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South Africa's draft national AI policy explained

South Africa's draft national AI policy was published for comment on 10 April 2026 and withdrawn on 26 April after fictitious references were found in it. A revised draft is expected at Cabinet in November 2026. Meanwhile POPIA applies, and Arke Technologies, in Johannesburg, helps organisations write and apply their own AI policy.

Insights

South Africa's draft national AI policy explained

Last reviewed: September 2026, 14 min read

South Africa's draft national AI policy was published for comment on 10 April 2026 and withdrawn on 26 April after fictitious references were found in it. A revised draft is expected at Cabinet in November 2026. Meanwhile POPIA applies, and Arke Technologies, in Johannesburg, helps organisations write and apply their own AI policy.

Where South Africa's AI policy stands

Last reviewed: September 2026.

South Africa has no AI-specific law, and in September 2026 it has no adopted national AI policy either. The draft AI policy that came closest was withdrawn 16 days after publication. This guide, part of our insights and guides, tracks the policy as it moves; here is how AI policy in South Africa reached this point, with the source for each step:

  • 5 April 2024

    The Department of Communications and Digital Technologies (DCDT) convenes a National AI Government Summit on a draft national AI plan, which starts the policy process (DCDT, April 2024).
  • August 2024

    The DCDT publishes a National AI Policy Framework for consultation, with pillars ranging from talent and digital infrastructure to ethics, privacy, safety, transparency and a human-centred approach (Polity, August 2024).
  • 25 March 2026

    Cabinet approves the Draft South Africa National Artificial Intelligence (AI) Policy for public comment (SAnews, April 2026).
  • 10 April 2026

    The draft is published in the Government Gazette, with comments due by 10 June 2026 (SAnews, April 2026).
  • 26 April 2026

    The Minister of Communications and Digital Technologies withdraws it after fictitious sources are found in its reference list, saying AI-generated citations were included without proper verification (SAnews, April 2026).
  • May 2026

    An independent panel of seven experts in AI research, law and digital governance is appointed to review and rebuild the draft (Wits University, May 2026).
  • July 2026

    Officials signal a lighter, sector-led policy, and Parliament's portfolio committee favours strengthening existing regulators over creating new institutions (TechCentral, July 2026).
  • November 2026, expected

    The revised draft goes to Cabinet, with public consultation targeted for January 2027 (TechCentral, May and July 2026).

What the draft South Africa National Artificial Intelligence (AI) Policy proposed

Although it was withdrawn, the April 2026 draft shows the direction of travel, and much of it is likely to return in some form. It proposed:

  • Six strategic pillars: capacity and talent development; AI for inclusive growth and job creation; responsible governance; ethical and inclusive AI; cultural preservation and international integration; and human-centred deployment (DLA Piper, May 2026).
  • Six principles: fairness; reliability and safety; privacy and security; inclusiveness; transparency; and accountability, with meaningful human oversight of AI (DLA Piper, May 2026).
  • A risk-based approach, with stricter rules for the uses of AI that can do the most harm.
  • Seven new institutions, among them a National AI Commission, an AI Ethics Board, an AI Regulatory Authority, an AI Ombudsperson, an AI Insurance Superfund and a National AI Safety Institute (DLA Piper, May 2026; TechCentral, July 2026).

Nothing in the draft bound an organisation, and its withdrawal changes nothing in the law that already applies. What it shows is where the national AI policy framework is heading: human oversight, transparency, accountability and rules scaled to risk. An organisation that builds those into its own AI policy now will not have to start again when the revised policy arrives.

Why the draft AI policy was withdrawn, and the lesson in it

The draft was withdrawn not for what it proposed but for how it was written. References in its bibliography pointed to academic sources that do not exist, the pattern generative AI produces when it "hallucinates", and the Minister said the failure had compromised the integrity and credibility of the draft (SAnews, April 2026).

The withdrawal of South Africa's AI policy is therefore a governance lesson for every organisation: a national policy on AI reached publication with unchecked AI output in its references. The same failure can happen in a board pack, a tender response, a council report or a school newsletter, which is why every generative AI policy should say who checks AI-assisted work before it leaves the organisation, and how the use of AI is disclosed.

Publishers settled this question early. COPE, the Committee on Publication Ethics, stated in February 2023 that AI tools cannot be listed as authors, that their use must be disclosed and that human authors remain responsible for the content (COPE, February 2023). The COPE AI policy position is a sound model for any organisation that publishes reports, research or official documents.

A presenter at a flip chart addresses a board around a boardroom table.

What the revised national AI policy is likely to change

The independent panel is rebuilding the policy, and officials have described a lighter approach: national guidance, with sectors developing their own AI strategies. The original proposal for seven new institutions is being reconsidered, and Parliament's portfolio committee has said it prefers to strengthen existing regulators such as the Information Regulator, ICASA, the Competition Commission and the National Consumer Commission (TechCentral, July 2026).

