Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Makkah, Saudi Arabia
Umm Al-Qura University
Umm Al-Qura University has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 17, 2026.
Umm Al-Qura University AI policy short answer
v1 public contract
Umm Al-Qura University has 3 source-backed AI policy claims from 2 official source attributions, including 3 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: Umm Al-Qura University is listed as QS 2026 rank =622.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Umm Al-Qura University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/umm-al-qura-university.json. The entity-level confidence is 88%. 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 AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Named AI services detected in public claims: ChatGPT, Claude.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- 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.
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
Umm Al-Qura University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Umm Al-Qura University has 2 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Umm Al-Qura University has 2 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
Umm Al-Qura University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Umm Al-Qura University has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Umm Al-Qura University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Named AI services
Umm Al-Qura University has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
Umm Al-Qura University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
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
3 reviewed evidence-backed public claim
Ai Tool Treatment
Umm Al-Qura University journals state that AI tools, including ChatGPT, GPT-4, Google Bard, Claude, and other large language models, cannot be listed as authors in submissions; human authors must disclose any AI use in creating article content.
Review: Agent reviewed
Normalized value: journal_ai_no_authorship_disclosure_required
Original evidence
Evidence 1لا يمكن تسجيل أدوات الذكاء الاصطناعي (بما في ذلك Chat GPT, GPT-4, Google Bard, Claude ونماذج اللغات الكبيرة الأخرى) كمؤلفين في أي تقديم إلى مجلات جامعة أم القرى. ... يجب تسجيل المؤلفين البشريين فقط الذين يستوفون معايير التأليف، ويجب الإفصاح عن أي استخدام للذكاء الاصطناعي في صناعة محتوى الورقة العلمية.
Localized display only
Umm Al-Qura University journals state that AI tools cannot be listed as authors, and that human authors must disclose AI use in creating article content.
Privacy
For Umm Al-Qura University journals, reviewers are told not to use AI tools to generate, summarize, or draft confidential peer-review reports, and to avoid uploading confidential research content to third-party AI tools.
Review: Agent reviewed
Normalized value: journal_reviewers_no_ai_for_confidential_peer_review
Original evidence
Evidence 1يجب على المحكمين عدم استخدام أدوات الذكاء الاصطناعي لإنشاء، أو تلخيص، أو صياغة مسودات المراجعة التحكيمية السرية. ... يجب على المحكمين تجنب: إرفاق محتوى البحوث السرية في أدوات الذكاء الاصطناعي ذات الطرف الثالث.
Localized display only
The journal policy says reviewers should not use AI tools to create, summarize, or draft confidential peer-review reports and should avoid uploading confidential research content to third-party AI tools.
Academic Integrity
Umm Al-Qura University's IT and E-Learning Deanship defines academic integrity in digital education and identifies cheating, plagiarism, improper collaboration, impersonation, assistance, and falsification as forms of academic dishonesty; it says students are expected to recognize plagiarism and ensure submitted assessments are their own work.
Review: Agent reviewed
Normalized value: digital_education_academic_integrity
Original evidence
Evidence 1هناك عدة أنواع من الأفعال التي تعتبر مسيئة لمعايير الصدق الأكاديمي؛ من بينها الغش، والانتحال، والتعاون غير اللائق، وانتحال الهوية، والمساعدة، والتزييف والتزوير. ... من المتوقع أن يتعرف الطلاب على الانتحال وطرق تجنبه، لذلك يجب على الطالب التأكد من أن جميع التقييمات المقدمة من قبله هي من مجهوده الخاص.
Localized display only
The page lists cheating, plagiarism, improper collaboration, impersonation, assistance, falsification, and forgery as academic dishonesty, and says students should ensure submitted assessments are their own work.
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
2 source attribution
سياسات النزاهة الأكاديمية في التعليم الرقمي - عمادة تقنية المعلومات والتعليم الإلكتروني - وكالة الجامعة للشؤون الأكاديمية | جامعة أم القرى
uqu.edu.sa
سياسة الذكاء الاصطناعي - مجلة جامعة أم القرى للعلوم التربوية والنفسية - ادارة الجمعيات العلمية | جامعة أم القرى
uqu.edu.sa
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.