Johannesburg, South Africa

University of Witwatersrand

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources2Source languageenPublic JSON/api/public/v1/universities/university-of-witwatersrand.json

Policy profile

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

Privacy and data entry

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

RestrictedMachine candidateConfidence79%Evidence1Sources1

Academic integrity

University of Witwatersrand has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Approved tools

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

University of Witwatersrand has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence1Sources1

Teaching guidance

University of Witwatersrand has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%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

AI tools

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

4 reviewed evidence-backed public claim

Source Status

Wits University publishes an AI Framework page for responsible AI use, and that page states that the framework is not a policy document.

Review: Agent reviewedConfidence95%

Normalized value: ai_framework_not_policy_document

Original evidence

Evidence 1
The 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

Wits University's AI Framework says individual scholars or human teams remain responsible for originality, accuracy, and integrity, and that AI use should be transparently disclosed and appropriately acknowledged in line with university policy.

Review: Agent reviewedConfidence94%

Normalized value: responsibility_disclosure_acknowledgement

Original evidence

Evidence 1
The 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

Wits University's AI Framework advises staff and students to be mindful of data security, confidentiality, privacy, and intellectual property risks, and says sensitive or personal data should not be entered into public AI systems.

Review: Agent reviewedConfidence93%

Normalized value: sensitive_personal_data_public_ai_caution

Original evidence

Evidence 1
Staff 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

A Wits CLTD guidelines document describes generative AI guidance for learning, teaching, and research, with an intended audience that includes academic staff, students, researchers, administrators, and policy makers.

Review: Agent reviewedConfidence86%

Normalized value: cltd_gai_guidelines_learning_teaching_research_audience

Original evidence

Evidence 1
These guidelines are intended for a broad audience within the higher education community, including: Academic staff; Students; Researchers; Administrators and Policy Makers.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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