Policy presence
Saint Joseph University of Beirut (USJ) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Beirut, Lebanon
Saint Joseph University of Beirut (USJ)
Saint Joseph University of Beirut (USJ) has 6 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 17, 2026.
Saint Joseph University of Beirut (USJ) AI policy short answer
v1 public contract
Saint Joseph University of Beirut (USJ) has 6 source-backed AI policy claims from 4 official source attributions, including 6 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 17, 2026. Discovery context: Saint Joseph University of Beirut (USJ) is listed as QS 2026 rank =618.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Saint Joseph University of Beirut (USJ) as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/saint-joseph-university-of-beirut-usj.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.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy 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
Saint Joseph University of Beirut (USJ) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Saint Joseph University of Beirut (USJ) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Saint Joseph University of Beirut (USJ) has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Saint Joseph University of Beirut (USJ) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Saint Joseph University of Beirut (USJ) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Saint Joseph University of Beirut (USJ) has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
Saint Joseph University of Beirut (USJ) has 3 source-backed public claims for named ai services; deterministic analysis status: conditionally_allowed.
Teaching guidance
Saint Joseph University of Beirut (USJ) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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
Ai Tool Treatment
USJ's AI guiding principles advise users to systematically verify data and information sources provided by generative AI.
Review: Agent reviewed
Normalized value: verify_generative_ai_sources
Original evidence
Evidence 1Vérifier systématiquement les données et sources d’information données par l’IA générative.
Localized display only
Verify information sources: systematically check the data and sources of information provided by generative AI to ensure accuracy and reliability.
Academic Integrity
USJ's ChatGPT-3 guidance says using ChatGPT is not necessarily an academic-integrity violation, but unauthorized use to create content submitted as one's own is considered plagiarism and a violation of academic-integrity policy.
Review: Agent reviewed
Normalized value: unauthorized_chatgpt_submission_plagiarism
Original evidence
Evidence 1L'utilisation de ChatGPT n'est pas nécessairement considérée comme une violation de l'intégrité académique, cependant, son utilisation non autorisée pour créer du contenu soumis comme étant le sien propre est considérée comme du plagiat et une violation de la politique d'intégrité académique.
Localized display only
Using ChatGPT is not necessarily considered an academic-integrity violation, but unauthorized use to create content submitted as one's own is considered plagiarism and a violation of academic-integrity policy.
Teaching
USJ's CINIA page presents guiding principles intended to support effective, responsible, and ethical use of artificial intelligence in higher education teaching and learning, and says the principles were approved and validated by USJ's Committee for Digital and Artificial Intelligence Strategic Orientation.
Review: Agent reviewed
Normalized value: guiding_principles_approved_validated
Original evidence
Evidence 1Quelques principes directeurs pour un usage efficace, responsable et éthique de l’intelligence artificielle dans l’enseignement et l’apprentissage au supérieur. Note: The Committee for Digital and Artificial Intelligence Strategic Orientation at USJ has approved and validated these guiding principles.
Localized display only
Guiding principles for effective, responsible, and ethical AI use in higher education teaching and learning; the page notes that USJ's digital and AI strategic-orientation committee approved and validated them.
Academic Integrity
USJ's AI guiding principles frame academic integrity as appropriately incorporating AI-altered or manipulated digital content and citing it accordingly.
Review: Agent reviewed
Normalized value: cite_ai_altered_content
Original evidence
Evidence 1Maintain Academic Integrity: Demonstrate academic integrity by appropriately incorporating AI-altered or manipulated digital content into one's work and citing it accordingly.
Localized display only
Maintain academic integrity by appropriately incorporating AI-altered or manipulated digital content into one's work and citing it accordingly.
Privacy
USJ's CINIA guidance warns that free AI tools may carry privacy-related risks and should be used with awareness of secure and responsible-use considerations.
Review: Agent reviewed
Normalized value: free_ai_tools_privacy_risk
Original evidence
Evidence 1L'utilisation d'outils d'IA gratuits peut comporter certains risques liés à la vie privée. Il est donc crucial d'être conscient de ces outils et des considérations associées pour garantir une utilisation sécurisée et responsable.
Localized display only
The use of free AI tools may entail privacy-related risks; users should be mindful of these tools and related considerations to ensure secure and responsible use.
Teaching
USJ's CINIA training catalog includes student training on proper use of AI tools, with ethical questions such as data confidentiality, AI-error responsibility, and possible discrimination from biased training data.
Review: Agent reviewed
Normalized value: student_training_proper_ai_use
Original evidence
Evidence 1Formation aux étudiants au bon usage des outils de l’intelligence artificielle (IA). Soulever les questions reliées aux défis et aux implications éthiques de l’IA telles que la confidentialité des données, la responsabilité en cas d’erreurs de l’IA, et l’éventuelle discrimination liée aux données d’entraînement biaisées.
Localized display only
Student training on proper AI-tool use raises ethical challenges and implications including data confidentiality, responsibility for AI errors, and possible discrimination from biased training data.
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
4 source attribution
Catalogue de formations - Center for Digital Innovation and AI
cinia.blogs.usj.edu.lb
ChatGPT-3 - Center for Digital Innovation and AI
cinia.blogs.usj.edu.lb
Guiding Principles for Ethical Use of Artificial Intelligence in Higher Education Teaching and Learning
cinia.blogs.usj.edu.lb
Le Chat - Mistral AI - Center for Digital Innovation and AI
cinia.blogs.usj.edu.lb
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.