Rutgers University-New Brunswick has defined AI policies across 12 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. 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.
At Rutgers, guidance on the appropriate use of AI tools in academic settings will typically vary depending on the discipline, course, and/or instructor.
Though AI tools are widely available to students, they should not be considered permissible for coursework unless clearly stated or communicated by instructors. Students are responsible for understanding and abiding by their program and instructors’ guidance or rules on the use of AI.
Be aware of all course policies governing the use of GenAI which may
vary. Some instructors may permit usage with proper attribution, while
At Rutgers, guidance on the appropriate use of AI tools in academic settings will typically vary depending on the discipline, course, and/or instructor.
Students are responsible for understanding and abiding by their program and instructors’ guidance or rules on the use of AI.
Cheating - the use or possession of inappropriate or prohibited materials, information, sources, or aids in any academic exercise.
Using or having access to books, notes, calculators, cell phones, technology, or other prohibited devices or materials during a quiz or examination.
Avoid using
GenAI technologies to replace these critical learning opportunities as such
actions can have negative impacts on your future endeavors. While some
GenAI technologies can support learning, generally they are supplemental
tools.
Generative AI assistants and AI-based tools allow you to get help with brainstorming ideas, drafting documents, editing computer code, and more.
At Rutgers, guidance on the appropriate use of AI tools in academic settings will typically vary depending on the discipline, course, and/or instructor.
Though AI tools are widely available to students, they should not be considered permissible for coursework unless clearly stated or communicated by instructors.
Generative AI assistants and AI-based tools allow you to get help with brainstorming ideas, drafting documents, editing computer code, and more.
ChatGPT Edu at Rutgers offers access to advanced AI tools for writing, researching, coding, and more.
Always review and verify AI content and outputs. AI tools can produce biased and inaccurate information, and may include copyrighted information without attribution. You are responsible for ensuring the accuracy and appropriateness of AI-generated content used for university work.
ChatGPT Edu at Rutgers offers access to advanced AI tools for writing, researching, coding, and more.
Confidential information, Protected Health Information (PHI), and other proprietary Rutgers information may not be appropriate for use in AI applications and systems. For additional guidance, please consult this data classification chart for AI tools, as well as the Information Classification Policy 70.1.2 and other Information Technology policies.
The table describes which data types can be processed on each Rutgers AI platform.
Copyrightable and patentable information related to research
Research materials containing IRB-prohibited data
NOTE: Items marked with a “?“ either have special conditions attached to the storage of this type of data or approval is required before the listed type of data can be used in the service.
Using unethical or improper means of acquiring, analyzing, or reporting data in a course research project, a senior thesis project, a master’s or doctoral research project, grant-funded research, or research submitted for publication.
As noted in Rutgers Academic Integrity Policy 10.2.13, the principles of academic integrity require that students ensure that coursework be “the student’s own and created without the aid of impermissible technologies, materials, or collaborations.”
Be aware of all course policies governing the use of GenAI which may
vary. Some instructors may permit usage with proper attribution, while
Copying word for word (i.e. quoting directly) from an oral, printed, or electronic source without proper attribution.
Paraphrasing without proper attribution, i.e., presenting in one’s own words another person’s written words or ideas as if they were one’s own, regardless of the nature of the assignment.
Incorporating into one’s work graphs, drawings, photographs, diagrams, tables, spreadsheets, computer programs, or other non-textual material from other sources, regardless of format, without proper attribution.
Details on standards of academic integrity and the process for adjudicating alleged violations of those standards.
This Academic Integrity Policy applies to all schools and academic units of Rutgers, The State University of New Jersey.
The Office of Information Technology (OIT) provides access to generative AI tools with protections for use in university work. The tools licensed by Rutgers include security and privacy safeguards for appropriate use at the university.
To protect university data and ensure appropriate use, only Rutgers-approved AI tools should be used at the university.
Faculty should consider providing guidance to students on the use of AI to support learning and coursework, and students are encouraged to review course materials and speak with their instructors to understand any specific expectations related to AI.
Always review and verify AI content and outputs.
By using the Rutgers-approved versions of these tools, your data will not be used to train the models underlying the tools. To protect university data and ensure appropriate use, only Rutgers-approved AI tools should be used at the university.
The table describes which data types can be processed on each Rutgers AI platform.
IMPORTANT: These solutions are not appropriate for storing, processing, or sharing most types of institutional data classified as “Critical.”
Important note: PHI should not be uploaded to Gemini.
Important note: PHI and Rutgers business information should not be uploaded to NotebookLM.
PHI and Rutgers business information should not be uploaded to Google AI Pro.
A steering committee is tasked with coordinating guidance and recommendations on the development, implementation, and governance of AI at Rutgers.
The AI@Rutgers Steering Committee is tasked with coordinating and consolidating guidance and recommendations on the development, implementation, and governance of artificial intelligence (AI) technologies at Rutgers.
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.
Rutgers University-New Brunswick has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Rutgers does not define a single university-wide AI citation/disclosure rule in the provided sources, but states that course-level AI policies may vary and that some instructors may permit GenAI use with proper attribution. Rutgers Academic Integrity Policy defines plagiarism as copying or paraphrasing without proper attribution and incorporating materials without proper attribution.
Rutgers Academic Integrity Policy describes that it covers standards of academic integrity and the process for adjudicating alleged violations, and it applies to all schools and academic units. The provided sources do not define an institutional position on AI detection tools specifically.
Rutgers states that only Rutgers-approved AI tools should be used at the university, and that using Rutgers-approved versions means data will not be used to train underlying models. Rutgers provides a data classification chart/matrix describing which data types can be processed on each Rutgers AI platform and warns that these solutions are not appropriate for most data classified as "Critical". Specific tool pages also warn that PHI and/or Rutgers business information should not be uploaded to certain tools.
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