Policy presence
Yeshiva University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
New York City, United States
Yeshiva University
Yeshiva University has 8 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 8 reviewed claims. Last checked May 17, 2026.
Yeshiva University AI policy short answer
v1 public contract
Yeshiva University has 8 source-backed AI policy claims from 3 official source attributions, including 8 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 17, 2026. Discovery context: Yeshiva University is listed as QS 2026 rank =624.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Yeshiva University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/yeshiva-university.json. The entity-level confidence is 95%. 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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Research claims.
- Evidence includes Procurement claims.
- Evidence includes Teaching claims.
- Evidence includes Security review claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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
Yeshiva University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Yeshiva University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Yeshiva University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Yeshiva University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Yeshiva University has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Yeshiva University has 3 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Yeshiva University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Yeshiva University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Yeshiva University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
Security and procurement
Yeshiva University has 2 source-backed public claims for security and procurement; deterministic analysis status: required.
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
8 reviewed evidence-backed public claim
Privacy
Yeshiva University's faculty and staff AI acceptable use policy says faculty and staff must not input Internal or Restricted Information, or information identifiable to a person, third party, or the University, into Generative AI tools except when expressly permitted by ITS after contract and security-control review.
Review: Agent reviewed
Normalized value: faculty_staff_no_internal_restricted_or_personal_information_without_its_permission
Original evidence
Evidence 1Do not input Internal or Restricted Information: YU faculty and staff must not input any information classified as Internal or Restricted into Generative AI tools, except when expressly permitted by ITS after confirming appropriate contract language and security controls. ... Do not input Personal Information: YU faculty and staff must not input any information that is identifiable to a person, third party, or the University into a Generative AI tool except when expressly permitted by ITS after confirming appropriate contract language and security controls.
Academic Integrity
Yeshiva University's undergraduate academic integrity policy treats unsanctioned use of Generative AI or Assistive AI as a potential academic integrity violation and tells students to assume generative-capable platforms are prohibited unless allowed for the course.
Review: Agent reviewed
Normalized value: unsanctioned_ai_potential_violation_generative_default_prohibited_unless_allowed
Original evidence
Evidence 1Unsanctioned use of Generative AI or Assistive AI constitutes a potential academic integrity violation. ... Students should assume that the use of any platform with generative capabilities is prohibited in their course, even if the platform is used for a non-generative purpose.
Ai Tool Treatment
Yeshiva University's undergraduate policy permits faculty to allow Generative AI in courses or assessments if they specify in writing how it may be used; content produced using Generative AI must be cited according to the relevant subject conventions.
Review: Agent reviewed
Normalized value: faculty_may_allow_genai_with_written_scope_and_citation_required
Original evidence
Evidence 1Faculty members may choose to allow the use of Generative AI in their courses or on particular assessments as they see fit. Those who allow the use of Generative AI should specify, in writing, how it may be used in the course and on specific assessments. ... Content produced using Generative AI must be cited according to the conventions in the relevant subject area.
Research
Yeshiva University's faculty and staff AI acceptable use policy says individuals using Generative AI in research must be transparent about its use and researchers must avoid uploading unpublished research data or Internal or Restricted Information into Generative AI tools.
Review: Agent reviewed
Normalized value: research_genai_transparency_and_no_unpublished_or_restricted_inputs
Original evidence
Evidence 1As with other tools and research methods, individuals who use Generative AI in research must be transparent regarding its use, in describing methods, acknowledgements, or elsewhere, as appropriate. ... Researchers must avoid uploading, or using as input, any unpublished research data or other Internal or Restricted Information into a Generative AI tool.
Procurement
Yeshiva University's faculty and staff AI acceptable use policy instructs faculty and staff to contact ITS before purchasing or acquiring AI products, including free tools, especially when University resources or University data are involved.
Review: Agent reviewed
Normalized value: contact_its_before_ai_tool_purchase_or_acquisition
Original evidence
Evidence 1Procuring AI Tools/Software (including free tools): Contact Yeshiva University Information Technology Services (ITS) before purchasing (or acquiring for free) AI products or products that contain functions that rely on AI to operate - especially when using University resources or University data.
Teaching
Yeshiva University's Academic Integrity Resources page gives faculty recommended syllabus language templates for assistive-only AI use, selected Generative AI use, all AI allowed, and no AI allowed.
Review: Agent reviewed
Normalized value: faculty_syllabus_templates_multiple_ai_permission_modes
Original evidence
Evidence 1Below are some recommended templates for syllabus language. ... AI Use Policy (Assistive Only). ... AI Use Policy (Select Generative and All Assistive). ... AI Use Policy (All Allowed). ... AI Use Policy (None Allowed).
Teaching
Yeshiva University's Academic Integrity Resources page says written assessments must be completed from start to finish in Google Docs, with no written work done outside Google Docs, and students must keep related files for the course duration.
Review: Agent reviewed
Normalized value: written_assessments_google_docs_required_keep_files
Original evidence
Evidence 1Written Assessments: All written assessments must be completed from start to finish in google docs. No written work should be done outside of google docs. ... Students must keep all files, including the original google docs, related to their work for the duration of the course.
Security Review
Yeshiva University's faculty and staff AI acceptable use policy says all users of AI are required to complete a training program on ethical use of AI covering responsible use, ethical considerations, privacy, data protection, and policy compliance.
Review: Agent reviewed
Normalized value: ai_users_required_training_responsible_use_privacy_data_protection_compliance
Original evidence
Evidence 1YU is committed to promoting the use of AI in ethical ways through training and awareness programs. All users of AI are required to complete a training program on the ethical use of AI. This training program will cover topics such as: The responsible use of AI; Ethical considerations; Privacy; Data protection; Compliance with this policy.
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
3 source attribution
Academic Integrity | Yeshiva University
yu.edu
Academic Integrity Resources | Yeshiva University
yu.edu
Artificial Intelligence Acceptable Use Policy for Faculty and Staff
yu.edu
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.
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.