{"id":12082,"date":"2024-12-18T10:14:46","date_gmt":"2024-12-18T15:14:46","guid":{"rendered":"https:\/\/www.rochester.edu\/university-research\/?page_id=12082"},"modified":"2026-09-28T14:41:24","modified_gmt":"2026-09-28T18:41:24","slug":"responsible-use-gen-ai","status":"publish","type":"page","link":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/","title":{"rendered":"Responsible Use of Generative Artificial Intelligence in Research"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":76,"featured_media":0,"parent":12062,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-12082","page","type-page","status-publish","hentry"],"acf":{"lead_in":"","display_title":"","subtitle":"Key principles to guide institutional and investigator behavior","call_to_action":"","hero_image_placement":"no_image","hero_media":"images","hero_pattern_option":"","hero_video":"","hero_image_landing":"","hero_image_landing_two":"","hero_image_landing_three":"","content_modules":[{"acf_fc_layout":"text","anchor":"","css_class":"pt-15 mt-0","title":"","content":"AI in research brings <a class=\"u-link-external\" href=\"https:\/\/boundless.rochester.edu\/strategic-plan\/research\/\">boundless possibilities<\/a>, enabling us to be at the forefront of groundbreaking discoveries. These guidelines aim to both promote innovation <em>and<\/em> maintain excellence in all of the University's research endeavors.\r\n\r\nOn this page, you'll find <a href=\"#principles\">principles<\/a> that are foundational to the integrity of research processes, and that help guide research conduct and reporting when applying Generative AI (GenAI). <a class=\"u-link-pdf\" href=\"https:\/\/www.rochester.edu\/university-research\/wp-content\/uploads\/2024\/12\/Research-and-GenAI-Guidlines_FINAL_12.12.24.pdf\">Download the full guidelines now<\/a>, or read on to learn more.\r\n\r\n<a class=\"button ghost-button--blue\" href=\"https:\/\/www.rochester.edu\/university-research\/wp-content\/uploads\/2024\/12\/Research-and-GenAI-Guidlines_FINAL_12.12.24.pdf\">Download the GenAI guidance<\/a>","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"accordion_new","anchor_id":"","classes":"","title":"<h2>Background<\/h2>","description":"","background":"decorative","background_color":"#ffffff","style":"row_blank","expand":"no","accordions":[{"acf_fc_layout":"title","sub_heading":"Development"},{"acf_fc_layout":"accordion","accordion_title":"How these guidelines were developed","icon":"","row_content":"This guidance was developed by a multidisciplinary team of faculty and research administrators as initial recommendations to encourage responsible use of GenAI to accelerate new research while protecting its integrity.\r\n\r\nIn concordance with principles developed from other research institutions like <a href=\"https:\/\/research-and-innovation.cornell.edu\/generative-ai-in-academic-research\/\">Cornell<\/a> and <a href=\"https:\/\/it.wisc.edu\/generative-ai-uw-madison-use-policies\/\">UW-Madison<\/a>, the following guidelines are provided for use of GenAI in research by faculty, staff, and students or trainees*.\r\n\r\n<em>*For AI developers: there are additional considerations to incorporate in the design, development, use and evaluation of such products including environmental impact. This is beyond the scope of this guidance focused on the application of AI tools in the research context.<\/em>","accordion_anchor":""},{"acf_fc_layout":"title","sub_heading":"Key terms"},{"acf_fc_layout":"accordion","accordion_title":"Research definition","icon":"","row_content":"Research is the creation of new knowledge and information through exploration, investigation, and processing.\r\n\r\nResearch involves a process of systematic inquiry including development, testing, analysis, interpretation or evaluation designed to contribute to generalizable knowledge or creative works when conducted according to prevailing methodological standards of the relevant academic disciplines.\r\n\r\nThe life cycle of research includes stages such as:\r\n<ul>\r\n \t<li>proposing and performing research (conception and execution)<\/li>\r\n \t<li>reporting (dissemination)<\/li>\r\n \t<li>reviewing (consuming, translating, and funding including sponsor agreement compliance, etc.)<\/li>\r\n<\/ul>\r\nResearch can also provide a basis for creative works composed or performed.\r\n\r\nPrimary goals of research are to foster original thinking to build a body of knowledge while distributing costs\/burdens effectively including protecting human subjects and enabling future inquiry.","accordion_anchor":""},{"acf_fc_layout":"accordion","accordion_title":"Artificial Intelligence (AI) definition","icon":"","row_content":"Artificial intelligence (AI) includes systems or algorithms to predict, recommend, or advance defined objectives or tasks that have historically required a human.