Beirut, Lebanon

American University of Beirut (AUB)

Last checkedMay 15, 2026Last changedMay 15, 2026Review: Agent reviewedConfidence94%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources1Source languageenPublic JSON/api/public/v1/universities/american-university-of-beirut.json

Coverage score65/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence79%

Policy presence

American University of Beirut (AUB) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence79%Evidence5Sources1

Claim claim-aub-genai-transparency-attribution Claim claim-aub-research-privacy-confidentiality Claim claim-aub-researcher-accountability

AI disclosure

American University of Beirut (AUB) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Claim claim-aub-genai-transparency-attribution

Coursework

No source-backed public claim about coursework AI use is present in this profile.

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

No source-backed public claim about exam AI use is present in this profile.

The current public tracker record does not contain claim evidence about exams, tests, quizzes, or examination conditions.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

American University of Beirut (AUB) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence2Sources1

Claim claim-aub-research-privacy-confidentiality Claim claim-aub-sensitive-data-approved-ai

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

American University of Beirut (AUB) has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

Claim claim-aub-sensitive-data-approved-ai

Named AI services

American University of Beirut (AUB) has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

Claim claim-aub-research-privacy-confidentiality

Teaching guidance

American University of Beirut (AUB) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Claim claim-aub-research-guidelines-scope

Research guidance

American University of Beirut (AUB) has 5 source-backed public claims for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence5Sources1

Claim claim-aub-genai-transparency-attribution Claim claim-aub-research-privacy-confidentiality Claim claim-aub-researcher-accountability

Security and procurement

American University of Beirut (AUB) has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

Claim claim-aub-sensitive-data-approved-ai

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

5 reviewed evidence-backed public claim

Normalized value: confidential-data-ai-data-protection-agreements

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Confidential data must not be shared with AI systems unless supported by appropriate data protection agreements.
Source: AUB guidelines for the Use of Generative AI in Research

Source language: English (en)
Snapshot hash: 2fd3f757a7e074085b4b5c65a3a50c4fadc970f3f2808eb369fa7a05986034f1
Retrieved: May 15, 2026
Evidence locator: Guiding Principles: Privacy and Confidentiality

Normalized value: document-when-how-which-ai-tools-used

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Researchers must document when, how and which AI tools are used, along with their influence on the research and dissemination process
Source: AUB guidelines for the Use of Generative AI in Research

Source language: English (en)
Snapshot hash: 2fd3f757a7e074085b4b5c65a3a50c4fadc970f3f2808eb369fa7a05986034f1
Retrieved: May 15, 2026
Evidence locator: Guiding Principles: Transparency and Attribution

Normalized value: researcher-accountability-human-oversight

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Researchers are fully responsible and accountable for the use of AI in research, ensuring that AI tools do not replace human judgment.
Source: AUB guidelines for the Use of Generative AI in Research

Source language: English (en)
Snapshot hash: 2fd3f757a7e074085b4b5c65a3a50c4fadc970f3f2808eb369fa7a05986034f1
Retrieved: May 15, 2026
Evidence locator: Guiding Principles: Accountability and responsibility

Normalized value: secure-aub-servers-approved-encrypted-clouds-not-public-genai-apis

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Research involving sensitive data (patient, financial, political) must use secure in-house or approved private AI systems, not public GenAI APIs.
Source: AUB guidelines for the Use of Generative AI in Research

Source language: English (en)
Snapshot hash: 2fd3f757a7e074085b4b5c65a3a50c4fadc970f3f2808eb369fa7a05986034f1
Retrieved: May 15, 2026
Evidence locator: Opportunities and Safe Guards: Data Management and Security

Normalized value: research-scoped-genai-guidelines

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

this document offers initial guidelines on the responsible usage of GenAI in research
Source: AUB guidelines for the Use of Generative AI in Research

Source language: English (en)
Snapshot hash: 2fd3f757a7e074085b4b5c65a3a50c4fadc970f3f2808eb369fa7a05986034f1
Retrieved: May 15, 2026
Evidence locator: Introduction

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

AUB guidelines for the Use of Generative AI in Research

aub.edu.lb

Source URL: https://www.aub.edu.lb/research/Documents/AUB-guidelines-for-the-Use-of-Generative-AI-in-Research.pdf
Snapshot hash: 2fd3f757a7e074085b4b5c65a3a50c4fadc970f3f2808eb369fa7a05986034f1

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Open contribution paths Review workflow

Back to universities

American University of Beirut (AUB)

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

AUB's research GenAI guidance says confidential data must not be shared with AI systems unless appropriate data protection agreements support that sharing.

AUB's research GenAI guidance says researchers must document when, how, and which AI tools are used, including their influence on research and dissemination.

Under AUB's research GenAI guidance, researchers remain responsible and accountable for AI use, and human oversight must guide critical research decisions and interpretations.

For research data management and security, AUB's guidance limits GenAI use to secure AUB servers or approved encrypted clouds and directs sensitive research data away from public GenAI APIs.

AUB has issued initial guidelines on responsible use of generative AI in research, not a general student or teaching policy in this staged evidence set.

Candidate claims

Official sources

AUB guidelines for the Use of Generative AI in Research

Change log

Corrections