Irbid, Jordan

Yarmouk University

Yarmouk University has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 21, 2026.

Yarmouk University AI policy short answer

v1 public contract

Yarmouk University has 6 source-backed AI policy claims from 3 official source attributions, including 6 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 21, 2026. Discovery context: Yarmouk University is listed as QS 2026 rank 851-900.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Yarmouk University as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 2026. The record contains 6 source-backed claims, including 6 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/yarmouk-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.

Claim coverage6 reviewedSource languagearPublic JSON/api/public/v1/universities/yarmouk-university.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3

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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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.

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

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

6 reviewed evidence-backed public claim

Ai Tool Treatment

Yarmouk University's Board of Deans approved policies for using generative AI applications in academic and scientific research work.

Review: Agent reviewedConfidence95%

Normalized value: board_approved_generative_ai_policy

Original evidence

Evidence 1
قرر مجلس العمداء في جامعة اليرموك، برئاسة رئيس الجامعة- رئيس المجلس الدكتور إسلام مسّاد، الموافقة على اعتماد سياسات استخدام تطبيقات الذكاء الاصطناعي التوليدي في العمل الأكاديمي والبحث العلمي في الجامعة

Localized display only

The Board of Deans approved policies for using generative AI applications in academic and scientific research work at Yarmouk University.

Academic Integrity

Yarmouk's generative AI policy applies to all undergraduate and graduate students, faculty members, and people involved in preparing, evaluating, or supervising academic and research work.

Review: Agent reviewedConfidence94%

Normalized value: applies_to_students_faculty_research_academic_work

Original evidence

Evidence 1
تسري هذه السياسة على جميع طلبة البكالوريوس والدراسات العليا وأعضاء هيئة التدريس والأفراد المشاركين في العداد والتقييم والشراف على الأعمال البحثية والأكاديمية

Localized display only

The policy applies to undergraduate and graduate students, faculty, and people involved in preparing, evaluating, and supervising research and academic work.

Ai Tool Treatment

Yarmouk allows generative AI tools in academic or scientific research work across stages such as research, design, planning, drafting, analysis, writing, audiovisual content production, or editing, provided the use is announced, pre-approved, and transparent.

Review: Agent reviewedConfidence94%

Normalized value: allowed_with_announcement_prior_approval_transparency

Original evidence

Evidence 1
يسمح باستخدام أدوات وتطبيقات الذكاء الاصطناعي التوليدي في العمل الأكاديمي أو البحث العلمي عبر مراحله المختلفة ... شريطة العلان عنه وبموافقة مسبقة وشفافية تامة

Localized display only

Generative AI tools may be used in academic or scientific research work at different stages, provided the use is announced, pre-approved, and transparent.

Academic Integrity

Yarmouk requires faculty members, researchers, and students to disclose their use of generative AI tools and applications in academic and research work clearly and transparently.

Review: Agent reviewedConfidence94%

Normalized value: disclosure_required_for_generative_ai_use

Original evidence

Evidence 1
يجب على جميع أعضاء هيئة التدريس والباحثين والطلبة الفصاح عن استخدامهم لأدوات وتطبيقات الذكاء الاصطناعي التوليدي في جميع أعمالهم الأكاديمية والبحثي بمنتهى الوضوح والشفافية

Localized display only

Faculty, researchers, and students must disclose use of generative AI tools and applications in academic and research work clearly and transparently.

Academic Integrity

Yarmouk's announced policy says the permitted percentage of disclosed generative AI-generated content is based on the university's academic integrity standards and does not exceed 30%, with adaptation possible for departments, faculties, and centers.

Review: Agent reviewedConfidence93%

Normalized value: disclosed_ai_generated_content_not_over_30_percent

Original evidence

Evidence 1
النسبة المسموح بها للمحتوى المُولَّد من الذكاء الاصطناعي، والتي تعتمد على معايير النزاهة الأكاديمية المعمول بها في الجامعة والتي لا تزيد عن 30%، وفقا للبرمجية المعتمدة فيها

Localized display only

The permitted percentage of AI-generated content depends on university academic integrity standards and does not exceed 30%, according to the approved software.

Privacy

Yarmouk's policy says researchers must obtain approval from the university human research ethics board or animal research ethics committee when using generative AI applications in research involving generated data about human or animal subjects.

Review: Agent reviewedConfidence91%

Normalized value: ethics_approval_required_for_human_or_animal_data_ai_research

Original evidence

Evidence 1
يجب الحصول على موافقة مجلس أخلاقيات البحث العلمي على الانسان، أو لجنة أخلاقيات البحث العلمي على الحيوان في الجامعة عند استخدام تطبيقات الذكاء الاصطناعي التوليدي في الأبحاث، التي تشمل توليد بيانات للموضوعات المتعلقة بالنسان أو الحيوان

Localized display only

Approval from the university human or animal research ethics body is required when generative AI research involves generated data about human or animal subjects.

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

"اليرموك" تقر سياسات استخدام تطبيقات الذكاء الاصطناعي التوليدي في العمل الأكاديمي والبحثي

yu.edu.jo

Snapshot hash
dca6e1e645e864aaca0ffd810520905fcb62559266a5f7406d030df16cd2d74d

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 21, 2026Last changedMay 21, 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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