Policy presence
University of the Free State has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bloemfontein, South Africa
University of the Free State has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
University of the Free State has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of the Free State has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of the Free State has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
University of the Free State has 3 source-backed public claims for academic integrity; deterministic analysis status: recommended.
University of the Free State has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of the Free State has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of the Free State has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of the Free State has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
7 reviewed evidence-backed public claim
Source Status
Normalized value: senate_approved_ai_position_statement_scope
Evidencia original
Evidence 1Approved at Senate 27 May 2025. Within this statement, AI includes both generative and assistive AI technologies in the completion of a wide range of teaching and learning, research, and administrative tasks.
Ai Tool Treatment
Normalized value: no_blanket_ai_restriction_with_contextual_consideration
Evidencia original
Evidence 1Informed by the goals of Vision 130 the UFS does not impose a blanket restriction on the use of AI as it believes that by using new and emerging technologies the quality of learning, teaching, research, and business processes could be enhanced.
Academic Integrity
Normalized value: ai_integration_should_not_undermine_integrity
Evidencia original
Evidence 1Academic rigour, integrity and honesty: In embracing the potentials of AI, it is imperative to uphold the fundamental principles of academic integrity and ethical conduct in higher education. The integration of AI should, therefore, not undermine the core values of academic rigour, integrity, ethics, and honesty.
Academic Integrity
Normalized value: ai_detection_discontinued_all_faculties_activities_2026_07_01
Evidencia original
Evidence 1The University of the Free State (UFS) will discontinue the use of AI detection software across all faculties and academic activities from 1 July 2026, signalling a major shift in how the institution approaches academic integrity in an increasingly AI-enabled higher education environment.
Privacy
Normalized value: ai_tools_respect_privacy_data_security_harm_awareness
Evidencia original
Evidence 1Respect and awareness: Ensure the use of AI tools to respect individuals' privacy, and data security, and to mitigate and raise awareness of potential social and environmental harm.
Teaching
Normalized value: ai_literacy_and_support_across_ufs
Evidencia original
Evidence 1AI literacy and skills should be developed as part of the digital competencies across all levels within the UFS. Students, staff, and stakeholders should be supported to use AI tools effectively and responsibly.
Academic Integrity
Normalized value: student_responsibility_original_work_honest_appropriate_genai_use
Evidencia original
Evidence 1For students, the shift means that AI detection tools will no longer form part of assessment or academic integrity processes. At the same time, the university reaffirmed that students remain responsible for producing original work and for using generative AI tools honestly and appropriately within institutional guidelines.
0 machine or needs-review claim
2 source attribution
ufs.ac.za
ufs.ac.za