Newark, United States

Rutgers University–Newark

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage9 reviewedEvidence-backed claims9Reviewed9Candidate0Official sources5Source languageenPublic JSON/api/public/v1/universities/rutgers-university-newark.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

AI tools

Derived tool records6

ChatGPT Edu

Rutgers University–Newark

Tool
ChatGPT Edu
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Google AI Pro

Rutgers University–Newark

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

Google Gemini

Rutgers University–Newark

Tool
Google Gemini
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Microsoft 365 Copilot

Rutgers University–Newark

Tool
Microsoft 365 Copilot
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Microsoft Copilot Chat

Rutgers University–Newark

Tool
Microsoft Copilot Chat
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

NotebookLM

Rutgers University–Newark

Tool
NotebookLM
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Evidence-backed claims

9 reviewed evidence-backed public claim

Academic Integrity

Rutgers Academic Integrity Policy 10.2.13 applies to all schools and academic units and says students must ensure submitted course, research, or other academic work is their own and created without impermissible technologies, materials, or collaborations.

Review: Agent reviewedConfidence96%

Normalized value: academic_integrity_requires_no_impermissible_technologies

Original evidence

Evidence 1
This Academic Integrity Policy applies to all schools and academic units of Rutgers, The State University of New Jersey. The principles of academic integrity require that a student make sure that all work submitted in a course, academic research, or other activity is the student's own and created without the aid of impermissible technologies, materials, or collaborations.

Ai Tool Treatment

Rutgers OIT guidance says only Rutgers-approved AI tools should be used at the university to protect university data and ensure appropriate use; Rutgers-approved versions include security and privacy safeguards and do not use Rutgers data to train underlying models.

Review: Agent reviewedConfidence95%

Normalized value: only_rutgers_approved_ai_tools_should_be_used

Original evidence

Evidence 1
The tools licensed by Rutgers include security and privacy safeguards for appropriate use at the university. By using the Rutgers-approved versions of these tools, your data will not be used to train the models underlying the tools. To protect university data and ensure appropriate use, only Rutgers-approved AI tools should be used at the university.

Academic Integrity

Rutgers OIT guidance says AI use in academic settings typically varies by discipline, course, or instructor; students should not consider AI tools permissible for coursework unless instructors clearly state or communicate permission.

Review: Agent reviewedConfidence94%

Normalized value: ai_coursework_use_depends_on_instructor_rules

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.

Procurement

Rutgers OIT guidance says anyone considering purchase of an AI application for use at Rutgers must follow the same security processes and risk assessments as other software purchases, as well as Rutgers digital-accessibility standards.

Review: Agent reviewedConfidence94%

Normalized value: ai_purchases_require_security_risk_assessment_and_accessibility_processes

Original evidence

Evidence 1
If you are considering the purchase of an AI application for use at Rutgers, you must follow the same security processes and risk assessments as for other software purchases, as well as standards for digital accessibility.

Research

Rutgers HRPP guidance says researchers using AI in human-subject research must clearly explain in consent forms how AI will be used, what data it will access, and associated risks and limitations.

Review: Agent reviewedConfidence94%

Normalized value: ai_human_subjects_research_consent_forms_explain_use_data_risks

Original evidence

Evidence 1
When using AI in research, whether as a supporting investigative tool or a technology with which human subjects directly interact, researchers must clearly explain in consent forms how AI will be used, what kinds of data it will access, and explicitly outline any associated risks and limitations.

Ai Tool Treatment

Rutgers IT's central AI page lists Microsoft Copilot Chat, NotebookLM, and Google Gemini as centrally funded AI tools available to Rutgers students, faculty, and staff at no additional cost, while Microsoft 365 Copilot, ChatGPT Edu, and Google AI Pro are listed as subscription-required tools.

Review: Agent reviewedConfidence91%

Normalized value: rutgers_ai_tools_copilot_notebooklm_gemini_chatgpt_edu_google_ai_pro

Original evidence

Evidence 1
AI tools (no additional cost): Microsoft Copilot Chat; NotebookLM; Google Gemini. AI tools (subscription required): Microsoft 365 Copilot (apps); ChatGPT Edu; Google AI Pro.

Privacy

Rutgers OIT guidance says confidential information, protected health information, and other proprietary Rutgers information may not be appropriate for use in AI applications and systems, and directs users to Rutgers data-classification and IT policies.

Review: Agent reviewedConfidence90%

Normalized value: confidential_phi_proprietary_data_may_not_be_appropriate_for_ai

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 chart for AI tools, as well as the Information Classification Policy 70.1.2 and other Information Technology policies.

Teaching

Rutgers teaching guidance recommends clear and transparent course policies around generative AI, class discussion of those policies and rationales, and, when GenAI is permissible, student disclosure and reflection on use plus submission of prompts and outputs.

Review: Agent reviewedConfidence89%

Normalized value: clear_course_genai_policies_disclosure_reflection_prompts_outputs

Original evidence

Evidence 1
Have clear and transparent policies around generative artificial intelligence and discuss them with each class as well as the rationales behind them. If utilizing GenAI is permissible in a course, in addition to having students disclose usage, have students reflect on how they used it and how it impacted their learning. In addition, have students turn in any prompts and outputs.

Teaching

Rutgers teaching guidance says GenAI detectors should be treated with caution and cites research indicating they cannot currently be recommended for determining academic-integrity violations because of accuracy limits and false-accusation risk.

Review: Agent reviewedConfidence86%

Normalized value: genai_detectors_caution_not_recommended_for_ai_violations

Original evidence

Evidence 1
The varying performances of GenAI tools and detectors indicate they cannot currently be recommended for determining academic integrity violations due to accuracy limitations and the potential for false accusation which undermines inclusive and fair assessment practices.

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

Artificial Intelligence at Rutgers

it.rutgers.edu

Snapshot hash
150ff188c140ae62c476995f402a10b4776710282d6f8357ee85d189e0e11c68

Change log

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

Corrections

Back to universities