{"id":2385,"date":"2026-09-29T00:09:38","date_gmt":"2026-09-28T18:39:38","guid":{"rendered":"https:\/\/www.editage.com\/blog\/?p=2385"},"modified":"2026-09-28T08:26:32","modified_gmt":"2026-09-28T02:56:32","slug":"ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research","status":"publish","type":"post","link":"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/","title":{"rendered":"AI Ethics and Research Integrity: Responsible AI Use in Academic Research"},"content":{"rendered":"<p><strong>Highlights<\/strong><\/p>\n<ul>\n<li>AI use is generally acceptable in research provided you verify the output and disclose how you\u2019ve used AI.<\/li>\n<li>Before even opening your AI tool, always check for university and funder permission, data retention and security policies, and IRB approval of AI use.<\/li>\n<li>Make sure you understand AI bias and set up a concrete set of steps to prevent and spot AI hallucinations.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Core_AI_Ethics_that_Researchers_Should_Know\" >Core AI Ethics that Researchers Should Know<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Transparency\" >Transparency<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Accountability\" >Accountability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Fairness\" >Fairness<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Privacy\" >Privacy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Safety\" >Safety<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#AI_Research_Ethics_Reporting_Standards_and_Guidelines\" >AI Research Ethics: Reporting Standards and Guidelines<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#AI_Bias_and_How_to_Mitigate_It\" >AI Bias and How to Mitigate It<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#What_is_AI_bias\" >What is AI bias?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Data_Fabrication_Using_AI_Rules_for_Using_Synthetic_Data\" >Data Fabrication Using AI: Rules for Using Synthetic Data<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#How_to_prevent_data_fabrication_if_youre_using_AI\" >How to prevent data fabrication if you\u2019re using AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Synthetic_Data_What_it_is_and_how_to_use_it\" >Synthetic Data: What it is and how to use it<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Checking_AI_Output_for_Hallucinations_and_Fabricated_References\" >Checking AI Output for Hallucinations and Fabricated References<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#Practical_Tips_for_Responsible_AI_Use\" >Practical Tips for Responsible AI Use<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.editage.com\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/#References\" >References<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Core_AI_Ethics_that_Researchers_Should_Know\"><\/span>Core AI Ethics that Researchers Should Know<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The key principles that researchers should follow when <a href=\"https:\/\/www.editage.com\/blog\/how-to-use-ai-to-write-a-research-paper-tools-prompts-and-workflow-to-prevent-hallucination-and-sound-human\/\">using AI in manuscript writing<\/a> or for research are transparency, accountability, fairness, privacy, and safety.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Transparency\"><\/span>Transparency<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>You need to disclose what you used AI for, which AI tool, model, and version you used, and whether you checked its output. Don\u2019t just say \u201cWe used Paperpal\u201d but \u201cWe used Paperpal to proofread the paper and format the reference list. We verified all corrections made by the tool and take responsibility for the final contents.\u201d<\/p>\n<p>If AI was used in the research methodology, such as extracting data for a systematic review or generating analysis code, you also need to provide detailed information about what prompts you used, what was the AI output at each stage, and the <a href=\"https:\/\/www.editage.com\/blog\/how-to-check-for-hallucinations-in-ai-text-examples-and-checklist-for-researchers-and-students\/\">exact checks you ran to verify that output<\/a>.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Accountability\"><\/span>Accountability<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>An AI tool or its developer cannot be held responsible for errors in your research paper. Only named human authors hold accountability. You not only <a href=\"https:\/\/www.editage.com\/blog\/first-author-vs-corresponding-author-in-a-research-paper-how-to-decide-authorship-with-examples-templates\/#Can_AI_Be_Listed_as_an_Author_on_a_Research_Paper\">cannot list AI as an author<\/a> but you also cannot blame AI for <a href=\"https:\/\/www.editage.com\/blog\/ai-accuracy-in-research-writing-how-reliable-is-ai-for-researchers\/\">accuracy issues<\/a> raised during peer review (this is akin to an accountant blaming the calculator because their books don\u2019t balance).