\r\n\r\n<em>Source: National Artificial Intelligence Research Resource Task Force, 2023<\/em>","accordion_anchor":""},{"acf_fc_layout":"accordion","accordion_title":"Generative AI (GenAI) definition","icon":"","row_content":"Generative AI (GenAI) is a type of AI that can generate new content in response to prompts entered by the user. GenAI tools can generate text, images, audio, video, computer code, and other data types. Use of GenAI in research is a technical and a social act. GenAI tools and services* produce new capabilities and risks for research.\r\n\r\nUniversity researchers are both legally and ethically obligated to limit risks to the validity and integrity of their processes as they pursue valid, verifiable, reproducible, and original research, as expected by disciplinary standards.\r\n\r\n<em>* Examples currently include, but are not limited to, ChatGPT, Google Gemini, Microsoft CoPilot, ClaudeAI, Stable Diffusion, Midjourney, etc. This list is descriptive not prescriptive as it is a dynamically evolving market. For instance, GenAI tools are now embedded into other software packages routinely used in content creation, etc. In addition, many machine learning tools (e.g., image processing and recognition algorithms, data processing algorithms) are also used in the research process but have not attracted the same scrutiny as GenAI. The distinction between GenAI and more traditional machine learning algorithms is difficult to draw. We believe that many of the principles articulated above apply equally to other recent research practices using advanced computational or statistical models, and whether the tool is local on desktop CPUs, GPUs, or on external hardware systems for instance that are web-based.<\/em>","accordion_anchor":""}]},{"acf_fc_layout":"card_grid","anchor":"principles","css_class":"title-line t-navy t-below centered","title":"<h2 style=\"text-align: center;\">Our three principles<\/h2>","description":"","background_color":"#FFFFFF","width":"width-medium","columns":"3","cards":[{"card_title":"<p class=\"u-card-title\" style=\"text-align: center;\">[icon name=\"shield-alt\" prefix=\"fas\"]\r\nData protection<\/p>","card_text":"","card_background_color":"#f4f4f4","card_hover_color":"#283faf","card_link":{"title":"","url":"#protection","target":""},"card_hover_arrow":"hover_arrow","card_image":"","card_image_size":"","card_image_placement":"","card_image_hover_state":"hover_fade","card_image_link":""},{"card_title":"<p class=\"u-card-title\" style=\"text-align: center;\">[icon name=\"user-check\" prefix=\"fas\"]\r\nVerification<\/p>","card_text":"","card_background_color":"#f4f4f4","card_hover_color":"#283faf","card_link":{"title":"","url":"#verification","target":""},"card_hover_arrow":"hover_arrow","card_image":"","card_image_size":"","card_image_placement":"","card_image_hover_state":"hover_fade","card_image_link":""},{"card_title":"<p class=\"u-card-title\" style=\"text-align: center;\">[icon name=\"book-open\" prefix=\"fas\"]\r\nTransparency<\/p>","card_text":"","card_background_color":"#f4f4f4","card_hover_color":"#283faf","card_link":{"title":"","url":"#transparency","target":""},"card_hover_arrow":"hover_arrow","card_image":"","card_image_size":"","card_image_placement":"","card_image_hover_state":"hover_fade","card_image_link":""}]},{"acf_fc_layout":"text","anchor":"","css_class":"pt-0","title":"","content":"Researchers are to consider these principles as they explore the use of GenAI in developing research processes and products, while striving to maintain\u2014and even improve upon\u2014 research integrity and standards relevant to their disciplines. This guidance also applies to research that is part of generating visual, compositional or performance-based creative works.\r\n\r\nThree key duties of <em>data protection<\/em>, <em>verification<\/em>, and <em>transparency <\/em>frame appropriate use of GenAI in research. These duties are derived from the <a href=\"https:\/\/research-and-innovation.cornell.edu\/generative-ai-in-academic-research\/\">Cornell Statement on Generative AI in Academic Research<\/a>. Beyond the short list above, researchers may also be obligated to follow the policies of external entities regarding GenAI, including funding agencies, publishers, suppliers, or other institutions where collaborating researchers reside. For instance, NIH and NSF prohibit the use of GenAI in peer review as a breach of confidentiality. Learn more about each of the three duties and principles below.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"protection","css_class":"pt-15","title":"","content":"<h3>Principle #1: Protect data and information<\/h3>\r\nMany popular GenAI tools collect and store information from users as part of their learning process. While some GenAI services offer a \u201cno training use\u201d policy as part of enterprise agreements, by default, researchers should first assume that any data or information entered into web-based GenAI could become part of its training data and thus be recoverable by third parties from future iterations of the model. Terms for the tool\u2019s use of information entered by the user should first be verified by the researcher in advance: do not assume that data entered is private, that output is already in public domain, nor that one can share information that is private, export-controlled, sensitive, or proprietary.