University of Illinois Chicago 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.
Academic misconduct includes “Disregarding, violating, or circumventing course requirements, including use of unauthorized resources.”
Students: If your instructor allows AI use for your work, be sure to do the following in all your assignments:
• Cite every use of AI in your work according to your discipline’s standards or according to your instructor’s instructions. Explain clearly and specifically what prompts you used to generate output, and what output generated by AI appears in your submitted work.
• Confirm with your instructor whether using AI for “grammar checks” and copyediting is allowed in your course.
• Understand that your instructor’s AI policy may permit AI use for some assignments but not for others.
Instructors should set expectations that indicate to what extent students can use AI in a course. A statement around use and disclosure of AI should include a disclaimer that instructors can and should adapt according to course and assignment use.
There are many ways instructors can respond to AI use in the classroom, from prohibiting it altogether to embracing it as a critical skill. As instructors discuss and determine AI use in the classroom, they should develop and communicate a policy that makes sense for their discipline, learning goals, and assignments.
Whether you prohibit, discourage, encourage, or integrate AI into your course, there are a few foundational elements to consider and questions to ask yourself.
Academic misconduct includes “Disregarding, violating, or circumventing course requirements, including use of unauthorized resources.”
Students: If your instructor allows AI use for your work, be sure to do the following in all your assignments:
• Cite every use of AI in your work according to your discipline’s standards or according to your instructor’s instructions. Explain clearly and specifically what prompts you used to generate output, and what output generated by AI appears in your submitted work.
• Confirm with your instructor whether using AI for “grammar checks” and copyediting is allowed in your course.
• Understand that your instructor’s AI policy may permit AI use for some assignments but not for others.
Academic exercise means all forms of work submitted for instructors’ evaluation, examinations, reports, projects, themes and essays.
There are many ways instructors can respond to AI use in the classroom, from prohibiting it altogether to embracing it as a critical skill. As instructors discuss and determine AI use in the classroom, they should develop and communicate a policy that makes sense for their discipline, learning goals, and assignments.
Whether you prohibit, discourage, encourage, or integrate AI into your course, there are a few foundational elements to consider and questions to ask yourself.
Think critically about your students and your goals around AI use as you determine your AI policy.
Students: If your instructor allows AI use for your work, be sure to do the following in all your assignments:
There are many ways instructors can respond to AI use in the classroom, from prohibiting it altogether to embracing it as a critical skill. As instructors discuss and determine AI use in the classroom, they should develop and communicate a policy that makes sense for their discipline, learning goals, and assignments.
Academic misconduct includes “Disregarding, violating, or circumventing course requirements, including use of unauthorized resources.”
Researchers may use GAI technologies in the creation and revision of scholarly works only in a limited capacity, and with close human oversight. This includes using GAI to improve readability, language, and concise phrasing, as long as the technology is not used to create new content or draw conclusions for the manuscript.
Researchers must disclose use of GAI in the manuscript according to these terms:
(a) Include transparent disclosure of use of GAI in manuscript cover letters and in the title page or acknowledgment section of the manuscript.
(b) Save and store copies of all draft work, including AI prompts and all outputs generated.
(c) If GAI was used for a literature review, save and submit screenshots or reports confirming that all cited literature sources have been verified by the researcher.
The use of GAI does not exempt human researchers from responsibility for the quality and integrity of all manuscript content. Researchers are fully accountable for all statements, data, references, and conclusions in the final work.
GAI technologies may not be credited as an author on any paper, abstract, or other scholarly work.
Scholarly works should not use GAI to conduct a scientific literature review or to support logical reasoning or scientific conclusions without direct and documented human verification.
Researchers may not input unpublished data, confidential information, proprietary methods, or any content subject to sponsor restrictions into third-party GAI tools unless explicitly permitted by the contract, sponsor, or data provider.
Researchers who use GAI in connection with datasets or analysis are expected to avoid disclosing any protected health information, personally identifiable information, export-controlled data, or sensitive university information in prompts or uploaded files.
Scholarly works should not use GAI to conduct a scientific literature review or to support logical reasoning or scientific conclusions without direct and documented human verification.
If GAI was used for a literature review, save and submit screenshots or reports confirming that all cited literature sources have been verified by the researcher.
Researchers may not use GAI to draft or generate content for grant proposals, progress reports, IRB applications, conflict of interest disclosures, or any compliance-related submission unless explicitly authorized by the applicable sponsor, publisher, or oversight body.
Researchers are responsible for complying with the terms and conditions of sponsors, publishers, and collaborators regarding use of AI. If a journal, conference, or sponsor prohibits or restricts GAI use, those rules govern.
Researchers must disclose use of GAI in the manuscript according to these terms:
(a) Include transparent disclosure of use of GAI in manuscript cover letters and in the title page or acknowledgment section of the manuscript.
(b) Save and store copies of all draft work, including AI prompts and all outputs generated.