<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Fairness\"><\/span>Fairness<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>This means you make sure that any AI tool you use treats all groups equitably and doesn\u2019t reinforce or introduce stereotypes or biases. This is particularly important for disadvantaged and vulnerable groups.<\/p>\n<p>Okay, you can argue that kind of fairness appears to be in the hands of the tool developers. But it\u2019s also your duty to critically examine the training data of an AI tool you plan to use. Incomplete or less-representative data sets cause models to learn societal prejudices.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Privacy\"><\/span>Privacy<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Data privacy is what many <a href=\"https:\/\/www.editage.com\/blog\/informed-consent-and-irb-approval-a-practical-guide-for-researchers\/\">institutional review boards<\/a> (IRBs) take researchers to task about. Data uploaded into an AI tool can be considered \u201cdisclosure\u201d, even more so if it\u2019s a free tool that doesn\u2019t have a clearly stated data retention policy. Many popular large language models (LLMs) like ChatGPT retain the right to use model inputs as training data in their free versions.<\/p>\n<p>If you\u2019re collecting human-subjects data, you should<\/p>\n<ol>\n<li>Always inform your IRB about whether you plan to use AI in the study and for what<\/li>\n<li>Choose, as much as possible, enterprise-grade AI tools that have a signed agreement with your institution regarding data retention and privacy.<\/li>\n<li>Make sure data are fully anonymized before uploading into AI.<\/li>\n<li>Check with your IRB about whether your informed consent forms also need to include a section on AI use in your study, in plain language.<\/li>\n<\/ol>\n<h3><span class=\"ez-toc-section\" id=\"Safety\"><\/span>Safety<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Ensuring data safety if you\u2019re using AI means doing the following:<\/p>\n<ol>\n<li>Never input sensitive, confidential, or private participant data (like medical records or names) into public generative AI tools<\/li>\n<li>Use local tools where possible, that run on your own computer, rather than tools on external servers.<\/li>\n<li>Find out how any tool you\u2019re using stores and transmits data. (If this is a tool that your university has purchased and has a formal agreement with, your institution will have already vetted the vendor\u2019s adherence to best practices.)<\/li>\n<li>If your institution has an Information Security Office, Data Privacy Office, or Research Compliance Office, consult them before you input your research data into an AI tool.<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"AI_Research_Ethics_Reporting_Standards_and_Guidelines\"><\/span>AI Research Ethics: Reporting Standards and Guidelines<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The following are commonly used resources and guidelines on the use of AI, specifically generative AI, in research:<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"301\"><strong>Guideline<\/strong><\/td>\n<td width=\"301\"><strong>What it tells you<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"301\"><a href=\"https:\/\/ebm.bmj.com\/content\/30\/6\/390\">GAMER<\/a><\/td>\n<td width=\"301\">Basic rules about using generative AI in medical research<\/td>\n<\/tr>\n<tr>\n<td width=\"301\"><a href=\"https:\/\/www.nature.com\/articles\/s41591-020-1034-x\">CONSORT-AI extension<\/a><\/td>\n<td width=\"301\">How to report a clinical trial of an intervention that has an AI component<\/td>\n<\/tr>\n<tr>\n<td width=\"301\"><a href=\"https:\/\/www.equator-network.org\/reporting-guidelines\/spirit-artificial-intelligence\/\">SPIRIT-AI extension<\/a><\/td>\n<td width=\"301\">How to report the <em>protocol <\/em>of a clinical trial on an intervention that has an AI component<\/td>\n<\/tr>\n<tr>\n<td width=\"301\"><a href=\"https:\/\/www.nature.com\/articles\/s41591-025-03953-8\">STARD-AI<\/a><\/td>\n<td width=\"301\">What to report in a diagnostic accuracy study of a tool or system that involves AI<\/td>\n<\/tr>\n<tr>\n<td width=\"301\"><a href=\"https:\/\/pubs.rsna.org\/doi\/10.1148\/ryai.240300\">Checklist for Artificial Intelligence in Medical Imaging (CLAIM)<\/a><\/td>\n<td width=\"301\">Key components of a manuscript that reports on any use of AI in medical imaging<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Beyond these, you should also refer to the following:<\/p>\n<ul>\n<li><a href=\"https:\/\/publicationethics.org\/cope-focus\/artificial-intelligence\">COPE Focus on Artificial Intelligence<\/a>: A constantly evolving collection of resources on the ethics of AI use in publication contexts. This includes case studies, videos, and discussion forums.<\/li>\n<li><a href=\"https:\/\/www.icmje.org\/recommendations\/browse\/artificial-intelligence\/\">ICMJE Guidelines on Use of Artificial Intelligence in Publishing<\/a>: Detailed explanations of what AI use is permissible or not specifically in scholarly publishing, with separate guidelines for authors, peer reviewers, and journal editors.