By Dr Etuna Simon
Not long ago, I met a friend whose passion for Artificial Intelligence (AI) in education and training immediately caught my attention.
As our conversation unfolded, I discovered something fascinating. He was pursuing two PhDs simultaneously at two different institutions.
I was intrigued. Anyone who has undertaken doctoral studies understands the intellectual demands involved.
The extensive reading, critical engagement with literature, data analysis, academic writing and constant questioning of one’s assumptions require considerable discipline. Pursuing one PhD is demanding enough. Two seemed almost unimaginable.
Naturally, I asked him how he managed. His response brought AI into our conversation.
He explained how he integrates AI into his research processes, particularly to identify relevant resources, organise information and support the synthesis of research materials.
What interested me most, however, was not his use of technology. It was the distinction he made between allowing AI to assist his research and not allowing AI to do the thinking for him.
He emphasised that AI should not replace the researcher’s intellectual contribution. Instead, it should support the process while researchers critically examine evidence, interpret findings and construct their own arguments.
That conversation stayed with me. We are living in an era when AI can generate essays, summarise lengthy documents, suggest research questions and produce convincing academic arguments within seconds.
Yet this convenience raises an uncomfortable question: are we using AI to become better thinkers, or are we gradually allowing it to think on our behalf?
My friend’s experience reminded me that the challenge is not necessarily the presence of AI in education and research. It is how we choose to use it. And this is precisely where Namibia’s emerging conversation about AI governance becomes important.
Regulation should enable responsible use
In October 2026, Namibia’s Minister of Information and Communication Technology, Hon. Emma Theofelus, announced that Cabinet had directed the ministry and the Office of the Prime Minister to develop an internal AI policy for public servants.
The proposed policy is intended to establish guidelines and safeguards for responsible AI use in government, particularly concerning information security, data protection and public accountability.
This is a welcome development. As AI becomes increasingly integrated into government operations, education, healthcare, research and business, the absence of appropriate safeguards could expose institutions and citizens to serious risks.
However, the announcement also invites a broader national conversation. How do we ensure that the necessary rules do not discourage experimentation, technological literacy and responsible innovation?
Regulation should not be understood as a choice between unrestricted technological adoption and outright prohibition.
There is a more constructive approach: establish clear boundaries around harmful practices while creating opportunities for beneficial applications.
Importantly, the announced internal public-service policy is not yet a comprehensive national framework governing every use of AI. Education institutions therefore have an opportunity to help shape sector-specific standards rather than wait passively for government-wide directives.
AI should strengthen, not replace, human intelligence
My friend’s experience illustrates an important distinction between intellectual assistance and intellectual substitution.
Consider two postgraduate students preparing a literature review. The first asks AI to produce the entire chapter, copies the response and submits it without verifying sources or engaging critically with the material.
The second uses AI to help identify themes, organise reading materials and explore alternative interpretations.
The student then retrieves original publications, evaluates the evidence, develops an independent synthesis and acknowledges AI assistance where required. Both have used AI, but their intellectual engagement is fundamentally different.
The first has potentially surrendered essential academic responsibilities. The second has used technology to support scholarly work while retaining responsibility for the final product.
Of course, AI-generated summaries and references can be inaccurate or entirely fabricated. Researchers must verify sources, examine original datasets and protect confidential research information.
AI assistance does not automatically make research rigorous or ethical. This distinction matters because universities should not treat every use of AI as academic dishonesty.
Neither should they assume that using AI automatically demonstrates innovation. The determining questions should concern transparency, originality, verification and the exent of meaningful human contribution.
Our education system needs AI literacy
UNESCO’s guidance on generative AI in education and research advocates a human-centred approach that protects human agency, privacy, inclusion and educational integrity.
This principle is especially relevant to Namibia. We cannot expect students to use AI responsibly if educators themselves have limited opportunities to understand its capabilities, limitations and ethical implications.
