{"name":"Applied AI in Greenland — the record","description":"Every announced initiative, deployment, published result and regulation of applied AI on the record for Greenland, 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/greenland","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":"Greenland","slug":"greenland","iso2":"GL","region":"Latin America & Caribbean"},"counts":{"entries":4,"deployments":3,"evidenceImpact":0,"evidenceAdoption":1,"regulation":0,"industries":4,"countries":1,"linked":4},"entries":[{"kind":"deployment","industry":"Transport & Logistics","region":"Greenland","role":"Ship captain / navigator / seafarer","org":"Danish Meteorological Institute","text":"Machine learning now drives ASIP (Automatic Sea Ice Products), DMI's (Danish Meteorological Institute) tool for AI-based sea ice charting across Greenlandic waters, built from satellite imagery. Royal Arctic Line, DanPilot Greenland and Arctic Command crews compared the automated output against hand-drawn charts through the season and reported quicker, more frequent refreshes than the older method allows. Accuracy still slips along coastlines and once melting begins, DMI notes, a gap explored at the 26 March 2026 review of the AI sea ice mapping trial.","date":"2026-03","source":"https://www.sermitsiaq.ag/samfund/gronlandske-sofolk-har-testet-iskort-baseret-pa-ai/2355475"},{"kind":"evidence-adoption","industry":"Business Operations","region":"Greenland","org":"ilik konsulentfirma & Grønlands Erhverv","text":"A poll of local firms by ilik konsulentfirma and the Confederation of Greenland Industry (Grønlands Erhverv) puts business AI adoption in Greenland at 85%. Staff lean chiefly on ChatGPT, Claude, Mistral and Copilot for drafting copy, running analysis, and shaping marketing or social posts. Nearly all, 91%, expect their AI use in Greenlandic companies to grow further, yet thin knowledge and weak skills still stand as the top obstacle.","date":"2026-01-12","source":"https://ilik.gl/kunstig-intelligens-vinder-frem-i-groenlandske-virksomheder/"},{"kind":"deployment","industry":"Agriculture & Food","region":"Greenland","role":"Quality control technician","org":"Royal Greenland","text":"A computer vision AI for shrimp quality control, built by Royal Greenland with Trifork, cuts prawn inspection from 3-4 minutes to about 10 seconds per sample, at 95% accuracy on counting and recognition. Cameras judge colour and weight, replacing manual handling. Live at Cuxhaven, the AI-based prawn inspection system extends to Ilulissat, a Greenland site short of workers.","date":"2025-11","source":"https://www.danskindustri.dk/vi-radgiver-dig/virksomhedsregler-og-varktojer/ai/cases-og-eksempler/casearkiv-ai-for-alle/royal-greenland/"},{"kind":"deployment","industry":"Healthcare & Life Sciences","region":"Greenland","role":"Radiologist","org":"Queen Ingrid's Hospital","text":"Queen Ingrid's Hospital in Nuuk installed an AI-powered MRI scanner from GE HealthCare for sharper, quicker scans. This brings AI-assisted MRI scanning to Greenland's stretched healthcare system, letting it handle more patients despite thin local infrastructure. Rigshospitalet in Copenhagen can now run it remotely, sparing patients the 3,500-kilometre trip to Denmark.","date":"2025-07","source":"https://www.gehealthcare.com/en/insights/article/modern-technology-and-sustainable-innovations-how-tailored-imaging-is-revolutionizing-care-in-isolated-regions"}]}