Waltham, United States

Brandeis University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources3Source languageenPublic JSON/api/public/v1/universities/brandeis-university.json

Policy profile

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence80%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

Brandeis University has 1 source-backed public claim for exams; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence78%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

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 reviewedConfidence96%

Normalized value: regulated restricted confidential data requires authorization and safeguards

Original evidence

Evidence 1
All 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 reviewedConfidence96%

Normalized value: AI tool acquisition requires procurement policy and ATAC or ITAC approvals

Original evidence

Evidence 1
Departments 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 reviewedConfidence95%

Normalized value: university-wide AI acceptable use policy scope

Original evidence

Evidence 1
This 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 reviewedConfidence93%

Normalized value: Brandeis-provided GenAI tools offer data protection when used with Brandeis credentials

Original evidence

Evidence 1
Brandeis 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 reviewedConfidence92%

Normalized value: instructors should include generative AI syllabus policy

Original evidence

Evidence 1
Instructors 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

Official sources

3 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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