Indiana University at Kokomo 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.
1. Cheating: Cheating is using, providing, or attempting to use or provide unauthorized assistance, materials, information, or study aids in any form. Cheating is prohibited. Cheating includes, but is not limited to:
1. Using or providing unauthorized external assistance or materials on any exam, assignment, or academic-related activities. This prohibition includes the use of tutors, editing services, commercial term-paper providers, books, notes, calculators, online and electronic resources, artificial intelligence, and wireless communication devices, subject to the following:
Option 1: No Generative AI use permitted
Option 2: Some Generative AI use permitted
Using AI (such as ChatGPT) to assist in completing assignments will be allowed in the following ways:
List acceptable uses here. For example, "In Assignment X, we will be using and citing ChatGPT as part of the assignment."
If you use generative AI in a manner that is not authorized above, it will constitute academic misconduct; there will be an academic sanction, and the incident will be reported.
Option 3: Generative AI use varies by assignment
In this class, the expectations for the use/non-use of AI vary depending on the assignment. It is crucial to follow the specific guidelines for each assignment to maintain academic integrity. If you use generative AI in a manner that is not authorized for the assignment, it will constitute academic misconduct; there will be an academic sanction, and the incident will be reported.
Any exams or assessments, including in-class and take-home exams, entrance and qualifying exams, auditions, theses, and dissertations.
1. Cheating: Cheating is using, providing, or attempting to use or provide unauthorized assistance, materials, information, or study aids in any form. Cheating is prohibited. Cheating includes, but is not limited to:
1. Using or providing unauthorized external assistance or materials on any exam, assignment, or academic-related activities. This prohibition includes the use of tutors, editing services, commercial term-paper providers, books, notes, calculators, online and electronic resources, artificial intelligence, and wireless communication devices, subject to the following:
"Use of AI (such as ChatGPT) in this class. Using AI (such as ChatGPT) to assist in completing assignments will be allowed in the following ways: [List of acceptable uses, e.g. "In Assignment x, will be using and citing ChatGPT as part of the assignment."]If you use AI in an unauthorized manner, you will be committing plagiarism* and will be subject to penalties in this class and sanctions by Indiana University."
Be very sure that you clearly understand how you can use AI to work on assignments in your courses.
## Working with AI to Learn
Here, we want to talk about how you can actually work with these incredible tools to improve your learning by freeing you up so you can concentrate on where the real value is: What's happening inside your own head and what that means for your growth as an increasingly confident, educated, capable person (as opposed to just working through your educational tasks as quickly as possible).
For every suggestion of how to use AI below, you can get out into the world, meet someone -- an academic coach, a tutor, a professor, a course assistant, another new friend in class -- and learn as we are built to do best -- interactively, in person, with each other.
Option 1: No Generative AI use permitted
Option 2: Some Generative AI use permitted
Using AI (such as ChatGPT) to assist in completing assignments will be allowed in the following ways:
List acceptable uses here. For example, "In Assignment X, we will be using and citing ChatGPT as part of the assignment."
Option 3: Generative AI use varies by assignment
In this class, the expectations for the use/non-use of AI vary depending on the assignment. It is crucial to follow the specific guidelines for each assignment to maintain academic integrity.
[Research context only] Generative AI tools, including large language models (LLMs) such as ChatGPT or Claude, can help you summarize literature, draft documents, write code, and analyze quantitative or qualitative data.
## Responsible Use of LLMs in Research
Generative AI tools, including large language models (LLMs) such as ChatGPT or Claude, can help you summarize literature, draft documents, write code, and analyze quantitative or qualitative data. But when you conduct research at Indiana University, all research data are considered owned by IU — even if you created the dataset yourself — unless an agreement explicitly assigns ownership elsewhere.
Generative AI tools, including large language models (LLMs) such as ChatGPT or Claude, can help you summarize literature, draft documents, write code, and analyze quantitative or qualitative data. But when you conduct research at Indiana University, all research data are considered owned by IU — even if you created the dataset yourself — unless an agreement explicitly assigns ownership elsewhere.
These IU-licensed versions are safe for Public research data if you sign in with your IU account. They are not approved for Restricted or Critical research data. Research data is considered Restricted by default. The University-Internal classification is not used for research data.
Use REALLMS. It runs entirely on IU-owned servers and is approved for Restricted and Critical data, including PHI.
Classifying research data can be complicated and context-dependent. The default classification for research data at IU is restricted.
### AI Use Policies, Rules, Guidelines, and Ethics
Acceptable uses of generative AI services at IU - Generative AI has potential applications across a wide range of industries, including art, writing, and software development. However, there are also concerns about the potential misuse of these tools and any data shared with the services.
As AI continues to shape and change education, the IU School of Education has taken a proactive step forward by introducing the IU School of Education Generative AI Framework: A Visionary Framework for Human-Centered Innovation in Teaching, Learning, and Research.
Put together by the IU School of Education AI Guidance Committee, this guide represents an important step in articulating how the School approaches generative AI thoughtfully, ethically, and with a clear focus on human learning and flourishing.