\r\n<h4>align with existing University policies<\/h4>\r\nAll members of the University community (faculty, staff, students and affiliates) wishing to enter institutional research data or other sources of information into GenAI must ensure that doing so will not breach any University policies, including:\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/policies\/policy\/code-of-conduct\/\">Code of conduct<\/a><\/li>\r\n \t<li><a href=\"https:\/\/sites.mc.rochester.edu\/departments\/hipaa\/\">HIPAA policy<\/a><\/li>\r\n \t<li><a href=\"https:\/\/rochester.edu\/registrar\/policies.html#ferpa\">Student records (FERPA) policy<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/policies\/policy\/confidentiality\/\">HR policy on confidentiality<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/ventures\/faculty-researchers\/intellectual-property\/for-inventors-university-policy-on-intellectual-property-and-technology-transfer\/\">IP policy<\/a><\/li>\r\n \t<li><strong>Data stewardship policy:<\/strong> Proposed policy is currently in review for adoption by the University of Rochester Board of Trustees. Link to be updated as available.<\/li>\r\n \t<li><a href=\"https:\/\/tech.rochester.edu\/policies\/information-technology-policy\/\">Information technology policy<\/a>: Attention should be paid to the privacy components of this policy<\/li>\r\n<\/ul>\r\nAs a general guide, only data classified as low risk by the <a href=\"https:\/\/www.rochester.edu\/policies\/policy\/data-security-classifications\/\">University Data Security Classification Policy<\/a> should be considered suitable for entry to GenAI. The use of GenAI with medium or high-risk data (especially identifiable human data) should only be contemplated when the relevant tool has undergone appropriate internal review.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"verification","css_class":"pt-15","title":"","content":"<h3>Principle #2: Verify<\/h3>\r\nResearchers have a duty to verify the output of GenAI systems to ensure that they have not introduced inaccuracies or biases into the research process. GenAI can produce extremely convincing text, imagery, audio and video (and increasingly other types of data); but GenAI tools may not stay faithful to some ground truth or fairly represent the world.\r\n\r\nUse of GenAI carries real risks regarding the reproducibility and reliability of research. This is particularly true in the context of research involving cultural practices or human diversity, where the risk of bias is high.\r\n<h4>Carefully scrutinize outputs<\/h4>\r\nThe following are best practices for instances when the use of GenAI requires a higher degree of scrutiny:\r\n<ul>\r\n \t<li><strong>Inquiry as the basis of forming research questions:<\/strong> verify the provenance of your resulting question(s) as the output of GenAI stems from others\u2019 content put in. To what degree have you invented the focus of the research question or hypotheses to test?<\/li>\r\n \t<li><strong>Literature review:<\/strong> verify to ensure that critical claims (i.e. effect size, statistical significance) from individual articles or sub-literatures are accurately reported. Do not rely on GenAI to represent the range of works available on a topic.<\/li>\r\n \t<li><strong>Output of analysis and code:<\/strong> in concordance with disciplinary standards, verify reproducibility of results, and ensure authorial control of your original content. Also, verify to ensure that generated code is human interpretable and performs the intended function.<\/li>\r\n \t<li><strong>Interpretation is an act of authorship:<\/strong> consider your discipline\u2019s standards when GenAI is used to develop interpretations, and be aware that you are responsible for the integrity of the interpretation (e.g., how theory connects to the data, limitations for discussion, etc.).<\/li>\r\n \t<li><strong>Attribution:<\/strong> verify to ensure that data sources and citations exist, and are correctly attributed. The text produced by GenAI tools may not include any attribution of authorship, and if attribution is included, it may attribute incorrectly. Content produced by GenAI tools is often based on copyrighted, web-scraped or publicly available material. In all cases, the author using the GenAI tool is responsible for correctly attributing prior work. Authors who fail to do this risk plagiarizing prior work, and\/or infringing copyright.<\/li>\r\n \t<li><strong>Research involving human meaning or difference:<\/strong> verify to ensure that outputs which report on or represent human diversity (incl. biological, social and humanistic research) are accurate.<\/li>\r\n \t<li><strong>Composing and editing or revising products for dissemination:<\/strong> verify to ensure data summaries, or the information or knowledge generated (i.e., in creative works derived from the research inquiry) - including quotations, citations, author meaning or descriptions of methods - have not been altered.