Rest of World reported on October 2, 2026 that African leaders at the UN Security Council demanded to be "equal co-architects" of global AI safety standards. Liberia's UN representative Lewis Garseedah Brown II said Africa "must be equal co-architects in determining the standards, ethics, and architectures of this technological era." Somalia's state minister for foreign affairs, Ali Mohamed Omar, said Africa "cannot remain merely a market for systems developed elsewhere, a source of raw data, or a testing ground."
The demand is fair. This piece argues that the claim to a seat is strongest when it is backed by domestic institutions that constrain the state's own use of digital power. Zimbabwe's social media monitoring regime shows how far that gap runs.
The case for a seat is strong
The Rest of World report describes a lopsided picture. More than 80% of 85 large African companies surveyed by PricewaterhouseCoopers were running AI pilots, using both American models such as ChatGPT and Claude and Chinese systems such as DeepSeek and Kimi. Many lack formal safety oversight structures. Fewer than half of African countries have an AI policy or strategy, and Kenya is the only African participant in the international network building evaluation methods for advanced models.
Academic work points the same way. A 2025 paper by African researchers, "Toward an African Agenda for AI Safety", found that only 26.8% of the states it measured showed any concrete activity on safety, accuracy or reliability. It also found that no African computer incident response team hosts a dedicated AI safety institute or office. A continent that imports its models cannot test them independently, so its risks are defined by others. Evaluations built around Western threat models will miss African harms such as election manipulation and local-language failures.
The strongest case for state monitoring
Governments that watch online speech have a real argument. Platforms carry incitement and fraud, and security services say they cannot respond to threats they cannot see. Zimbabwe's Cyber and Data Protection Act [Chapter 12:07] was enacted on December 3, 2021 and republished with its corrected title on March 11, 2022. It creates a Cyber Security Centre and criminalises hacking, unlawful interception and inciting violence by data message. Those are legitimate aims, and the Act does designate a data protection authority.
Where oversight is thin
The design is the problem. Under the Act, the Postal and Telecommunications Regulatory Authority, the telecoms regulator, doubles as the Data Protection Authority. Data protection is therefore supervised by the same sector regulator that licenses the networks, and the Act sets no separate independent privacy commission. The Act defines sensitive data to include political opinions and trade union membership. Yet its amended penalties say the Cyber Security and Monitoring Interception of Communications Centre can certify an offence as aggravated by a "breach of State Security", raising the maximum penalty to ten years' imprisonment. The monitoring body therefore helps decide how severely a case is punished.
The politics are on record. In November 2021, ITWeb reported that Information Minister Monica Mutsvangwa said the government had set up a cyber team to monitor social media posts. She said it had "no intention to regulate social media" but expected posts to "promote and not demonise the country." A monitoring standard of "do not demonise the country" is a tone test, not a legal test. Criticism of officials is exactly the speech that free expression protects.
Why this matters for AI safety
The hook and the Zimbabwe record fit together through institutions, not through any claim about AI in Zimbabwe. Nothing in the sources shows Zimbabwe using AI for surveillance. The point is that the oversight a safe-AI regime needs is the same kind that Zimbabwe's monitoring regime lacks: an independent body, transparent criteria, and tests that do not depend on the deployer's word. Kenya offers a cautionary parallel. CIPESA's analysis of Kenya's AI regulation gap notes that the country ranks 93rd in the 2025 Government AI Readiness Index and lacks mandatory algorithmic impact assessments. It also points to inadequate safeguards against surveillance technologies such as facial recognition.
If African states ask the world to treat them as co-architects, outside partners will ask who inside those states checks the powerful. Without an answer, the seat is easy to deny.
A proportionate path
A proportionate response does not require heavy AI licensing regimes that African regulators cannot staff. It starts with four cheaper steps:
- Separate data protection supervision from telecoms licensing and give the supervisor statutory independence.
- Require judicial authorisation and annual public reporting for monitoring and interception.
- Replace tone-based standards such as "demonising the country" with narrow, incitement-style offences.
- Fund shared African evaluation capacity, including the African AI Safety Institute and benchmarks in African languages proposed in the 2025 paper, so safety testing does not depend on US or Chinese vendors.
This approach keeps the open internet open and protects innovation from both foreign dependence and domestic overreach. Africa's argument at the Security Council is right on the merits. It will carry further when governments such as Zimbabwe's pair it with limits on their own watching.