If that holds, regulators you already deal with will carry most of the load: the Information Regulator for personal information, and your sector regulator for the rest. When people ask for South Africa's national AI strategy, this policy is the document to watch, because it is where the national direction on skills, infrastructure, investment and governance is being set. Departments and municipalities writing a government AI policy for their own use of AI need not wait either: the PFMA and MFMA disciplines on procurement, records and audit already apply to any AI they buy or build (PFMA, MFMA and ICT procurement).

The rules that already apply to AI in South Africa

South Africa has no AI-specific statute, but AI is not unregulated. These apply today:

  • POPIA. It governs personal information in every AI system. Section 71 restricts decisions based solely on automated processing that substantially affect a person; section 72 restricts transfers abroad, including personal information in a prompt sent to a model hosted overseas; sections 19 and 22 require security safeguards and notice of a security compromise; and sections 34 and 35 set stricter rules for children's personal information. See our POPIA compliance checklist.
  • King IV. Principle 12 makes the governing body responsible for technology and information governance, and AI falls within it. See King IV and technology governance.
  • The PFMA and MFMA. Accounting officers and accounting authorities in departments, public entities and municipalities answer for procurement, records and internal control, including for AI.
  • Employment and equality law. AI used in hiring, performance management or discipline must not discriminate unfairly.
  • Consumer protection. AI-generated marketing must meet the Consumer Protection Act like any other claim.
  • The EU AI Act, for organisations whose AI systems or outputs are used in the European Union.

How to draft an AI policy for your organisation

You do not need to wait for the national policy. An AI policy framework proportionate to how you use AI takes six steps:

  1. Find out where AI is already used, including free tools staff adopted on their own and AI built into software you already license.

  2. Rate each use by risk

    who could be harmed, what data is involved and which decisions must stay human.

  3. Write the policy

    approved tools, banned uses, data rules, human review, disclosure and accountability.

  4. Put the controls into the systems

    access, data-loss prevention, logging and approved accounts, so that the policy is enforced rather than hoped for.

  5. Train people by role, from everyday users to those who approve AI projects.

  6. Report and review

    keep the register current, report incidents, and review the policy at least annually and whenever the national policy changes.

An ethical AI policy states values; a working one adds the owners, rules and records that make those values real. Our Emergent Intelligence design framework supplies the principles we start from when we draft one: agency preservation (AI recommends; people decide), transparency, governance and auditability, progressive enhancement, and ethical boundaries.

Sample AI policy for employers

This example AI policy structure suits most employers. Adapt it with your legal counsel: it is a starting point, not legal advice.

  • Purpose and scope: who the policy covers, including contractors, and which kinds of AI it covers.
  • Approved tools: the business editions staff may use, and how to request a new tool.
  • Prohibited uses: for example, entering personal, confidential or client information into unapproved tools, or letting AI make final decisions about people.
  • Data rules: what may never go into a prompt, and where processing may take place.
  • Human review: a named person checks and owns anything AI-assisted that leaves the organisation.
  • Disclosure: when customers, citizens or readers are told that AI was used.
  • Decisions about people: hiring, performance, credit and service decisions keep meaningful human review, in line with POPIA section 71.
  • Security: approved accounts with multi-factor authentication, and awareness of prompt injection.
  • Records: an AI use register listing the owner, purpose, data and provider of each system.
  • Incidents: how to report a wrong output, a data leak or misuse, and what happens next.
  • Training and review: who is trained on what, and when the policy is next reviewed.

An AI policy for law firms adds client confidentiality and privilege, client consent for AI use on their matters, and a rule that every citation is checked against its source before anything is filed. See IT for law firms.

Sample AI policy for schools

Schools face the same questions with higher stakes, because learners are children and assessment integrity is at issue. A sample AI policy for schools, for principals and school governing bodies to adapt:

  • Learner use by phase: which uses are allowed, supervised or banned at each grade, and for which tasks.
  • Assessment integrity: learners declare AI use, and teachers design assessments that test understanding rather than polished text.
  • Detection tools: do not rely on them. The University of Cape Town (UCT) stopped using Turnitin's AI score from 1 October 2025 because AI detection tools are widely considered unreliable (UCT News, July 2025).
  • Teacher use: lesson planning and administration are fine, but learner names, marks and reports stay out of public tools.
  • Children's personal information: POPIA sets stricter rules for it (sections 34 and 35), so only approved tools inside your Google Workspace for Education or Microsoft 365 Education tenant should touch learner data.
  • Parents: tell them which tools are used and why, and obtain consent where the law requires it.
  • Training and review: staff training each year, and an annual review by the governing body.

