Policy presence
Brown University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Providence, United States
Brown University
Brown University has 9 source-backed AI policy claims from 6 official source attributions. Review state: agent reviewed; 9 reviewed claims. Last checked May 12, 2026.
Brown University AI policy short answer
v1 public contract
Brown University has 9 source-backed AI policy claims from 6 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 12, 2026. Discovery context: Brown University is listed as QS 2026 rank 69.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Brown University as an agent-reviewed AI policy record last checked on May 12, 2026 and last changed on May 12, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/brown-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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Evidence includes Security review claims.
- Named AI services detected in public claims: Gemini.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Brown University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Brown University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Brown University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Brown University has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Brown University has 4 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
Brown University has 4 source-backed public claims for named ai services; deterministic analysis status: conditionally_allowed.
Teaching guidance
Brown University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Brown University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
Brown University has 2 source-backed public claims for security and procurement; deterministic analysis status: conditionally_allowed.
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
Privacy
Brown OIT guidance says users should not enter Level 2 or 3 Brown data into publicly available or vendor-enabled AI tools unless Brown has a contract for a specific service that protects the data.
Review: Agent reviewed
Normalized value: no_level_2_or_3_data_without_protective_contract
Evidencia original
Evidence 1Unless Brown has a contract for a specific service which protects our data, do not enter Level 2 or 3 data into publicly available or vendor-enabled AI tools.
Ai Tool Treatment
Brown OIT guidance says Google Gemini Chat and NotebookLM are accessible at no cost to Brown and can be used with data classified as Risk Level 3, unlike consumer AI services named on the page with which Brown does not have agreements.
Review: Agent reviewed
Normalized value: gemini_notebooklm_accessible_risk_level_3
Evidencia original
Evidence 1The two Artificial Intelligence (AI) services Google Gemini Chat and NotebookLM are now accessible at no cost to Brown. These services can be used with data classified as Risk Level 3 (unlike consumer AI services such as ChatGPT, DeepSeek, and Claude with whom Brown does not have agreements).
Academic Integrity
Brown Provost guidance says any unapproved use of AI to complete assignments would be covered by Brown’s Academic Code and Graduate Student Edition Academic Code.
Review: Agent reviewed
Normalized value: unapproved_ai_assignment_use_academic_code
Evidencia original
Evidence 1Any unapproved use of AI to complete assignments would be covered by Brown’s Academic Code and Academic Code, Graduate Student Edition.
Teaching
Brown University Provost guidance says the University is not prescribing specific AI policies, and that faculty should give clear, unambiguous information about what AI use is and is not allowed in their courses.
Review: Agent reviewed
Normalized value: instructor_discretion_clear_course_expectations
Evidencia original
Evidence 1While the University is not prescribing specific AI policies, faculty should offer clear, unambiguous information about what is, and is not, allowed in their courses.
Ai Tool Treatment
Brown OIT guidance says Gemini and NotebookLM are optional tools available to Brown students, Brown staff, Brown-paid faculty, and Brown clinical/medical faculty.
Review: Agent reviewed
Normalized value: gemini_notebooklm_optional_available_to_brown_community_roles
Evidencia original
Evidence 1Google Gemini and NotebookLM are available to: Brown students Brown staff Brown-paid faculty Brown clinical/medical faculty
Academic Integrity
Brown Sheridan Center guidance says instructors should be explicit with students about expectations for generative AI use, including how students should, might, or cannot engage with it.
Review: Agent reviewed
Normalized value: ai_use_expectations_require_explicit_course_guidelines
Evidencia original
Evidence 1Because of changing norms and the wide variety of instructional practice, it is essential for instructors to be explicit to students about their own expectations.
Research
Brown OIT research guidance says researchers should deeply review AI-generated code for quality and efficiency.
Review: Agent reviewed
Normalized value: research_ai_generated_code_requires_deep_review
Evidencia original
Evidence 1It’s critical to deeply review all code generated with these tools for quality and efficiency.
Security Review
Brown OIT guidance says AI tool use is subject to the same policies as other information technology resources, including acceptable use, copyright, conduct, and contract review policies.
Review: Agent reviewed
Normalized value: ai_tools_subject_to_existing_it_and_contract_policies
Evidencia original
Evidence 1Use of AI tools is subject to the same policies as other information technology resources. Familiarize yourself and follow these guidelines at Brown: The Code of Conduct and Student Code of Conduct ... The Acceptable Use of Information Technology Policy ... The Copyright Ownership and Use Policy ... The Contract Review Policies and Process
Privacy
Brown University Communications guidance for Brown communicators says not to input identifying personal information or proprietary information into AI tools.
Review: Agent reviewed
Normalized value: communicators_no_identifying_personal_or_proprietary_info_in_ai
Evidencia original
Evidence 1This includes a prohibition against inputting names, birthdates, addresses, grades, performance ratings, etc. into any AI tool in ways that identify individuals ... This includes a prohibition against inputting proprietary information into any AI tool
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
6 source attribution
AI Guidelines for Brown Communicators
ouc.brown.edu
Generative AI as a Research Tool
ithelp.brown.edu
Google Gemini Chat and NotebookLM AI Services
ithelp.brown.edu
Intentional Pedagogy with AI Technology
sheridan.brown.edu
Potential impact of AI on our academic mission
provost.brown.edu
Protecting Information When Using AI Tools
ithelp.brown.edu
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.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.