INTRODUCTION

The recent withdrawal of South Africa’s Draft National Artificial Intelligence (AI) Policy—just 16 days after being officially gazetted due to hallucinated academic citations—has been widely labelled a national embarrassment. It is certainly a bureaucratic catastrophe. However, the mainstream analysis emerging from our local academy risks committing an even greater error: framing this debacle as a failure of AI technology, rather than a failure of human accountability.

In a recent widely circulated critique, a senior cyber law academic rightly pointed out the failures of epistemic and information integrity within the Department of Communications and Digital Technologies (DCDT). 

Yet, the analysis fell into a familiar, systemic faultline that has plagued South African academia since the inception of generative AI around mid-2024: it shifts the blame to the tool, constructs a narrative of ”hateful distrust” toward technology, and completely misses the transformative power that bona fide AI holds for our nation’s future.

1. The Accountability Illusion: AI is Not the Scapegoat

The core flaw in current critiques is the tendency to treat AI as an autonomous, malicious actor that somehow infiltrated a government document. Let us be entirely clear: the final authority, and the ultimate accountability, rests solely with the human author.

An LLM did not sneak into the Government Printing Works and gazette that draft. A committee of highly compensated human officials, tasked with charting the digital future of our nation, chose to copy, paste, and publish text without verifying a single source. 

If a lawyer submits a brief with fabricated citations, they face disciplinary action or disbarment for professional negligence. Why, then, are we not calling for the immediate overhaul or sacking of the entire drafting team responsible for this policy?

By treating AI hallucinations as an external ”harm we are living with,” we let negligent bureaucrats off the hook. The rule must be absolute: Don't trust; verify. When verification fails, the human must take full responsibility for the havoc wreaked.

And the very first and foremost, now universally applied rule is, and remains: Don't Trust .Verify. In the case of South Africa, it is quite clear that officialdom hopelessly neglected to perform their most basic, prerequisite, already very well established duties. 

AI's propensity to ''hallucinate'', and in the process generate some stunning cocky- pot fabricated nonsense, is arguably its most protuberant , perverse character feature, ever since it so starkly knocked on the door of academic scholarship and then never left the premises. So we know this for how long now? Most definitely not since yesterday. 

Every single first year undergrad knows this, and only too well. In other words, in its very first line of duty, the South African government and its AI task team, have failed miserably, and totally unnecessarily so. 

And perhaps the one and only redeeming feature flowing from this globally mortifying episode in South African tech history, is the unquestioning credibility of, as well as absolute necessity for, precisely: Dont Trust. Verify. (Side script: for parents of young kids reading this – don't trust, verify, most commonly would be communicated as ''always consult with a trusted adult, e.g. parent, teacher, etc.''

2. The South African Academic Vacuum: A Culture of Fear

This policy blunder does not happen in a vacuum. It is the direct symptom of a broader academic discourse in South Africa that, more often than not, tends to treat AI purely with suspicion, distrust and defensiveness, .

High-profile local scholars—Prof. Sumaya Laher, Prof. Selli McKenna, and Prof. Aslam Fataar, among others —have contributed to significant academic platforms, all too often framing AI predominantly as a disruptive, potentially destructive force. The local academic commentary remains obsessively hyper-focused on:

• Plagiarism and cheating in the classroom.
• The erosion of independent and critical thinking.
• The threat of deep fakes, misinformation, and fraudulent scholarship/authorship 

Make no mistake. These risks are very real and concrete, and there for all to see. But let's be very honest here. 

AI by no means is the bearer of a goody -basket filled purely, right to the brim, with half a dozen of so shitty, rotten tomatoes. Accordingly, we encounter a localised defensive posture that, almost completely fails to: 

1. articulate the many novel measures undertaken globally precisely to circumvent such hazards, as well as
2. focus on the enormous, unprecedented potentialities now on offer by an increasingly powerful artificial knowledge generation source. 
3. Overall, we could say our intellectual elite are operating in an isolated echo chamber, viewing AI as an adversary to be contained, rather than a historic catalyst for societal advancement.

3. The True National Crisis: AI & Illiteracy

What is the cost of this academic technophobia? 

It holds the country back from addressing our true historical scourges. 

South Africa is trapped in a generational crisis of extreme low reading achievement and systemic illiteracy. 

When the Progress in International Reading Literacy Study (PIRLS) indicates that the vast majority of our Grade 4 learners cannot read for meaning, it serves as a direct indicator of stymied national development. 

This foundational deficit directly explains our low university throughput rates, low post-school productivity, and catastrophic youth unemployment numbers.

For the first time in history, South Africa is fully capacitated to leapfrog these structural quagmires. 

Prudent, visionary application of trusted AI technology—such as localized, adaptive, AI-driven personal tutoring systems—can democratize high-quality foundational education at a scale and cost previously unimaginable.

AI is the primary tool to rid the nation of its educational deficits. Yet, instead of designing policies to aggressively deploy AI for social upliftment, our current public and academic discourse is actively building a wall of distrust around it.

4. A Global Reality Check: Learning from MIT and China

While South African scholars debate how to insulate the country from AI, the rest of the world is leveraging it as the defining engine of the 21st century.

Consider the global landscape:

• The Global East: China, a nation of over 1.4 billion people, has effectively declared the 21st century as the era of AI innovation, specifically tying AI capabilities to large-scale social development, poverty alleviation, and state efficiency. This is not about blindly copying the Chinese governance model; it is about recognizing the sheer, unmatched scale of their technological ambition.
• The Global West: Leading global institutions like the Massachusetts Institute of Technology (MIT) are continuously driving research that integrates AI into structural economic development, structural engineering, and public health transformation.

Where is South Africa’s interest in these global developments? Why are our policy formulation spaces so insulated from cutting-edge global benchmarks? 

By focusing entirely on defensive regulation, our mainline voices are effectively keeping the country stuck in the gutters of developmental stagnation.

Conclusion: Are We Awake Yet?

Perhaps the hallucinated references in the DCDT’s draft policy were a deliberate wake-up call from the ether of the digital world—a mirror held up to our national consciousness asking: South Africa, are you awake?

As bona fide citizens and scholars, it is our democratic duty to draw attention to policies that affect the entire nation. The academy’s primary responsibility is not to cower away from innovation or construct regulatory frameworks born out of fear. It is to lead the charge in mastering the tool.

We must stop treating AI as a convenient scapegoat for human laziness. We need a completely revised national strategy drafted by a fresh, highly competent team—one that establishes absolute human accountability through rigorous verification, while simultaneously unleashing the immense power of AI to transform South African education, productivity, and economic growth.

Recommended Readings

• The Conversation Africa. (2024-2026). The Conversation
• State Council of the People's Republic of China. (2017). A Next Generation Artificial Intelligence Development Plan: Driving social upliftment and innovation.
• MIT Work of the Future. (2025). Artificial intelligence and economic transformation: lessons for developing economies.