{"id":3850,"date":"2022-02-18T12:22:01","date_gmt":"2022-02-18T12:22:01","guid":{"rendered":"https:\/\/www.editage.com\/insights\/what-you-need-to-know-about-artificial-intelligence-in-research-and-publishing\/"},"modified":"2026-04-02T09:45:58","modified_gmt":"2026-04-02T04:15:58","slug":"what-you-need-to-know-about-artificial-intelligence-in-research-and-publishing","status":"publish","type":"post","link":"https:\/\/www.editage.com\/insights\/what-you-need-to-know-about-artificial-intelligence-in-research-and-publishing","title":{"rendered":"What you need to know about artificial intelligence in research and publishing"},"content":{"rendered":"

Artificial intelligence (AI) makes it possible for machines to \u201clearn\u201d and perform human-like tasks. Every industry is now<\/span><\/span><\/span><\/span> implementing some form of AI, and these applications are continuing to grow. AI has become a part of our daily lives too. Moments ago, as I sat typing this, AlexaTM<\/sup> informed me that based on my previous purchases, it might be time to re-order microwaveable popcorn!<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

As with nearly any industry, AI technology has made inroads into various processes in the publishing industry. The scope and applications of AI throughout the publication process are tremendous and constantly evolving.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

AI can assist authors, editors, and publishers<\/span><\/span><\/span><\/b><\/span><\/span><\/span><\/h2>\n

AI in publishing is no longer just a novelty; it is being applied at various points in the publication pipeline. Further, the growing volume of open access scholarly content, including datasets and code, provides a rich resource for training datasets.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

Authors can harness AI tools to speed up the publication cycle<\/span><\/span><\/span><\/i><\/b><\/span><\/span><\/span><\/h3>\n

Several AI offerings can support different steps in the scholarly publication cycle. AI-powered tools for literature discovery and summarization can free up time for other research activities. AI-trained platforms can assist with grammar and language checks and formatting checks. Further, AI-based pre-peer review screening can guide authors to revise their paper before it is sent for peer review. This reduces the chances of desk rejection and can shorten the peer review period. <\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

Editors and reviewers can benefit from AI tools for faster turnarounds<\/span><\/span><\/span><\/i><\/b><\/span><\/span><\/span><\/h3>\n

At journal editorial offices, AI tools have the potential to take the load off various tedious tasks\u2014managing astronomical submission volumes, increasing process efficiency, and developing more efficient peer review processes. AI has been used to assist with selecting journals, identifying a paper\u2019s subject matter, determining if the subject falls within the journal\u2019s scope, suggesting reviewers, assessing language quality, detecting plagiarism and duplicate submission, formatting documents, and assessing the appropriateness of experimental design and statistical analyses.1 <\/sup>Other opportunities include assessing the novelty of a study and checking for ethical compliance, copyright issues, and image duplication. The opportunities for AI in publishing are expected to keep growing and evolving rapidly.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

AI-related developments in the industry<\/span><\/span><\/span><\/b><\/span><\/span><\/span><\/h2>\n

Many AI tools use machine learning and natural language processing of big datasets. Generative Pretrained Transformer 3 (GPT-3), created by OpenAI, is a language model that<\/span> generates fluent strings of text after deep learning from a mind-boggling number of books, articles, and websites.2<\/sup><\/span><\/span><\/span><\/span><\/p>\n

Let\u2019s take a look at some important advances in AI in scholarly publishing.<\/span><\/span><\/span><\/span><\/p>\n

1. Article summarizer tools<\/span><\/span><\/span><\/span><\/span><\/i><\/span><\/span><\/span><\/h4>\n

In this era of information overload, it is impossible to read all the content pertinent to a topic. TL;DR (too long; didn\u2019t read)\u2014a relatively new acronym in daily parlance\u2014aptly captures our daily struggle with information overload. At some point, we have all wished for a long text to magically get converted to a concise, readable extract. <\/span><\/span><\/span><\/span><\/span>TLDR This<\/span><\/span><\/span><\/span><\/a> does exactly this, i.e., \u201chuman-like summarization.\u201d This free tool uses advanced AI models to generate the gist of any text quickly, without the user having to read all the paragraphs. Other text summarizing tools are <\/span><\/span><\/span><\/span><\/span>Scholarcy<\/span><\/span><\/span><\/span><\/a> and <\/span><\/span><\/span><\/span><\/span>UNSILO<\/span><\/span><\/span><\/span><\/a> (a <\/span><\/span><\/span><\/span><\/span>Cactus Communications<\/span><\/span><\/span><\/span><\/a> brand), which automatically extract key concepts to summarize manuscript content.3<\/sup> Summarizer tools can be used at the pre-peer review stage to check subject matter and relevance to a journal\u2019s scope. Such tools can also be of great help to an author at the literature review stage.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

2. Literature discovery tools<\/span><\/span><\/span><\/span><\/span><\/i><\/span><\/span><\/span><\/h4>\n

3. Identification of image manipulation<\/span><\/span><\/span><\/span><\/span><\/i><\/span><\/span><\/span><\/h4>\n

Computer vision is a field of AI in which computers are trained to interpret and understand visual elements. Using digital images and deep learning models, machines can accurately identify and classify objects. Publishers are beginning to adopt AI to spot image fraud in submitted papers. Early last year, journals published by the American Association for Cancer Research (AACR) began to carry out such added checks on manuscripts provisionally accepted after peer review. They use AI-powered software from Proofig, which alerts editors to duplicated images, as well as those with parts that have been doctored by rotation, flipping, or stretching.4<\/sup><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

4. AI-powered academic editing <\/span><\/span><\/span><\/i><\/span><\/span><\/span><\/h4>\n

Human oversight is needed with AI in research and publishing <\/span><\/span><\/span><\/b><\/span><\/span><\/span><\/h2>\n

