Policy presence
Stanford University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Stanford, United States
Stanford University has 9 source-backed AI policy claims from 13 official source attributions. Review state: agent reviewed; 9 reviewed claims. Last checked May 6, 2026.
v1 public contract
Stanford University has 9 source-backed AI policy claims from 13 official source attributions, including 9 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 6, 2026. Discovery context: Stanford University is listed as QS 2026 rank 3.
As of this public record, University AI Policy Tracker lists Stanford University as an agent-reviewed AI policy record last checked on May 6, 2026 and last changed on May 6, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 13 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/stanford-university.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
Stanford University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Stanford University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Stanford University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Stanford University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Stanford University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Stanford University has 5 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Stanford University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Stanford University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Stanford University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Stanford University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
Stanford University has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
9 reviewed evidence-backed public claim
Academic Integrity
Oorspronkelijk bewijs
Evidence 1To give sufficient space for instructors to explore uses of generative AI tools in their courses, and to set clear guidelines to students about what uses are and are not consistent with the Stanford Honor Code, the BCA has set forth policy guidance regarding generative AI in the context of coursework. Note: Guidance adopted on February 16, 2023. 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.
Teaching
Oorspronkelijk bewijs
Evidence 1GSB Policy MBA/MSx courses: Instructors may not ban student use of AI tools for take-home coursework, including assignments and exams. Instructors may choose whether to allow student use of AI tools for in-class work, including exams. PhD/Undergraduate courses: Follow the Generative AI Policy Guidance from Stanford's Office of Community Standards.
Teaching
Oorspronkelijk bewijs
Evidence 1Learning and Clarification: Students may utilize AI to enhance their understanding of medical concepts, definitions, and for grammar/style editing, provided it does not conflict with specific assignment instructions or be inconsistent with faculty-authorized tasks. The use of AI tools is discouraged for any activities in which students are evaluated on their own knowledge or skills, unless explicitly granted permission by the faculty. Any substantial contributions from AI tools on assignments, presentations, and scholarly abstracts or proposals must be disclosed and properly cited. Students are responsible for any AI-generated content they submit, even if flawed or biased. All MD and MSPA...
Privacy
Oorspronkelijk bewijs
Evidence 1To ensure that patient confidentiality is maintained at all times, no confidential research, patient data, or other protected health information (PHI) is to be entered into public AI platforms (e.g., ChatGPT, Gemini, OpenEvidence, Doximity, etc.). Patient Confidential Data: The use of patient-identifying information or protected health information (PHI) in public AI tools is strictly forbidden.
Teaching
Oorspronkelijk bewijs
Evidence 1In the absence of a course-specific AI policy set by the instructor, students may use generative AI tools to support their learning and to aid in the development or refinement of their own ideas, provided they do not use such tools to generate content that is then presented as their own work. The use of generative AI while taking an exam or to draft or revise any portion of submitted work is not permitted unless (1) fully disclosed in advance of its use by the student to the instructor, and (2) explicitly authorized by the instructor in writing prior to the student's use of the tool. Unauthorized use of AI tools may result in a lower grade, including a grade of F, and/or a referral to Sta...
Teaching
Oorspronkelijk bewijs
Evidence 1Students may not use generative AI or LLMs to compose the drafts or revisions for any of the major assignments in their PWR classes. This includes using generative AI to compose or revise portions of their essay or scripts (from individual phrases or sentences to longer passages) or including in their essays/scripts paraphrases of LLM-generated writing or paraphrases of source material generated by LLMs. 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).
Academic Integrity
Oorspronkelijk bewijs
Evidence 1To give sufficient space for instructors to explore uses of generative AI tools in their courses, and to set clear guidelines to students about what uses are and are not consistent with the Stanford Honor Code, the BCA has set forth policy guidance regarding generative AI in the context of coursework. Note: Guidance adopted on February 16, 2023.
Other
Oorspronkelijk bewijs
Evidence 1Avoid inputting any sensitive data, such as Moderate or High Risk Data, whether using a personal or Stanford account with a third-party AI platform or tool that is not covered by a Stanford Business Associates Agreement. It's recommended to opt out of sharing data for AI iterative learning wherever possible. If generative AI is to be used to interact with users, obtain their informed consent. If your final product is significantly influenced by an AI platform, consider informing people how you used AI and cite appropriately.
Other
Oorspronkelijk bewijs
Evidence 1These guidelines apply to all regular staff, interns, casual employees, and consultants. You are personally responsible for oversight of any content you produce using AI to ensure that content is accurate, in alignment with institutional values, and in compliance with the policies set forth in this document. You are personally responsible for conforming to this requirement and this responsibility may not be delegated to another employee. You may not provide any confidential or legally privileged information of Stanford or a third party to generative AI tools. Do not use high-risk data in your prompts or include such data as attachments to your prompts.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
13 source attribution
med.stanford.edu
ctl.stanford.edu
ucomm.stanford.edu
ctl.stanford.edu
uit.stanford.edu
ctl.stanford.edu
tlhub.stanford.edu
communitystandards.stanford.edu
pwr.stanford.edu
provost.stanford.edu
uit.stanford.edu
uit.stanford.edu
law.stanford.edu
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