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"AI_Bias_and_How_to_Mitigate_It\"><\/span>AI Bias and How to Mitigate It<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"What_is_AI_bias\"><\/span>What is AI bias?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>AI bias is a systematic and repeatable error in an artificial intelligence system that creates unfair, skewed, or discriminatory outcomes. In research, the risk is that this skew influences the study findings, often without the researcher knowing.<\/p>\n<p>Here are the ways in which AI bias creeps in at different stages of the study, and what you can do to mitigate it.<\/p>\n<p>&nbsp;<\/p>\n<table>\n<thead>\n<tr>\n<td><strong>Bias<\/strong><\/td>\n<td><strong>How it shows up<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Anchoring bias<\/strong><\/td>\n<td>The model&#8217;s first draft of a code scheme, hypothesis or theme list becomes the frame you work within. Alternatives you&#8217;d have generated yourself never get considered.<\/td>\n<\/tr>\n<tr>\n<td><strong>Sycophancy<\/strong><\/td>\n<td>The model shifts to agree with whatever position you signal, so it can&#8217;t function as a critic or devil&#8217;s advocate. E.g.,<\/td>\n<\/tr>\n<tr>\n<td><strong>Majority \/ mainstream bias<\/strong><\/td>\n<td>Heterodox findings, replication failures and minority positions are under-represented.<\/td>\n<\/tr>\n<tr>\n<td><strong>Matthew effect in citations<\/strong><\/td>\n<td>Highly-cited work is recalled more readily, so AI-assisted literature reviews over-weight papers with high citation counts, and miss very recent or older ones<\/td>\n<\/tr>\n<tr>\n<td><strong>WEIRD and linguistic bias<\/strong><\/td>\n<td>Defaults to Western, English-language, high-income contexts. Ask about &#8220;typical family structure&#8221; or &#8220;normal lab practice&#8221; and you get a narrow answer presented as universal.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_Fabrication_Using_AI_Rules_for_Using_Synthetic_Data\"><\/span>Data Fabrication Using AI: Rules for Using Synthetic Data<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Generative AI can quickly build synthetic survey data, clinical trial metrics, or epidemiological records that look real. Chatbots can write perfectly structured and convincing scientific manuscripts with fake figures, methods, and references.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_to_prevent_data_fabrication_if_youre_using_AI\"><\/span>How to prevent data fabrication if you\u2019re using AI<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ol>\n<li>Always verify any numerical values that AI extracts in a literature synthesis or summary.<\/li>\n<li>Lock your numerical results before using AI for drafting or editing a section.<\/li>\n<li>Do not use AI to enhance or edit your figures and images. Use only conventional scientific illustration tools.<\/li>\n<li>Do not ask a chatbot to run any kind of calculations or analyses. Use legit statistical software for this (SPSS, R, STATA, etc.).<\/li>\n<\/ol>\n<h3><span class=\"ez-toc-section\" id=\"Synthetic_Data_What_it_is_and_how_to_use_it\"><\/span>Synthetic Data: What it is and how to use it<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Synthetic data is generated by AI models to mimic the statistical patterns of real-world data. Its main purpose is to train machine learning models when real data is scarce, expensive, or private.<\/p>\n<h4>Example<\/h4>\n<p>If a hospital wants to let outside researchers develop methods on patient data, a synthetic version can allow that work without exposing individuals. Synthetic data is also useful for testing analysis pipelines before touching sensitive files, for teaching, and for sharing reproducible examples alongside a paper.<\/p>\n<h4>Advantages<\/h4>\n<p>The advantages of synthetic data are that<\/p>\n<ol>\n<li>It\u2019s cheap and fast to produce<\/li>\n<li>It can cover edge-case scenarios like rare medical conditions<\/li>\n<li>Since it\u2019s fictional, it has fewer privacy and confidentiality requirements compared to data from real human subjects.<\/li>\n<\/ol>\n<h4>How to use synthetic data ethically<\/h4>\n<p>The most important thing researchers should do when using synthetic data is to disclose it. Your paper must describe how the data were generated, and explicitly report which conclusions rest on synthetic data. Never present synthetic results as empirical findings. That\u2019s data fabrication.<\/p>\n<p>Second, be sure to validate your conclusions. Conclusions that are based on synthetic data should be confirmed on real data before being treated as knowledge about the world. Synthetic data is a tool for developing and sharing methods. It doesn\u2019t tell you about real human beings.