Policy presence
University of Johannesburg has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Johannesburg, South Africa
University of Johannesburg
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
University of Johannesburg has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Johannesburg has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Johannesburg has 3 source-backed public claims for exams; deterministic analysis status: required.
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
University of Johannesburg has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
University of Johannesburg has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
University of Johannesburg 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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
3 reviewed evidence-backed public claim
Academic Integrity
UJ's practice note states that presenting the work of a generative AI tool, in whole or in part, as one's own is academic dishonesty, and says AI use should be acknowledged where used.
Review: Agent reviewed
Normalized value: ai_generated_work_presented_as_own_is_academic_dishonesty
Original evidence
Evidence 1To present the work of someone else or of a generative AI tool, in whole or in part, as one’s own, is academic dishonesty. To mitigate the risks of academic misconduct, in the context of generative AI, it is recommended that: students and researchers be transparent and sign a declaration that the work is their own.
Academic Integrity
UJ's student guide says generative AI use depends on course, department, faculty rules and UJ policy, and students should familiarise themselves with those requirements before producing assignments and assessments.
Review: Agent reviewed
Normalized value: students_must_check_course_and_policy_requirements
Original evidence
Evidence 1How you use generative AI depends on your course, department, or faculty rules, as well as UJ policy. Familiarise yourself with the rules and requirements before you produce assignments and assessments.
Teaching
UJ's staff guide frames appropriate generative AI use as including clear communication of institutional, departmental, and course regulations on generative AI, including referencing generated content.
Review: Agent reviewed
Normalized value: staff_guidance_clear_communication_of_ai_rules
Original evidence
Evidence 1Appropriate use of generative AI should apply the following parameters: Clear communication of the institutional/ departmental/ course regulations on the use of generative AI, including referencing generated content, developing proficiency in prompt generation, and harnessing the benefits of generative AI.
Candidate claims
0 machine or needs-review claim
Official sources
3 source attribution
Staff Guide: Generative Artificial Intelligence in Teaching, Learning and Research
uj.ac.za
UJ Practice Note: Generative Artificial Intelligence in Teaching, Learning and Research
uj.ac.za
UJ Quick Guide for Students: Using Generative Artificial Intelligence as a Learning Tool
uj.ac.za