<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote has-text-align-left is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-40fa4b965f77b83f42b7ba15c2a0f474\">Air pollution is a major global health issue and has been linked to many diseases.&nbsp;Many studies show that air pollution can cause heart problems. However,&nbsp;there are still gaps in understanding&nbsp;how different pollutants affect cardiovascular diseases in different populations. Therefore, this study aims to&nbsp;analyze the association between air pollution exposure and cardiovascular outcomes in adults.&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p>The AI tool condensed the information to a single paragraph, does not provide scientific context, and\u00a0has\u00a0eliminated\u00a0technical terminology\u00a0while simplifying the content.\u00a0Several\u00a0AI limitations\u00a0stand out like a sore thumb\u00a0here:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Repetitive phrasing (e.g.,&nbsp;<em>many diseases<\/em>,&nbsp;<em>many studies<\/em>)&nbsp;<\/li>\n\n\n\n<li>Vague claims lacking specificity&nbsp;<\/li>\n\n\n\n<li>Research gap is weakly articulated&nbsp;<\/li>\n\n\n\n<li>Study aim reads too generic&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Now&nbsp;let\u2019s&nbsp;see&nbsp;the outcome&nbsp;if a human&nbsp;editor&nbsp;were to work on&nbsp;the original&nbsp;piece of text.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Human-refined&nbsp;text&nbsp;<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-45d6ed54898d59d756c1872e52939506\">Air pollution is a growing public health concern, driven by rapid urbanization and industrial expansion.&nbsp;Substantial evidence links air pollution exposure to&nbsp;adverse health outcomes, particularly cardiovascular disease (CVD), which&nbsp;remains&nbsp;a leading cause of mortality worldwide.&nbsp;Identifying&nbsp;modifiable environmental risk factors for CVD is therefore of critical importance.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-33c2350c146dc98db274842bd52cd13e\">Although&nbsp;previous&nbsp;studies have explored associations between air pollution and cardiovascular outcomes,&nbsp;results&nbsp;remain&nbsp;inconsistent due to variations in pollutant types&nbsp;examined, exposure assessment methods, and study populations. Notably,&nbsp;evidence from non-Western populations&nbsp;remains&nbsp;limited, despite differing&nbsp;pollution profiles and demographic characteristics.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-d7d31495ba275cbd15146c0ce2de8498\">To address these gaps, the present study&nbsp;investigates the association between&nbsp;long-term exposure to multiple air pollutants and CVD among adults, providing population-specific evidence to inform public health policy.&nbsp;&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p>The first thing&nbsp;to note&nbsp;here is the use of&nbsp;accurate&nbsp;concepts and precise definitions.&nbsp;Notice the addition of the&nbsp;abbreviation&nbsp;CVD; editors know that in long essays and research papers certain technical terminologies tend to repeat. So, it makes sense to define them&nbsp;at&nbsp;their first mentions.&nbsp;<\/p>\n\n\n\n<p>Next, see how the research gap is emphasized. The editor adds a clear explanation for the inconsistency in results. Even the gap with respect to&nbsp;the lack of analysis of&nbsp;varying demographic characteristics and differing pollution profiles is highlighted.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Finally, the precise aim of the study is&nbsp;stated.&nbsp;Overall, the flow of content&nbsp;reads&nbsp;like an academic paper.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What Changed and Why&nbsp;<\/h3>\n\n\n\n<p>Here are a few additions made by the editor beyond AI:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A clear logical progression from background&nbsp;to&nbsp;research gap to&nbsp;study aim&nbsp;<\/li>\n\n\n\n<li>Improved academic tone and precision&nbsp;<\/li>\n\n\n\n<li>Novelty of the study is strongly articulated&nbsp;<\/li>\n\n\n\n<li>The writing aligns better with journal expectations&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Area of improvement&nbsp;<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Why editor changed it<\/strong>&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Opening sentence&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">To&nbsp;immediately&nbsp;establish&nbsp;importance and relevance of the study&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Research gap&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">To clarify what is missing from existing literature&nbsp;&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Specificity&nbsp;&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">To&nbsp;draw the attention of readers to specific problems (e.g.,&nbsp;<em>long-term exposure<\/em>,&nbsp;<em>multiple pollutants<\/em>)&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Study contribution&nbsp;&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">To clearly&nbsp;state&nbsp;what the study adds to the scientific field&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Academic tone&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">To align language with the expectations of high-impact journals&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai-4\">Example 2:&nbsp;Discussion&nbsp;Section&nbsp;Review&nbsp;<\/h2>\n\n\n\n<p>Next,&nbsp;we have&nbsp;text taken from&nbsp;a Discussion&nbsp;section. Different&nbsp;paper, different&nbsp;context.&nbsp;Let\u2019s&nbsp;see how the original draft is changed by an AI editing tool and compare it with the modifications made by a human editor.