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Checking_AI_Output_for_Hallucinations_and_Fabricated_References\"><\/span>Checking AI Output for Hallucinations and Fabricated References<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Using AI responsibly means setting up a solid <a href=\"https:\/\/www.editage.com\/blog\/how-to-check-for-hallucinations-in-ai-text-examples-and-checklist-for-researchers-and-students\/\">hallucination verification workflow<\/a>. Understand what <a href=\"https:\/\/www.editage.com\/blog\/what-are-ai-hallucinations-in-research-causes-examples-and-risks\/\">kinds of hallucinations<\/a> AI can produce and devise steps to spot and address them. Examples include:<\/p>\n<ol>\n<li>Using purpose-built literature search tools that search a limited set of real databases<\/li>\n<li>Manually verifying every DOI in citations and references generated by AI<\/li>\n<li>Using an AI language editing tool that indicates every change and allows you to accept or reject one change at a time.<\/li>\n<li>Not copy-pasting any AI output into a manuscript file without checking the claims in it.<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"Practical_Tips_for_Responsible_AI_Use\"><\/span>Practical Tips for Responsible AI Use<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>Check your institution\u2019s and funder\u2019s guidelines around AI use before using any AI.<\/li>\n<li>Depending on your study type (e.g., systematic review), look at the guidelines of 4-5 major journals in your field to see what tasks they permit using AI for. This can prevent desk rejection for improper AI use.<\/li>\n<li>Make sure all your co-authors are informed about any restrictions on using AI, agree to what tasks will be done using AI (including which tools), and who will verify the AI output, and how.<\/li>\n<li>Keep a record of what tasks you used AI for, throughout the research process.<\/li>\n<li>Save your prompts and AI output as shareable links in a separate file.<\/li>\n<li>Set up a definite AI verification workflow for any AI output.<\/li>\n<li>Before submission, re-read your journal guidelines and prepare an AI disclosure statement as required.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"References\"><\/span>References<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>Guetterman TC, et al. Ethical considerations for the use of artificial intelligence in qualitative research: Questions for researchers, ethics boards, and reviewers. <a href=\"https:\/\/doi.org\/10.1016\/j.metip.2026.100266\">https:\/\/doi.org\/10.1016\/j.metip.2026.100266<\/a><\/li>\n<li>Resnik DB &amp; Hosseini M. The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool. DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1007\/s43681-024-00493-8\">1007\/s43681-024-00493-8<\/a><\/li>\n<li>Luo X, et al. Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement. <a href=\"https:\/\/doi.org\/10.1136\/bmjebm-2025-113825\">https:\/\/doi.org\/10.1136\/bmjebm-2025-113825<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"Highlights AI use is generally acceptable in research provided you verify the output and disclose how you\u2019ve used AI. Before even opening your AI tool, always check for university and funder permission, data retention and security policies, and IRB approval of AI use. Make sure you understand AI bias and set up a concrete set [&hellip;]","protected":false},"author":3,"featured_media":2391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_ayudawp_aiss_exclude":false,"_ayudawp_aiss_summary":"We verified all corrections made by the tool and take responsibility for the final contents.\u201d If AI was used in the research methodology, such as extracting data for a systematic review or generating analysis code, you also need to provide detailed information about what prompts you used, what was the AI output at each stage, and the exact checks you ran to verify that output. If your institution has an Information Security Office, Data Privacy Office, or Research Compliance Office, consult them before you input your research data into an AI tool. The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool.","_ayudawp_aiss_summary_provider":"extractive","_ayudawp_aiss_summary_hash":"5e813f32b869f4307da8e71a5a549006981232c1"},"categories":[4],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Ethics and Research Integrity: Responsible AI Use in Academic Research - Educational Articles For Researchers, Students And Authors - Editage Blog<\/title>\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\/blog\/ai-ethics-and-research-integrity-responsible-ai-use-in-academic-research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Ethics and Research Integrity: Responsible AI Use in Academic Research - Educational Articles For Researchers, Students And Authors - Editage Blog\" \/>\n<meta property=\"og:description\" content=\"Highlights AI use is generally acceptable in research provided you verify the output and disclose how you\u2019ve used AI. Before even opening your AI tool, always check for university and funder permission, data retention and security policies, and IRB approval of AI use. 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