AI incident ·
U.S. State Department Reportedly Presented AI-Generated Map That Mislabeled Every Labeled African Country
On this page 6 sections
In brief
An AI system built by Synthetic Media Generation Technology Developers, Synthetic Image Generation Technology Developers and 1 other and deployed by United States Department Of State and Government Agencies allegedly harmed United States Department Of State, Public Trust and 3 others.
- Risk domain
- Not classified
- Occurred
- Coverage
- 1 report
What happened
During a U.S. State Department presentation at the AIDS 2026 conference in Rio de Janeiro, a map carrying an OpenAI provenance signal reportedly mislabeled every African country shown with a label. The department attributed the slide to a team member's rushed revision and accepted responsibility for the resulting confusion and misrepresentation.
Laws on record for this risk area
No instrument on record yet covers this risk area where it happened. See the open queue.
Matched from the record's risk category and country to the instruments in effect recorded here: a law listed covers the area, which is not a finding that it applies to this incident. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).
News reports (1)
Titles link to the original publisher; report text is not reproduced here.
Who was involved
- Alleged deployer
- United States Department Of State, Government Agencies
- Alleged developer
- Synthetic Media Generation Technology Developers, Synthetic Image Generation Technology Developers, Openai
- Alleged harmed party
- United States Department Of State, Public Trust, Epistemic Integrity, Aids 2026 Attendees, African Partners Of The United States Department Of State
Classification (MIT AI Risk Repository taxonomy)
- Risk domain
- —
- Risk subdomain
- —
- Causal entity
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- Intent
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- Timing
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- Harm level
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- Sectors
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- Countries
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Source record: incident #1616 on the AI Incident Database · all 1 report