&nbsp;&nbsp;<\/p>\n\n\n\n<p><strong>Context:&nbsp;<\/strong>Biomedical research;<strong>&nbsp;Topic:&nbsp;<\/strong>Machine learning model for disease risk prediction&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Raw researcher draft&nbsp;<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-224739f6a184f3217d60841344b60652\">In this study, we developed a machine learning model to predict disease risk.&nbsp;The results show that the model performed well with good accuracy. This&nbsp;indicates&nbsp;that machine learning could be useful in medical research.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-45e4d66252c418c2db10022c83ae9061\">The findings are&nbsp;similar to&nbsp;previous&nbsp;studies that also reported&nbsp;good performance&nbsp;of machine learning models. However, there are some limitations in this study.&nbsp;The sample size was&nbsp;small&nbsp;and the data were obtained from a single center.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-324c99431c6d60dd529529e350c0298c\">In the future, more studies should be conducted with larger datasets to confirm the findings.&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sentences appear short, safe&nbsp;<\/li>\n\n\n\n<li>Minimal interpretation of results&nbsp;<\/li>\n\n\n\n<li>Limited engagement with existing literature&nbsp;<\/li>\n\n\n\n<li>Sounds repetitive&nbsp;and written with caution&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>The text does not clearly highlight&nbsp;what\u2019s&nbsp;unique about the study.&nbsp;There\u2019s&nbsp;no discussion on what else is out there&nbsp;and how the study adds value to existing work. So, when refined using an AI tool, this is what you get.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">AI-edited text&nbsp;<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-659d8a1f0b15a61895d81c1105ede282\">The results of this study show that the model performed well and achieved high accuracy. This suggests that machine learning can be useful for predicting disease risk.&nbsp;There are some limitations in this study, such as sample size. Future studies should include more data.&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p>The AI-generated draft&nbsp;has&nbsp;eliminated&nbsp;the repeated content but does not&nbsp;give valuable information. A few limitations noted here are:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Overly generic interpretation of results&nbsp;<\/li>\n\n\n\n<li>There\u2019s&nbsp;no comparison with existing literature&nbsp;<\/li>\n\n\n\n<li>Barely a mention&nbsp;of&nbsp;study&nbsp;limitations&nbsp;<\/li>\n\n\n\n<li>No clarity on practical implications&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>What if a human editor worked on&nbsp;it?&nbsp;Here\u2019s&nbsp;the outcome.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Human-refined text&nbsp;<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-3f750bc970db26ea1a383dc05226f5e0\">This study&nbsp;demonstrates&nbsp;that machine learning models can effectively predict disease risk, highlighting their potential role in supporting clinical decision-making. The observed performance aligns&nbsp;with prior studies,&nbsp;reinforcing the robustness of machine learning approaches across different research settings.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-left has-vivid-red-color has-text-color has-link-color wp-elements-078bae7e80be3df7fae34b9bdf812ef4\">Nevertheless, the study is limited by its single<strong>&#8211;<\/strong>center design and modest sample size, which may affect generalizability.&nbsp;Future multi-center studies incorporating larger and more diverse datasets are&nbsp;warranted&nbsp;to validate and extend these findings.&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p>The original text did not present much scope for&nbsp;improvement in terms of data-specific interpretations and conclusions.&nbsp;But compared to the AI-modified text,&nbsp;you\u2019ll&nbsp;see significant differences in this&nbsp;editor-refined draft.&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Interpretation of findings is grounded in existing literature&nbsp;<\/li>\n\n\n\n<li>There\u2019s balanced and credible discussion of limitations&nbsp;<\/li>\n\n\n\n<li>Future research directions are clear&nbsp;<\/li>\n\n\n\n<li>Scholarly voice and impact appear strong&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">What Changed and Why&nbsp;<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Editing aspect<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>What the editor changed&nbsp;<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Why it matters for journals<\/strong>&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Depth of interpretation<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shifted from&nbsp;describing results to explaining their significance and implications&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Journals&nbsp;prioritize insights over description&nbsp;because interpretation&nbsp;demonstrates&nbsp;author\u2019s&nbsp;expertise&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Clarity &amp; precision<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Vague terms are replaced with discipline-specific language&nbsp;&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ambiguity weakens credibility; precision&nbsp;strengthens scientific rigor&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Tone &amp; academic voice<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Overgeneralization is eliminated, yet there\u2019s balance between confidence and caution&nbsp;&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Overstating your claims could lead to rejection; the tone should align with editorial standards and reviewer expectations&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Mistakes AI Tools Make When Editing Research Papers!