The advancements in AI in research and publishing are exciting. However, complete reliance on AI for any of the mentioned steps should be avoided. For instance, editorial decisions indicated by AI must involve an editor on the acceptance or rejection of a manuscript. Similarly, in flagging research misconduct based on AI, human intervention for verification and final decision-making is essential. Further, AI tools are prone to biases that exist in the databases they are trained on; any potential biases should be corrected and the tools updated accordingly. <\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

Wrapping it up<\/span><\/span><\/span><\/span><\/span><\/b><\/span><\/span><\/span><\/h2>\n

Opportunities for AI in publishing are expanding rapidly. AI provides exciting opportunities for designing intelligent products and devising novel service offerings. Aided by an array of AI solutions, authors, editors, and publishers can perform their tasks with increased efficiency.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

References<\/span><\/span><\/span><\/b><\/span><\/span><\/span><\/h3>\n

2. Hutson, M. Robo-writers: the rise and risks of language-generating AI. Nature<\/i> 591<\/b>, 22\u201325 (2021). doi: <\/span><\/span><\/span><\/span>https:\/\/doi.org\/10.1038\/d41586-021-00530-0<\/span><\/span><\/span><\/a><\/span><\/span><\/span><\/p>\n

3<\/span>. <\/span>Checco, A., Bracciale, L., Loreti, P. et al.<\/i> AI-assisted peer review. Humanit Soc Sci Commun<\/i> 8<\/b>, <\/b>25 (2021). <\/span>https:\/\/doi.org\/10.1057\/s41599-020-00703-8<\/a><\/span><\/span><\/span><\/span>
\n4. Van Noorden, R. Journals adopt <\/span><\/span><\/span><\/span>AI to spot duplicated images in manuscripts Nature<\/em> 601<\/strong>, 14\u201315 (2021). doi: <\/em><\/span><\/span><\/span><\/span>https:\/\/doi.org\/10.1038\/d41586-021-03807-6<\/span><\/span><\/span><\/a> <\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

5. Else, H. (2021) \u2018Tortured phrases\u2019 give away fabricated research papers. <\/span>Nature<\/span><\/i> 596<\/b>, 328\u2013329 (2021) doi: <\/span>https:\/\/doi.org\/10.1038\/d41586-021-02134-0<\/a><\/span> <\/span><\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence (AI) makes it possible for machines to \u201clearn\u201d and perform human-like tasks. Every industry is now implementing some form of AI, and these applications are continuing to grow. AI has become a part of our daily lives too. Moments ago, as I sat typing this, AlexaTM informed me that based on my previous […]<\/p>\n","protected":false},"author":481,"featured_media":45281,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2417],"tags":[2743],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-3850","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-planning-to-write","tag-ai-for-researchers"],"acf":[],"yoast_head":"\nArtificial intelligence to write a research paper | Editage Insights<\/title>\n<meta name=\"description\" content=\"Learn how to use AI to write a research paper, conduct a literature search, and work more efficiently.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/insights\/what-you-need-to-know-about-artificial-intelligence-in-research-and-publishing\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What you need to know about artificial intelligence in research and publishing | Editage Insights\" \/>\n<meta property=\"og:description\" content=\"An article on how artificial intelligence is evolving in academic publishing. 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1. COPE Council (2021). COPE Discussion Document: Artificial intelligence (AI) in decision-making. <\/span><\/span><\/span>https:\/\/doi.org\/10.24318\/9kvAgrnJ<\/span><\/span><\/span><\/a> <\/span><\/span><\/span><\/p>\n

Another unwanted outcome of complete dependence on software screening is that some authors try to use AI to override the software, e.g., tweaking text to escape plagiarism detection (case in point: <\/span><\/span><\/span>tortured phrases<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/a>). Sophisticated AI-powered generation techniques can produce text indistinguishable from that of humans. A team of computer scientists led by Guillaume Cabanac identified scientific texts with tortured phrases or \u201cunexpected weird phrases in lieu of established ones\u201d in reputable journals.5<\/sup> (A fitting example of a tortured phrase is \u201ccounterfeit consciousness\u201d instead of \u201cartificial intelligence\u201d!) This discovery by Cabanac et al.<\/i> only underscores the irreplaceable human role in <\/span><\/span><\/span><\/span><\/span>AI technology, and that AI in publishing should serve as an alerting mechanism<\/span><\/span> and support stakeholders in making informed choices.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

There are numerous language-support services available to researchers today. Many researchers may need quick checks of their manuscripts if they do not have the time or the skill level needed to have them checked for language. AI tools can come in handy in such cases. An example of <\/span><\/span><\/span><\/span><\/span><\/span>such a tool is Paperpal<\/a><\/span><\/span><\/span><\/span><\/span>, an AI-powered language-correction service offered by Cactus Communications. This tool has been trained on millions of research papers edited by expert editors from various disciplines. Besides effectively correcting language errors, it also ensures the correct use of domain-specific terminology.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

Machine learning can help develop algorithms that follow what you read and why. This can translate into a great time-saving tactic for researchers who have reams of literature to sift through. <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>R Discovery<\/a><\/span><\/span><\/span><\/span><\/span> is a free literature discovery app; o<\/span><\/span><\/span>nce you set up your areas of interest,<\/span><\/span><\/span> the app finds the top three papers<\/span><\/span><\/span> and presents them in the form of a daily feed<\/span><\/span><\/span>.<\/span><\/span><\/span> R Discovery<\/span><\/span><\/span> is AI driven, offering<\/span><\/span><\/span><\/span><\/span> customized research reading by learning the user\u2019s reading interests. It also intuitively provides key highlights, summaries, and roundups of research relevant to the user\u2019s field.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n