Policy presence
University of Massachusetts Amherst has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Amherst, United States
University of Massachusetts Amherst
University of Massachusetts Amherst is listed as QS 2026 rank =247. University of Massachusetts Amherst has 5 source-backed AI policy claim records from 4 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 of Massachusetts Amherst is listed as QS 2026 rank =247. University of Massachusetts Amherst has 5 source-backed AI policy claim records from 4 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 of Massachusetts Amherst as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 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-of-massachusetts-amherst.json. The entity-level confidence is 94%. 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 Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching 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.
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
University of Massachusetts Amherst has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Massachusetts Amherst has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Massachusetts Amherst has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Massachusetts Amherst has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
University of Massachusetts Amherst has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
University of Massachusetts Amherst has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Named AI services
University of Massachusetts Amherst has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Massachusetts Amherst has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
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.
Security and procurement
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.
Evidence-backed claims
5 reviewed evidence-backed public claim
Academic Integrity
UMass Amherst's Academic Integrity Policy includes attempted or intentional use of unauthorized materials, including generative AI tools, in its cheating definition unless the instructor explicitly permits the use.
Review: Agent reviewed
Normalized value: unauthorized_genai_included_in_cheating_definition
Original evidence
Evidence 1Cheating: Intentional or attempted use of trickery, artifice, deception, breach of confidence, fraud, or misrepresentation of one's academic work as well as intentional or attempted use of unauthorized materials, including generative AI tools, assistance, collaboration, information, or study aids in any academic exercise (unless explicitly permitted by instructor).
Ai Tool Treatment
UMass Amherst guidance says students cannot use generative AI to complete academic work without instructor permission, and should assume use is not allowed when explicit permission has not been given.
Review: Agent reviewed
Normalized value: instructor_permission_required_by_default
Original evidence
Evidence 1Students cannot use Generative AI (chatGPT, Copilot, Gemini, etc.) to complete any academic work without instructor permission.
Academic Integrity
UMass Amherst's Academic Integrity Policy includes knowingly representing the words, ideas, art, or creative works of generative AI tools as one's own work in its plagiarism definition.
Review: Agent reviewed
Normalized value: genai_output_included_in_plagiarism_definition
Original evidence
Evidence 1Plagiarism: Knowingly representing the words, ideas, art, and/or creative works of another, including generative AI tools, as one's own work in any academic exercise.
Privacy
UMass Amherst guidance warns users not to enter personal information, copyrighted material, or protected information about others into generative AI tools.
Review: Agent reviewed
Normalized value: do_not_enter_personal_or_protected_data_into_genai
Original evidence
Evidence 1Don’t enter personal information, copyrighted text, images, or video, and don’t enter protected information about others.
Teaching
UMass Amherst Provost guidance advises faculty to communicate their AI tool policy to students and, when AI tools are permitted, tell students how use should be documented or disclosed.
Review: Agent reviewed
Normalized value: faculty_should_communicate_ai_use_and_disclosure_policy
Original evidence
Evidence 1Communicate your policy on AI tool use to your students: Absent a statement in the syllabus, students are advised to check with their instructor about using generative AI tools in your class.
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
4 source attribution
Academic Integrity Policy : Faculty Senate : UMass Amherst
umass.edu
AI at UMass : AI at UMass : UMass Amherst
umass.edu
Guidance on Generative Artificial Intelligence : Undergraduate Student Success Center : UMass Amherst
umass.edu
Responsible Use of Generative AI : Office of the Provost : UMass Amherst
umass.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.