Dominican University of California AI Policy

PublicLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
Visit Website ↗
Policy Coverage
67%8 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
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

Dominican University of California has defined AI policies across 8 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. At the institutional level, the university has established guidelines for faculty and staff AI use.

📚

Teaching & Learning

U1Coursework & Assignments
AI ProhibitedAttribution Required
  • When AI use is permitted, the resulting work must be submitted with attribution
  • Students are prohibited from using AI tools to generate whole assignments or parts of assignments unless the instructor gives permission or the use is built into the assignment

Unless students have permission from the course instructor or it is part of a course assignment, they are prohibited from using AI tools to generate entire assignments or portions of assignments. Violations include, but are not limited to, using text or art generators to produce essays, research papers, other written assignments and works of art.Work generated by AI tools with the course instructor's permission should be submitted properly with attribution.

U2Examinations & Assessments
AI Prohibited in Exams
  • The policy does not specifically mention AI use during exams or quizzes
  • It does state more generally that using unauthorized materials during examinations is cheating

* Copying information from another student’s test or using unauthorized materials during an examination, whether an in-class or take-home exam

U3Learning & Study Assistance
AI Encouraged for Study
  • The policy gives examples such as brainstorming, outlining, and grammar improvement
  • AI tools are allowed in the classroom for limited learning support purposes, specifically to help students improve writing skills and support originality and academic integrity

The use of AI tools in the classroom, such as text generators, is welcomed to help students improve their writing skills and understand the importance of originality and academic integrity (e.g., brainstorm writing ideas, outline a topic, suggest improvements for grammar). However, it is important that students understand the proper use of these tools and the consequences of misusing them.

U4Code Generation & Programming
📋
No policy defined yet
🔬

Research

U5Research Writing & Manuscript Preparation
AI Writing Permitted
  • If permission is granted, the AI-generated work must be properly attributed
  • The policy prohibits students from using AI to generate research papers unless the instructor permits it or the assignment specifically includes it

Unless students have permission from the course instructor or it is part of a course assignment, they are prohibited from using AI tools to generate entire assignments or portions of assignments. Violations include, but are not limited to, using text or art generators to produce essays, research papers, other written assignments and works of art.Work generated by AI tools with the course instructor's permission should be submitted properly with attribution.

U6Research Data & Analysis
Data Policy Defined
  • The policy does not address AI use for research data collection or analysis
  • It separately states that falsifying data or laboratory results is cheating

* Falsifying data or laboratory results

U7Research Ethics & Integrity
📋
No policy defined yet
🎓

Academic Integrity

U8Disclosure & Attribution Requirements
Citation Required
  • When students use AI with instructor permission, they must provide attribution
  • More generally, the policy requires acknowledgment of others' ideas or exact language through citation and quotation, and uncredited AI-generated work is subject to penalties

Work generated by AI tools with the course instructor's permission should be submitted properly with attribution.

Any student found to have submitted work that has been generated by an AI tool without proper attribution will be subject to penalties as described in the University's Academic Honesty policy.

Required practices include written citations acknowledging the ideas or work of others that contribute directly to your work. When using the exact language of another, the text must be put in quotation marks and the source acknowledged.

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • The policy does not mention AI detection software
  • Undisclosed AI-generated work can trigger penalties under the academic honesty process
  • Faculty investigate suspected violations, file an Academic Misconduct report if they determine a violation occurred, and penalties may include failure on the assignment or exam, failure in the course, or dismissal from the university

Any student found to have submitted work that has been generated by an AI tool without proper attribution will be subject to penalties as described in the University's Academic Honesty policy.

Should an incident of plagiarism or cheating occur, the faculty member is expected to take swift action. If, after investigating the incident and consulting with the chair of the department within which the course is offered, the faculty member determines a violation did occur, the faculty member will fill out an Academic Misconduct report form and submit a copy to the Dean of the appropriate school with originals going to the Vice President for Academic Affairs.

The report should include copies of the evidence of plagiarism or cheating. The penalties for acts of plagiarism or cheating may include failing an assignment/exam, failing a course, and/or dismissal from the University. Determination of the appropriate penalty will be made by the Vice President for Academic Affairs in consultation with the faculty member and department chair.

🏛️

Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The policy does not set rules for faculty or staff using AI in grading, teaching preparation, or administration
  • It does state that faculty, administration, and staff are expected to model academic integrity and that faculty are responsible for providing guidance on academic honesty

Faculty, administration, staff, and students are expected to demonstrate standards of conduct, personal honor, regard for the rights of others, and respect for order, which are essential for good citizenship and appropriate to the pursuit of academic goals.

The faculty, administration, and staff recognize their obligation to provide continuing guidance as to what constitutes academic honesty and to promote procedures and circumstances that will reinforce the principle of academic honor.

U11Institutional Data Protection & Approved AI Platforms
📋
No policy defined yet
U12University AI Governance & Strategy
📋
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.

FREQUENTLY ASKED QUESTIONS

Common Questions About Dominican University of California's AI Policies

📋

Verify this Information

Related Universities

Same State or Region

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