Policy presence
University of Sharjah has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Sharjah, United Arab Emirates
University of Sharjah is listed as QS 2026 rank =328. University of Sharjah has 6 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
University of Sharjah is listed as QS 2026 rank =328. University of Sharjah has 6 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists University of Sharjah as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-sharjah.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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Sharjah has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Sharjah has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of Sharjah has 3 source-backed public claims for coursework; deterministic analysis status: required.
University of Sharjah has 4 source-backed public claims for exams; deterministic analysis status: restricted.
University of Sharjah has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
University of Sharjah has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Sharjah has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
University of Sharjah has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
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.
University of Sharjah has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
6 reviewed evidence-backed public claim
Academic Integrity
Normalized value: mandatory_ai_disclosure_form
Original evidence
Evidence 1Disclosure of artificial intelligence use is mandatory for course works, thesis proposals and final thesis submissions. Disclosure shall be made through an official form entitled: “Declaration of Artificial Intelligence Use.” The disclosure must specify the tools used, the nature of use, and the scope and limitations of such use.
Other
Normalized value: graduate_ai_policy_scope
Original evidence
Evidence 1The provisions of this policy apply to: 1. Master’s and doctoral theses. 2. Thesis proposals and research plans. 3. Scientific publications stemming from scientific theses 4. Graduate-level courses and programs, including related assignments, coursework, and projects. 5. All academic texts submitted to the Graduate Studies Council, its committees, or thesis supervision and examination committees.
Academic Integrity
Normalized value: exams_quizzes_forbidden_extensive_assignment_use_dishonest
Original evidence
Evidence 1The use of AI based tools is strictly forbidden in exams and quizzes. Extensive utilization of AI language models such as ChatGPT or any other Generative AI tools to complete your assignment is considered academically dishonest, as it is equal to having someone write your paper, take your quiz, or finish your assignment.
Privacy
Normalized value: no_confidential_sensitive_data_public_ai_tools
Original evidence
Evidence 1Uploading confidential, unpublished, or sensitive data to publicly accessible artificial intelligence tools.
Academic Integrity
Normalized value: automated_detection_not_sole_basis
Original evidence
Evidence 1The University may employ multiple, complementary mechanisms, including: Human academic review and expert judgment. Plagiarism and AI-text detection tools, used solely as supportive instruments. Oral examination and requests for detailed scholarly clarification. No disciplinary decision shall be based solely on the output of automated detection tools.
Ai Tool Treatment
Normalized value: permitted_limited_support
Original evidence
Evidence 1The use of artificial intelligence is permitted strictly within the following limits: Grammar and language correction; Improvement of academic style; Rephrasing without altering the scholarly meaning; Suggesting general chapter structures; Organizing ideas authored by the student; Non-Generative Conceptual Support.
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.
1 source attribution
sharjah.ac.ae
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