Mauritius's Higher Education Commission published national AI governance guidelines in June 2025, grounded in the GDPR-aligned Data Protection Act 2017, recommending AI Ethics & Risk-Audit committees — after a baseline survey found 65% of institutions had no formal AI policy.
65 %
Institutional leaders reporting no formal AI policy (baseline survey)
28 %
Academic staff feeling adequately trained in AI (baseline survey)
23 %
Policymakers feeling adequately trained in AI (baseline survey)
59 %
Academic staff never using AI for assessment/grading (baseline survey)
6 institutions
Public institutions engaged
95 staff
Staff involved in initiative
Details
Maturity
Pilot
Promoter
Higher Education Commission (HEC), Mauritius, with the Commonwealth of Learning (COL)
Period
2024 (development) – published June 2025 – ongoing
Keywords
AI governance guidelines, data protection impact assessment, algorithmic bias auditing, academic integrity, higher-education ethics committees
Context
The Higher Education Commission (HEC), Mauritius's statutory regulator for higher education, published 'Guidelines on the Use of AI in Higher Education' in June 2025, authored by Professor Romeela Mohee and Dr Anjusha Durbarry through a seven-step Commonwealth of Learning (COL)-recommended policy process. The document is structured around four pillars — Governance; Teaching, Learning, Assessment & Research; Ethics; and the Future of AI in HE — and drew on three separate surveys of institutional leaders, academic staff and students, overseen by a stakeholder committee spanning the Ministry of Tertiary Education, Science and Research, the University of Mauritius, the Open University of Mauritius, the University of Technology Mauritius and the Mauritius Emerging Technologies Council.
Objectives
Establish a national ethical and governance framework for AI use in higher education, grounded explicitly in Mauritian law — the right to privacy under Article 9 of the Constitution and Article 22 of the Code Civil Mauricien, the non-discrimination clause of Article 16, and the Data Protection Act 2017 (aligned with EU GDPR).
Activities
Institutions are advised to establish an 'AI Ethics and Compliance Committee' and an 'AI Risk and Audit Committee,' a formal channel to report data-privacy breaches, academic dishonesty and algorithmic bias, anonymisation/encryption/access-control requirements for student and staff data, and disclosure when AI is used in grading or admissions. The guidelines were formally launched by the Minister of Tertiary Education, Science and Research at a validation workshop with over 50 representatives from public and private institutions; the underlying initiative involved 95 staff across six public institutions.
Results
The baseline survey underpinning the guidelines found that 65% of institutional leaders reported their institution lacked a formal AI policy, only 28% of academic staff and 23% of policymakers felt adequately trained in AI, and 59% of academic staff had never used AI for assessment or grading.
Conclusions
The framework is explicitly non-binding — the document repeatedly states 'the onus is on each HEI to develop its own Ethical AI Policy Framework,' with no described penalty regime for non-compliance — and is framed as 'a living document' that 'will continuously evolve,' meaning the June 2025 version is a first iteration rather than settled, enforced policy.
Implementation
Indicative cost
Low (< €50k) — No budget disclosed; developed through a Commonwealth of Learning-supported policy process involving surveys and a validation workshop rather than a described capital investment.
Time to results
Short (< 1 year) — Developed through 2024 and published June 2025 following a seven-step COL-recommended process; explicitly framed as a first iteration expected to evolve.
Staffing & skills
Higher Education Commission (HEC), Mauritius (statutory regulator), lead authors: Professor Romeela Mohee and Dr Anjusha Durbarry, stakeholder committee: Ministry of Tertiary Education, Science and Research; University of Mauritius; Open University of Mauritius; University of Technology Mauritius; Mauritius Emerging Technologies Council, Commonwealth of Learning (COL), process methodology partner
Conditions for success
statutory regulator backing with a structured multi-step (COL) policy process
grounding in existing national law (Constitution, Data Protection Act 2017) rather than a standalone soft-law document
baseline surveys of leaders, staff and students to target real gaps
each institution required to develop its own Ethical AI Policy Framework building on the guidelines
Common failure modes
the framework is explicitly non-binding with no described penalty regime for non-compliance
described as a first iteration/'living document', not settled enforced policy
low staff AI-training levels (28% of staff, 23% of policymakers) at time of launch
Where it fits
Governance type
national statutory regulator
Scale
national higher-education sector
Income level
upper-middle-income
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
Where this practice's information was retrieved from, and when.
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