Policy presence
Stony Brook University, State University of New York has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Stony Brook, United States
Stony Brook University, State University of New York is listed as QS 2026 rank =452. Stony Brook University, State University of New York has 7 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Stony Brook University, State University of New York is listed as QS 2026 rank =452. Stony Brook University, State University of New York has 7 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Stony Brook University, State University of New York as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/stony-brook-university-state-university-of-new-york.json. The entity-level confidence is 96%. 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.
Stony Brook University, State University of New York has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Stony Brook University, State University of New York has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Stony Brook University, State University of New York has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Stony Brook University, State University of New York has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Stony Brook University, State University of New York has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Stony Brook University, State University of New York has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Stony Brook University, State University of New York has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Stony Brook University, State University of New York has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
7 reviewed evidence-backed public claim
Academic Integrity
Normalized value: ai_generated_work_as_own_work_academic_dishonesty
Original evidence
Evidence 1The following represents examples of academic dishonesty and does not constitute an exhaustive list: ... Representing work generated by artificial intelligence as one's own work.
Localized display only
The Academic Integrity Policy expressly lists representing AI-generated work as one's own as an example of academic dishonesty.
Ai Tool Treatment
Normalized value: course_or_assignment_specific_ai_use
Original evidence
Evidence 1Using generative AI in academic work is prohibited in some cases, allowable in others, and required in some instances. Read policies on academic integrity ... consult course policies, and when in doubt ask your instructor.
Localized display only
The FAQ frames coursework AI use as course- and assignment-dependent and advises students to consult policies or instructors.
Privacy
Normalized value: sensitive_personal_proprietary_information_requires_tool_protection_review
Original evidence
Evidence 1You should not enter sensitive, personal, or proprietary information into a generative AI tool without understanding the specific protections provided by that tool.
Localized display only
The FAQ warns against entering sensitive, personal, or proprietary information into AI tools without understanding the protections.
Source Status
Normalized value: no_central_ai_policy_under_review
Original evidence
Evidence 1Does Stony Brook have an AI policy? No. The University is reviewing existing policies to ensure they appropriately address the power and implications of generative AI.
Localized display only
The central FAQ says there is no AI policy yet and that policy owners are reviewing existing policies for generative AI implications.
Ai Tool Treatment
Normalized value: doit_ai_tools_directory_with_hipaa_limitation
Original evidence
Evidence 1A current directory of AI tools offered by DoIT ... HIPPA Data Considerations. The following tools may not be used with HIPAA data. Copilot ... Gemini ... NotebookLM ... Turnitin ... Zoom.
Localized display only
DoIT's AI Tools directory lists several tools and flags that the listed tools may not be used with HIPAA data.
Teaching
Normalized value: instructor_ai_syllabus_guidance
Original evidence
Evidence 1It is important to discuss your policies on AI usage in a clear and unambiguous manner. Including an AI statement in your course syllabus ... outline which assignments allow for the use of AI tools and which assignments do not permit the usage of AI tools.
Localized display only
CELT recommends clear syllabus and assignment-level AI expectations.
Teaching
Normalized value: review_ai_generated_content_for_accuracy
Original evidence
Evidence 1In many cases, AI tools can develop biased, illogical, or false information and even can generate sources that do not exist. It is important that anyone who makes use of AI tools to generate content reviews its output for accuracy.
Localized display only
CELT warns that AI can generate false or biased outputs and says users should review AI output for accuracy.
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.
5 source attribution
stonybrook.edu
it.stonybrook.edu
stonybrook.edu
stonybrook.edu
stonybrook.edu
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 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.