Policy presence
Brandeis University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Waltham, United States
Brandeis University
Brandeis University has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.
Brandeis University AI policy short answer
v1 public contract
Brandeis University has 5 source-backed AI policy claims from 3 official source attributions, including 5 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 18, 2026. Discovery context: Brandeis University is listed as QS 2026 rank 741-750.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Brandeis University as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/brandeis-university.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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Procurement claims.
- Evidence includes Other policy claims.
- Evidence includes Security review claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Privacy, sensitive-data, or security 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
Brandeis University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Brandeis University has 1 source-backed public claim for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Brandeis University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
Brandeis University has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.
Named AI services
Brandeis University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Brandeis University 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
Brandeis University has 3 source-backed public claims for security and procurement; deterministic analysis status: blocked.
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
Privacy
Brandeis AI use guidance requires AI applications to comply with Brandeis data governance and cybersecurity policies, and says regulated, restricted, or confidential information in AI tools requires authorization and safeguards.
Review: Agent reviewed
Normalized value: regulated restricted confidential data requires authorization and safeguards
Original evidence
Evidence 1All AI applications must comply with Brandeis' data governance protocols and cybersecurity policies. Use of regulated, restricted, or confidential information in AI tools requires appropriate authorization and safeguards.
Procurement
Brandeis departments seeking to acquire AI tools must follow university procurement policies and obtain necessary approvals from ATAC or ITAC.
Review: Agent reviewed
Normalized value: AI tool acquisition requires procurement policy and ATAC or ITAC approvals
Original evidence
Evidence 1Departments seeking to acquire AI tools must follow the university's procurement policies and obtain necessary approvals from the Academic Technology Advisory Committee (ATAC) or the Information Technology Advisory Committee (ITAC).
Other
Brandeis has an AI Acceptable Use Policy that applies to students, faculty, staff, and affiliates across academic and administrative activities involving AI technologies.
Review: Agent reviewed
Normalized value: university-wide AI acceptable use policy scope
Original evidence
Evidence 1This policy applies to all members of the Brandeis community, including students, faculty, staff, and affiliates, across all academic and administrative activities involving AI technologies.
Security Review
Brandeis provides GenAI tools with data protection to students, faculty, and staff, and distinguishes those tools from other tools that may not offer the same protection.
Review: Agent reviewed
Normalized value: Brandeis-provided GenAI tools offer data protection when used with Brandeis credentials
Original evidence
Evidence 1Brandeis provides Gen AI tools with data protection to students, faculty, and staff. When you use these tools with your Brandeis credentials, your information remains confidential, and your chat prompts are not used to train the underlying large language models.
Teaching
Brandeis guidance says instructors should include a course policy in syllabi regarding use and misuse of generative AI, with course-specific expectations discussed in class.
Review: Agent reviewed
Normalized value: instructors should include generative AI syllabus policy
Original evidence
Evidence 1Instructors are encouraged by the University to include a policy in all their syllabi regarding the use (and misuse) of generative AI in their courses.
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
3 source attribution
AI Tools at Brandeis
brandeis.edu
Brandeis University Artificial Intelligence (AI) Acceptable Use Policy
brandeis.edu
Possible AI Syllabus Statements
brandeis.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.