Iowa State University of Science and Technology has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Use of Artificial Intelligence (AI) tools like ChatGPT, Grammarly, Google Gemini, and other AI platforms are prohibited in most courses, except where instructors provide explicit permission for use, including drafts, outlines, essays, coding, discussion prompts, exams, etc. Using an AI platform to produce work or provide an "example" for students to rely on for academic requirements regularly results in identification of use of unauthorized resources and constitutes academic misconduct.
Use of Artificial Intelligence (AI) tools like ChatGPT, Grammarly, Google Gemini, and other AI platforms are prohibited in most courses, except where instructors provide explicit permission for use, including drafts, outlines, essays, coding, discussion prompts, exams, etc.
Openly discuss the ethics of using AI: A course policy that specifies allowable uses of AI and/or penalties for its use can help manage everyone's expectations.
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Use of Artificial Intelligence (AI) tools like ChatGPT, Grammarly, Google Gemini, and other AI platforms are prohibited in most courses, except where instructors provide explicit permission for use, including drafts, outlines, essays, coding, discussion prompts, exams, etc.
Use of Artificial Intelligence (AI) tools like ChatGPT, Grammarly, Google Gemini, and other AI platforms are prohibited in most courses, except where instructors provide explicit permission for use, including drafts, outlines, essays, coding, discussion prompts, exams, etc.
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The default stance on using GenAI for writing research papers should generally be no – particularly for creative contributions – due to issues around authorship, copyright, and plagiarism. However, GenAI can be beneficial for editorial assistance, provided you are aware of what your target publication deems acceptable.
Because this is a rapidly evolving and controversial area, many journals and research conferences have been, and will continue to, update their policies. Again, it’s critical that you carefully review and understand the author guidelines of your targeted journal.
Science journals require full disclosure for the use of GenAI to generate text; GenAI-generated images and multimedia can be used only with explicit permission of their editors. AI is not granted authorship.
JAMA and the JAMA network journals do not allow GenAI to be listed as authors. However, GenAI content or assistance in writing/editing are allowed in manuscripts but should be reported in the manuscript.
Publishers’ policies constantly evolve, but most require authors to document their use of AI and to properly cite the tools used.
Bottom line, as the author, you are fully responsible for the content of your manuscript, even those parts produced by an AI tool, and are thus liable for any breach of publication ethics.
When using GenAI in research collaborations, be respectful and transparent about its use:
* Thoroughly verifying GenAI content;
* Ensuring all collaborators understand the limitations of GenAI and their responsibility in reviewing outputs carefully; and
* Always prioritizing human oversight and critical thinking in the research process.
You are responsible for verifying the summaries that GenAI gives you.
If an inventor were to upload their invention to a GenAI system or chat about an invention with a GenAI system, it is possible that such a disclosure could be considered a public disclosure if the GenAI system is operated by a third party.
Although the university does not have a specific policy on the use of GenAI, inappropriate use of the technology may lead to research misconduct as defined in the Iowa State Research Misconduct policy.
The downside risks of using GenAI in the process of writing research grants far surpasses any upside benefit. Keep in mind that you, as principal investigator, sign off on the proposal and promise to do the work if funded, so you are responsible for every part of the proposal content, even if GenAI assisted in the development of that content.
Effective September 25, 2025, the National Institutes of Health (NIH) implemented new policy to support fairness and originality in NIH research grant applications. The agency will not consider applications that are either substantially developed by AI, or contain sections substantially developed by AI, to be original ideas of applicants.
If the detection of AI is identified post award, NIH may refer the matter to the Office of Research Integrity to determine whether there is research misconduct while simultaneously taking enforcement actions including but not limited to disallowing costs, withholding future awards, wholly or in part suspending the grant, and possible termination.
The main rationale is that this would constitute a breach of confidentiality, which is essential in the grant review process.
When using GenAI in research collaborations, be respectful and transparent about its use:
* Appropriately citing the GenAI tool used;
Publishers' policies constantly evolve, but most require authors to document their use of AI and to properly cite the tools used.
JAMA and the JAMA network journals do not allow GenAI to be listed as authors. However, GenAI content or assistance in writing/editing are allowed in manuscripts but should be reported in the manuscript.
Faculty are encouraged to provide information in their syllabus regarding expectations related to coursework completion, academic integrity and the academic/grade consequences for students who complete their work dishonestly.
Faculty and instructors may wish to add specific information in their syllabus related to use of AI content generation.