Nor can we develop effective institutional policies without distinguishing between legitimate research assistance, prohibited outsourcing of academic work and the use of AI for tasks involving sensitive information.
AI literacy should therefore become part of professional development for teachers, lecturers, researchers and institutional leaders.
Students should learn how to question AI-generated responses, verify claims, recognise bias, protect personal information and disclose AI assistance appropriately.
Curriculum and assessment practices also require attention. If an assignment can be completed entirely through uncritical copying from an AI platform, perhaps we should examine not only the student’s behaviour but also what the assessment is measuring.
Universities could place greater emphasis on oral defence, research portfolios, authentic projects, reflective explanations and assessments that demonstrate how students arrive at their conclusions.
The objective should not be to make AI impossible to use. It should be to ensure that learning remains visible even when AI is used.
Innovation requires more than restrictions
Namibia’s launch of the National Artificial Intelligence Institute in September 2026 presents another important opportunity.
The institute has been established to support research, software development, innovation and data capabilities, with potential applications in sectors such as education, healthcare, agriculture and public services.
This development signals an important recognition that Namibia must build its own technological capabilities rather than depend exclusively on solutions developed elsewhere. But institutions alone do not create innovation.
Innovation requires researchers who can experiment, universities that support interdisciplinary collaboration, educators who can test new teaching approaches and entrepreneurs who can develop locally relevant applications.
Equity must remain central
We must also recognise that AI opportunities are not distributed equally. A student with reliable connectivity, an appropriate device and access to quality digital resources may benefit considerably more than a student who struggles to afford mobile data.
Similarly, an urban university with strong digital infrastructure may adopt advanced research tools more rapidly than an institution operating under significant resource constraints.
If AI governance focuses exclusively on controlling misuse without addressing unequal access, we risk creating another dimension of educational inequality.
Responsible AI policy should therefore consider affordable connectivity, accessible learning platforms, digital skills development and support for institutions serving disadvantaged communities.
It should also encourage locally relevant applications that reflect Namibia’s languages, educational contexts and development priorities. Technology should not deepen the divide between those who can participate in the digital economy and those who remain excluded from it.
The responsibility is shared
Government has a legitimate responsibility to establish safeguards. Universities must protect academic standards.
Researchers must uphold scholarly integrity. Technology developers must design responsible systems. Educators must cultivate critical thinking. These responsibilities are complementary.
A practical way forward would be for Namibia’s education and research institutions to develop clear AI-use guidelines, train staff and students, introduce transparent disclosure requirements and establish mechanisms for evaluating emerging tools.
Institutions should distinguish acceptable assistance from prohibited academic substitution, while ensuring that assessment practices reward genuine understanding.
Government, academia and industry should also collaborate on controlled innovation environments where promising AI applications can be evaluated before wider implementation.
This would allow Namibia to learn from practical experience rather than govern an evolving technology entirely through assumptions. Above all, policy development should involve those who will use these technologies, including teachers, students, researchers and young innovators.
The future demands human judgement
I return to the conversation with my friend. What impressed me was not simply that he was pursuing two doctoral qualifications or that he had discovered ways to integrate AI into demanding research processes.
It was his understanding that technology should assist human intellectual effort rather than replace it.
That distinction captures the challenge facing Namibia. We need governance that protects academic integrity without discouraging research, safeguards personal information without preventing responsible data-driven innovation and addresses technological risks without denying young Namibians opportunities to develop future-oriented skills.
The future of education should not be framed as a contest between human intelligence and artificial intelligence. It should be about strengthening human capabilities in an increasingly AI-enabled world.
If Namibia regulates AI primarily out of fear that people may stop thinking, are we doing enough to teach them how to think critically while using it?
Dr Etuna Simon is a researcher, strategist and writer with a keen interest in education, innovation, artificial intelligence and national development. The views expressed in this article are solely those of the author. She can be reached at etunasimon@icloud.com
