Stevens Institute of Technology AI Policy

New JerseyPrivateLast Updated: February 2026

ResearchInstitutional & Administrative
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Policy Coverage
42%5 of 12
Not Defined
Coursework
This university has not published a formal policy specifically addressing AI use in coursework.
Not Defined
Disclosure
No specific AI disclosure or attribution requirements have been published.
Not Defined
Detection
No specific AI detection or enforcement tools have been described in university publications.
Active
Governance
The university has established AI governance at the institutional level.
POLICY OVERVIEW

AI Policy Summary

Stevens Institute of Technology has defined AI policies across 5 of 12 policy categories, covering Research, Institutional & Administrative. The university has not established a formal policy on AI use in coursework and assignments. There are no specific AI disclosure requirements currently defined. Research-related AI policies address data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
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No policy defined yet
U2Examinations & Assessments
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No policy defined yet
U3Learning & Study Assistance
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No policy defined yet
U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
AI Analysis Restricted
  • Stevens provides data-protection guidance for using AI tools that explicitly includes examples for “Unpublished research data and other academic work” and “Sensitive research data and materials.” The guidance states that use of Stevens data is only permissible with licensed AI tools for non-public and sensitive data categories, and prohibited for restricted data categories

Depending on the AI use case, additional consultation may be required. Key considerations include data sensitivity, regulatory compliance, ethical implications, user consent, data privacy, and intellectual property rights.

Unpublished research data and other academic work that may be shared externally

Sensitive research data and materials

Use of Stevens data is only permissible with licensed AI tools, including Microsoft Copilot for Web with Data Protection and Zoom AI Companion, while logged in via a Stevens account.

Prohibited for AI Use

U7Research Ethics & Integrity
Ethics Addressed
  • Stevens’ Policy on Research Misconduct defines research misconduct as fabrication, falsification, or plagiarism in proposing, performing or reviewing research, or in reporting research results
  • The policy applies broadly to the Stevens community (including faculty, staff, postdoctoral students, and students) engaged in research or other scholarly work, but it does not explicitly mention AI

Policy Name: Policy on Research Misconduct

This Policy applies to the Stevens community including, without limitation, all faculty, staff, postdoctoral students, students, and any individual paid by, under the control of, or affiliated with Stevens, including, but not limited to trainees, fellows, contractors, visiting scholars and guest researchers engaged in the conduct of research or other scholarly work at Stevens.

For purposes of this Policy, research misconduct is defined as: fabrication, falsification, or plagiarism in proposing, performing or reviewing research, or in reporting research results.

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Academic Integrity

U8Disclosure & Attribution Requirements
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No policy defined yet
U9Detection & Enforcement
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No policy defined yet
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Institutional & Administrative

U10Faculty & Staff Use
Staff GuidelinesRestricted Use
  • It also states that certain use cases (including grading or assessment of student work) require additional review and consideration prior to use in AI
  • Stevens’ AI guidance requires human review of generative AI outputs and states that new AI uses in an employee’s work should receive prior approval from a supervisor and/or department chair

Always use human review on generative AI outputs

When using Artificial Intelligence (AI), ensure it aligns with Stevens' Information Security Policy, Privacy Policy, and any other relevant policies. Always consider the risks and ethical implications, and seek prior approval from your supervisor and/or department chair for new AI uses in your work.

Certain use cases, such as grading or assessment of student work, recruitment, personnel, or disciplinary decision-making, legal analysis or advice, security tools using facial recognition, and any non-public use of non-licensed AI tools with click-through agreements, requires additional review and consideration prior to use in AI.

U11Institutional Data Protection & Approved AI Platforms
Data Protection ActiveUnapproved AI Blocked
  • Stevens’ IT guidance says to align AI use with the Information Security Policy and Privacy Policy, and it cautions users not to use confidential or proprietary information
  • Stevens provides data-classification-based guidance stating that use of Stevens data is only permissible with licensed AI tools (specifically naming Microsoft Copilot for Web with Data Protection and Zoom AI Companion) for certain categories, and it identifies some third-party tools as discouraged/blocked for Zoom meetings; additionally, OneIT recommends Microsoft Copilot with Data Protection and Zoom AI Companion

When using Artificial Intelligence (AI), ensure it aligns with Stevens' Information Security Policy, Privacy Policy, and any other relevant policies.

Do not use confidential or proprietary information

Use of Stevens data is only permissible with licensed AI tools, including Microsoft Copilot for Web with Data Protection and Zoom AI Companion, while logged in via a Stevens account.

Effective May 1, 2025, the Division of IT disabled the ability for Fireflies.ai and Otter.ai to join Zoom meetings hosted by Stevens users.

It is strongly recommended that third-party AI bots not be used in Zoom meetings. Use Stevens-supported apps and tools such as Zoom AI Companion and Zoom Live Transcription for a more secure and reliable meeting experience.

The OneIT team currently recommends using Microsoft Copilot with Data Protection and Zoom AI Companion if you are looking for a generative AI solution.

Stevens students, faculty, and staff have access to the web browser version (only on Microsoft Edge and Google Chrome) of Microsoft Copilot.

In Copilot with Data Protection, both user and organizational chat data is not saved and will not be available to Microsoft or any other large language models to train their AI tools.

U12University AI Governance & Strategy
Governance Addressed
  • Stevens also indicates that AI uses should align with institutional policies and that some use cases may require additional consultation with specific offices
  • Stevens states that its Division of Information Technology is focused on three pillars of AI (Research, Teaching & Learning, and Administrative & Operations) with Governance & Literacy overarching them all

The Division of Information Technology is focused on three pillars of AI – Research, Teaching & Learning, and Administrative & Operations – with Governance & Literacy overarching them all.

Depending on the AI use case, additional consultation may be required. Key considerations include data sensitivity, regulatory compliance, ethical implications, user consent, data privacy, and intellectual property rights. These may necessitate consultation with the Office of Sponsored Projects, Office of the General Counsel, Division of Human Resources, Division of Information Technology, and/or the Office of Compliance.

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Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai