Robert Morris University AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
67%8 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Robert Morris University has defined AI policies across 8 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. 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. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI PermittedAttribution RequiredViolations Enforced
  • Use of AI in coursework is at instructor discretion
  • The academic integrity policy treats unauthorized AI use to complete work or aid a project as a violation
  • Students may only use AI for coursework when the instructor specifically allows it, and any AI-generated information used in the work must be cited

B1.3 Use of artificial intelligence (AI) or any other machine authored content, to complete any

work, except as specifically allowed by the instructor, in which case the information

generated by AI must be cited.

C1.3 Collaboration with another or the use of AI to aid in completion of a project unless

specifically allowed by the instructor.

Students: please note that AI tools may only be used in coursework when authorized by your instructor (see policy for more details).

U2Examinations & Assessments
AI Prohibited in Exams
  • AI use during exams is prohibited unless the instructor permits it
  • The policy classifies use of AI among prohibited resources during an exam as cheating and also treats using prohibited technologies during exams as a violation unless permitted by the instructor

B2.0 Cheating: Using prohibited materials, devices, or other resources (including people or AI) to gain

an academic advantage. Cheating includes:

B2.3 Using technologies, such as calculators, phones, laptops, etc., during exams except as

permitted by the instructor.

C2.5 Use of prohibited resources during an exam, including but not limited to, cell phones,

calculators, notes, other people’s work, or AI.

U3Learning & Study Assistance
AI Encouraged for Study
  • The explicit enforceable rule provided is that coursework use requires instructor authorization; separate study-assistance rules are not defined
  • The university frames AI as a tool to support learning under human oversight, but it does not set a specific standalone rule for students' personal, non-graded study use

We Commit to Augmentation over Replacement – We view artificial intelligence as a powerful tool to empower and elevate human critical thinking, creativity, and ethical reasoning, never to replace it.

We Believe in "Human-in-the-Loop" Collaboration – We value the active participation of human judgment to continuously verify and guide AI outputs, ensuring our tools serve the greater good.

Students: please note that AI tools may only be used in coursework when authorized by your instructor (see policy for more details).

U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • Disclosure through citation is required when AI use is allowed by the instructor
  • RMU's broader AI principles also state that meaningful human oversight and clear disclosure are essential

B1.3 Use of artificial intelligence (AI) or any other machine authored content, to complete any

work, except as specifically allowed by the instructor, in which case the information

generated by AI must be cited.

We Share the Responsibility of Oversight - We believe that meaningful human oversight and clear disclosure are essential in advancing human learning and well-being.

It also includes the AI Signal Framework for transparency in AI usage, guidance on ethical issues like bias, and comprehensive citation protocols for APA, MLA and Chicago.

U9Detection & Enforcement
Detection Tools UsedIntegrity Process
  • RMU enforces AI-related misconduct through its academic integrity process
  • The policy classifies unauthorized AI use in academic work and use of AI to create all or nearly all of an academic work as violations
  • Suspected violations must be reported to the instructor and/or the Academic Integrity Council, and the university provides access to Turnitin as anti-plagiarism software

Any student suspected of a violation of academic integrity must report to the instructor in charge of the course and/or to the Academic Integrity Council.

This link provides access to a description of 'Turnitin', anti-plagiarism software. Click on 'training' for detailed information regarding the use of the software.

C2.9 Use of AI to create all or nearly all of an entire academic work.

The following constitute violations of academic integrity and will not be tolerated at Robert Morris

University.

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • Faculty and staff are permitted to use university-approved AI tools for university business, including teaching, scholarship, and administrative work
  • RMU also states that educators retain ultimate authority for instructional decisions, and faculty are encouraged to explore new technologies with support

The following AI tools are permitted for use when doing university business, which includes, but is not limited to teaching, producing scholarship and completing administrative work.

We Trust Our Educators – We affirm that qualified educators, rather than algorithmic systems, hold the ultimate authority and responsibility for all instructional decisions.

We Value Academic Freedom and Support – We encourage our faculty to bravely explore new technologies while ensuring that our community receives the support needed to engage with these systems critically, responsibly, and equitably.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • RMU restricts university business use to approved AI tools covered by university license agreements
  • Its AI principles also emphasize protecting confidential and restricted records and compliance with FERPA and HIPAA
  • The university states that data security and privacy have been vetted for those tools, and that personally identifiable information and intellectual property are safe only within those approved environments

The following AI tools are permitted for use when doing university business, which includes, but is not limited to teaching, producing scholarship and completing administrative work. RMU has license agreements with the vendors of these tools, where data security and privacy have been vetted.

* Personally identifiable information (PII) and Intellectual Property (IP) are safe in these environments (only)

We Commit to Secure Innovation – Recognizing how AI models process information, we prioritize the strict protection of confidential and restricted records, ensuring no technology compromises our ethical or legal obligations (such as FERPA and HIPAA).

U12University AI Governance & Strategy
Governance Body Active
  • RMU has an institution-wide AI framework for teaching, learning, and scholarship built around guiding principles on human agency, oversight, transparency, privacy, accessibility, and support
  • Governance is assigned to the Academic Council on Artificial Intelligence, which stewards the policy, recommends actions to the Provost and Vice President of Academic Affairs, reviews updates regularly, interprets policy questions, and suggests training

Driven by our vision to empower student potential and our mission to develop career-ready individuals, RMU embraces the transformative power of artificial intelligence in education. To ensure our academic community navigates this evolving landscape safely, effectively and in a positive manner, we have established the following comprehensive framework guiding the beneficial, responsible, and ethical use of AI in all teaching, learning, and scholarship.

The Academic Council on Artificial Intelligence (ACAI) acts as a steward of the Usage of Artificial Intelligence policy and any decisions or actions taken by the council will result in a recommendation to the Provost and Vice President of Academic Affairs.

ACAI members will:

* Review and suggest updates for this policy on a regular basis

* In a timely manner, convene in-person or virtually to interpret questions about this policy posed by instructional faculty or members of the Academic Integrity Council, which cannot be readily addressed by existing policy language

* Suggests training ideas/opportunities as needed

DocuMark: Responsible AI Use for Academic Integrity

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.

FREQUENTLY ASKED QUESTIONS

Common Questions About Robert Morris University's AI Policies

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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