Stanford, United States

Stanford University

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.

Stanford University AI policy short answer

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.

Citation-ready summary

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.

Claim coverage9 reviewedSource languageenPublic JSON/api/public/v1/universities/stanford-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes Other policy claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims9Reviewed9Candidate0Official sources13

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.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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.

Named AI services

Stanford University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Research guidance

Stanford University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Security and procurement

Stanford University has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

9 reviewed evidence-backed public claim

Academic Integrity

Stanford's BCA issued guidance on generative AI use, and the Office of Community Standards recommends that instructors give advance notice to students when using AI detection software.

Review: Agent reviewedConfidence95%

Oorspronkelijk bewijs

Evidence 1
To 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

For Stanford Graduate School of Business (GSB) MBA and 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 AI for in-class work. For PhD and undergraduate courses, GSB follows the university-wide Generative AI Policy Guidance from the Office of Community Standards.

Review: Agent reviewedConfidence95%

Oorspronkelijk bewijs

Evidence 1
GSB 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

Stanford School of Medicine MD and MSPA programs have a formal AI policy: students may use AI for learning, clarification, and grammar/style editing unless contrary to assignment instructions. AI use for closed-book exams or assignments where internet is restricted is prohibited unless explicitly authorized by faculty. Students are responsible for all AI-generated content they submit, must disclose and cite substantial AI contributions, and violations may result in disciplinary action.

Review: Agent reviewedConfidence95%

Oorspronkelijk bewijs

Evidence 1
Learning 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

Stanford School of Medicine MD and MSPA programs strictly prohibit entering confidential research data, patient data, or protected health information (PHI) into public AI platforms. Use of patient-identifying information or PHI in public AI tools is strictly forbidden. Students must use Stanford-approved AI platforms (e.g., Stanford Healthcare Secure GPT, Stanford AI Playground) when handling sensitive data.

Review: Agent reviewedConfidence95%

Oorspronkelijk bewijs

Evidence 1
To 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

Stanford Law School instructors set their own AI policies; in the absence of a course-specific policy, students may use generative AI to support learning and develop or refine their own ideas, but may not use AI to generate content presented as their own work. Using AI during an exam or to draft/revise submitted work is not permitted unless disclosed in advance and explicitly authorized in writing by the instructor. Unauthorized use may result in an F grade and/or referral to Stanford's Office of Community Standards.

Review: Agent reviewedConfidence95%

Oorspronkelijk bewijs

Evidence 1
In 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

Stanford's Program in Writing and Rhetoric (PWR) prohibits students from using generative AI or LLMs to compose drafts or revisions for any major assignment in PWR courses, including composing or revising portions of essays or scripts, including paraphrases of LLM-generated writing. Students may not rely on generative AI summaries of sources. Violation of PWR's AI policy is treated as an Honor Code violation and results in referral to the Office of Community Standards.

Review: Agent reviewedConfidence95%

Oorspronkelijk bewijs

Evidence 1
Students 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

Stanford's Bechtel Center for Advising (BCA) provides guidance on generative AI in the context of the Honor Code, noting that acceptable AI use depends on individual instructor and course policies.

Review: Agent reviewedConfidence90%

Oorspronkelijk bewijs

Evidence 1
To 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

Stanford University IT (UIT) advises users to avoid inputting Moderate or High Risk Data into third-party AI platforms or tools not covered by a Stanford Business Associates Agreement, whether using a personal or Stanford account. Users should opt out of sharing chat data with third-party AI providers when possible.

Review: Agent reviewedConfidence90%

Oorspronkelijk bewijs

Evidence 1
Avoid 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

Stanford University Communications (UComm) has issued AI guidelines for marketing and communications staff requiring: human oversight of all AI-generated content (non-delegable personal responsibility), adherence to university policies, prohibition on inputting confidential or legally privileged information into generative AI tools, prohibition on using AI to promote for-profit organizations or engage in political advocacy, and prohibition on using high-risk data in prompts. Stanford AI Playground is recommended as the primary platform. These guidelines apply to all regular staff, interns, casual employees, and consultants in marketing and communications functions.

Review: Agent reviewedConfidence90%

Oorspronkelijk bewijs

Evidence 1
These 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.

Candidate claims

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.

Official sources

13 source attribution

AI Meets Education at Stanford (AIMES)

ctl.stanford.edu

Snapshot hash
57e3fd0e204837f5675b4d7574bc0e80c8a3ea77ed35f25d633d980877f8d2f9

AI Playground Quick Start Guide - University IT

uit.stanford.edu

Snapshot hash
56d7c59c0b23d411ad4aa7ec660eadd239c0a02c6f4bbf186cd75e79054971e6

University IT AI Hub

uit.stanford.edu

Snapshot hash
4a81586fe631363a2723400e8cb208bdae6a10b4967630ca57c30a7c94b76005

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 6, 2026Last changedMay 6, 2026Open change log

Corrections and missing evidence

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