Riyadh, Saudi Arabia

King Saud University

King Saud University is listed as QS 2026 rank 143. King Saud University has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

King Saud University is listed as QS 2026 rank 143. King Saud University has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

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 14, 2026 and last changed on May 14, 2026. The record contains 5 source-backed claims, including 5 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.

Claim coverage5 reviewedSource languagear, enPublic JSON/api/public/v1/universities/king-saud-university.json

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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official 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 confidence77%

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.

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

5 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 reviewedConfidence92%

Normalized value: disclosure required; unauthorized assessment use treated as cheating

Original evidence

Evidence 1
ال 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.

Localized display 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 reviewedConfidence91%

Normalized value: no confidential KSU data in generative AI tools without authorization

Original evidence

Evidence 1
لا 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.

Localized display 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 reviewedConfidence90%

Normalized value: education-only scope for students and faculty

Original evidence

Evidence 1
هذه 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.

Localized display 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 reviewedConfidence90%

Normalized value: faculty must state course AI-use and disclosure policy

Original evidence

Evidence 1
يجب 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.

Localized display 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 reviewedConfidence88%

Normalized value: assessment policy supports GAI with disclosure/original-work and faculty control

Original evidence

Evidence 1
The 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.

Localized display 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.

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

الأدلة الإرشادية | مكتب الذكاء الاصطناعي

aio.ksu.edu.sa

Snapshot hash
de880f34e6f4c9d2512c173bf39507d08db1d180ac8851a632db139164f58604

دليل إرشادات استخدام الذكاء الاصطناعي التوليدي في التعليم للطلاب وأعضاء هيئة التدريس بجامعة الملك سعود

aio.ksu.edu.sa

Snapshot hash
db68fa5a95599a0e97dc579c77182013ed341283db1e19a604beedeafd9720fb

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 14, 2026Last changedMay 14, 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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