Al Khobar, Saudi Arabia

Prince Mohammad Bin Fahd university

Prince Mohammad Bin Fahd university is listed as QS 2026 rank =436. Prince Mohammad Bin Fahd 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

Prince Mohammad Bin Fahd university is listed as QS 2026 rank =436. Prince Mohammad Bin Fahd 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 Prince Mohammad Bin Fahd university as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 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/prince-mohammad-bin-fahd-university.json. The entity-level confidence is 90%. 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 languageenPublic JSON/api/public/v1/universities/prince-mohammad-bin-fahd-university.json

Policy signals in this record

  • Evidence includes Research claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes Source status 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 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 confidence72%

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.

Privacy and data entry

Prince Mohammad Bin Fahd university has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Approved tools

Prince Mohammad Bin Fahd university has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%Evidence1Sources1

Teaching guidance

Prince Mohammad Bin Fahd university has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence61%Evidence1Sources1

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

Research

PMU's CCES Journal publication policies permit authors to use AI tools for research assistance, data analysis, language editing, and formatting, while requiring transparent disclosure and keeping authors responsible for the work.

Review: Agent reviewedConfidence90%

Normalized value: journal_ai_disclosure_required

Original evidence

Evidence 1
Authors may use AI tools for: Research assistance; Data analysis; Language editing and formatting. However: The use of AI tools must be transparently disclosed in the manuscript. Authors remain fully responsible for the accuracy, originality, integrity, and ethical compliance of the work.

Localized display only

The CCES Journal AI policy allows AI tools for research assistance, data analysis, language editing, and formatting, but requires disclosure and author responsibility.

Ai Tool Treatment

PMU's CCES Journal publication policies state that AI systems or tools may not be listed as authors and that undisclosed or inappropriate AI use may lead to rejection or corrective action.

Review: Agent reviewedConfidence90%

Normalized value: journal_ai_no_authorship_corrective_action

Original evidence

Evidence 1
AI systems or tools may not be listed as authors. Undisclosed or inappropriate AI usage may result in rejection or corrective action.

Localized display only

The journal policy says AI tools cannot be authors and undisclosed or inappropriate AI use may lead to rejection or corrective action.

Academic Integrity

PMU's academic catalog expects students to maintain academic honesty and integrity and identifies cheating, plagiarism, collusion, and abuse of resource materials as forms of academic dishonesty.

Review: Agent reviewedConfidence88%

Normalized value: general_academic_integrity_no_ai_specificity

Original evidence

Evidence 1
The university may initiate disciplinary proceedings against a student accused of any form of academic dishonesty, including but not limited to cheating on an examination or other academic work, plagiarism, collusion, and/or the abuse of resource materials.

Localized display only

The academic catalog lists cheating, plagiarism, collusion, and abuse of resource materials as forms of academic dishonesty.

Privacy

PMU's IT policy states that IT resources are primarily for university work and that PMU may monitor IT resource use and disclose necessary information for law, regulation, or government requests.

Review: Agent reviewedConfidence86%

Normalized value: it_policy_monitoring_disclosure

Original evidence

Evidence 1
For the purpose of satisfying any law, regulation or government request, PMU reserves the right to monitor the use of IT resources and services and disclose any information necessary and appropriate.

Localized display only

PMU says it may monitor IT resource use and disclose necessary information for law, regulation, or government requests.

Source Status

Official PMU discovery for this crawl found policy-specific AI usage language only in the CCES Journal publication policies; no accessible central PMU-wide generative AI policy for students or faculty was located.

Review: Agent reviewedConfidence72%

Normalized value: no_central_public_genai_policy_found_journal_scoped_ai_policy_found

Original evidence

Evidence 1
Academics > Undergraduate Degree Programs > College of Computer Engineering and Science > CCES Journal > Publication Policies. Artificial Intelligence (AI) Usage Policy.

Localized display only

The AI usage policy found in accessible official PMU sources is located under the CCES Journal publication policies.

Original evidence

Evidence 2
It provides notice of the University's expectations and guidelines to all who use and manage IT resources and services (including but not limited to computing, networking, communications and telecommunications systems, infrastructure, hardware, software, data, databases, personnel, procedures, and physical facilities).

Localized display only

PMU's official IT policy is a general IT resources policy, not a generative-AI-specific policy.

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

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 16, 2026Last changedMay 16, 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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