Policy presence
Rutgers University–Newark has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Newark, United States
Rutgers University–Newark has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Rutgers University–Newark has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Rutgers University–Newark has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Rutgers University–Newark has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Rutgers University–Newark has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Rutgers University–Newark has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Rutgers University–Newark has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Rutgers University–Newark has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Rutgers University–Newark has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Rutgers University–Newark has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Rutgers University–Newark has 2 source-backed public claims for security and procurement; deterministic analysis status: restricted.
9 reviewed evidence-backed public claim
Academic Integrity
Normalized value: academic_integrity_requires_no_impermissible_technologies
Original evidence
Evidence 1This 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
Normalized value: only_rutgers_approved_ai_tools_should_be_used
Original evidence
Evidence 1The 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
Normalized value: ai_coursework_use_depends_on_instructor_rules
Original evidence
Evidence 1Though 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
Normalized value: ai_purchases_require_security_risk_assessment_and_accessibility_processes
Original evidence
Evidence 1If 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
Normalized value: ai_human_subjects_research_consent_forms_explain_use_data_risks
Original evidence
Evidence 1When 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
Normalized value: rutgers_ai_tools_copilot_notebooklm_gemini_chatgpt_edu_google_ai_pro
Original evidence
Evidence 1AI tools (no additional cost): Microsoft Copilot Chat; NotebookLM; Google Gemini. AI tools (subscription required): Microsoft 365 Copilot (apps); ChatGPT Edu; Google AI Pro.
Privacy
Normalized value: confidential_phi_proprietary_data_may_not_be_appropriate_for_ai
Original evidence
Evidence 1Confidential 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
Normalized value: clear_course_genai_policies_disclosure_reflection_prompts_outputs
Original evidence
Evidence 1Have 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
Normalized value: genai_detectors_caution_not_recommended_for_ai_violations
Original evidence
Evidence 1The 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.
0 machine or needs-review claim
5 source attribution
policies.rutgers.edu
it.rutgers.edu
it.rutgers.edu
research.rutgers.edu
teaching.rutgers.edu