\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/XbOStJFImQM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai-5\">Key Differences: Human vs AI Editors&nbsp;<\/h2>\n\n\n\n<p>Both&nbsp;the examples&nbsp;demonstrate&nbsp;that&nbsp;where AI tools fail,&nbsp;humans add a unique touch that&nbsp;retains&nbsp;the author\u2019s original voice.&nbsp;Human editors adjust the phrasing to match the expectations of high-impact journals because&nbsp;they\u2019re&nbsp;aware that manuscripts are evaluated for journal fit and not just language quality.&nbsp;Also, journals scrutinize AI usage and research integrity;&nbsp;<strong><a href=\"https:\/\/www.editage.com\/services\/english-editing?utm_source=editageinsights&amp;utm_medium=article-bolierplate&amp;utm_campaign=202604\" target=\"_blank\" rel=\"noreferrer noopener\">professional&nbsp;editors<\/a><\/strong>&nbsp;verify the accuracy of content and ensure author accountability.&nbsp;&nbsp;<\/p>\n\n\n\n<p>To summarize,&nbsp;here\u2019s&nbsp;a comparison of AI tools with human editors&nbsp;on&nbsp;different aspects&nbsp;of editing:&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Editing aspect<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>AI tools<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\"><strong>Human editors<\/strong>&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Grammar<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Strong&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Strong&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Logic &amp; flow<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Limited&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Excellent&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Journal fit<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">No&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yes&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Ethical oversight<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">No&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yes&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Manuscript formatting<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">No&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yes&nbsp;<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Reviewer perspective<\/strong>&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">No&nbsp;<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yes&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>With the introduction of artificial intelligence (AI) tools, research paper&nbsp;writing has dramatically evolved in recent years.&nbsp;AI tools are excellent assistants&nbsp;that&nbsp;have eased the process of manuscript preparation. But they do have&nbsp;a few&nbsp;shortcomings.&nbsp;To keep this in check, many journals&nbsp;now outline&nbsp;guidelines for ethical AI use.&nbsp;Yet, researchers struggle&nbsp;to balance&nbsp;AI&nbsp;assistance&nbsp;with human input.&nbsp; AI&nbsp;Tools:&nbsp;Strengths and Weaknesses&nbsp; What Journal Editors Want&nbsp; Example [&hellip;]<\/p>\n","protected":false},"author":70612,"featured_media":46266,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_ayudawp_aiss_exclude":false,"_ayudawp_aiss_summary":"These drawbacks are often clear in AI-modified writing.&nbsp;That\u2019s&nbsp;why journal editors and peer reviewers report AI hallucinations in research papers.&nbsp;Editors also&nbsp;observe a monotonous&nbsp;tone&nbsp;in the flow of text, making authors sound like&nbsp;a robot.&nbsp;At times,&nbsp;inferences lack&nbsp;insights.&nbsp;This type&nbsp;of writing in research papers can be disappointing for journal editors.&nbsp;So, what exactly do they look for?&nbsp;. Peer reviewers will&nbsp;assess&nbsp;&nbsp;. whether the research idea is original,&nbsp;&nbsp;. what value it adds to existing knowledge in literature,&nbsp;&nbsp;. how well the study was conducted,&nbsp;. whether&nbsp;accurate&nbsp;methods and techniques were&nbsp;utilized,&nbsp;&nbsp;. if&nbsp;the inferences&nbsp;align with the findings reported,&nbsp;and&nbsp;. whether the&nbsp;future lines of investigation are justified.&nbsp;. Both&nbsp;the examples&nbsp;demonstrate&nbsp;that&nbsp;where AI tools fail,&nbsp;humans add a unique touch that&nbsp;retains&nbsp;the author\u2019s original voice.&nbsp;Human editors adjust the phrasing to match the expectations of high-impact journals because&nbsp;they\u2019re&nbsp;aware that manuscripts are evaluated for journal fit and not just language quality.&nbsp;Also, journals scrutinize AI usage and research integrity;&nbsp;professional&nbsp;editors&nbsp;verify the accuracy of content and ensure author accountability.&nbsp;&nbsp;.","_ayudawp_aiss_summary_provider":"extractive","_ayudawp_aiss_summary_hash":"72ddd94d6172a5cc4d28a2e8348765ff434dc29b","footnotes":""},"categories":[2934],"tags":[6480,6481,5967,6482],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-46253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-digital-transformation","tag-ai-editing","tag-ai-tools-for-editing","tag-english-editing","tag-human-editing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Why AI-Assisted Writing Still Need Human Editing | Editage Insights<\/title>\n<meta name=\"description\" content=\"AI tools can speed up writing, but human editing ensures quality. 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