US government’s Africa map blunder fuels accusations of racial bias, colonial arrogance and enduring Western attitudes towards Africa

The United States government misplaced every African country on a map shown during a major international conference in Brazil. The blunder has reignited accusations of racial bias, colonial arrogance and enduring Western attitudes towards Africa.

The map was displayed during a presentation by the US State Department at the AIDS 2026 conference in Rio de Janeiro. Instead of correctly identifying African countries, it relocated nations across the continent, placing Nigeria in the Sahara Desert, moving Mozambique to the Horn of Africa and shifting Ivory Coast to the opposite side of the continent. Malawi was also incorrectly positioned.

According to Reuters, the mistake quickly spread online after delegates took screenshots and shared them on social media.

Reuters reported that “a U.S. government map of Africa mislabeled every country during a State Department presentation at a global conference taking place in Brazil this week, causing a stir among attendees who took screenshots and posted them online.”

The incident has fuelled criticism that some Western institutions continue to view Africa through a colonial lens, treating the continent as a single, interchangeable place rather than a continent of 54 sovereign states with distinct histories, cultures and identities.

Reuters said its analysis found “the image of the map included in the presentation contained an artificial intelligence watermark that signals it was made with OpenAI tools.” OpenAI told Reuters it was investigating the report.

The incident has also revived wider criticism of artificial intelligence systems and the data used to train them. Researchers and users have repeatedly highlighted examples where AI-generated images portray African countries using stereotypes associated with poverty, rural villages and underdevelopment, even when prompted to generate modern, affluent or futuristic African cities. AI companies have acknowledged that generative models can reflect biases in their training data and have said they are working to reduce such distortions.

Critics argued that the error went beyond a simple technical mistake. Matt Petit, an AI and geopolitics specialist at the Atlantic Council, wrote that “Whoever created and approved this slide did not know where countries in Africa are and did not care to check their work,” Reuters reported.

Malawi24’s own testing has found similar patterns. In separate tests, AI models including ChatGPT and Claude repeatedly generated stereotypical depictions of Africa, favouring mud huts, rural villages and poverty over modern skylines, even when explicitly instructed to create wealthy or futuristic African cities. The findings have fuelled concerns that AI systems can reproduce historical biases and Western narratives that portray Africa primarily through the lens of underdevelopment.

The controversy has also renewed scrutiny of US attitudes towards Africa. In 2018, multiple participants at a White House immigration meeting said President Donald Trump referred to African nations and Haiti as “shithole countries,” triggering international condemnation and accusations of racism. Trump denied making the specific remark.d global condemnation. Trump denied using those exact words.