Hoboken, United States

Stevens Institute of Technology

Stevens Institute of Technology has 7 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 7 reviewed claims. Last checked May 18, 2026.

Stevens Institute of Technology AI policy short answer

v1 public contract

Stevens Institute of Technology has 7 source-backed AI policy claims from 5 official source attributions, including 7 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: Stevens Institute of Technology is listed as QS 2026 rank =673.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Stevens Institute of Technology as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/stevens-institute-of-technology.json. The entity-level confidence is 91%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage7 reviewedSource languageenPublic JSON/api/public/v1/universities/stevens-institute-of-technology.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Security review claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official sources5

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

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

Academic integrity

Stevens Institute of Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence73%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

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

7 reviewed evidence-backed public claim

Privacy

Stevens AI data-classification guidance treats public data as permissible for AI use, non-public Stevens data as permissible only with licensed AI tools while logged in with a Stevens account, and restricted data as prohibited for AI use.

Review: Agent reviewedConfidence91%

Normalized value: public_permissible_non_public_licensed_tools_only_restricted_prohibited

Original evidence

Evidence 1
PublicThis data is openly accessible and can be shared without restrictions. ... Permissible for AI Use ... Non-PublicThis data is not intended for public access but can be used internally within Stevens. ... Use of Stevens data is only permissible with licensedAI tools, including Microsoft Copilot for Web with Data Protection and Zoom AI Companion, while logged in via a Stevens account. ... RestrictedThis data is highly confidential and its use is strictly controlled. ... Prohibited for AI Use

Security Review

Stevens IT guidance says that, effective May 1, 2025, Fireflies.ai and Otter.ai were disabled from joining Zoom meetings hosted by Stevens users, and strongly recommends not using third-party AI bots in Zoom meetings.

Review: Agent reviewedConfidence91%

Normalized value: fireflies_otter_disabled_and_third_party_zoom_ai_bots_not_recommended

Original evidence

Evidence 1
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.

Security Review

Stevens guidance says new AI uses in work should align with Stevens security, privacy, and relevant policies, and should seek prior approval from a supervisor or department chair.

Review: Agent reviewedConfidence90%

Normalized value: new_ai_uses_seek_prior_supervisor_or_department_chair_approval

Original evidence

Evidence 1
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.

Security Review

Stevens guidance identifies certain AI use cases, including grading or assessment of student work, recruitment, personnel or disciplinary decision-making, legal analysis, facial recognition security tools, and non-public uses of non-licensed AI tools with click-through agreements, as requiring additional review and consideration before AI use.

Review: Agent reviewedConfidence90%

Normalized value: high_risk_ai_use_cases_require_additional_review

Original evidence

Evidence 1
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.

Ai Tool Treatment

Stevens OneIT recommends Microsoft Copilot with Data Protection and Zoom AI Companion for users seeking a generative AI solution, and lists both tools as available to students, faculty, and staff.

Review: Agent reviewedConfidence90%

Normalized value: oneit_recommends_copilot_data_protection_and_zoom_ai_companion

Original evidence

Evidence 1
Microsoft Copilot with Data Protection ... The web browser version ... is available for all students, faculty, and staff. ... Zoom AI Companion ... Availability Students, Faculty, Staff ... The OneIT team currently recommends using Microsoft Copilot with Data Protection and Zoom AI Companion if you are looking for a generative AI solution.

Teaching

Stevens teaching guidance tells instructors to establish a clear course policy on whether and how students may use AI tools, and to communicate expectations and guidelines in the syllabus when generative AI is permitted in certain areas.

Review: Agent reviewedConfidence86%

Normalized value: instructors_establish_course_ai_policy_and_syllabus_expectations

Original evidence

Evidence 1
Establish a clear course policy on whether and how students may use AI tools in your class. If generative AI is permitted in certain areas, clearly communicate your expectations and guidelines in the syllabus. ... Outline the types of activities where AI is allowed and recommend appropriate tools.

Academic Integrity

Stevens teaching guidance cautions that AI detection tools are not 100 percent accurate and says instructors should not use AI detection tools as a definitive way to gauge misconduct.

Review: Agent reviewedConfidence86%

Normalized value: ai_detection_tools_not_definitive_for_misconduct

Original evidence

Evidence 1
While this feature can help identify potential AI-generated content, it is important to understand its limitations. There are issues with false positives and bias with these tools. No AI detection tool is 100% accurate. Instructors should not use AI detection tools as a definitive way to gauge misconduct.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

5 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

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

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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