New Brunswick, United States

Rutgers University–New Brunswick

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources1Source languageen-USPublic JSON/api/public/v1/universities/rutgers-university-new-brunswick.json

Policy profile

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy presence

Rutgers University–New Brunswick has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence77%Evidence1Sources1

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

Privacy and data entry

Rutgers University–New Brunswick has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence79%Evidence1Sources1

Academic integrity

Rutgers University–New Brunswick has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence81%Evidence1Sources1

Approved tools

Rutgers University–New Brunswick has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

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

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records1

AI tools

Rutgers University–New Brunswick

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Evidence-backed claims

4 reviewed evidence-backed public claim

Academic Integrity

Rutgers states that AI tools should not be considered permissible for coursework unless instructors clearly state or communicate that use is allowed.

Review: Agent reviewedConfidence95%

Original evidence

Evidence 1
Though AI tools are widely available to students, they should not be considered permissible for coursework unless clearly stated or communicated by instructors. Students are responsible for understanding and abiding by their program and instructors’ guidance or rules on the use of AI.

Ai Tool Treatment

Rutgers states that only Rutgers-approved AI tools should be used at the university to protect university data and ensure appropriate use.

Review: Agent reviewedConfidence94%

Original evidence

Evidence 1
To protect university data and ensure appropriate use, only Rutgers-approved AI tools should be used at the university. You can view a list of available tools provided by OIT .

Privacy

Rutgers states that confidential information, protected health information, and proprietary Rutgers information may not be appropriate for use in AI applications and systems.

Review: Agent reviewedConfidence93%

Original evidence

Evidence 1
Confidential information, Protected Health Information (PHI), and other proprietary Rutgers information may not be appropriate for use in AI applications and systems. For additional guidance, please consult this data classification tool.

Teaching

Rutgers says faculty should consider giving students guidance on AI use to support learning and coursework.

Review: Agent reviewedConfidence91%

Original evidence

Evidence 1
Faculty should consider providing guidance to students on the use of AI to support learning and coursework, and students are encouraged to review course materials and speak with their instructors to understand any specific expectations related to AI.

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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