Policy presence
University at Buffalo SUNY has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Buffalo, United States
University at Buffalo SUNY
University at Buffalo SUNY is listed as QS 2026 rank =410. University at Buffalo SUNY has 6 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.
Short answer
v1 public contract
University at Buffalo SUNY is listed as QS 2026 rank =410. University at Buffalo SUNY has 6 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.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University at Buffalo SUNY as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/university-at-buffalo-suny.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 Security review claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: DeepSeek, Microsoft Copilot.
- 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
University at Buffalo SUNY has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University at Buffalo SUNY has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University at Buffalo SUNY has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
University at Buffalo SUNY has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University at Buffalo SUNY has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University at Buffalo SUNY has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University at Buffalo SUNY has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University at Buffalo SUNY has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University at Buffalo SUNY has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
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
6 reviewed evidence-backed public claim
Privacy
UBIT guidance says individuals should not enter Category 1 or Category 2 data, including non-public research data, into Gen AI tools that the university has not contracted with.
Review: Agent reviewed
Normalized value: no_category_1_or_2_data_in_noncontracted_genai_tools
Original evidence
Evidence 1When using Gen AI technology individuals should not enter Category 1 or Category 2 data, including non-public research data into Gen AI tools of which the university has not entered into a contract with.
Security Review
A UBIT advisory says UB aligns with SUNY and New York State restrictions on DeepSeek AI, prohibiting its download, access, or use on UB-owned devices or UB networks, and says all AI tools must be reviewed and approved by the UB Software Review team.
Review: Agent reviewed
Normalized value: deepseek_banned_ub_devices_networks_ai_tools_require_software_review
Original evidence
Evidence 1UB students, faculty and staff cannot download, access, or use DeepSeek AI on any UB-owned devices or when connected to UB networks. All AI tools, whether free or paid, must be reviewed and approved by the UB Software Review team.
Academic Integrity
UB's Office of Academic Integrity states that UB has no universal policy about student use of artificial intelligence and that instructors have academic freedom to decide which tools students may use for course learning objectives.
Review: Agent reviewed
Normalized value: no_universal_student_ai_policy_instructor_discretion
Original evidence
Evidence 1UB has no universal policy about student use of artificial intelligence. Instructors have the academic freedom to determine what tools students can and cannot use in pursuit of meeting course learning objectives.
Teaching
Because UB has no universal AI policy for student use, the Office of Academic Integrity says instructors need to tell students what AI use is and is not allowed in the course or on each assessment, including in the syllabus.
Review: Agent reviewed
Normalized value: instructors_should_provide_clear_course_ai_rules
Original evidence
Evidence 1Because there is no universal UB policy about artificial intelligence tools, instructors need to give students clear guidance about what is and is not allowed in their course overall and/or on each assessment.
Teaching
UB CATT encourages faculty to add generative-AI statements to syllabi, avoid vague language, state specific parameters or limits, and distinguish permitted non-generative tools from generative AI tools.
Review: Agent reviewed
Normalized value: catt_recommends_specific_syllabus_ai_statements
Original evidence
Evidence 1Faculty are encouraged to add a statement regarding the use of Generative AI tools, such as ChatGPT. When communicating expectations, faculty should avoid using any vague language, include specific parameters or limits, and engage in class discussion around which (if any) Generative AI tools students can use.
Ai Tool Treatment
UBIT's public AI page lists Microsoft Copilot Chat as UB-offered generative-AI software and lists Zoom AI Companion and Top Hat Ace as UB-offered software with AI-enhanced features.
Review: Agent reviewed
Normalized value: ub_offered_ai_tools_copilot_zoom_tophat
Original evidence
Evidence 1UB-offered software with Generative AI: Microsoft Copilot Chat. UB-offered software with AI-enhanced features: Zoom AI Companion; Top Hat.
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
5 source attribution
AI Guidance for Syllabi and Assignments
buffalo.edu
Artificial Intelligence Guidance - Office of Academic Integrity
buffalo.edu
DeepSeek AI SUNY & state ban: What it means for UB
buffalo.edu
Using AI at UB
buffalo.edu
Using Generative Artificial Intelligence (AI) Technology at the University at Buffalo
buffalo.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.