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AII-1000-36169
ConfirmedA court, a regulator or the organization itself has stated the core facts, or the record cites a court or regulator source.

U.S. State Department presented AI-generated map mislabeling African countries

A map displayed by the U.S. State Department at an international AIDS conference in Brazil mislabeled every African country shown, with analysis indicating it was generated using OpenAI tools. The department acknowledged responsibility for the error, attributing it to a staff member who hastily prepared the slide deck without proper verification.

30 July 2026 Β· U.S. State Department Β· Reliability and hallucination
30 July 2026
AII-1000-36169View source β†—
Quick facts
Category
Reliability and hallucination
Country
Brazil
Source
reuters.com
Date
30 July 2026
Drafted by
Raidu Incident Detection

What happened

A map of Africa displayed during a U.S. State Department presentation at the AIDS 2026 conference in Rio de Janeiro mislabeled every country shown on it.

The map showed Nigeria as landlocked in the Sahara Desert, Mozambique relocated to the Horn of Africa, and Ivory Coast placed on the other side of the continent.

A Reuters analysis found the image contained an artificial intelligence watermark indicating it was made with OpenAI tools. The State Department said the map had been produced by a team member who hastily changed the slide deck before the event.

Reported impact

Attendees at the conference took screenshots of the map and posted them online, with screenshots widely shared on LinkedIn and a Substack post by AIDS expert Emily Bass garnering some 40,000 views.

The State Department said it took 'full responsibility' for the confusion and misrepresentation caused to attendees, including African partners.

Index analysis

The mislabeled map suggests the AI tool generated inaccurate geographic information and the team member who used it did not verify the output before presentation.

Governance controls

The State Department stated that the map had been produced by a team member who hastily changed the slide deck before the event, suggesting insufficient review procedures were in place.

Classification

Category
Reliability and hallucination
Industry
Government, security and defence
Country
Brazil
Harm status
Actual harm
Intent
Unintentional
Timing
Pre-deployment
Harm types
Reputational, Public interest
Harmed
Government
Failure modes
Hallucination, Misidentification
Consequences
None recorded
AI systems
OpenAI tools

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

reuters.com
U.S. State Department presented AI-generated map mislabeling African countries