
HEA urges Zambian universities to embrace AI — responsibly
The Higher Education Authority says tertiary institutions must adopt artificial intelligence with guardrails on integrity, equity and faculty preparedness.
Photo: Photo: Zachary1969Wikimedia CommonsCC BY-SA 4.0
LUSAKA, 25 MAY 2026—Updated 1h ago
LUSAKA — The Higher Education Authority is telling Zambia's universities and colleges to embed artificial intelligence into their teaching, research and administration — with explicit guardrails on academic integrity, equity of access and faculty preparedness, HEA officials said in a guidance note published on Monday.
The intervention lands at a moment when generative AI tools are quietly reshaping how students draft essays, how lecturers prepare notes and how administrators run timetables. The HEA's framing is deliberate: Zambia cannot afford to ban what is already in use, but it cannot afford to let it spread without rules either.
What the HEA said
The guidance covers four areas: classroom use, research practice, administrative deployment and student services. On the classroom, the HEA wants institutions to publish AI-use policies before the next academic year. On research, the authority is calling for declaration of AI assistance in theses and journal submissions, in line with emerging international norms.
We are not in the business of banning AI from Zambian higher education. We are in the business of making sure its adoption serves our students, our researchers and our institutions — not the other way around.
— Higher Education Authority, guidance note on AI in Zambian higher education, 25 May 2026
On equity of access, the HEA flagged that AI tools are more readily available to students at well-resourced private institutions than at smaller public colleges. The authority is asking for shared-licensing models negotiated at sector level and for the Ministry of Education to factor AI tool access into the digital-readiness component of the National Higher Education Strategic Plan.
The numbers
Zambia has 9 public universities and more than 60 registered private higher-education institutions, serving roughly 120,000 students. The HEA estimates that fewer than a third of those institutions currently publish any policy on student use of generative AI. ZICTA data shows university-region broadband penetration improving but still uneven, with rural-campus latency a binding constraint.
The integrity question
The clearest immediate friction is around academic integrity. Faculty across Zambia and the region have reported a jump in essays that read as machine-generated. The HEA's view is that the right response is policy and pedagogy, not prohibition: institutions should specify which assessments allow AI assistance and which do not, train students on appropriate disclosure, and weight assessment design toward demonstrations of understanding that cannot be outsourced. The University of Zambia and Copperbelt University are both said to be drafting institution-level AI-use policies for the September academic year.
On research, the position aligns with what major journals now require: declaration of AI tools used in drafting, analysis or figure generation. The HEA wants Zambian doctoral programmes to bring this into their thesis-submission templates.
Background reading: our coverage of <a href="/writing/anthropic-enterprise-ai-surge-claude-zambian-smes">enterprise AI adoption among Zambian SMEs</a> and our piece on <a href="/writing/mtn-zambia-starlink-direct-to-cell-fintech">MTN Zambia's Starlink direct-to-cell ambitions</a>, the connectivity rails that AI services run on.
Why this matters
Universities sit at the intersection of three things AI is changing fast: the labour market a graduating cohort enters, the research pipeline a country relies on, and the way young Zambians acquire writing, analytical and critical-thinking skills. Get the policy right and Zambia's next graduate cohort enters the labour market with AI fluency; get it wrong and the country reproduces a digital divide on top of an existing skills divide. Research from regional comparators in Kenya and Rwanda shows the institutions that move early on policy tend to keep curriculum credibility through the transition.
What to watch
Three signals over the next academic year. First, the publication of institutional AI-use policies by the September intake — the HEA's explicit deadline. Second, the Ministry of Education's response on shared-licensing for AI tools. Third, evidence of curriculum revisions in computer-science, data-science and education programmes at the University of Zambia, Copperbelt University and the larger private institutions. This is part of Kwacha News's ongoing technology coverage.
Sources
Higher Education Authority: guidance note on AI in Zambian higher education, 25 May 2026. Ministry of Education: National Higher Education Strategic Plan documents. ZICTA: connectivity sector statistics.
Frequently Asked Questions
What is the Higher Education Authority?
In short, the Higher Education Authority (HEA) is the Zambian statutory body that regulates and quality-assures public and private universities, colleges and other higher-education institutions. The answer, simply put, is that it accredits programmes, audits institutions and shapes sector policy.
How should universities adopt AI responsibly?
According to the HEA's guidance, responsible adoption rests on three pillars: clear academic-integrity rules on student use of generative tools, equity-of-access measures so AI is not gated to better-resourced institutions, and faculty preparedness so lecturers can teach with and about AI.
Why is AI policy a higher-education question?
Research from the HEA and ZICTA shows AI is reaching teaching, research, administration and student employability simultaneously. The key is that university policy decisions in 2026 will set the rails for the next graduate cohort's skills baseline.
Who teaches AI in Zambian universities?
The University of Zambia and the Copperbelt University run computer-science and data-science programmes; Mulungushi, Kwame Nkrumah and several private institutions have added AI electives. In other words, the supply side is small but growing, and the HEA wants the curriculum to align across institutions.
What are the real risks of unregulated AI adoption?
Analysis of comparator markets demonstrates three durable risks: erosion of academic integrity through unchecked generative use, widening of the digital divide between elite and under-resourced institutions, and faculty deskilling if AI is treated as a replacement rather than a tool. Evidence from early adopters reveals each is preventable with policy.
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