Academy of Art University AI Policy

CaliforniaPrivateLast Updated: February 2026

Academic IntegrityTeaching & Learning
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Policy Coverage
42%5 of 12
Varies by Course
Coursework
AI use in coursework is determined at the instructor level. Each course may have different rules about AI tools.
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.
Not Defined
Governance
No formal AI governance structure or strategy has been published.
POLICY OVERVIEW

AI Policy Summary

Academy of Art University has defined AI policies across 5 of 12 policy categories, covering Academic Integrity, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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.

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Teaching & Learning

U1Coursework & Assignments
Instructor DiscretionAttribution Required
  • Whether assistance is authorized may depend on instructor, departmental, and/or university policy
  • For coursework submitted for credit, students must produce original work without unauthorized assistance
  • AI-generated material cannot be presented as the student's own work, and any use of AI-generated source material must be properly cited

The principle of academic honesty is understood to include the writing of papers, reports, quizzes, presentations, projects and examinations, as well as the creation of art, design, performance, or compositional (music and coding) work. Students are expected to participate fully in their academic studies by contributing their own ideas and understanding to each assignment. All material submitted for credit must be original work created for a specific assignment without any unauthorized assistance.

All art, design, performance and compositional work, and all written work, must be the original work of the student and a result of their independent effort. Any work previously created by the student for another project and/or purpose may not be reused and claimed as original work unless authorized by the instructor. This includes misrepresenting work/material either created by someone else or AI-generated as one’s own, or buying or selling written or visual work to be turned in for a class.

Any quotations, paraphrases, or direct appropriation of imagery or ideas from source material, including that generated by AI, must be properly cited according to university, departmental, and/or instructor policy.

U2Examinations & Assessments
AI Prohibited in Exams
  • AI use in exams and other assessments is prohibited unless the instructor has specifically authorized it
  • The policy treats unauthorized AI-generated answers or materials during test-taking as cheating, and students must follow instructor test-taking instructions

The principle of academic honesty is understood to include the writing of papers, reports, quizzes, presentations, projects and examinations, as well as the creation of art, design, performance, or compositional (music and coding) work.

Cheating is defined as accepting or giving aid to another during a written exam or for a written report unless authorized by the instructor, or accepting or giving aid to another for an individual studio project unless authorized by the instructor.

Cheating also includes dependence on sources, other than those specifically authorized by the instructor; possession of tests or other materials before such materials have been distributed by the instructor, unless prior permission is granted; unauthorized use of AI-generated answers or materials; failing to abide by the instructions of the instructor with respect to test-taking procedures;

U3Learning & Study Assistance
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No policy defined yet
U4Code Generation & Programming
Instructor Discretion
  • Instructor authorization can create exceptions
  • Programming and coding work is covered by the university's academic honesty rules
  • Students must submit original coding work without unauthorized assistance, and AI-generated coding output cannot be misrepresented as the student's own work

The principle of academic honesty is understood to include the writing of papers, reports, quizzes, presentations, projects and examinations, as well as the creation of art, design, performance, or compositional (music and coding) work. Students are expected to participate fully in their academic studies by contributing their own ideas and understanding to each assignment. All material submitted for credit must be original work created for a specific assignment without any unauthorized assistance.

All art, design, performance and compositional work, and all written work, must be the original work of the student and a result of their independent effort.

This includes misrepresenting work/material either created by someone else or AI-generated as one’s own, or buying or selling written or visual work to be turned in for a class.

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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
  • Collaborative work used in whole or in part must also be acknowledged and attributed to all co-creators
  • When students use AI-generated source material, they must properly cite it according to university, departmental, and/or instructor policy

Any quotations, paraphrases, or direct appropriation of imagery or ideas from source material, including that generated by AI, must be properly cited according to university, departmental, and/or instructor policy. All work created in collaboration used in whole (or in part) must be acknowledged as such, and correctly attributed to all co-creators.

U9Detection & Enforcement
Detection Tools Used
  • The sources do not define any AI detection tools
  • The university states that AI-related academic honesty violations are handled individually and may lead to suspension or dismissal
  • Plagiarism involving AI can result in a zero on the assignment, reporting to the Department Director and Executive Office, an F for the course, a transcript notation, and for multiple violations, suspension or permanent dismissal

Academy of Art University addresses violations of this academic honesty policy on an individual basis. Academic honesty violations may be grounds for suspension or dismissal.

Any student who plagiarizes will receive a zero for that assignment or project, with no opportunity to do the assignment again. All plagiarism offenses will be reported to the Department Director and to the Executive Office. Multiple instances of plagiarism in a single class will result in a final course grade of F, and a notation will be indicated on the student’s transcript.

Plagiarism is a violation of Academy of Art University’s Academic Honesty Policy. Multiple plagiarism violations will be grounds for suspension or permanent dismissal from Academy of Art University. This policy as written in the Student and Academic Policies constitutes an official warning to each student.

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Institutional & Administrative

U10Faculty & Staff Use
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No policy defined yet
U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
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No policy defined yet

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