Policy presence
Yeshiva University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
New York City, United States
Yeshiva University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Yeshiva University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Yeshiva University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Yeshiva University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Yeshiva University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Yeshiva University has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Yeshiva University has 3 source-backed public claims for approved tools; deterministic analysis status: required.
Yeshiva University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Yeshiva University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Yeshiva University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
Yeshiva University has 2 source-backed public claims for security and procurement; deterministic analysis status: required.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
8 reviewed evidence-backed public claim
Privacy
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
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
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
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
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
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
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
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.
0 machine or needs-review claim
3 source attribution
yu.edu
yu.edu
yu.edu