Universities have moved first. The UCT AI policy for teaching, its AI in Education Framework, was endorsed by the university's Senate Teaching and Learning Committee in June 2025 and rests on three pillars: AI literacy for staff and students, assessment integrity, and AI-enabled innovation in teaching, learning and curriculum design (UCT News, July 2025). See IT for schools and education and IT for universities, TVET colleges and training providers.

Vendor AI policies: SAP, Microsoft and Google

Your AI policy also depends on your suppliers' policies. Enterprise software vendors publish their own rules for how they build and use AI. SAP, for example, publishes a Global AI Ethics Policy with ten principles drawn from UNESCO's Recommendation on the Ethics of Artificial Intelligence, and Microsoft and Google publish responsible-AI principles for their products.

Read the SAP AI policy, or any vendor's, alongside its data-processing terms: together they tell you whether prompts are stored, whether they are used to train models, and where your data is processed. We review these terms before we recommend or configure any tool that will handle your data.

When to call in an AI policy specialist

An AI policy specialist can mean two different people, and most organisations need both. A lawyer interprets the law for your circumstances: POPIA, employment law, sector regulation and contracts. A technology specialist turns the policy into controls: who can use which tool, what is logged, where data goes and how the board sees it.

Arke Technologies is a technology company, not a law firm, and nothing on this page is legal advice. We draft AI policies and governance frameworks alongside your legal counsel, build the controls in Microsoft 365, Google Workspace and the systems we manage, train staff and report to your audit and risk committee. See our AI governance service, our wider AI consulting and implementation practice and how we disclose our own use of AI.

How we help, and procurement fit

  • Start: an AI readiness session that maps where AI is already used, formally and informally.
  • Deliver: an AI use register, risk ratings, a draft policy for board or council approval, controls, training and reporting.
  • Governance: a named service lead, regular reporting to your audit and risk committee, and change control as the national policy evolves.
  • Procurement: Arke Technologies (Pty) Ltd is a Level 1 B-BBEE contributor, giving 135% procurement recognition (sworn affidavit available on request); company documents, our CSD supplier number and SARS tax compliance status are available on request, and we complete standard bidding documents when a bid requires them.
  • Continuity: you own the policy, the AI use register, the risk assessments and the documentation, in editable formats.

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Frequently asked questions

Does South Africa have a national AI policy? Show answer

Not yet. The Draft South Africa National Artificial Intelligence (AI) Policy was published for comment on 10 April 2026 and withdrawn on 26 April 2026 after fictitious references were found in it. A revised draft is expected at Cabinet in November 2026, with public consultation targeted for January 2027. Until then, POPIA and other existing laws govern AI.

Why was South Africa's draft AI policy withdrawn? Show answer

It was withdrawn because its reference list contained fictitious academic sources, which the Minister of Communications and Digital Technologies attributed to AI-generated citations included without proper verification. The Minister said the failure compromised the integrity and credibility of the draft. An independent panel of seven experts was then appointed to review and rebuild the policy.

Is there an AI law in South Africa? Show answer

No, South Africa has no AI-specific law, but AI is regulated through existing law. POPIA governs personal information in AI systems, including section 71 on decisions based solely on automated processing and section 72 on transfers abroad. King IV, the PFMA and MFMA, employment law and the Consumer Protection Act also shape how organisations may use AI.

What should an AI policy for employers include? Show answer

An AI policy for employers should cover approved tools, prohibited uses, the data that may never go into a prompt, human review of AI-assisted work, disclosure, decisions about people, security, an AI use register, incident reporting, training and a review date. Keep it short enough for staff to read, and have the board approve it.

Do schools need an AI policy? Show answer

Yes, every school needs an AI policy now, because learners and teachers already use AI tools. It should set what learners may use in each phase, how assessment integrity is protected, what teachers may put into AI tools and how children's personal information is protected under POPIA. The governing body should approve it and review it annually.

What is the difference between an AI policy and an AI policy framework? Show answer

An AI policy sets the rules: approved tools, banned uses, data, review and accountability. An AI policy framework is the wider system that keeps those rules working: the register of AI uses, risk ratings, controls in your systems, training, reporting and review. Most organisations need the policy first and grow the framework as their use of AI expands.

Who should own AI policy in an organisation? Show answer

The board or governing body is accountable, and one executive should own AI policy day to day, often the head of IT, risk or compliance, or the information officer. Each AI system also needs a business owner. In municipalities and departments the accounting officer stays answerable under the MFMA or PFMA, so AI belongs on the audit committee's agenda.

Put an AI policy in place before the national one arrives

In an AI readiness session we map where AI is already used across your organisation, where the risks sit and what a proportionate AI policy needs to cover.