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
University of the Free State has 7 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 7 reviewed claims. Last checked May 26, 2026.
University of the Free State AI policy short answer
v1 public contract
University of the Free State has 7 source-backed AI policy claims from 2 official source attributions, including 7 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 26, 2026. Discovery context: University of the Free State is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of the Free State as an agent-reviewed AI policy record last checked on May 26, 2026 and last changed on May 26, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 2 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-the-free-state.json. The entity-level confidence is 94%. 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.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
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.
Coursework
University of the Free State has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of the Free State has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of the Free State has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
University of the Free State has 3 source-backed public claims for academic integrity; deterministic analysis status: recommended.
Approved tools
University of the Free State has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of the Free State has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of the Free State has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of the Free State has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
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.
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
7 reviewed evidence-backed public claim
Source Status
The University of the Free State has a Senate-approved AI Position Statement that covers both generative and assistive AI technologies across teaching and learning, research, and administrative tasks.
Review: Agent reviewed
Normalized value: senate_approved_ai_position_statement_scope
Original evidence
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
UFS states that it does not impose a blanket restriction on AI use, while noting that advantages, disadvantages, and implications need to be considered in different UFS spheres.
Review: Agent reviewed
Normalized value: no_blanket_ai_restriction_with_contextual_consideration
Original evidence
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
UFS identifies academic rigour, integrity, and honesty as a guiding principle for AI use and says AI integration should not undermine academic integrity, ethics, and honesty.
Review: Agent reviewed
Normalized value: ai_integration_should_not_undermine_integrity
Original evidence
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
UFS announced that it will discontinue the use of AI detection software across all faculties and academic activities from 1 July 2026.
Review: Agent reviewed
Normalized value: ai_detection_discontinued_all_faculties_activities_2026_07_01
Original evidence
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
UFS lists respect and awareness as an AI guiding principle, including respect for individuals' privacy and data security and awareness of potential social and environmental harm.
Review: Agent reviewed
Normalized value: ai_tools_respect_privacy_data_security_harm_awareness
Original evidence
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
UFS says AI literacy and skills should be developed as part of digital competencies across all levels of the institution, with students, staff, and stakeholders supported to use AI tools effectively and responsibly.
Review: Agent reviewed
Normalized value: ai_literacy_and_support_across_ufs
Original evidence
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
UFS reaffirmed that students remain responsible for producing original work and using generative AI tools honestly and appropriately within institutional guidelines.
Review: Agent reviewed
Normalized value: student_responsibility_original_work_honest_appropriate_genai_use
Original evidence
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.
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
2 source attribution
UFS shifts academic integrity approach in AI era
ufs.ac.za
University of the Free State AI Position Statement
ufs.ac.za
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.
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.