Policy presence
King Saud University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Riyadh, Saudi Arabia
King Saud University
King Saud University has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 25, 2026.
King Saud University AI policy short answer
v1 public contract
King Saud 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 25, 2026. Discovery context: King Saud University is listed as QS 2026 rank 143.
Citation-ready summary
As of this public record, University AI Policy Tracker lists King Saud University as an agent-reviewed AI policy record last checked on May 25, 2026 and last changed on May 26, 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/king-saud-university.json. The entity-level confidence is 92%. 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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment 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.
- Teaching, assessment, coursework, or syllabus-related 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
King Saud University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
King Saud University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
King Saud University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
King Saud University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
King Saud University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
King Saud University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Named AI services
King Saud University has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
King Saud University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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
6 reviewed evidence-backed public claim
Academic Integrity
Students may not submit content generated with generative AI as their own without disclosure, and using AI in exams, assignments, or academic assessments is treated as cheating unless the course instructor permits it.
Review: Agent reviewed
Normalized value: disclosure required; unauthorized assessment use treated as cheating
Evidence originale
Evidence 1ال يجوز للطالب تقديم المحتوى الذي تم انتاجه باستخدام أدوات الذكاء الاصطناعي التوليدي باعتباره من إنتاجه الشخصي دون الإفصاح عن ذلك... ال يجوز للطالب استخدام أدوات الذكاء الاصطناعي في أداء الاختبارات أو الواجبات أو أي تقييمات أكاديمية ويعد ذلك غشا ما لم يصرح أستاذ المقرر بجواز استخدامها.
Affichage localise only
Students may not present generative-AI-produced content as their own without disclosure, and may not use AI for exams, assignments, or assessments unless the instructor permits it.
Privacy
Students may not use generative AI tools to process confidential King Saud University information, such as student records or internal policies, without official university authorization.
Review: Agent reviewed
Normalized value: no confidential KSU data in generative AI tools without authorization
Evidence originale
Evidence 1لا يجوز للطالب استخدام أدوات الذكاء الاصطناعي التوليدي لمعالجة معلومات سرية خاصة بجامعة الملك سعود، مثل سجلات الطلاب أو السياسات الداخلية إلا بتصريح رسمي من الجامعة.
Affichage localise only
Students may not use generative AI tools to process confidential King Saud University information, such as student records or internal policies, except with official university authorization.
Source Status
King Saud University's AI Office guideline is scoped to generative AI use in teaching and learning by students and faculty, not to all university personnel or general technical AI uses.
Review: Agent reviewed
Normalized value: education-only scope for students and faculty
Evidence originale
Evidence 1هذه الوثيقة تحدد المبادئ والإرشادات العامة لاستخدام أدوات الذكاء الاصطناعي التوليدي في سياق التعليم والتعلم بجامعة الملك سعود، وهي موجهة لأعضاء هيئة التدريس والطلاب فيما يتعلق باستخدامهم لهذه الأدوات في التعليم والتعلم فقط.
Affichage localise only
The document says its principles and guidelines cover generative AI use in teaching and learning at King Saud University and are directed to faculty and students for teaching and learning only.
Teaching
Faculty members must state the course AI-use policy in the course description, including whether AI use is allowed for assignments, projects, and activities and how use should be disclosed.
Review: Agent reviewed
Normalized value: faculty must state course AI-use and disclosure policy
Evidence originale
Evidence 1يجب على عضو هيئة التدريس توضيح سياسة استخدام الذكاء الاصطناعي في توصيف المقرر وما إذا كان مسموح باستخدامه في الواجبات والمشاريع والأنشطة وآلية الإفصاح عن الاستخدام.
Affichage localise only
Faculty must explain the AI-use policy in the course description, including whether use is allowed in assignments, projects, and activities and the disclosure mechanism.
Ai Tool Treatment
King Saud University's 2025 Student Learning Assessment Policy supports use of generative AI tools in service of the educational process while emphasizing original submitted work, disclosure of AI use, and faculty authority to permit or prohibit generative AI use by assignment.
Review: Agent reviewed
Normalized value: assessment policy supports GAI with disclosure/original-work and faculty control
Evidence originale
Evidence 1The university supports the use of these tools, emphasizing: Submitted assignments and tasks must contain the student's original work. The student must disclose the use of generative AI (where and how it was used). Faculty members... have the right to determine which assignments a student is permitted and prohibited from using generative AI tools based on the course objectives.
Affichage localise only
The assessment policy supports generative AI tools while emphasizing original work, disclosure of AI use, and faculty authority to permit or prohibit use by assignment.
Teaching
King Saud University's assessment policy says the university supports using generative AI tools in education while emphasizing knowledge, skills, and awareness needed to regulate use and understand AI-generated information or data.
Review: Agent reviewed
Normalized value: KSU assessment policy supports educational GenAI use while emphasizing knowledge, skills, and awareness for regulated use.
Evidence originale
Evidence 1The university supports the use of these tools, emphasizing: The importance of learning certain knowledge, skills, and understanding that help regulate the use of generative AI in certain situations, and understanding the information or data generated by generative AI.
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
Student Learning Assessment Policy at King Saud University 2025/1447AH
celt.ksu.edu.sa
الأدلة الإرشادية | مكتب الذكاء الاصطناعي
aio.ksu.edu.sa
دليل إرشادات استخدام الذكاء الاصطناعي التوليدي في التعليم للطلاب وأعضاء هيئة التدريس بجامعة الملك سعود
aio.ksu.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.