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/News/South Africa Withdraws Draft National AI Policy Over Sources

South Africa Withdraws Draft National AI Policy over Sources

South Africa has withdrawn its Draft National Artificial Intelligence Policy after fictitious references were found, raising fresh concerns about AI policy drafting.

In Short

South Africa has pulled its Draft National Artificial Intelligence Policy after officials found fictitious sources in the document’s reference list. The move pauses a key national plan for how AI should be governed in the country.

What Happened

South Africa’s Minister of Communications and Digital Technologies, Solly Malatsi, has withdrawn the Draft National Artificial Intelligence Policy.

The withdrawal follows the discovery of made-up citations in the policy’s list of references. In simple terms, the document pointed to sources that do not exist, which undermines confidence in the research behind it.

The draft policy was meant to guide how South Africa approaches artificial intelligence, including how government and industry should manage risks like bias (when systems unfairly treat certain groups) and privacy.

When a policy is withdrawn, it usually means the public consultation and revision process needs to restart. It can also signal that the department will reissue a corrected draft after an internal review.

Why It Matters

AI policy is not only a government issue. It affects startups, enterprise software teams, investors, and universities building or deploying AI tools.

If South Africa’s AI policy process slows down, companies may face more uncertainty about upcoming compliance rules. Compliance rules are the “must follow” requirements, like how you handle user data or explain automated decisions.

The incident also shows a growing operational risk for public sector work, which is over-reliance on AI text generators without strong verification. AI-generated writing tools can produce believable looking citations that are wrong, unless people check every source.

For the wider African tech ecosystem, this is a cautionary example. Countries drafting AI strategies may need tighter quality controls, clearer authorship, and stronger peer review so policy documents are credible before they shape regulation and procurement.

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