Amman, Jordan

German Jordanian University

German Jordanian University has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.

German Jordanian University AI policy short answer

v1 public contract

German Jordanian University has 5 source-backed AI policy claims from 2 official source attributions, including 5 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 20, 2026. Discovery context: German Jordanian University is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists German Jordanian University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 5 source-backed claims, including 5 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/german-jordanian-university.json. The entity-level confidence is 94%. 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.

Claim coverage5 reviewedSource languageenPublic JSON/api/public/v1/universities/german-jordanian-university.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Research claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

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.

Privacy and data entry

German Jordanian University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

Academic integrity

German Jordanian University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

5 reviewed evidence-backed public claim

Ai Tool Treatment

German Jordanian University's AI principles apply to students, researchers, faculty members, and employees, each according to their role.

Review: Agent reviewedConfidence94%

Normalized value: ai_principles_scope_students_researchers_faculty_employees

Original evidence

Evidence 1
Scope of Application: These Principles apply to all students, researchers, faculty members, and employees at the German Jordanian University, each according to their role

Research

GJU's AI principles permit AI tools for research support such as data analysis and research model development, require researchers to disclose AI tool use, and prohibit using AI tools to produce complete research papers, fabricate data, generate non-original literature reviews, or create content not based on genuine research effort.

Review: Agent reviewedConfidence94%

Normalized value: research_ai_support_allowed_disclosure_required_complete_papers_fabrication_nonoriginal_reviews_prohibited

Original evidence

Evidence 1
Research Support: The use of AI tools is permitted for data analysis and the development of research models. Researchers are encouraged to use these tools to support research outcomes and enhance the accuracy of analyses.

Original evidence

Evidence 2
The use of AI tools to produce complete research papers, fabricate data, generate non-original literature reviews, or create content not based on genuine research effort is prohibited. Compliance with these regulations is a prerequisite for the academic recognition of scholarly outputs

Teaching

GJU's AI principles permit students to use AI tools for learning-supportive activities such as preliminary research, analysis, idea generation, writing improvement, and summarizing academic sources, provided that the use is disclosed; the principles prohibit using AI to fully prepare projects or theses without the student's actual contribution.

Review: Agent reviewedConfidence93%

Normalized value: student_ai_learning_support_allowed_disclosure_required_full_project_thesis_without_contribution_prohibited

Original evidence

Evidence 1
Limits of Student Use: Students are permitted to use AI tools in learning-supportive activities such as preliminary research, analysis, idea generation, writing improvement, and summarizing academic sources, provided that the usage is disclosed. However, AI use is prohibited for fully preparing projects or theses without the student's actual contribution

Privacy

GJU's AI principles require disclosure of AI tool use in academic and research tasks and say sensitive data should not be entered into AI tools without consent from the relevant authorities and individuals concerned.

Review: Agent reviewedConfidence92%

Normalized value: ai_use_disclosure_sensitive_data_consent_required

Original evidence

Evidence 1
Transparency and Accountability: Disclose the use of any artificial intelligence tools in academic and research tasks and scholarly outputs, specifying the tool's name, how it was used, where it was applied in the scholarly work, and its impact on the results.

Original evidence

Evidence 2
Data Protection and Privacy: Comply with laws, regulations, and guidelines related to personal data protection, including the Jordanian Personal Data Protection Law and University policies. Avoid inputting sensitive data into AI tools without obtaining consent from the relevant authorities and individuals concerned.

Academic Integrity

GJU's AI principles say misuse of AI tools, including plagiarism, cheating, and violations of academic integrity principles, will be handled under the disciplinary procedures in relevant university regulations and instructions.

Review: Agent reviewedConfidence91%

Normalized value: ai_misuse_plagiarism_cheating_academic_integrity_disciplinary_procedures

Original evidence

Evidence 1
Disciplinary Procedures: The University shall establish clear disciplinary procedures to address cases of misuse of artificial intelligence tools, including plagiarism, cheating, and violations of academic integrity principles. Such cases shall be handled in accordance with the disciplinary procedures stipulated in the relevant University regulations and instructions.

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

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.

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

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.

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