Stanford University has defined AI policies across 11 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 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.
Absent a clear statement from a course instructor, use of or consultation with generative AI shall be treated analogously to assistance from another person.
In particular, using generative AI tools to substantially complete an assignment or exam (e.g. by entering exam or assignment questions) is not permitted.
Individual course instructors are free to set their own policies regulating the use of generative AI tools in their courses, including allowing or disallowing some or all uses of such tools. Course instructors should set such policies in their course syllabi and clearly communicate such policies to students.
Absent a clear statement from a course instructor, use of or consultation with generative AI shall be treated analogously to assistance from another person.
In particular, using generative AI tools to substantially complete an assignment or exam (e.g. by entering exam or assignment questions) is not permitted.
Individual course instructors are free to set their own policies regulating the use of generative AI tools in their courses, including allowing or disallowing some or all uses of such tools. Course instructors should set such policies in their course syllabi and clearly communicate such policies to students.
While these tools have applications that foster student learning and understanding, these tools can also be used in ways that bypass key learning objectives.
If you are in doubt about whether a generative AI source (or any source) is permitted aid in the context of a particular assignment, talk with the instructor.
Absent a clear statement from a course instructor, use of or consultation with generative AI shall be treated analogously to assistance from another person.
In particular, using generative AI tools to substantially complete an assignment or exam (e.g. by entering exam or assignment questions) is not permitted.
Individual course instructors are free to set their own policies regulating the use of generative AI tools in their courses, including allowing or disallowing some or all uses of such tools.
This can also apply to using AI to generate code, which could be badly constructed, insecure, create backdoors, and even risk intellectual property infringement.
The AI API Gateway is approved for use with Low and Moderate-Risk Data. It is not yet approved for use with Protected Health Information (PHI) and other High Risk Data.
Microsoft Copilot Chat (free) is approved for Low and Moderate Risk Data ONLY. Do not input High Risk Data into the free Copilot Chat window.
Prohibited data for the free Microsoft Copilot Chat includes:
High-risk research data
As of this writing, the Stanford AI Playground is not approved for high-risk data.
Recommended Best Practices For content creation: If use of generative AI is permitted at all, one should always transparently cite its use.
In this context, the university expects that content generation using AI will be done ethically and with human oversight.
Irrespective of the application, you must adhere to the University Code of Conduct, Information Security, and Privacy Policies when using AI technologies.
Students should acknowledge the use of generative AI (other than incidental use) and default to disclosing such assistance when in doubt.
Recommended Best Practices For content creation: If use of generative AI is permitted at all, one should always transparently cite its use.
NOTE: As part of the BCA’s guidance on clear communication of a course’s generative AI policy, OCS recommends course instructors provide clear advance notice that they may use detection software to review work submitted for use of generative AI.
Violation of PWR’s AI policy is considered an Honor Code violation and will result in the involvement of Stanford’s Office of Community Standards (OCS).
The university expects that content generation using AI will be done ethically and with human oversight.
These guidelines apply to all regular staff, interns, casual employees, and consultants.
Irrespective of the application, you must adhere to the University Code of Conduct, Information Security, and Privacy Policies when using AI technologies.
The AI API Gateway is approved for use with Low and Moderate-Risk Data. It is not yet approved for use with Protected Health Information (PHI) and other High Risk Data.
Microsoft Copilot Chat (free) is approved for Low and Moderate Risk Data ONLY. Do not input High Risk Data into the free Copilot Chat window.
Due to security, privacy, and compliance concerns, applications that have not been evaluated by the university and require access to Stanford email, such as Superhuman, are not permitted.
You may not provide any confidential or legally privileged information of Stanford or a third party to generative AI tools.
As of this writing, the Stanford AI Playground is not approved for high-risk data.
The BCA will continue to monitor developments in these tools and their use in academic settings and may update this guidance.
Readers of these guidelines are strongly encouraged to familiarize themselves with the full content of the committee report.
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.
Stanford University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Stanford’s Office of Community Standards guidance states that students should acknowledge generative AI use (beyond incidental use) and default to disclosing AI assistance when in doubt. Separately, Stanford IT responsible-AI guidance recommends transparent citation of generative AI use for content creation when it is permitted at all.
Stanford’s Office of Community Standards guidance recommends that instructors provide clear advance notice if they may use detection software to review submitted work for generative AI use. In a program-level policy, Stanford’s Program in Writing and Rhetoric (PWR) states that violation of its AI policy is considered an Honor Code violation and will result in the involvement of the Office of Community Standards.
Stanford IT guidance restricts use of some Stanford-provided AI services by data risk classification (e.g., certain tools are approved for Low and Moderate-Risk Data only and not for PHI/other High Risk Data). Stanford’s risk-classification guidance also states that applications not evaluated by the university that require access to Stanford email are not permitted due to security, privacy, and compliance concerns. Stanford’s marketing and communications AI guidelines additionally state that confidential or legally privileged information may not be provided to generative AI tools and that (as of that guidance) the Stanford AI Playground is not approved for high-risk data.
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