<\/li>\r\n<\/ul>","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"transparency","css_class":"pt-15","title":"","content":"<h3>Principle #3: Be transparent<\/h3>\r\nConsistent with disciplinary and publishing norms, the use of GenAI should be disclosed\/identified at the time of proposing, reporting, publishing or when engaging in other dissemination activities. In reporting such use, the following existing policies should be adhered to:\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/policies\/policy\/policy-on-research-misconduct\/\">Research Misconduct Policy<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/ventures\/faculty-researchers\/intellectual-property\/for-inventors-university-policy-on-intellectual-property-and-technology-transfer\/\">Intellectual Property Policy<\/a><\/li>\r\n<\/ul>\r\nWhile norms around the reporting of GenAI use are evolving, we urge researchers to err on the side of acknowledging and <strong>reporting all use of GenAI tools in the research process<\/strong>, including use in idea development, assistance with composition, code assistance, or generation of presentations and figures.\r\n\r\nFor instance, NSF currently recommends attribution in the context of proposing research: \"Proposers are encouraged to indicate in the project description the extent to which, if any, generative AI technology was used and how it was used to develop their proposal.\"\r\n\r\nIf GenAI is used to conduct research that will result in a creative work with a registered copyright (e.g., exhibit, multimedia, music, script, book, dance, sculpture or other visual art form), then extra care should be taken. While the norms around authorship are evolving, if the <em>final<\/em> work contains more than <em>de minimis<\/em> AI-generated content as defined by your field, the nature and use of GenAI should be disclosed, and the parts of the work created by the author and by the GenAI should be distinguished and described.\r\n\r\nMoreover, researchers should adequately acknowledge the use of GenAI in the research design. GenAI poses significant risks to the reproducibility of research processes, because of their inherently stochastic nature. The specific GenAI tool should be documented along with the parameters used (including prompts, context windows, and version numbers), for instance, when using GenAI to generate synthetic datasets. Use of GenAI systems where the model is freely available can aid reproducibility. Protecting provenance \u2013 that is, knowledge of the \u201cownership\u201d history\u2014or the contextual narrative of how information has been created through research\u2014also maintains value in and authenticity of research.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"","css_class":"","title":"<h2>Human-centered research<\/h2>","content":"As an individual or team-based user of GenAI, these principles guide us to reflect on such critical social concerns by asking broad questions. E.g.,:\r\n<ul>\r\n \t<li>What is my role as a user of AI? What is my role as an AI developer? What is AIs role in my work?<\/li>\r\n \t<li>Do I understand how the tool works?<\/li>\r\n \t<li>Do I know the source of the data used to train the tool\u2019s model?<\/li>\r\n \t<li>Have I identified the relevant technical and human factors expertise needed when using GenAI tools and resources?<\/li>\r\n \t<li>Am I using the lowest risk tool from a socio-ethical-technical perspective? How is this being evaluated?<\/li>\r\n<\/ul>\r\nResearchers should also be aware of broader considerations that emerge from the social nature of research. <span class=\"TextRun SCXW21842231 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW21842231 BCX0\">We encourage the use of GenAI in alignment with our institution\u2019s broader goals\u2014to foster creativity and expand human capacity. As these tools are deployed within research, we ask that users consider how GenAI can enhance learning and mentorship in AI literacy, support broad and meaningful access, and promote responsible development and use.<\/span><\/span><span class=\"EOP SCXW21842231 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span>\r\n\r\nAs with any research capacity or tool \u2013 it is an aid; we must build our literacy to critically assess tools and their outputs. Stay up to date on academic as well as legal and policy developments including AI regulation, and choose trustworthy tools and services (e.g. the National Institute of Standards and Technology's (NIST's) <a href=\"https:\/\/www.nist.gov\/trustworthy-and-responsible-ai#:~:text=The%20essential%20building%20blocks%20of%20AI%20trustworthiness%20include:\">trustworthy AI<\/a>).\r\n\r\nWe should also consider the human and social impacts of GenAI use (e.g., human labor displacement, wellbeing, environmental protection, maintenance of content creators\u2019 rights and use in accordance with copyright policies). We thus encourage use of our institution\u2019s resources and risk management to evaluate use of such tools. For instance, UR researchers can consult legal services, chief security officers, etc. to review a tool supplier's terms of use, privacy policy, and other tool documentation before using any system to process sensitive or proprietary information in research.