Policy presence
University of Cape Town has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Cape Town, South Africa
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.
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Cape Town has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
University of Cape Town has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of Cape Town has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Cape Town has 3 source-backed public claims for exams; deterministic analysis status: restricted.
University of Cape Town has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Cape Town has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
University of Cape Town has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
University of Cape Town has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
University of Cape Town has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of Cape Town has 3 source-backed public claims for research guidance; deterministic analysis status: recommended.
University of Cape Town has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
6 reviewed evidence-backed public claim
Teaching
Original evidence
Evidence 1UCT has developed the UCT Framework for AI in Education: Generative and other AI in Teaching, Learning and Assessment.
Privacy
Original evidence
Evidence 1Treat AI inputs as public: never share personal, confidential, or UCT intellectual property with publicly available AI tools.
Research
Original evidence
Evidence 1Researchers should use generative AI tools in the context of UCT policies.
Original evidence
Evidence 2The 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
Original evidence
Evidence 1AI detection tools remain unreliable and their use is not supported at UCT.
Security Review
Original evidence
Evidence 1Before 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
Original evidence
Evidence 1To 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.
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.
5 source attribution
cilt.uct.ac.za
cilt.uct.ac.za
uct.ac.za
icts.uct.ac.za
ai.uct.ac.za
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