University AI Policy Tracker
APIGitHub
Language
ENZHFRPL

Johannesburg, South Africa

University of Witwatersrand

RankingQS World University Rankings 2026: 291UpdatedMay 16, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

4 reviewed claims

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

Last checked
May 16, 2026
Last changed
May 16, 2026

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.
Source language
English (en)
Snapshot hash
6431f172…
Retrieved
May 16, 2026
Evidence locator
The 6 Wits AI Principles

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

Last checked
May 16, 2026
Last changed
May 16, 2026

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.
Source language
English (en)
Snapshot hash
6431f172…
Retrieved
May 16, 2026
Evidence locator
Principle 1: Upholding unwavering integrity and personal accountability

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

Last checked
May 16, 2026
Last changed
May 16, 2026

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.
Source language
English (en)
Snapshot hash
6431f172…
Retrieved
May 16, 2026
Evidence locator
Principle 5: Manage institutional risks and promote responsible implementation

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

Last checked
May 16, 2026
Last changed
May 16, 2026

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.
Source language
English (en)
Snapshot hash
a96dc6ba…
Retrieved
May 16, 2026
Evidence locator
Intended Audience and Scope

Source record

Official sources

2 sources

Record information, JSON & citation
Reviewagent reviewedConfidence95%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "University of Witwatersrand AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/university-of-witwatersrand

Original university source language remains canonical. This tracker is not an official university statement.

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