Policy presence
University of Witwatersrand has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Johannesburg, South Africa
University of Witwatersrand has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Witwatersrand has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
University of Witwatersrand has 2 source-backed public claims for coursework; deterministic analysis status: required.
University of Witwatersrand has 2 source-backed public claims for exams; deterministic analysis status: required.
University of Witwatersrand has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
University of Witwatersrand has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
University of Witwatersrand has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
University of Witwatersrand has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
University of Witwatersrand has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Source Status
Normalized value: ai_framework_not_policy_document
Original evidence
Evidence 1The University has established six broad principles that provide a common framework for the ethical use of AI, ensuring that academic integrity and research ethics are upheld. This framework is not a policy document.
Academic Integrity
Normalized value: responsibility_disclosure_acknowledgement
Original evidence
Evidence 1The University underscores that the individual scholar (or human team) remains fully responsible for the originality, accuracy, and integrity of their work. The use of AI must be transparently disclosed and appropriately acknowledged in line with university policy.
Privacy
Normalized value: sensitive_personal_data_public_ai_caution
Original evidence
Evidence 1Staff and students engaging with AI must be mindful of the risks relating to data security, confidentiality, privacy, and intellectual property. Sensitive and / or personal data should not be entered into public AI systems.
Teaching
Normalized value: cltd_gai_guidelines_learning_teaching_research_audience
Original evidence
Evidence 1These guidelines are intended for a broad audience within the higher education community, including: Academic staff; Students; Researchers; Administrators and Policy Makers.
0 machine or needs-review claim
2 source attribution
wits.ac.za
wits.ac.za