\r\n<h4>reference materials<\/h4>\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.urmc.rochester.edu\/compliance-office.aspx\">URMC Office of Integrity and Compliance<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.urmc.rochester.edu\/privacy\/privacy-statement.aspx\">URMC Privacy Statement<\/a><\/li>\r\n \t<li><a href=\"https:\/\/tech.rochester.edu\/policy\/\">University IT Policies<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/ohsp\/\">Office of Human Subject Protection<\/a><\/li>\r\n \t<li><a href=\"https:\/\/internal.rochester.edu\/counsel\/\">Office of Counsel<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.rochester.edu\/university-research\/compliance\/\">Office of the Vice President for Research: Integrity and Compliance<\/a><\/li>\r\n<\/ul>","background_color":"#f4f4f4","width":"width-medium"},{"acf_fc_layout":"text","anchor":"","css_class":"","title":"<h2>An ever-changing landscape<\/h2>","content":"The practice of integrating GenAI will evolve dynamically given the rapid pace of discovery and of application development. We cannot yet know boundaries of use derived from either human or technical capacity.\r\n\r\nSince we will continue to innovate using GenAI, we must share knowledge about GenAI use in research. Such sharing will support adaptation across our varied research endeavors. Consequently, we welcome information about use cases from all disciplines to evolve this guidance.\r\n\r\nTo learn more about the related considerations on use of GenAI when engaged in complementary activities of education, IT system use, communication and marketing, or for more information about the AI Council and RPC, reference the <a href=\"https:\/\/www.rochester.edu\/ai\/\">University of Rochester AI website<\/a>.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"accordion_new","anchor_id":"","classes":"","title":"<h2>Publication details<\/h2>","description":"","background":"decorative","background_color":"#ffffff","style":"row_blank","expand":"no","accordions":[{"acf_fc_layout":"accordion","accordion_title":"Date of publication","icon":"","row_content":"December 13, 2024","accordion_anchor":""},{"acf_fc_layout":"accordion","accordion_title":"Authors","icon":"","row_content":"The <a href=\"https:\/\/www.rochester.edu\/university-research\/ai-in-research-committee\/our-members\/\">AI in Research Committee<\/a> authored this guidance. Specific authors are listed below:\r\n<ul>\r\n \t<li>Ann Marie White<\/li>\r\n \t<li>Jon Herington<\/li>\r\n \t<li>Chris Kanan<\/li>\r\n \t<li>Adam Purtee<\/li>\r\n \t<li>Deb Rossen-Knill<\/li>\r\n \t<li>Chris Dasilva<\/li>\r\n \t<li>David Mathews<\/li>\r\n \t<li>Andrew White<\/li>\r\n \t<li>Ehsan Hoque<\/li>\r\n \t<li>Erika Ramsdale<\/li>\r\n \t<li>Yasemin Basdogan<\/li>\r\n \t<li>Raffaella Borasi<\/li>\r\n \t<li>Kristen Love<\/li>\r\n \t<li>Chris Deeney<\/li>\r\n \t<li>Ajay Anand<\/li>\r\n \t<li>Brendan Mort<\/li>\r\n \t<li>Rachel Remmel<\/li>\r\n \t<li>Paul Brookes<\/li>\r\n \t<li>Caitlin Dreisbach<\/li>\r\n \t<li>Richard Libby<\/li>\r\n \t<li>Yvonne Watson<\/li>\r\n \t<li>Libby Reitz<\/li>\r\n<\/ul>","accordion_anchor":""}]},{"acf_fc_layout":"interstitial","anchor_id":"","classes":"","layout":"layout_inline","lead-in":"Connect with us","title":"Have questions or feedback?","content":"If you'd like to discuss these guidelines further, you can email the AI in Research Committee at <a href=\"mailto:research-ai@lists.rochester.edu\">research-ai@lists.rochester.edu<\/a>, or connect directly with any of our\u00a0<a href=\"https:\/\/www.rochester.edu\/university-research\/ai-in-research-committee\/our-members\/\">committee members<\/a>.","call_to_action":{"title":"Meet our committee members","url":"https:\/\/www.rochester.edu\/university-research\/ai-in-research-committee\/our-members\/","target":""},"bg_color":"#00205b"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Responsible Use of Generative Artificial Intelligence in Research - University of Rochester<\/title>\n<meta name=\"description\" content=\"Review principles that are foundational to the integrity of research processes and that help guide research conduct and reporting when applying Generative AI (GenAI).\" \/>\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.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Responsible Use of Generative Artificial Intelligence in Research - University of Rochester\" \/>\n<meta property=\"og:description\" content=\"Review principles that are foundational to the integrity of research processes and that help guide research conduct and reporting when applying Generative AI (GenAI).\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Office of the Vice President for Research\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-28T18:41:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.rochester.edu\/university-research\/wp-content\/uploads\/2022\/10\/Link-Preview-Office-of-the-VP-for-Research-1200x630.