Cape Town, South Africa

University of Cape Town

University of Cape Town is listed as QS 2026 rank 150. University of Cape Town has 6 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

University of Cape Town is listed as QS 2026 rank 150. University of Cape Town has 6 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Cape Town as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-cape-town.json. The entity-level confidence is 97%. 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 coverage6 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-cape-town.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Security review 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.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources5

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 confidence82%

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.

Policy presence

University of Cape Town has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence83%Evidence1Sources1

AI disclosure

University of Cape Town has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence83%Evidence1Sources1

Academic integrity

University of Cape Town has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

Approved tools

University of Cape Town has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

Named AI services

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

RestrictedMachine candidateConfidence83%Evidence1Sources1

Security and procurement

University of Cape Town has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

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

6 reviewed evidence-backed public claim

Teaching

UCT has published an AI in Education Framework for teaching, learning, and assessment, endorsed by the Senate Teaching and Learning Committee in June 2025, and it frames AI literacies, assessment integrity, and AI-enabled innovation as its roadmap.

Review: Agent reviewedConfidence97%

Original evidence

Evidence 1
UCT has developed the UCT Framework for AI in Education: Generative and other AI in Teaching, Learning and Assessment.

Privacy

UCT advises administrative and support staff to treat AI inputs as public and not share personal, confidential, or UCT intellectual property with publicly available AI tools.

Review: Agent reviewedConfidence97%

Original evidence

Evidence 1
Treat AI inputs as public: never share personal, confidential, or UCT intellectual property with publicly available AI tools.

Research

UCT's EiRC research guideline says researchers should use generative AI tools in the context of UCT policies and disclose AI use with a disclaimer or explanatory note describing where and how it was used.

Review: Agent reviewedConfidence97%

Original evidence

Evidence 1
Researchers should use generative AI tools in the context of UCT policies.

Original evidence

Evidence 2
The UCT Senate Ethics in Research Committee (EiRC) has shared updated guidelines and recommendations for the responsible use of generative AI tools in research, that include an appendix which outlines a variety of possible use-cases in the research life cycle, with corresponding risk-rated activities.

Academic Integrity

UCT says AI detection tools remain unreliable and that their use is not supported at UCT.

Review: Agent reviewedConfidence96%

Original evidence

Evidence 1
AI detection tools remain unreliable and their use is not supported at UCT.

Security Review

Before procuring generative AI tools, UCT staff or departments should consult ICTS and the tools must undergo information security and privacy risk assessment.

Review: Agent reviewedConfidence96%

Original evidence

Evidence 1
Before procuring generative AI tools, staff or departments should consult with ICTS. All third-party AI tools must undergo an information security and privacy risk assessment.

Teaching

UCT CILT publishes open-access AI guides for staff, students, and researchers, and also offers interactive AI guides on Amathuba for UCT staff and students.

Review: Agent reviewedConfidence96%

Original evidence

Evidence 1
To support UCT staff and students to navigate GenAI in education, we have developed comprehensive guides accessible to anyone interested in understanding and engaging with GenAI responsibly.

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

5 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 14, 2026Last changedMay 14, 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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