{"name":"Applied AI in Central African Republic — the record","description":"Every announced initiative, deployment, published result and regulation of applied AI on the record for Central African Republic, tagged by kind, industry, region and role, sourced and dated. A slice of the State of Applied AI record, maintained continuously by the Industrial Research Unit of the Straits Institute for Applied AI.","source":"https://www.straitsai.institute/state-of-applied-ai/central-african-republic","partOf":"https://www.straitsai.institute/state-of-applied-ai/evidence.json","attribution":"Industrial Research Unit, Straits Institute for Applied AI","updated":"2026-10-29","facet":{"kind":"country","name":"Central African Republic","slug":"central-african-republic","iso2":"CF","region":"Sub-Saharan Africa"},"counts":{"entries":4,"deployments":3,"evidenceImpact":0,"evidenceAdoption":1,"regulation":0,"industries":3,"countries":1,"linked":4},"entries":[{"kind":"deployment","industry":"Media, Telecom & Entertainment","region":"Central African Republic","role":"Fact-checking journalist","org":"Radio Ndeke Luka","text":"Radio Ndeke Luka's Bangui verification desk, #StopAtenè, ran AI deepfake detection, the tool Hive Detection, against a clip alleging Kim Jong-un's pledge of North Korean military backing for Iran. It measured a 98.5% probability the clip's voice was synthetic, with manipulation markers elsewhere in the footage, and separately caught the clip misdating a Kim address to 25 March 2026 against his genuine 23 March appearance. #StopAtenè's verdict, published 2 April 2026 through AI-generated video verification, found no proof behind the claim.","date":"2026-04-02","source":"https://www.radiondekeluka.org/98693-attention-la-coree-du-nord-nest-pas-entree-dans-la-guerre-en-iran"},{"kind":"deployment","industry":"Media, Telecom & Entertainment","region":"Central African Republic","role":"Fact-checking journalist","org":"Centrafrique Check","text":"Centrafrique Check, a Bangui fact-checking outlet, ran AI image detection with two tools, MyDetector and TruthScan, on a photo attached to claims a French national had been arrested in Zémio, Haut-Mbomou, circulating from around 7 March 2026. Médecins Sans Frontières had confirmed the detention, around 4 March 2026, of two of its own staff, one French and one Central African, taken to Bangui. Both tools put roughly 98% odds on artificial generation, pointing to a skin-tone mismatch on the soldier's hand where it gripped the detainee. AI-generated photo verification found the arrest genuine, the picture false.","date":"2026-03","source":"https://centrafriquecheck.org/cette-photo-est-generee-par-lintelligence-artificielle/"},{"kind":"evidence-adoption","industry":"Business Operations","region":"Central African Republic","org":"Microsoft AI Economy Institute","text":"AI adoption in the Central African Republic reached 8.7% of the working-age population in the first quarter of 2026, 0.9 points above 7.8% for the second half of 2025 and 7.0% for the half before. Worldwide the share moved from 16.3% to 17.8% over those months, on the Microsoft AI Economy Institute count. Its gauge tracks generative AI use among 15- to 64-year-olds, from pooled, anonymised Microsoft telemetry corrected for operating system, device-market share, internet reach and population.","date":"2026-03","source":"https://www.microsoft.com/en-us/research/wp-content/uploads/2026/05/Microsoft-AI-Diffusion-Report-2026-Q1.pdf"},{"kind":"deployment","industry":"Healthcare & Life Sciences","region":"Central African Republic","role":"Public health official","org":"National Tuberculosis Programme of the Central African Republic, The Union and EPCON","text":"An AI model for TB hotspot mapping split Bangui into 100-metre grids, surfacing clusters the Central African Republic's National Tuberculosis Programme (NTP) never knew existed. Built with The Union and EPCON using density and clinic-distance data, findings published 13 August 2025. Officials then targeted screening at districts with the heaviest TB burden.","date":"2025-08-13","source":"https://theunion.org/news/mapping-tb-with-ai-brings-new-hope-for-surveillance-in-low-resource-settings"}]}