(c) If GAI was used for a literature review, save and submit screenshots or reports confirming that all cited literature sources have been verified by the researcher.
The use of GAI does not exempt human researchers from responsibility for the quality and integrity of all manuscript content. Researchers are fully accountable for all statements, data, references, and conclusions in the final work.
Students: If your instructor allows AI use for your work, be sure to do the following in all your assignments:
• Cite every use of AI in your work according to your discipline’s standards or according to your instructor’s instructions. Explain clearly and specifically what prompts you used to generate output, and what output generated by AI appears in your submitted work.
Researchers must disclose use of GAI in the manuscript according to these terms:
(a) Include transparent disclosure of use of GAI in manuscript cover letters and in the title page or acknowledgment section of the manuscript.
(b) Save and store copies of all draft work, including AI prompts and all outputs generated.
Academic misconduct includes “Disregarding, violating, or circumventing course requirements, including use of unauthorized resources.”
The instructor reserves the right to utilize and apply tools, methods, processes, and/or resources designed to aid in determining the veracity and authenticity of student submissions. This may include use of anti-plagiarism software or software designed to identify output generated by artificial intelligence. Such tools, methods, processes, and/or resources may produce false positives or false negatives, and may require some degree of judgment in their application and interpretation. If the instructor reasonably concludes that there has been a violation of this AI policy, they may recommend an academic penalty and/or submit an academic misconduct referral.
The instructor may use this information to discuss the assignment and/or AI use concerns with the student before determining next steps. In some instances, this may include an oral review of the submitted work and process.
If a student is found to have committed academic misconduct, the purpose of the resulting sanction is twofold: 1) to hold the student accountable for the violation, and 2) to educate the student as to why the behavior was unacceptable and how to avoid similar actions in the future. Penalties will be determined by the degree of seriousness of the offense and may be administered at the instructor and/or University level.
The amount of weight attributed to the violation in determining any institutional penalty may differ depending on whether the student has a previous academic misconduct violation(s).
University-provided AI tools may be used to support learning, research, creativity, and administrative efficiency. Use must remain responsible, ethical, and compliant with university policies and applicable law.
You are responsible for reviewing and verifying AI-generated content before relying on it or sharing it with others.
AI output must not be used as the sole basis for decisions that affect a person’s academic standing, employment, legal rights, financial obligations, or access to university services.
Do not upload or share Restricted or Sensitive data with publicly available or unapproved AI tools.
Instructors should set expectations that indicate to what extent students can use AI in a course. A statement around use and disclosure of AI should include a disclaimer that instructors can and should adapt according to course and assignment use.
University-provided AI tools may be used to support learning, research, creativity, and administrative efficiency. Use must remain responsible, ethical, and compliant with university policies and applicable law.
Do not upload or share Restricted or Sensitive data with publicly available or unapproved AI tools.
Use AI tools in ways that align with UIC’s Data Classification standards and security requirements.
Restricted data is information protected by law, regulation, contract, or policy, requiring the highest level of security controls.
Sensitive data is information that is not legally protected but could cause harm or disruption if disclosed, altered, or lost.
Researchers may not input unpublished data, confidential information, proprietary methods, or any content subject to sponsor restrictions into third-party GAI tools unless explicitly permitted by the contract, sponsor, or data provider.
Researchers who use GAI in connection with datasets or analysis are expected to avoid disclosing any protected health information, personally identifiable information, export-controlled data, or sensitive university information in prompts or uploaded files.
University-provided AI tools may be used to support learning, research, creativity, and administrative efficiency. Use must remain responsible, ethical, and compliant with university policies and applicable law.
Use AI tools in ways that align with UIC’s Data Classification standards and security requirements.
UIC has established AI advisory groups to help guide the thoughtful, secure, and effective use of artificial intelligence across the university.
These groups bring together faculty, staff, and subject matter experts to:
• advise on AI-related opportunities and risks
• support implementation of university AI tools and services
• promote responsible, ethical, and inclusive use of AI
• help align AI efforts with UIC’s mission and strategic priorities
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.
University of Illinois Chicago has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
UIC requires disclosure and attribution of AI use when an instructor allows AI in student work. Students must cite every use of AI, explain the prompts and generated output included in the submission, and follow disciplinary or instructor instructions; for research manuscripts, researchers must also disclose AI use and retain prompts and outputs.
UIC treats unauthorized AI use as potential academic misconduct under its general academic integrity process. The institution's AI syllabus statement says instructors may use AI-detection software but warns that these tools can make errors and that students may need to discuss flagged work with the instructor; penalties are handled through established academic misconduct procedures.
UIC requires users to follow university data-classification rules when using AI. Restricted or Sensitive data cannot be entered into public or unapproved AI tools, while institutionally provided AI tools are the approved option for university use; research guidance separately prohibits sharing protected, confidential, proprietary, sponsor-restricted, or regulated data with third-party AI systems unless expressly allowed.
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