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/ai-research-committee\\\/responsible-use-gen-ai\\\/\",\"url\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/ai-research-committee\\\/responsible-use-gen-ai\\\/\",\"name\":\"Responsible Use of Generative Artificial Intelligence in Research - University of Rochester\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/#website\"},\"datePublished\":\"2024-12-18T15:14:46+00:00\",\"dateModified\":\"2026-09-28T18:41:24+00:00\",\"description\":\"Review principles that are foundational to the integrity of research processes and that help guide research conduct and reporting when applying Generative AI (GenAI).\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/ai-research-committee\\\/responsible-use-gen-ai\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/ai-research-committee\\\/responsible-use-gen-ai\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/ai-research-committee\\\/responsible-use-gen-ai\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"About Us\",\"item\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Committees\",\"item\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"AI in Research Committee\",\"item\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/about\\\/committees\\\/ai-research-committee\\\/\"},{\"@type\":\"ListItem\",\"position\":5,\"name\":\"Responsible Use of Generative Artificial Intelligence in Research\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/#website\",\"url\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/\",\"name\":\"Office of the Vice President for Research\",\"description\":\"University of Rochester\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.rochester.edu\\\/university-research\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Responsible Use of Generative Artificial Intelligence in Research - University of Rochester","description":"Review principles that are foundational to the integrity of research processes and that help guide research conduct and reporting when applying Generative AI (GenAI).","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/","og_locale":"en_US","og_type":"article","og_title":"Responsible Use of Generative Artificial Intelligence in Research - University of Rochester","og_description":"Review principles that are foundational to the integrity of research processes and that help guide research conduct and reporting when applying Generative AI (GenAI).","og_url":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/","og_site_name":"Office of the Vice President for Research","article_modified_time":"2026-09-28T18:41:24+00:00","og_image":[{"width":1200,"height":630,"url":"https:\/\/www.rochester.edu\/university-research\/wp-content\/uploads\/2022\/10\/Link-Preview-Office-of-the-VP-for-Research-1200x630.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/","url":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/","name":"Responsible Use of Generative Artificial Intelligence in Research - University of Rochester","isPartOf":{"@id":"https:\/\/www.rochester.edu\/university-research\/#website"},"datePublished":"2024-12-18T15:14:46+00:00","dateModified":"2026-09-28T18:41:24+00:00","description":"Review principles that are foundational to the integrity of research processes and that help guide research conduct and reporting when applying Generative AI (GenAI).","breadcrumb":{"@id":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/responsible-use-gen-ai\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.rochester.edu\/university-research\/"},{"@type":"ListItem","position":2,"name":"About Us","item":"https:\/\/www.rochester.edu\/university-research\/about\/"},{"@type":"ListItem","position":3,"name":"Committees","item":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/"},{"@type":"ListItem","position":4,"name":"AI in Research Committee","item":"https:\/\/www.rochester.edu\/university-research\/about\/committees\/ai-research-committee\/"},{"@type":"ListItem","position":5,"name":"Responsible Use of Generative Artificial Intelligence in Research"}]},{"@type":"WebSite","@id":"https:\/\/www.rochester.edu\/university-research\/#website","url":"https:\/\/www.rochester.edu\/university-research\/","name":"Office of the Vice President for Research","description":"University of Rochester","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.rochester.edu\/university-research\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"_links":{"self":[{"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/pages\/12082","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/users\/76"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/comments?post=12082"}],"version-history":[{"count":6,"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/pages\/12082\/revisions"}],"predecessor-version":[{"id":24742,"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/pages\/12082\/revisions\/24742"}],"up":[{"embeddable":true,"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/pages\/12062"}],"wp:attachment":[{"href":"https:\/\/www.rochester.edu\/university-research\/wp-json\/wp\/v2\/media?parent=12082"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}