"Include a permission and acknowledgement disclaimer. 'AI generators/programs such as ChatGPT, Grammarly, QuillBot, Spinbot, Dall-E, etc. should not be used for any work for this class without explicit permission of the instructor and appropriate attribution.' -- from IUB College of Arts & Sciences, Office of Undergraduate Academic Affairs
Any use of such tools must be appropriately acknowledged and cited. Use of GAI without acknowledgement will result in a penalty. The disclosure of use of GAI for spelling and grammar checkers is not necessary, but all other uses of GAI require proper acknowledgment and citations.
The use of GAI platforms without disclosure will be considered plagiarism and/or cheating and will be reported to the Dean of Students and handled according to university policies. Sanctions for academic misconduct in this course may include a failing grade on the assignment, a reduction in your final course grade, or a failing grade in the course, among other possibilities. If you have any questions about the acceptable use of GAI tools, please consult with the instructor before submitting your work.
If you use generative AI in a manner that is not authorized above, it will constitute academic misconduct; there will be an academic sanction, and the incident will be reported.
The use of GAI platforms without disclosure will be considered plagiarism and/or cheating and will be reported to the Dean of Students and handled according to university policies. Sanctions for academic misconduct in this course may include a failing grade on the assignment, a reduction in your final course grade, or a failing grade in the course, among other possibilities.
Whether misconduct has occurred in a particular course, and if so, whether a particular academic sanction (failing grade, repeating an assignment, etc.) is an appropriate response to a finding of misconduct in the course, is handled by the faculty member involved and, if a student appeals the faculty member's determinations, by a hearing board within the school in which the misconduct allegedly occurred.
Second, after a final determination within a school that a student has committed academic misconduct, the Dean of Students and/or Designee determines whether an additional, university-wide sanction (disciplinary probation, suspension, or expulsion) is appropriate based on the nature and severity of the misconduct and/or prior violations by the student.
As with other non-IU-vetted technologies, instructors should be cautious when using other GenAI tools with students, and students should never be required to use an unapproved tool.
Sharing institutional data, including student writing, with unapproved third-party tools is against university policy, even if anonymized and de-identified.
IU faculty are invited to explore the potential of generative artificial intelligence through Next.IU, a hands-on Generative AI tool pilot.
Several generative AI tools are widely available for faculty, staff, and students. Learn more about these tools, including their core features, data classification approvals, and usage guidelines.
Indiana University recently announced that staff and faculty on all campuses can request institutional access to ChatGPT Edu, a version of the popular AI tool built specifically for higher education.
At IU, several generative AI tools have undergone review and are approved for use with IU institutional data. See information outlined previously on this page as well as this more detailed resource about the available GenAI tools at IU.
Data privacy: Microsoft Copilot, when used with you IU credentials, includes data protections not available in public versions. It is the only widely available tool
University. Sharing institutional data, including student writing, with unapproved third-party tools is against university policy, even if anonymized and de-identified.
These IU-licensed versions are safe for Public research data if you sign in with your IU account. They are not approved for Restricted or Critical research data. Research data is considered Restricted by default. The University-Internal classification is not used for research data.
Use REALLMS. It runs entirely on IU-owned servers and is approved for Restricted and Critical data, including PHI.
The deployment of ChatGPT Edu is one of many ways IU is integrating AI across the academic experience.
In August, IU launched a new, free GenAI 101 course that serves as a foundational program introducing the IU community to generative AI concepts, applications and responsible-use practices.
Together, GenAI 101, ChatGPT Edu and IU's expanding suite of AI services ensure that faculty, staff and students are not only equipped with powerful AI tools but also prepared to use them effectively and ethically.
As AI continues to shape and change education, the IU School of Education has taken a proactive step forward by introducing the IU School of Education Generative AI Framework: A Visionary Framework for Human-Centered Innovation in Teaching, Learning, and Research.
Put together by the IU School of Education AI Guidance Committee, this guide represents an important step in articulating how the School approaches generative AI thoughtfully, ethically, and with a clear focus on human learning and flourishing.
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.
Indiana University at Kokomo has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Disclosure and attribution requirements are explicitly stated in instructor-facing sample syllabus language rather than a single university-wide student policy. The sample language says AI use must be acknowledged and cited, that most uses require disclosure, and that use without disclosure may be treated as plagiarism or cheating.
Undisclosed or unauthorized AI use is enforced as academic misconduct under IU's student code. Faculty determine course-level academic sanctions; incidents are centrally recorded; and the Dean of Students may impose additional university-wide sanctions (probation, suspension, or expulsion) based on severity and prior violations. IU's Center for Innovative Teaching and Learning also provides guidance on AI-generated text and academic integrity, though a detailed substantive policy on specific AI detection tools was not defined in the extracted evidence.
Indiana University has an explicit approved-tools and data-classification approach for AI use. Several generative AI tools are approved for IU institutional data; Microsoft Copilot with IU credentials has added protections; unapproved third-party tools cannot receive institutional data such as student writing; and research data have stricter rules, with Public-only use for some IU-licensed tools and REALLMS required for Restricted and Critical data.
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