Policy presence
American University of Sharjah has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sharjah, United Arab Emirates
American University of Sharjah
American University of Sharjah is listed as QS 2026 rank =272. American University of Sharjah has 6 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
American University of Sharjah is listed as QS 2026 rank =272. American University of Sharjah has 6 source-backed AI policy claim records from 2 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 American 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 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/american-university-of-sharjah.json. The entity-level confidence is 96%. 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 Teaching claims.
- Evidence includes AI tool treatment 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.
- 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
American University of Sharjah has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
American University of Sharjah has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
American University of Sharjah has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
American University of Sharjah has 5 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
American University of Sharjah has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
American University of Sharjah has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
American University of Sharjah has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
American University of Sharjah has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
AUS policy says students are forbidden from using generative AI tools to produce assessment work unless the course instructor explicitly permits that use.
Review: Agent reviewed
Normalized value: gai_assessment_use_requires_instructor_permission
Original evidence
Evidence 1Students are forbidden from using GAI tools to produce any work for assessment unless that use is explicitly permitted by the course instructor.
Teaching
AUS policy says instructors must specify permitted generative AI tools, rationale, allowed assignments or activities, and an academic integrity statement in the course syllabus when AI tools are used.
Review: Agent reviewed
Normalized value: instructors_must_state_ai_permissions_in_syllabus
Original evidence
Evidence 1Course instructors must: Include the following details in the course syllabus: Name(s) of the generative AI tool(s) that can be used; Brief rationale for using the tool(s); Instructions on which assignments and class activities the tool(s) can be used for.
Academic Integrity
AUS policy says students must acknowledge generative AI tool use in submitted course-credit material, including the tool name and version number.
Review: Agent reviewed
Normalized value: students_must_acknowledge_gai_tool_use
Original evidence
Evidence 1Students must: Acknowledge, in line with course policy, any usage of the tool(s) in all material submitted for course credit including the name and version number of the tool(s).
Ai Tool Treatment
AUS policy says students are responsible for the accuracy of AI-generated output in their work and must ensure use complies with syllabus, iLearn updates, academic integrity policy, and IT acceptable use policy.
Review: Agent reviewed
Normalized value: students_responsible_for_ai_accuracy_and_compliance
Original evidence
Evidence 1Students must: Take full responsibility for the accuracy of AI generated output in any work they produce. Ensure that any use of the tool(s) is compliant with the course syllabus, any updates posted on the course ilearn page, the most recent versions of the AUS academic integrity policy, and the AUS IT acceptable use policy.
Academic Integrity
AUS policy says the institution does not prohibit generative AI detection software in academic integrity adjudication but recognizes detection output cannot provide a definitive judgment.
Review: Agent reviewed
Normalized value: gai_detection_not_definitive_judgment
Original evidence
Evidence 1The institution does not prohibit the use of GAI detection software at any stage of the academic integrity adjudication process but does recognize that the output of such tools cannot provide a definitive judgement on whether an academic integrity violation has taken place.
Source Status
AUS policy applies to undergraduate and graduate teaching and learning environments and says faculty research use of generative AI tools is not covered by this policy.
Review: Agent reviewed
Normalized value: policy_scope_teaching_learning_not_faculty_research
Original evidence
Evidence 1All undergraduate and graduate teaching and learning environments at AUS. The use of GAI tools in faculty research is not covered under this 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
2 source attribution
0.f. Generative AI (GAI) Tools in Teaching and Learning Policy
aihub.aus.edu
AUS AI Policy
aihub.aus.edu
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.