Policy presence
Alexandria University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Alexandria, Egypt
Alexandria University
Alexandria University has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 19, 2026.
Alexandria University AI policy short answer
v1 public contract
Alexandria University has 4 source-backed AI policy claims from 3 official source attributions, including 4 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 19, 2026. Discovery context: Alexandria University is listed as QS 2026 rank 781-790.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Alexandria University as an agent-reviewed AI policy record last checked on May 19, 2026 and last changed on May 19, 2026. The record contains 4 source-backed claims, including 4 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/alexandria-university.json. The entity-level confidence is 87%. 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 AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Research claims.
- Named AI services detected in public claims: ChatGPT.
- Privacy, sensitive-data, or security 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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Alexandria University has 2 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
Alexandria University has 1 source-backed public claim for exams; deterministic analysis status: recommended.
Privacy and data entry
Alexandria University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Alexandria University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
Alexandria University has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Alexandria University has 2 source-backed public claims for named ai services; deterministic analysis status: recommended.
Teaching guidance
Alexandria University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Alexandria University has 3 source-backed public claims 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
4 reviewed evidence-backed public claim
Ai Tool Treatment
Alexandria University's Council for Postgraduate Studies and Research emphasized limiting use of AI tools such as ChatGPT and using them responsibly and ethically when writing scientific papers before submission.
Review: Agent reviewed
Normalized value: Research-writing AI use should be limited and responsible under the Council recommendation.
Original evidence
Evidence 1It also emphasized the need to limit the use of artificial intelligence tools, such as ChatGPT, which have become widely used since their launch in 2022, and to ensure the responsible and ethical use of these tools when writing scientific papers before submitting them for publication.
Privacy
Alexandria University's AI governance strategy discussion included ensuring safe and responsible AI use through regulatory and ethical frameworks while adhering to data protection and privacy standards.
Review: Agent reviewed
Normalized value: AI governance objectives include regulatory and ethical frameworks plus data protection and privacy standards.
Original evidence
Evidence 1In addition, the Council stressed the importance of ensuring the safe and responsible use of AI by establishing regulatory and ethical frameworks, while adhering to data protection and privacy standards.
Research
Alexandria University's Council for Postgraduate Studies and Research stressed adherence to AI Guidelines announced by the Supreme Council of Universities for research-related AI use.
Review: Agent reviewed
Normalized value: Council stressed adherence to Supreme Council of Universities AI Guidelines.
Original evidence
Evidence 1The Council further stressed adherence to the AI Guidelines announced by the Supreme Council of Universities.
Research
Alexandria University's Faculty of Education AI research framework identifies privacy, result falsification, plagiarism, and overreliance on AI technologies as ethical and legal risks in research use of AI.
Review: Agent reviewed
Normalized value: Faculty of Education framework identifies AI research risks including privacy, falsification, plagiarism, and overreliance.
Original evidence
Evidence 1An analysis of the ethical and legal risks and concerns associated with AI use, particularly regarding issues such as privacy, result falsification, plagiarism, and the potential erosion of critical thinking skills due to overreliance on AI technologies.
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
An Operational Framework on the Integration of Artificial Intelligence in Scientific Research
edu.alexu.edu.eg
Council of Graduate Studies and Research Discusses AI Governance Strategy and Approves Formation of a Specialized Supreme Committee
alexu.edu.eg
The Council for Postgraduate Studies and Research Recommends Activating the Scientific Integrity Office at Alexandria University
alexu.edu.eg
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.