Cleveland Institute of Art AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
33%4 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
Not Defined
Disclosure
No specific AI disclosure or attribution requirements have been published.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Cleveland Institute of Art has defined AI policies across 4 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. There are no specific AI disclosure requirements currently defined. 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, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI Permitted
  • Use of AI in graded course work is set at the course level
  • The college requires every syllabus to include an AI policy, and faculty decide whether AI is allowed, when it is allowed, and whether limits apply to specific assignment types

This Fall, all course syllabi must include a policy on student use of AI tools. Faculty have full autonomy to decide whether and how AI may be used in their courses. Policies should clarify if AI is permitted, and if so, when and how it may be used—whether broadly or specific to assignment types.

U2Examinations & Assessments
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No policy defined yet
U3Learning & Study Assistance
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No policy defined yet
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
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No policy defined yet
U9Detection & Enforcement
Penalties Defined
  • Enforcement for unauthorized AI use is delegated to faculty through course policies
  • Instructors are told to state consequences for unapproved AI use, including possible treatment as academic dishonesty or plagiarism and penalties up to referral for academic misconduct

Faculty should also clearly state the consequences for unapproved use of AI tools, such as whether it will be considered academic dishonesty or plagiarism, and what penalties may apply (e.g., failing the assignment, receiving a zero, or being referred for academic misconduct). Faculty may want to reference CIA's Student Handbook for specific language or policies, particularly the section on academic integrity.

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Institutional & Administrative

U10Faculty & Staff Use
Training Available
  • Faculty and staff are included in the institution's AI philosophy and are expected to develop critical, ethical engagement with AI
  • For teaching, faculty have full autonomy to decide course AI rules, and the college provides workshops and support on using AI in teaching

We seek to equip students, faculty, and staff with critical tools to assess, question, and engage with AI on campus and beyond — and to empower our members to find and utilize the principles and tools that support their personal missions.

Faculty have full autonomy to decide whether and how AI may be used in their courses.

Using AI in Teaching. This is an asynchronous version of a workshop on using AI in Teaching. Topics include ethical considerations, using AI to support challenging assignments, crafting prompts to support teaching and learning, and the importance of having course policies on AI.

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • Its stated strategy is to advance learning, innovation, digital literacy, and ethical AI engagement across curriculum and operations
  • The college has an institution-level AI philosophy approved by leadership and has organized governance activity through committees and faculty fellows

This philosophy was created by the Teaching and Learning Committee in 2024 and approved by Cabinet in May 2025.

The “committee” to which Weaver refers is CIA’s AI in Creative Practice Committee, which includes faculty members Jimmy Kuehnle (Sculpture + Expanded Media), Scott Ligon (Foundation), Suzie McGinness ’07 (Illustration), Jason Tilk ’97 (Industrial Design) and herself (Liberal Arts). Together, they represent each of the College’s five academic divisions—and it was this team that participated in the AAC&U institute.

CIA approved an institutional philosophy regarding AI this past spring semester. The philosophy—cultivated over the course of a year by 11 faculty and staff members on the College’s Teaching + Learning Committee—doesn’t endorse AI itself but instead endorses learning and innovation around AI.

“We have a responsibility to do everything we can to advance digital literacy and future-proof both our curriculum and our operations so that students—and the College—don’t get left behind amid technological disruption,” Heidemann says.

Another of CIA’s forward-thinking approaches involves three new Jane B. Nord Center for Teaching + Learning faculty fellows who will focus on AI and emerging technologies during the 2025–26 academic year.

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.

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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