For example, a course might allow for certain uses of AI, as long as the work includes the transcript and how the output was evaluated, coordinated with other research, and fact-checked.
Using an AI platform to produce work or provide an "example" for students to rely on for academic requirements regularly results in identification of use of unauthorized resources and constitutes academic misconduct.
Suspected AI-generated coursework referrals will be reviewed similar to any other form of academic misconduct.
Openly discuss the ethics of using AI: A course policy that specifies allowable uses of AI and/or penalties for its use can help manage everyone's expectations.
The resources below are designed to support ISU instructors as they navigate AI use from a teaching and learning lens.
Faculty are encouraged to provide information in their syllabus regarding expectations related to coursework completion, academic integrity and the academic/grade consequences for students who complete their work dishonestly.
Faculty and instructors may wish to add specific information in their syllabus related to use of AI content generation.
In some situations, GenAI can be useful to help you draft a letter or edit your letter to adopt a certain tone and carry it throughout. However, please keep the following in mind:
* You are still fully responsible for everything in the letter because you are still the author.
* You should consider the issue of confidentiality. If there is confidential information in the letter, GenAI should not be used if you're not certain about what the system will do with the information you feed into it.
For data protection, Microsoft Copilot on the web and Microsoft Copilot 365 are recommended tools because of enterprise data protection, but only when you are logged in with your Iowa State email and password. Avoid using the “free to the public” version. When logged into Copilot, you can use it for confidential data. Google’s AI tools — Gemini and NotebookLM — are also safe to use when logged in with your university email and password. You can use these for confidential data too, when logged in.
Confidential data (data classified as “moderate” or above), may not be entered into any generative AI product unless the confidential data has been assessed and approved for such use in accordance with ISU’s data classification policy and other appropriate institutional compliance offices as applicable.
Use of generative AI must align with the university’s mission, vision, and values and comply with all state and federal laws and institutional regulations and requirements, including the university policies regarding:
* Acceptable use of information technology resources
* IT security
* Data classification
* Research data policies
Data are classified in four categories depending on sensitivity and importance. Subsets of data shall have the same classification level and utilize the same protective measures as the original data in the system of record. Data must be consistently protected throughout its life cycle in a manner commensurate with its sensitivity, regardless of where it resides or what purpose(s) it serves.
1.1. Restricted
Data that are required to be protected by applicable law, statute (e.g., Iowa Code 22.7, HIPAA,
ITAR, or other statute) or university policy, or which, if disclosed to the public could expose the
university to legal or financial obligations.
1.2. High
Data that are protected by the Family Educational Rights and Privacy Act (FERPA) or Iowa Code
22.7(1) regarding student records and which has been classified by the Office of the Registrar as
confidential student information.
1.3. Moderate
Data for which access must be guarded due to proprietary, ethical, or privacy considerations.
1.4. Low
Data which may or must be open to the general public.
Use of generative AI must align with the university's mission, vision, and values and comply with all state and federal laws and institutional regulations and requirements, including the university policies regarding:
* Acceptable use of information technology resources
* IT security
* Data classification
* Research data policies
Reflecting our strategic aspiration to lead a culture of research professionalism at Iowa State, the Office of the Vice President for Research has compiled the following FAQ to provide guidance to our research community on the responsible and ethical use of GenAI in research endeavors.
ISU's AI project committee [referenced on ai.iastate.edu as an institutional oversight body for AI initiatives].
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Iowa State University of Science and Technology has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
For research, Iowa State requires researchers to cite AI tools, document AI use when publishers require it, and report AI assistance per publication rules, while remaining fully responsible for manuscript content. For teaching, faculty are encouraged to include AI-use expectations in the syllabus, including any disclosure or transcript-submission requirements when AI is permitted; CELT also provides syllabus statement resources to support this. Students must follow instructor-specified disclosure requirements or risk academic misconduct findings.
Unauthorized AI use in academic work is treated as academic misconduct. Suspected AI-generated coursework referrals are reviewed through the same misconduct process as other cases, and faculty are advised to set penalties and expectations in course policies. No university-wide endorsement or rule about specific AI detection software is defined in the provided sources.
The university recommends logged-in enterprise versions of Microsoft Copilot, Copilot 365, Gemini, and NotebookLM as safer tools for confidential data, and it warns against the public free version of Copilot. Confidential data classified as moderate or above may not be entered into generative AI products unless assessed and approved under university data-classification and compliance processes. Iowa State's data-classification framework defines Restricted, High, Moderate, and Low data levels and requires data to be protected according to sensitivity throughout its lifecycle.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai