Policy presence
University of Cape Town has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Cape Town, South Africa
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
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
5 source attribution
cilt.uct.ac.za
cilt.uct.ac.za
uct.ac.za
icts.uct.ac.za
ai.uct.ac.za